Senators
Accueil
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Senators 16-14-3, 35pts	3	FINAL	6	Flames 14-18-2, 30pts

Team Stats
W1	Streak	W2
8-8-1	Home Record	8-11-0
8-6-2	Away Record	6-7-2
4-5-1	Last 10 Games	7-3-0
3.03	Goals Per Game	2.47
3.00	Goals Against Per Game	3.09
15.63%	Power Play Percentage	18.87%
85.71%	Penalty Kill Percentage	78.05%

Senators
16-14-3, 35pts

FINAL

Canucks
16-12-5, 37pts

Team Stats
W1	Streak	L1
8-8-1	Home Record	10-6-2
8-6-2	Away Record	6-6-3
4-5-1	Last 10 Games	3-5-2
3.03	Goals Per Game	2.94
3.00	Goals Against Per Game	3.21
15.63%	Power Play Percentage	17.86%
85.71%	Penalty Kill Percentage	76.53%

Senators
16-14-3, 35pts

2024-12-22

Oilers
16-12-5, 37pts

Statistiques d’équipe
W1	Séquence	L1
8-8-1	Fiche domicile	8-7-4
8-6-2	Fiche visiteur	8-5-1
4-5-1	10 derniers matchs	4-5-1
3.03	Buts par match	2.58
3.00	Buts contre par match	2.85
15.63%	Pourcentage en avantage numérique	11.54%
85.71%	Pourcentage en désavantage numérique	83.04%

Senators
16-14-3, 35pts

2024-12-28

Jets
13-17-5, 31pts

Statistiques d’équipe
W1	Séquence	OTL1
8-8-1	Fiche domicile	6-7-3
8-6-2	Fiche visiteur	7-10-2
4-5-1	10 derniers matchs	5-3-2
3.03	Buts par match	2.80
3.00	Buts contre par match	3.09
15.63%	Pourcentage en avantage numérique	19.01%
85.71%	Pourcentage en désavantage numérique	81.82%

Senators
16-14-3, 35pts

2024-12-29

Wild
25-8-1, 51pts

Statistiques d’équipe
W1	Séquence	W7
8-8-1	Fiche domicile	15-1-0
8-6-2	Fiche visiteur	10-7-1
4-5-1	10 derniers matchs	9-1-0
3.03	Buts par match	3.62
3.00	Buts contre par match	2.41
15.63%	Pourcentage en avantage numérique	19.81%
85.71%	Pourcentage en désavantage numérique	81.67%

Meneurs d'équipe
	Buts Tage Thompson 14	Passes Mika Zibanejad 24

	Points Mika Zibanejad 36	Plus/Moins Logan O'Connor 9

	Victoires Tristan Jarry 12	Pourcentage d’arrêts Joey Daccord 0.92

Statistiques d’équipe
Buts pour 100 3.03 GFG	Tirs pour 935 28.33 Avg	Pourcentage en avantage numérique 15.6% 15 GF	Début de zone offensive 39.9%
Buts contre 99 3.00 GAA	Tirs contre 920 27.88 Avg	Pourcentage en désavantage numérique 85.7% 15 GA	Début de la zone défensive 41.2%

Information d’équipe
	Directeur général	Alexandre Roberge
	Entraîneur	Paul Maurice
	Division	Division Atlantique
	Conférence	Eastern Conference
	Capitaine	Tage Thompson
	Assistant #1	Mathew Dumba
	Assistant #2	Michael Bunting
Informations de l’aréna
	Nom	Canadian Tire Centre
	Capacité	18,000
	Assistance	17,491
	Billets de saison	1,800
Information formation
	Équipe Pro	21
	Équipe Mineure	26
	Limite contact	47 / 80
	Espoirs	24
Plafond salarial
	Cap Salarial de la Saison estimé	69,186,000$
	Plafond salarial disponible	18,814,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	36,097,912$
	Dépenses annuelles à ce jour	29,144,101$
	Revenus de la saison estimés	50,961,758$
	Dépenses de la saison estimées	43,687,566$
	Compte bancaire actuel	47,055,184$
	Compte bancaire projeté	51,999,872$
Historique d'équipe
	Saison actuelle	16-14-3 (35PTS)
	Historique	935-770-209 (0.489%)
	Apparitions séries éliminatoires	14
	Historique séries éliminatoires (W-L)	67-72
	Stanley Cup	0

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Mika Zibanejad	0	X				99.00	67	36	91	78	81	92	90	80	79	83	81	85	78	83	75	0	75	76	0	31	1	8,524,000$
2	Tage Thompson (C)	0	X		X		99.00	69	46	83	81	96	89	88	83	75	80	87	68	84	69	75	0	75	75	0	26	4	8,148,000$
3	Dylan Strome	0	X	X	X		99.00	57	37	91	77	83	88	90	78	81	80	76	65	78	70	71	0	75	71	0	27	1	4,300,000$
4	Jack Roslovic	0	X		X		99.00	63	35	94	74	77	87	86	73	75	77	65	75	68	70	72	0	75	70	0	27	3	4,800,000$
5	Michael Bunting (A)	0		X	X		99.00	68	65	71	74	73	86	90	75	56	76	73	64	72	70	73	0	75	69	0	29	1	1,500,000$
6	Jake Neighbours	0		X			100.00	72	42	90	74	76	84	87	72	61	62	73	65	74	63	69	0	75	68	0	22	2	950,000$
7	Tyson Foerster	0	X		X		100.00	74	41	79	70	83	88	89	73	64	66	71	65	72	62	64	0	75	68	0	22	2	950,000$
8	Logan O'Connor	0		X	X		99.00	72	43	84	73	69	85	86	67	58	68	65	87	66	69	70	0	75	68	0	28	4	2,951,000$
9	Sonny Milano	0		X	X		100.00	64	37	92	74	73	81	82	72	56	68	70	62	76	70	71	0	75	68	0	28	2	2,400,000$
10	Victor Olofsson	0		X	X		100.00	60	34	95	73	69	82	84	72	52	64	74	62	73	71	72	0	75	68	0	29	4	5,128,000$
11	Steven Lorentz	0	X	X	X		100.00	76	38	93	66	90	77	82	63	78	60	61	75	62	69	71	0	75	66	0	28	2	1,578,000$
12	Jack Drury (R)	0	X				100.00	60	42	86	65	67	84	88	63	85	67	61	66	63	65	68	0	75	64	0	24	1	950,000$
13	J.J. Moser	0				X	99.00	71	40	86	68	72	91	90	66	30	76	63	86	54	65	67	0	75	68	0	24	1	950,000$
14	Mikey Anderson	0				X	99.00	77	35	88	67	73	92	89	64	30	73	58	87	51	66	70	0	75	68	0	25	4	5,320,000$
15	Henri Jokiharju	0				X	100.00	71	35	87	69	74	90	85	66	30	73	58	76	52	67	66	0	75	67	0	25	2	3,900,000$
16	Calle Rosen	0				X	100.00	65	37	94	67	75	85	83	65	30	71	68	64	55	70	72	0	75	67	0	30	3	925,000$
17	Arber Xhekaj (R)	0				X	99.00	86	88	56	65	94	83	81	64	30	70	63	62	52	64	66	0	75	66	0	23	2	950,000$
18	Dylan Samberg	0				X	100.00	72	45	85	65	90	86	87	63	30	71	54	85	50	65	67	0	75	66	0	25	3	1,313,000$
Rayé
1	Mathew Dumba (A)	0				X	96.98	78	59	71	68	72	91	89	67	30	69	59	80	52	77	71	0	75	67	0	30	2	5,800,000$
Équipe Mineure
1	Jonatan Berggren (R)	0		X	X		100.00	62	39	83	70	72	87	86	69	70	67	68	63	70	64	68	0	75	66	0	24	1	950,000$
2	Tye Kartye	0		X			100.00	75	40	76	67	73	84	88	66	67	62	64	61	65	63	66	0	75	64	0	23	2	950,000$
3	Ben Meyers (R)	0	X				100.00	64	36	93	63	71	82	83	62	79	64	61	60	62	67	68	0	75	63	0	25	2	950,000$
4	Sammy Walker (R)	0	X		X		100.00	57	36	89	64	68	85	86	63	67	61	62	60	63	65	67	0	75	63	0	25	2	950,000$
5	Tyler Angle (R)	0	X				100.00	66	36	86	66	64	75	80	62	63	58	65	59	62	65	66	0	75	63	0	24	3	925,000$
6	Marc McLaughlin (R)	0	X				100.00	69	37	84	64	74	76	86	59	65	58	63	62	59	66	67	0	75	63	0	25	1	950,000$
7	Brennan Othmann (R)	0		X			100.00	68	39	72	64	72	89	72	62	58	61	59	63	60	64	65	0	75	62	0	21	3	950,000$
8	Mackie Samoskevich (R)	0			X		100.00	62	36	89	66	69	89	72	64	67	65	58	59	66	63	64	0	75	62	0	21	3	950,000$
9	Waltteri Merela (R)	0	X				100.00	74	39	92	58	85	78	73	57	66	58	59	62	57	66	68	0	75	62	0	26	3	950,000$
10	Hunter McKown (R)	0	X				100.00	68	38	83	62	78	81	71	57	66	61	55	58	56	62	64	0	75	61	0	22	2	950,000$
11	Josh Dunne (R)	0	X				100.00	78	42	71	58	89	81	78	57	65	55	56	61	54	66	68	0	75	61	0	25	3	925,000$
12	Sasha Pastujov (R)	0			X		100.00	63	37	90	62	72	79	67	58	61	59	60	56	62	61	63	0	75	61	0	21	3	950,000$
13	Simon Edvinsson (R)	0				X	100.00	81	43	73	66	94	85	84	64	30	61	63	65	52	61	63	0	75	65	0	21	2	950,000$
14	Filip Roos (R)	0				X	100.00	73	39	89	64	84	81	82	63	30	62	59	61	50	65	67	0	75	64	0	25	2	950,000$
15	Nick Blankenburg (R)	0				X	100.00	67	38	82	66	65	86	73	64	30	67	63	66	52	65	68	0	75	64	0	26	2	950,000$
16	Victor Soderstrom (R)	0				X	100.00	62	37	81	65	69	85	86	63	30	66	58	61	50	63	65	0	75	63	0	23	3	750,000$
17	Cole McWard (R)	0				X	100.00	66	37	92	62	76	79	71	61	30	58	65	59	61	63	65	0	75	62	0	23	3	950,000$
18	Santeri Hatakka (R)	0				X	100.00	67	38	82	63	76	81	72	58	30	64	55	66	48	63	65	0	75	62	0	23	3	950,000$
19	Wyatt Kalynuk (R)	0				X	100.00	64	42	68	59	73	65	84	58	30	57	54	56	46	67	69	0	75	60	0	27	3	925,000$
20	Carter Savoie (R)	0		X			100.00	59	37	88	58	68	75	80	56	53	57	57	54	58	62	64	0	75	59	0	22	2	950,000$
21	Alexis Gendron (R)	0			X		100.00	55	38	76	58	64	81	62	57	54	53	61	52	59	61	63	0	75	58	0	20	3	950,000$
22	Daylan Kuefler (R)	0		X			100.00	70	51	60	54	79	77	63	55	59	56	57	58	54	62	64	0	75	58	0	22	3	950,000$
23	Lian Bichsel (R)	0				X	100.00	70	35	53	60	99	66	62	59	30	62	53	64	47	60	62	0	75	60	0	20	3	950,000$

	MOYENNE D’ÉQUIPE					99.37	70	44	85	71	78	86	87	70	54	71	67	73	65	69	70	0	75	68

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Tristan Jarry	100.00	92	89	84	79	91	90	92	91	90	92	91	74	83	0	75	75	0	29	3	6,625,000$
2	Joey Daccord	98.00	87	88	83	81	86	85	87	86	85	87	86	68	81	0	75	72	0	28	3	1,224,000$
Rayé
Équipe Mineure
1	Clay Stevenson (R)	100.00	79	77	73	85	78	77	79	78	77	79	78	65	73	0	75	67	0	25	2	950,000$
2	Jet Greaves	100.00	77	89	85	71	76	75	77	76	75	77	76	63	69	0	75	66	0	23	1	725,000$
3	Jaxson Stauber (R)	100.00	75	80	76	78	74	73	75	74	73	75	74	65	73	0	75	65	0	25	2	950,000$

	MOYENNE D’ÉQUIPE	99.00	90	89	84	80	89	88	90	89	88	90	89	71	82	0	75	74

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Paul Maurice	89	90	92	80	85	79	62	CAN	57	2	4,000,000$

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	P/20	PSG	PSS	FT	S1	S2	S3
1	Mika Zibanejad	Senators	C	33	12	24	36	2	6	0	67	90	141	44	94	8.51%	13	743	22.52	2	8	10	22	83	0	0	0	5	68	1	1	54.81%	967	0.97	0	3	0	2	4	1
2	Tage Thompson	Senators	C/RW	33	14	16	30	7	18	0	56	76	123	20	83	11.38%	2	664	20.12	4	6	10	24	80	0	0	0	1	27	3	1	53.63%	496	0.90	0	3	0	4	3	0
3	Dylan Strome	Senators	C/LW/RW	33	9	19	28	4	12	0	31	42	86	23	68	10.47%	0	664	20.14	3	2	5	16	82	0	0	0	0	10	0	0	38.55%	83	0.84	0	3	0	2	2	2
4	J.J. Moser	Senators	D	33	7	13	20	-1	14	0	53	49	46	11	30	15.22%	39	789	23.93	4	3	7	20	88	0	1	1	1	49	2	0	0.00%	0	0.51	0	0	0	0	2	1
5	Jack Roslovic	Senators	C/RW	33	11	9	20	5	4	0	22	55	76	17	56	14.47%	4	676	20.50	0	0	0	11	77	0	0	0	0	48	2	0	48.03%	279	0.59	0	1	0	1	1	0
6	Logan O'Connor	Senators	LW/RW	33	11	7	18	9	16	0	49	49	79	16	46	13.92%	15	622	18.85	0	0	0	5	28	1	0	1	1	84	2	0	45.00%	40	0.58	0	0	0	1	1	2
7	Mikey Anderson	Senators	D	33	2	14	16	-2	28	0	73	52	34	14	36	5.88%	48	813	24.64	1	5	6	16	87	0	0	0	0	88	0	0	0.00%	0	0.39	0	0	0	1	0	2
8	Henri Jokiharju	Senators	D	33	3	12	15	1	10	0	26	26	20	8	10	15.00%	22	564	17.11	0	0	0	0	5	0	0	0	0	2	1	0	0.00%	0	0.53	0	0	0	0	1	1
9	Tyson Foerster	Senators	C/RW	33	7	7	14	-10	24	0	51	49	56	20	48	12.50%	4	404	12.27	0	0	0	0	0	0	0	0	0	27	2	0	44.73%	427	0.69	0	0	0	1	0	2
10	Michael Bunting	Senators	LW/RW	33	7	7	14	7	14	0	72	28	57	22	49	12.28%	4	588	17.84	1	0	1	12	79	0	0	0	0	0	1	0	40.00%	45	0.48	1	1	0	1	1	2
11	Calle Rosen	Senators	D	33	1	11	12	1	2	0	20	20	21	7	11	4.76%	40	613	18.59	0	0	0	13	75	0	0	0	0	91	0	0	0.00%	0	0.39	0	0	0	0	0	1
12	Jake Neighbours	Senators	LW	33	6	4	10	-9	4	0	26	26	52	14	40	11.54%	1	396	12.03	0	0	0	0	3	0	0	0	1	13	1	2	50.00%	14	0.50	0	0	0	0	1	0
13	Dylan Samberg	Senators	D	33	0	10	10	-1	22	0	53	41	13	5	9	0.00%	44	510	15.48	0	2	2	0	12	0	0	0	0	80	0	0	0.00%	0	0.39	0	0	0	0	0	0
14	Mathew Dumba	Senators	D	30	0	9	9	1	36	0	69	24	28	14	17	0.00%	35	594	19.82	0	0	0	11	62	0	0	0	0	56	0	0	0.00%	0	0.30	0	0	0	0	0	1
15	Sonny Milano	Senators	LW/RW	33	3	4	7	-9	4	0	11	22	45	15	49	6.67%	2	375	11.38	0	0	0	0	0	0	0	0	0	0	0	0	63.16%	19	0.37	0	0	0	0	0	0
16	Victor Olofsson	Senators	LW/RW	33	4	1	5	-1	4	0	14	14	23	7	13	17.39%	2	212	6.45	0	0	0	6	50	0	0	0	0	0	0	1	40.00%	15	0.47	0	0	0	0	1	0
17	Steven Lorentz	Senators	C/LW/RW	33	1	3	4	1	6	0	21	25	23	4	20	4.35%	4	255	7.73	0	0	0	0	0	0	0	0	0	91	0	0	53.98%	176	0.31	0	0	0	0	0	0
18	Jack Drury	Senators	C	31	1	1	2	-1	0	0	6	24	11	3	9	9.09%	0	168	5.42	0	0	0	0	8	0	0	0	0	0	0	0	47.18%	195	0.24	0	0	0	0	0	0
19	Arber Xhekaj	Senators	D	5	0	1	1	4	11	5	22	1	1	0	0	0.00%	3	93	18.65	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	0.21	0	0	1	0	0	0
Statistiques d’équipe totales ou en moyenne				594	99	172	271	8	235	5	742	713	935	264	688	10.59%	282	9751	16.42	15	26	41	156	826	1	1	2	9	744	15	5	50.83%	2756	0.56	1	11	1	13	17	15

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	PS %	PSA	ST	BG	S1	S2
1	Tristan Jarry	Senators	23	12	10	1	0.882	3.24	1350	2	73	621	1.000	5	23	10	2	1
2	Joey Daccord	Senators	12	4	4	2	0.920	2.23	645	1	24	299	0.600	5	10	23	1	0
Statistiques d’équipe totales ou en moyenne			35	16	14	3	0.895	2.92	1996	3	97	920	0.800	10	33	33	3	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Arber Xhekaj	Senators	D	23	2001-01-30	Yes	240 Lbs	6 ft4	No	No	No	2	Pro & Farm	950,000$	567,092$	950,000$	567,092$	950,000$	567,092$	No	950,000$			Lien / Lien NHL
Calle Rosen	Senators	D	30	1994-02-02	No	188 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	925,000$	552,168$	925,000$	552,168$	925,000$	552,168$	No	925,000$	925,000$		Lien / Lien NHL
Dylan Samberg (contrat à 1 volet)	Senators	D	25	1999-01-24	No	216 Lbs	6 ft4	No	No	Yes	3	Pro & Farm	1,313,000$	783,781$	1,313,000$	783,781$	1,313,000$	783,781$	No	1,313,000$	1,313,000$		Lien / Lien NHL
Dylan Strome (contrat à 1 volet)	Senators	C/LW/RW	27	1997-03-07	No	200 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	4,300,000$	2,566,837$	4,300,000$	2,566,837$	4,300,000$	2,566,837$	No				Lien / Lien NHL
Henri Jokiharju (contrat à 1 volet)	Senators	D	25	1999-06-17	No	200 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	3,900,000$	2,328,061$	3,900,000$	2,328,061$	3,900,000$	2,328,061$	No	3,900,000$			Lien / Lien NHL
J.J. Moser	Senators	D	24	2000-06-06	No	173 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	950,000$	567,092$	950,000$	567,092$	950,000$	567,092$	No				Lien / Lien NHL
Jack Drury	Senators	C	24	2000-02-03	Yes	174 Lbs	5 ft11	No	No	No	1	Pro & Farm	950,000$	567,092$	950,000$	567,092$	950,000$	567,092$	No				Lien / Lien NHL
Jack Roslovic (contrat à 1 volet)	Senators	C/RW	27	1997-01-29	No	198 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	4,800,000$	2,865,306$	4,800,000$	2,865,306$	4,800,000$	2,865,306$	No	4,800,000$	4,800,000$		Lien / Lien NHL
Jake Neighbours	Senators	LW	22	2002-03-29	No	201 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	950,000$	567,092$	950,000$	567,092$	950,000$	567,092$	No	950,000$			Lien / Lien NHL
Joey Daccord (contrat à 1 volet)	Senators	G	28	1996-08-19	No	201 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	1,224,000$	730,653$	1,224,000$	730,653$	1,224,000$	730,653$	No	1,224,000$	1,224,000$		Lien / Lien NHL
Logan O'Connor (contrat à 1 volet)	Senators	LW/RW	28	1996-08-14	No	175 Lbs	6 ft0	No	No	Yes	4	Pro & Farm	2,951,000$	1,761,566$	2,951,000$	1,761,566$	2,951,000$	1,761,566$	No	2,951,000$	2,951,000$	2,951,000$	Lien / Lien NHL
Mathew Dumba (contrat à 1 volet)	Senators	D	30	1994-07-25	No	181 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	5,800,000$	3,462,245$	5,800,000$	3,462,245$	5,800,000$	3,462,245$	No	5,800,000$			Lien / Lien NHL
Michael Bunting (contrat à 1 volet)	Senators	LW/RW	29	1995-09-17	No	192 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	1,500,000$	895,408$	1,500,000$	895,408$	1,500,000$	895,408$	No				Lien / Lien NHL
Mika Zibanejad (contrat à 1 volet)	Senators	C	31	1993-04-18	No	201 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	8,524,000$	5,088,306$	8,524,000$	5,088,306$	8,524,000$	5,088,306$	No				Lien / Lien NHL
Mikey Anderson (contrat à 1 volet)	Senators	D	25	1999-05-25	No	195 Lbs	6 ft0	No	No	Yes	4	Pro & Farm	5,320,000$	3,175,714$	5,320,000$	3,175,714$	5,320,000$	3,175,714$	No	5,320,000$	5,320,000$	5,320,000$	Lien / Lien NHL
Sonny Milano (contrat à 1 volet)	Senators	LW/RW	28	1996-05-12	No	194 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	2,400,000$	1,432,653$	2,400,000$	1,432,653$	2,400,000$	1,432,653$	No	2,400,000$			Lien / Lien NHL
Steven Lorentz (contrat à 1 volet)	Senators	C/LW/RW	28	1996-04-13	No	216 Lbs	6 ft4	No	No	Yes	2	Pro & Farm	1,578,000$	941,969$	1,578,000$	941,969$	1,578,000$	941,969$	No	1,578,000$			Lien / Lien NHL
Tage Thompson (contrat à 1 volet)	Senators	C/RW	26	1997-10-30	No	220 Lbs	6 ft6	No	No	Yes	4	Pro & Farm	8,148,000$	4,863,857$	8,148,000$	4,863,857$	8,148,000$	4,863,857$	No	8,148,000$	8,148,000$	8,148,000$	Lien / Lien NHL
Tristan Jarry (contrat à 1 volet)	Senators	G	29	1995-04-29	No	194 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	6,625,000$	3,954,719$	6,625,000$	3,954,719$	6,625,000$	3,954,719$	No	6,625,000$	6,625,000$		Lien / Lien NHL
Tyson Foerster	Senators	C/RW	22	2002-01-18	No	215 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	950,000$	567,092$	950,000$	567,092$	950,000$	567,092$	No	950,000$			Lien / Lien NHL
Victor Olofsson (contrat à 1 volet)	Senators	LW/RW	29	1995-07-18	No	182 Lbs	5 ft11	No	No	Yes	4	Pro & Farm	5,128,000$	3,061,102$	5,128,000$	3,061,102$	5,128,000$	3,061,102$	No	5,128,000$	5,128,000$	5,128,000$	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	26.67	198 Lbs	6 ft1	2.38	3,294,571$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
69,186,000$	52,962,000$	36,434,000$	21,547,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Strome	Zibanejad	Roslovic	38	1	3	1
2	Bunting	Thompson	O'Connor	35	1	3	1
3	Neighbours	Foerster	Milano	20	1	2	2
4	Olofsson	Drury	Lorentz	7	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Moser	Anderson	38	1	3	1
2	Xhekaj	Jokiharju	35	1	3	1
3	Rosen	Samberg	20	1	2	2
4	Moser	Anderson	7	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Strome	Zibanejad	Thompson	60	1	2	2
2	Bunting	Roslovic	Olofsson	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Moser	Anderson	60	1	2	2
2	Rosen	Samberg	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Lorentz	O'Connor	60	1	2	2
2	Zibanejad	Roslovic	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Samberg	Anderson	60	1	2	2
2	Rosen	Moser	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	O'Connor	60	1	2	2	Samberg	Anderson	60	1	2	2
2	Lorentz	40	1	2	2	Rosen	Moser	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Zibanejad	Thompson	60	1	2	2
2	Strome	Roslovic	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Moser	Anderson	60	1	2	2
2	Rosen	Samberg	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Strome	Zibanejad	Thompson	Moser	Jokiharju

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Lorentz	Roslovic	O'Connor	Samberg	Xhekaj

Attaquants supplémentaires
Normal			Avantage numérique		Désavantage numérique
Drury	Neighbours	Foerster	Drury	Neighbours	Foerster

Défenseurs supplémentaires
Normal			Avantage numérique	Désavantage numérique
Jokiharju	Samberg	Rosen	Jokiharju	Samberg	Rosen

Tirs de pénalité
Zibanejad	Thompson	Strome	Roslovic	Bunting

Gardien
#1 : Daccord	#2 : Jarry

Lignes d’attaque personnalisées en prolongation
Zibanejad	Thompson	Strome	Roslovic	Bunting
O'Connor	Neighbours	Foerster	Milano	Olofsson

Lignes de défense personnalisées en prolongation
Moser	Anderson	Rosen	Samberg	Jokiharju

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Avalanche	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	2	0	1	0	34	14	14	6	0	21	10	6	20	4	0	0.00%	3	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	25	18	23	7	11	5
2	Blues	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	4	6	0	0	0	1	1	0	29	7	9	10	6	33	3	10	22	3	0	0.00%	5	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	27	18	24	7	13	5
3	Bruins	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	9	14	0	0	3	2	0	0	25	10	6	9	0	27	11	8	20	0	0	0.00%	4	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	19	12	28	7	12	6
4	Canadiens	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	2	1	0	0	24	6	10	8	0	21	9	4	26	3	0	0.00%	2	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	23	15	22	6	13	7
5	Canucks	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	12	19	0	1	2	1	4	0	41	14	12	15	0	57	11	4	53	6	2	33.33%	2	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	44	30	48	15	26	12
6	Devils	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	3	0	0	0	44	15	17	12	0	25	10	4	24	7	1	14.29%	2	1	50.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	26	18	20	6	12	7
7	Ducks	2	0	0	0	1	1	0	0	8	8	0	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	8	12	20	0	0	2	4	1	1	51	12	17	19	3	68	17	17	51	4	1	25.00%	6	0	100.00%	1	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	43	30	52	15	26	12
8	Flames	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	2	0	2	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	5	8	13	0	1	2	2	1	0	55	16	21	18	0	36	18	12	55	8	1	12.50%	6	2	66.67%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	51	33	42	14	26	13
9	Flyers	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	0	0	0	0	3	0	17	4	2	11	0	27	13	14	16	1	1	100.00%	7	2	71.43%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	22	14	25	7	12	6
10	Golden Knights	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	6	10	16	0	0	1	3	2	0	59	14	18	27	0	55	23	18	43	4	1	25.00%	8	3	62.50%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	46	33	47	13	25	12
11	Hockey Club	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	0	1	2	0	38	13	13	12	0	38	8	6	28	3	0	0.00%	3	1	66.67%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	22	15	24	7	12	6
12	Hurricanes	2	1	1	0	0	0	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	7	7	0	2	0.500	7	13	20	0	0	3	2	2	0	60	22	17	21	0	57	9	18	59	2	0	0.00%	6	1	83.33%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	47	33	46	14	25	12
13	Islanders	2	0	2	0	0	0	0	0	2	7	-5	2	0	2	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	1	1	0	46	11	18	17	0	52	16	6	42	5	0	0.00%	3	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	48	33	44	14	27	14
14	Kings	2	1	1	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	8	15	23	0	0	2	2	4	0	58	15	23	20	0	39	23	12	33	11	1	9.09%	5	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	50	34	42	14	26	13
15	Kraken	2	0	2	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	1	0	1	0	56	17	16	23	0	54	24	8	46	8	1	12.50%	3	1	66.67%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	44	28	49	14	26	13
16	Lightning	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	21	6	8	7	0	30	5	8	23	3	0	0.00%	4	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	22	14	25	8	12	6
17	Maple Leafs	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	0	4	2	1.000	4	7	11	0	1	1	2	1	0	36	11	16	9	0	39	11	10	24	4	1	25.00%	5	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	23	16	25	8	11	5
18	Oilers	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	2	1	0	0	17	7	5	5	0	39	11	12	19	0	0	0.00%	5	1	80.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	19	12	28	7	11	5
19	Panthers	1	0	0	0	1	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	0	1	2	1	40	17	10	8	5	27	6	8	19	2	0	0.00%	3	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	28	19	19	7	13	7
20	Penguins	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	1	2	2	0	28	8	13	7	0	31	12	8	29	3	1	33.33%	4	1	75.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	20	13	26	8	13	6
21	Predators	1	0	0	0	0	0	1	0	5	4	1	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	1	3	0	1	23	3	11	5	9	33	10	12	22	1	0	0.00%	5	1	80.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	25	17	25	8	13	6
22	Rangers	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	0	2	0	0	45	11	18	13	6	25	3	6	16	3	1	33.33%	3	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	28	21	23	6	12	6
23	Red Wings	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	1	0	0	26	10	6	10	0	26	10	8	19	4	1	25.00%	4	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	24	17	24	7	11	5
24	Sabres	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	0	3	1	0	22	8	8	6	0	33	7	12	17	3	1	33.33%	6	1	83.33%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	19	11	27	8	13	6
25	Sharks	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	2	1	1	0	40	16	7	17	0	27	2	4	16	4	1	25.00%	1	0	100.00%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	24	17	22	7	12	6
	Total	33	13	14	0	2	1	1	2	100	99	1	17	5	8	0	2	0	1	1	49	49	0	16	8	6	0	0	1	0	1	51	50	1	35	0.530	100	172	272	0	3	30	37	30	3	935	287	315	315	29	920	282	235	742	96	15	15.63%	105	15	85.71%	1	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	779	534	794	245	425	210
	_Since Last GM Reset	33	13	14	0	2	1	1	2	100	99	1	17	5	8	0	2	0	1	1	49	49	0	16	8	6	0	0	1	0	1	51	50	1	35	0.530	100	172	272	0	3	30	37	30	3	935	287	315	315	29	920	282	235	742	96	15	15.63%	105	15	85.71%	1	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	779	534	794	245	425	210
	_Vs Conference	15	6	7	0	1	0	0	1	44	45	-1	8	1	6	0	1	0	0	0	19	28	-9	7	5	1	0	0	0	0	1	25	17	8	15	0.500	44	78	122	0	1	13	18	12	1	434	139	149	138	11	420	122	114	334	40	7	17.50%	53	6	88.68%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	352	242	361	111	192	96
	_Vs Division	7	4	2	0	1	0	0	0	22	17	5	3	0	2	0	1	0	0	0	6	10	-4	4	4	0	0	0	0	0	0	16	7	9	10	0.714	22	38	60	0	1	6	11	4	1	194	68	64	57	5	203	59	58	148	19	3	15.79%	28	1	96.43%	0	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	159	108	173	53	88	43

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
33	35	W1	100	172	272	935	920	282	235	742	0	3

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
33	13	14	2	1	1	2	100	99

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	5	8	2	0	1	1	49	49

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	8	6	0	1	0	1	51	50

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	5	0	1	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
96	15	15.63%	105	15	85.71%	1

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
287	315	315	29	30	37	30	3

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
540	1091	49.50%	588	1124	52.31%	273	516	52.91%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
779	534	794	245	425	210

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
7 - 2024-10-10	13	Panthers	3	Senators	4	BW	X		Sommaire du match
9 - 2024-10-12	27	Senators	3	Canadiens	2	AW			Sommaire du match
11 - 2024-10-14	43	Kings	1	Senators	6	BW			Sommaire du match
14 - 2024-10-17	62	Devils	4	Senators	3	BL			Sommaire du match
16 - 2024-10-19	75	Lightning	5	Senators	1	BL			Sommaire du match
19 - 2024-10-22	104	Senators	3	Hockey Club	2	AW			Sommaire du match
22 - 2024-10-25	118	Senators	2	Golden Knights	5	AL			Sommaire du match
24 - 2024-10-27	139	Senators	3	Avalanche	4	AL			Sommaire du match
26 - 2024-10-29	150	Blues	3	Senators	2	BL	X	X	Sommaire du match
29 - 2024-11-01	170	Senators	2	Rangers	3	AL	X	X	Sommaire du match
30 - 2024-11-02	178	Kraken	1	Senators	0	BL			Sommaire du match
33 - 2024-11-05	194	Senators	4	Sabres	3	AW			Sommaire du match
35 - 2024-11-07	209	Islanders	2	Senators	1	BL			Sommaire du match
37 - 2024-11-09	226	Senators	5	Bruins	2	AW			Sommaire du match
40 - 2024-11-12	245	Senators	4	Maple Leafs	0	AW			Sommaire du match
42 - 2024-11-14	258	Flyers	4	Senators	3	BL			Sommaire du match
44 - 2024-11-16	280	Senators	5	Hurricanes	3	AW			Sommaire du match
47 - 2024-11-19	294	Oilers	5	Senators	3	BL			Sommaire du match
49 - 2024-11-21	307	Golden Knights	3	Senators	4	BW			Sommaire du match
51 - 2024-11-23	323	Canucks	0	Senators	3	BW			Sommaire du match
53 - 2024-11-25	340	Flames	0	Senators	2	BW			Sommaire du match
55 - 2024-11-27	361	Senators	4	Sharks	3	AW			Sommaire du match
58 - 2024-11-30	382	Senators	2	Kings	4	AL			Sommaire du match
59 - 2024-12-01	392	Senators	3	Ducks	4	AL	X		Sommaire du match
63 - 2024-12-05	412	Red Wings	2	Senators	1	BL			Sommaire du match
65 - 2024-12-07	431	Predators	4	Senators	5	BW	X	X	Sommaire du match
66 - 2024-12-08	438	Islanders	5	Senators	1	BL			Sommaire du match
69 - 2024-12-11	458	Ducks	4	Senators	5	BW	X		Sommaire du match
71 - 2024-12-13	473	Senators	2	Hurricanes	4	AL			Sommaire du match
72 - 2024-12-14	478	Penguins	3	Senators	5	BW			Sommaire du match
75 - 2024-12-17	505	Senators	2	Kraken	3	AL			Sommaire du match
77 - 2024-12-19	517	Senators	3	Flames	6	AL			Sommaire du match
79 - 2024-12-21	537	Senators	4	Canucks	2	AW			Sommaire du match
80 - 2024-12-22	544	Senators	-	Oilers	-
86 - 2024-12-28	574	Senators	-	Jets	-
87 - 2024-12-29	583	Senators	-	Wild	-
91 - 2025-01-02	608	Senators	-	Stars	-
92 - 2025-01-03	617	Senators	-	Blues	-
96 - 2025-01-07	642	Senators	-	Red Wings	-
98 - 2025-01-09	654	Sabres	-	Senators	-
100 - 2025-01-11	671	Senators	-	Penguins	-
101 - 2025-01-12	685	Stars	-	Senators	-
103 - 2025-01-14	699	Senators	-	Islanders	-
105 - 2025-01-16	708	Capitals	-	Senators	-
107 - 2025-01-18	723	Bruins	-	Senators	-
108 - 2025-01-19	737	Senators	-	Devils	-
110 - 2025-01-21	750	Senators	-	Rangers	-
112 - 2025-01-23	761	Senators	-	Bruins	-
114 - 2025-01-25	780	Maple Leafs	-	Senators	-
115 - 2025-01-26	790	Hockey Club	-	Senators	-
119 - 2025-01-30	814	Capitals	-	Senators	-
121 - 2025-02-01	828	Wild	-	Senators	-
123 - 2025-02-03	844	Senators	-	Predators	-
124 - 2025-02-04	847	Senators	-	Lightning	-
126 - 2025-02-06	862	Senators	-	Lightning	-
128 - 2025-02-08	880	Senators	-	Panthers	-
142 - 2025-02-22	901	Canadiens	-	Senators	-
146 - 2025-02-26	930	Jets	-	Senators	-
149 - 2025-03-01	954	Sharks	-	Senators	-
151 - 2025-03-03	967	Senators	-	Capitals	-
153 - 2025-03-05	984	Senators	-	Blackhawks	-
156 - 2025-03-08	1003	Rangers	-	Senators	-
158 - 2025-03-10	1022	Red Wings	-	Senators	-
159 - 2025-03-11	1027	Senators	-	Flyers	-
161 - 2025-03-13	1041	Bruins	-	Senators	-
163 - 2025-03-15	1059	Senators	-	Maple Leafs	-
166 - 2025-03-18	1078	Senators	-	Canadiens	-
168 - 2025-03-20	1089	Avalanche	-	Senators	-
170 - 2025-03-22	1113	Senators	-	Devils	-
173 - 2025-03-25	1129	Senators	-	Sabres	-
175 - 2025-03-27	1144	Senators	-	Red Wings	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-29	1164	Blue Jackets	-	Senators	-
178 - 2025-03-30	1174	Senators	-	Penguins	-
180 - 2025-04-01	1184	Sabres	-	Senators	-
182 - 2025-04-03	1198	Lightning	-	Senators	-
184 - 2025-04-05	1210	Panthers	-	Senators	-
185 - 2025-04-06	1224	Blue Jackets	-	Senators	-
187 - 2025-04-08	1239	Senators	-	Blue Jackets	-
190 - 2025-04-11	1260	Canadiens	-	Senators	-
192 - 2025-04-13	1276	Flyers	-	Senators	-
194 - 2025-04-15	1293	Blackhawks	-	Senators	-
196 - 2025-04-17	1309	Hurricanes	-	Senators	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	5750	4750	3750	2750	1000
Prix des billets	120	80	60	25	150
Assistance	93,240	78,295	62,066	46,750	17,000
Attendance PCT	95.39%	96.96%	97.36%	100.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
24	17491 - 97.17%	2,123,407$	36,097,912$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
29,144,101$	69,186,000$	69,186,000$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
69,186,000$	27,443,093$	0$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
50,961,758$	117	373,398$	43,687,566$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
45,579,807$	47,055,184$	51,999,872$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
69,186,000$	18,814,000$	88,000,000$	4,186,000$

Retained Salary
Player	2024-2025	2025-2026	2026-2027	2027-2028	2028-2029
Evgeni Malkin	3,500,000$	3,500,000$
Total	3,500,000$	3,500,000$	0$	0$	0$

Retained Buyout
Player	2024-2025	2025-2026	2026-2027	2027-2028	2028-2029
Total	0$	0$	0$	0$	0$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Dylan Strome	AGE:27	PO:0	OV:71
Michael Bunting	AGE:29	PO:0	OV:69
Jake Neighbours	AGE:22	PO:0	OV:68
Logan O'Connor	AGE:28	PO:0	OV:68
Sonny Milano	AGE:28	PO:0	OV:68
Victor Olofsson	AGE:29	PO:0	OV:68
Steven Lorentz	AGE:28	PO:0	OV:66
Jonatan Berggren (R)	AGE:24	PO:0	OV:66
Tye Kartye	AGE:23	PO:0	OV:64
Brennan Othmann (R)	AGE:21	PO:0	OV:62
Carter Savoie (R)	AGE:22	PO:0	OV:59
Daylan Kuefler (R)	AGE:22	PO:0	OV:58

Mika Zibanejad	AGE:31	PO:0	OV:76
Tage Thompson	AGE:26	PO:0	OV:75
Dylan Strome	AGE:27	PO:0	OV:71
Jack Roslovic	AGE:27	PO:0	OV:70
Tyson Foerster	AGE:22	PO:0	OV:68
Steven Lorentz	AGE:28	PO:0	OV:66
Jack Drury (R)	AGE:24	PO:0	OV:64
Ben Meyers (R)	AGE:25	PO:0	OV:63
Sammy Walker (R)	AGE:25	PO:0	OV:63
Tyler Angle (R)	AGE:24	PO:0	OV:63
Marc McLaughlin (R)	AGE:25	PO:0	OV:63
Waltteri Merela (R)	AGE:26	PO:0	OV:62
Hunter McKown (R)	AGE:22	PO:0	OV:61
Josh Dunne (R)	AGE:25	PO:0	OV:61

Tage Thompson	AGE:26	PO:0	OV:75
Dylan Strome	AGE:27	PO:0	OV:71
Jack Roslovic	AGE:27	PO:0	OV:70
Michael Bunting	AGE:29	PO:0	OV:69
Tyson Foerster	AGE:22	PO:0	OV:68
Logan O'Connor	AGE:28	PO:0	OV:68
Sonny Milano	AGE:28	PO:0	OV:68
Victor Olofsson	AGE:29	PO:0	OV:68
Steven Lorentz	AGE:28	PO:0	OV:66
Jonatan Berggren (R)	AGE:24	PO:0	OV:66
Sammy Walker (R)	AGE:25	PO:0	OV:63
Mackie Samoskevich (R)	AGE:21	PO:0	OV:62
Sasha Pastujov (R)	AGE:21	PO:0	OV:61
Alexis Gendron (R)	AGE:20	PO:0	OV:58

Défense #1

Défense #2

Gardien

J.J. Moser	AGE:24	PO:0	OV:68
Mikey Anderson	AGE:25	PO:0	OV:68
Henri Jokiharju	AGE:25	PO:0	OV:67
Mathew Dumba	AGE:30	PO:0	OV:67
Calle Rosen	AGE:30	PO:0	OV:67
Arber Xhekaj (R)	AGE:23	PO:0	OV:66
Dylan Samberg	AGE:25	PO:0	OV:66
Simon Edvinsson (R)	AGE:21	PO:0	OV:65

Filip Roos (R)	AGE:25	PO:0	OV:64
Nick Blankenburg (R)	AGE:26	PO:0	OV:64
Victor Soderstrom (R)	AGE:23	PO:0	OV:63
Cole McWard (R)	AGE:23	PO:0	OV:62
Santeri Hatakka (R)	AGE:23	PO:0	OV:62
Lian Bichsel (R)	AGE:20	PO:0	OV:60
Wyatt Kalynuk (R)	AGE:27	PO:0	OV:60

Tristan Jarry	AGE:29	PO:0	OV:75
Joey Daccord	AGE:28	PO:0	OV:72
Clay Stevenson (R)	AGE:25	PO:0	OV:67
Jet Greaves	AGE:23	PO:0	OV:66
Jaxson Stauber (R)	AGE:25	PO:0	OV:65

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Lien
Aku Koskenvuo	Senators	23	225
Alex Chiasson	Senators			Lien
Andrew Basha	Senators	2024	21
Dalyn Wakely	Senators	2024	245
David Green	Senators	2024	117
Dean Letourneau	Senators	2024	18
Dmitri Katelevsky	Senators	23	152
Eliot L'Italien	Senators	2024	181
Gabriel Frasca	Senators	2024	125
Herman Traff	Senators	2024	116
Jani Lampinen	Senators	2023	203
Jerad Rosburg	Senators	22	221	Lien
Josh Fluker	Senators	2024	123
Lukas Fischer	Senators	2024	80
Marcus Kearsey	Senators	2024	119
Nathan Villeneuve	Senators	2024	93
Oliver Kapanen	Senators	23	65
Oliver Moore	Senators	2023	11
Oskar Vuollet	Senators	2024	138
Otto Stenberg	Senators	2023	23
Quinn Kennedy	Senators	2024	157
Sam O'Reilly	Senators	2024	53
Tarin Smith	Senators	2024	82
Yegor Graf	Senators	2024	120

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2025
2026
2027
2028
2029

[7/11/2024 3:57:28 PM] - Ryan Merkley has been deleted from Senators.
[7/11/2024 3:57:25 PM] - Rodion Amirov has been deleted from Senators.
[7/11/2024 3:57:21 PM] - William Lochead has been deleted from Senators.
[7/11/2024 3:57:17 PM] - Ville Meskanen has been deleted from Senators.
[7/11/2024 3:57:10 PM] - Richard Panik has been deleted from Senators.
[7/11/2024 3:57:03 PM] - Jon Gillies has been deleted from Senators.
[7/11/2024 3:56:58 PM] - Egor Korshkov has been deleted from Senators.
[7/11/2024 3:56:55 PM] - Danny DeKeyser has been deleted from Senators.
[7/11/2024 3:56:50 PM] - Blake Speers has been deleted from Senators.
[7/11/2024 3:56:47 PM] - Andy Greene has been deleted from Senators.

[12/21/2024 8:23:47 AM] Mathew Dumba from Senators is back from Sprained Left Finger Injury.
[12/21/2024 8:23:47 AM] Senators lines for next game are empty. Current rosters/lines are not erased. But, Senators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[12/20/2024 11:44:24 AM] Senators are expected to be under the minimum salary cap by $1,614,000!
[12/20/2024 11:42:38 AM] Successfully loaded Senators lines done with Web Base Client.
[12/19/2024 11:03:33 AM] Senators are expected to be under the minimum salary cap by $1,614,000!
[12/19/2024 11:00:44 AM] Senators lines for next game are empty. Current rosters/lines are not erased. But, Senators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[12/19/2024 11:00:44 AM] Last 7 Days Pro Star : 1 - Mika Zibanejad of Senators (2-6-8) / 2 - Joel Farabee of Hurricanes (4-3-7) / 3 - Roope Hintz of Sabres (4-0-4)
[12/19/2024 11:00:39 AM] Auto Lines Partial Function has been run for Senators.
[12/19/2024 11:00:39 AM] Auto Lines Partial Function has been run for Senators.
[12/19/2024 11:00:39 AM] Auto Roster Partial Function has been run for Senators.
[12/18/2024 11:10:24 AM] Senators are expected to be under the minimum salary cap by $1,614,000!
[12/17/2024 11:02:36 AM] Senators are expected to be under the minimum salary cap by $1,614,000!
[12/17/2024 11:02:14 AM] Senators lines for next game are empty. Current rosters/lines are not erased. But, Senators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[12/17/2024 11:02:14 AM] Game 505 - Mathew Dumba from Senators is injured (Sprained Left Finger) and is out for 1 week.
[12/16/2024 11:02:57 AM] Successfully loaded Senators lines done with STHS Client - 3.4.4.4
[12/15/2024 7:58:21 AM] Mika Zibanejad from Senators is back from Exhaustion.
[12/15/2024 7:58:21 AM] Waltteri Merela from Senators is back from Bruised Right Shoulder Injury.
[12/14/2024 7:57:51 AM] Mika Zibanejad from Senators is injured from Exhaustion.
[12/14/2024 7:57:46 AM] Auto Lines Partial Function has been run for Senators.
[12/14/2024 7:57:46 AM] Auto Lines Partial Function has been run for Senators.
[12/14/2024 7:57:46 AM] Auto Roster Partial Function has been run for Senators.
[12/13/2024 11:29:26 AM] Josh Dunne from Senators is back from Bruised Left Arm Injury.
[12/13/2024 11:29:26 AM] Game 473 - Waltteri Merela from Senators is injured (Bruised Right Shoulder) and is out for 4 days.
[12/13/2024 11:29:26 AM] Game 473 - Josh Dunne from Senators is injured (Bruised Left Arm) and is out for 3 days.
[12/13/2024 11:29:22 AM] Auto Lines Partial Function has been run for Senators.
[12/13/2024 11:29:21 AM] Auto Lines Partial Function has been run for Senators.
[12/13/2024 11:29:21 AM] Auto Roster Partial Function has been run for Senators.
[12/12/2024 10:59:54 AM] Jonatan Berggren from Senators is back from Sprained Left Ankle Injury.
[12/11/2024 11:21:22 AM] Mikey Anderson from Senators is back from Bruised Right Leg Injury.
[12/11/2024 11:21:22 AM] Mathew Dumba from Senators is back from Sports Hernia Injury.
[12/11/2024 11:21:22 AM] Farm Game #458 - Josh Dunne from Senators has scored a Hat Trick!
[12/11/2024 11:21:22 AM] Game 458 - Jonatan Berggren from Senators is injured (Sprained Left Ankle) and is out for 3 days.
[12/11/2024 11:21:22 AM] Game 458 - Mikey Anderson from Senators is injured (Bruised Right Leg) and is out for the game.
[12/10/2024 11:02:20 AM] Successfully loaded Senators lines done with STHS Client - 3.4.4.4
[12/10/2024 11:02:20 AM] Arber Xhekaj of Senators was sent to pro.
[12/8/2024 8:10:54 AM] Both Senators and Senators lines for next game are empty. Current rosters/lines are not erased.
[12/8/2024 8:10:53 AM] Game 438 - Mathew Dumba from Senators is injured (Sports Hernia) and is out for 4 days.
[12/7/2024 8:09:12 AM] Both Senators and Senators lines for next game are empty. Current rosters/lines are not erased.
[12/5/2024 11:02:12 AM] Both Senators and Senators lines for next game are empty. Current rosters/lines are not erased.
[12/5/2024 11:02:07 AM] Auto Lines Partial Function has been run for Senators.
[12/2/2024 11:00:47 AM] Marc McLaughlin from Senators is back from Left Hand Injury.
[12/1/2024 8:09:14 AM] Tyler Angle from Senators is back from Sore Right Knee Injury.
[12/1/2024 8:09:14 AM] Senators lines for next game are empty. Current rosters/lines are not erased. But, Senators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.

Pas de blessure ou de suspension.

Senators Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Tage Thompson	252	73	87	160	6	99	328	368	674	10.83%	26	4659	18.49	14	23	37	112	0	1	1	3	14	3	48.77%	0	0.69	1	10
2	Michael Bunting	279	64	63	127	0	141	573	266	580	11.03%	25	4594	16.47	9	10	19	79	0	0	0	2	13	5	39.26%	0	0.55	1	6
3	Mika Zibanejad	114	55	67	122	11	34	171	359	457	12.04%	50	2514	22.06	5	22	27	64	1	0	1	11	6	10	52.77%	1	0.97	1	4
4	Dylan Strome	197	50	71	121	4	26	167	330	484	10.33%	20	3692	18.74	12	16	28	87	0	0	0	3	7	3	51.70%	1	0.66	1	8
5	Mikey Anderson	184	24	84	108	-4	159	429	239	261	9.20%	292	4103	22.30	12	29	41	136	0	0	0	2	4	2	0.00%	0	0.53	0	0

Senators Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Tristan Jarry	177	89	64	17	0.906	2.75	10180	6	9	467	4952	4	3	0.556	27
2	Thomas Greiss	52	21	17	10	0.906	2.73	2876	2	1	131	1392	1	0	0.600	5
3	Joey Daccord	32	9	15	3	0.896	3.17	1702	2	1	90	863	1	1	0.833	12

Senators Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison régulière
5	82	45	27	0	1	1	3	5	292	241	51	41	26	11	0	0	1	2	1	152	117	35	41	19	16	0	1	0	1	4	140	124	16	104	292	493	785	0	10	0	77	104	107	2866	0	863	961	1029	2647	1001	688	1866	273	59	21.61%	200	35	82.50%	5	887	1783	49.75%	897	1723	52.06%	673	1365	49.30%	1773	1015	1860	837	1500	748
6	82	35	37	0	3	1	2	4	231	256	-25	41	16	20	0	1	1	1	2	106	126	-20	41	19	17	0	2	0	1	2	125	130	-5	85	231	382	613	0	2	0	58	89	79	2467	0	780	898	779	2532	802	892	1738	258	48	18.60%	282	57	79.79%	5	947	1863	50.83%	939	1914	49.06%	663	1331	49.81%	1687	915	3855	1731	1536	762
7	82	17	39	0	6	4	9	7	184	230	-46	41	8	18	0	3	1	6	5	91	103	-12	41	9	21	0	3	3	3	2	93	127	-34	75	184	286	470	0	2	0	25	72	72	2176	0	592	787	755	2605	901	893	1619	243	38	15.64%	302	63	79.14%	9	795	1727	46.03%	937	1929	48.57%	623	1267	49.17%	1566	763	1824	817	1629	807
8	82	33	26	0	3	3	7	10	243	239	4	41	14	18	0	0	1	4	4	117	130	-13	41	19	8	0	3	2	3	6	126	109	17	99	243	395	638	1	2	0	68	79	86	2735	0	882	914	911	2479	867	509	1679	274	47	17.15%	155	32	79.35%	1	1055	2096	50.33%	946	1839	51.44%	620	1194	51.93%	1791	1028	1721	763	1505	752
9	82	28	41	0	1	6	3	3	213	272	-59	41	12	22	0	1	5	0	1	101	136	-35	41	16	19	0	0	1	3	2	112	136	-24	73	213	345	558	3	1	0	54	73	82	2320	0	708	791	811	2503	771	891	1634	287	50	17.42%	335	65	80.60%	5	998	1944	51.34%	942	1935	48.68%	574	1227	46.78%	1666	885	1761	791	1538	755
10	82	31	27	0	2	4	10	8	238	242	-4	41	14	14	0	0	4	5	4	115	126	-11	41	17	13	0	2	0	5	4	123	116	7	98	238	370	608	0	0	0	63	74	89	2500	0	782	877	820	2553	848	873	1656	295	65	22.03%	309	62	79.94%	2	1033	1997	51.73%	1002	2016	49.70%	596	1210	49.26%	1720	945	1757	787	1537	756
11	82	36	24	0	1	7	5	9	215	202	13	41	16	13	0	0	5	3	4	107	104	3	41	20	11	0	1	2	2	5	108	98	10	100	215	351	566	4	0	0	58	71	80	2601	0	792	889	890	2588	887	507	1734	324	54	16.67%	192	21	89.06%	0	1008	2052	49.12%	993	1999	49.67%	573	1100	52.09%	1756	976	1750	775	1500	758
12	82	32	31	0	6	3	5	5	237	234	3	41	18	16	0	2	1	4	0	119	102	17	41	14	15	0	4	2	1	5	118	132	-14	94	237	404	641	2	2	0	55	87	84	2636	0	784	945	882	2677	890	546	1602	302	60	19.87%	229	49	78.60%	3	1011	2082	48.56%	1061	2171	48.87%	577	1178	48.98%	1782	1021	1744	747	1452	735
13	82	42	20	0	7	0	7	6	232	193	39	41	20	9	0	4	0	3	5	117	96	21	41	22	11	0	3	0	4	1	115	97	18	118	232	371	603	3	2	0	58	86	74	2688	0	822	923	920	2486	809	425	1640	298	53	17.79%	206	37	82.04%	1	1110	2130	52.11%	1027	1999	51.38%	558	1122	49.73%	1817	1062	1720	757	1461	732
14	82	31	27	0	3	2	8	11	245	233	12	41	13	12	0	2	1	6	7	121	116	5	41	18	15	0	1	1	2	4	124	117	7	97	245	393	638	2	2	0	62	92	80	2845	0	881	977	944	2637	876	484	1625	313	79	25.24%	230	39	83.04%	3	1173	2229	52.62%	1045	2051	50.95%	631	1196	52.76%	1827	1057	1726	747	1468	741
15	82	33	27	0	4	4	8	6	233	231	2	41	16	13	0	2	3	5	2	108	106	2	41	17	14	0	2	1	3	4	125	125	0	100	233	372	605	3	0	0	55	80	86	2713	0	887	897	895	2725	902	610	1611	290	65	22.41%	275	60	78.18%	6	971	2112	45.98%	939	2044	45.94%	569	1172	48.55%	1731	966	1807	767	1464	724
16	82	14	55	0	0	2	5	6	155	261	-106	41	8	29	0	0	0	2	2	77	130	-53	41	6	26	0	0	2	3	4	78	131	-53	46	155	267	422	1	3	0	67	47	36	1744	0	598	560	567	2714	792	790	1751	211	33	15.64%	284	41	85.56%	1	996	2212	45.03%	1366	3083	44.31%	511	1214	42.09%	1698	1125	2250	624	1031	487
17	86	12	53	0	3	3	6	9	164	262	-98	43	6	24	0	2	3	3	5	79	125	-46	43	6	29	0	1	0	3	4	85	137	-52	54	164	295	459	1	2	0	57	52	46	1957	0	643	656	628	2907	884	683	1841	230	34	14.78%	257	49	80.93%	2	1160	2526	45.92%	1455	3298	44.12%	531	1238	42.89%	1808	1205	2345	653	1094	518
18	82	11	56	0	1	3	8	3	159	278	-119	41	6	24	0	1	1	7	2	89	134	-45	41	5	32	0	0	2	1	1	70	144	-74	46	159	266	425	2	1	0	47	56	47	2015	0	697	656	638	2843	822	736	1734	207	32	15.46%	275	50	81.82%	3	1188	2447	48.55%	1421	3062	46.41%	546	1250	43.68%	1776	1196	2146	612	1057	503
19	82	21	44	0	2	5	4	6	195	272	-77	41	12	17	0	1	2	4	5	97	129	-32	41	9	27	0	1	3	0	1	98	143	-45	65	195	347	542	5	5	0	71	68	50	2036	0	693	682	639	2733	815	578	1715	196	35	17.86%	246	45	81.71%	2	1161	2452	47.35%	1374	2976	46.17%	563	1271	44.30%	1787	1214	2143	608	1051	506
20	82	42	24	0	4	3	4	5	238	198	40	41	16	13	0	4	2	4	2	124	105	19	41	26	11	0	0	1	0	3	114	93	21	108	238	426	664	1	6	0	74	74	82	2437	0	852	755	797	2193	643	600	1596	274	37	13.50%	257	45	82.49%	1	1508	2821	53.46%	1412	2711	52.08%	647	1204	53.74%	2083	1472	1865	588	1032	525
21	82	39	26	0	1	10	2	4	231	211	20	41	20	11	0	1	5	1	3	112	96	16	41	19	15	0	0	5	1	1	119	115	4	98	231	416	647	2	7	0	76	78	74	2394	0	750	818	799	2276	643	775	1832	316	62	19.62%	330	54	83.64%	2	1534	2905	52.81%	1495	2799	53.41%	665	1247	53.33%	2028	1409	1906	604	1033	518
22	82	39	27	0	4	3	7	2	274	214	60	41	22	10	0	3	0	4	2	146	98	48	41	17	17	0	1	3	3	0	128	116	12	105	274	478	752	4	4	0	94	92	77	2716	0	847	906	922	2156	678	721	1820	329	62	18.84%	318	56	82.39%	1	1663	3159	52.64%	1414	2676	52.84%	684	1266	54.03%	2042	1423	1886	609	1053	538
23	82	49	23	0	4	2	3	1	314	233	81	41	26	11	0	1	1	1	1	146	118	28	41	23	12	0	3	1	2	0	168	115	53	115	314	556	870	1	5	113	98	96	10	2907	975	959	954	33	2347	681	765	1981	304	61	20.07%	324	55	83.02%	11	1716	3224	53.23%	1468	2809	52.26%	662	1343	49.29%	1981	1372	1933	606	1036	517
23	82	37	29	0	6	5	1	4	246	224	22	41	21	12	0	4	2	1	1	130	111	19	41	16	17	0	2	3	0	3	116	113	3	97	246	454	700	0	4	101	73	65	8	2268	767	760	707	52	2438	712	614	1807	263	57	21.67%	262	47	82.06%	2	1287	2736	47.04%	1368	2896	47.24%	590	1240	47.58%	1911	1306	2012	613	1043	517
2022	82	33	29	0	4	6	6	4	264	244	20	41	23	11	0	0	3	4	0	143	114	29	41	10	18	0	4	3	2	4	121	130	-9	96	264	458	722	4	6	77	97	80	15	2615	797	850	913	86	2366	692	654	1813	287	52	18.12%	261	42	83.91%	3	1529	2925	52.27%	1454	2802	51.89%	688	1304	52.76%	2036	1436	1908	600	1050	529
2022	82	33	34	0	3	8	0	4	225	239	-14	41	17	15	0	1	6	0	2	116	122	-6	41	16	19	0	2	2	0	2	109	117	-8	84	225	417	642	0	4	84	69	69	3	2421	808	787	797	40	2427	758	468	1804	287	59	20.56%	208	44	78.85%	1	1281	2737	46.80%	1256	2823	44.49%	578	1245	46.43%	1889	1303	2034	599	1037	514
2023	82	31	30	0	11	5	2	3	229	234	-5	41	19	14	0	5	2	0	1	121	114	7	41	12	16	0	6	3	2	2	108	120	-12	96	229	410	639	4	2	90	60	66	15	2372	742	796	788	62	2443	688	533	1690	259	39	15.06%	239	52	78.24%	1	1369	2743	49.91%	1430	2831	50.51%	612	1255	48.76%	1940	1342	1989	597	1047	519
2024	33	13	14	0	2	1	1	2	100	99	1	17	5	8	0	2	0	1	1	49	49	0	16	8	6	0	0	1	0	1	51	50	1	35	100	172	272	0	3	30	37	30	3	935	287	315	315	29	920	282	235	742	96	15	15.63%	105	15	85.71%	1	540	1091	49.50%	588	1124	52.31%	273	516	52.91%	779	534	794	245	425	210
Total Saison régulière	1923	737	770	0	82	91	116	127	5357	5542	-185	962	374	365	0	40	50	71	62	2683	2707	-24	961	363	405	0	42	41	45	65	2674	2835	-161	2088	5357	9124	14481	43	75	495	1553	1780	1385	57364	4376	18320	19366	14928	59195	18644	15470	40530	6416	1196	18.64%	6081	1115	81.66%	71	27920	55993	49.86%	28229	57510	49.09%	14207	28955	49.07%	42885	26983	46748	17089	29591	14684
Séries éliminatoires
5	5	1	4	0	0	0	0	0	9	21	-12	3	0	3	0	0	0	0	0	4	15	-11	2	1	1	0	0	0	0	0	5	6	-1	2	9	15	24	0	0	0	2	5	2	160	0	44	70	46	172	55	38	102	17	3	17.65%	14	4	71.43%	0	59	122	48.36%	55	124	44.35%	51	90	56.67%	107	62	1966	881	85	42
8	7	3	4	0	0	0	0	0	27	24	3	3	1	2	0	0	0	0	0	13	11	2	4	2	2	0	0	0	0	0	14	13	1	6	27	43	70	0	0	0	10	10	7	209	0	84	74	46	252	93	50	151	29	7	24.14%	16	6	62.50%	0	87	184	47.28%	85	182	46.70%	47	126	37.30%	153	88	150	63	126	65
10	6	2	4	0	0	0	0	0	16	26	-10	3	1	2	0	0	0	0	0	9	11	-2	3	1	2	0	0	0	0	0	7	15	-8	4	16	25	41	0	0	0	2	6	7	178	0	51	44	64	229	71	69	107	12	2	16.67%	20	4	80.00%	1	74	143	51.75%	90	164	54.88%	45	92	48.91%	125	66	146	60	121	60
11	10	5	5	0	0	0	0	0	27	26	1	5	3	2	0	0	0	0	0	13	11	2	5	2	3	0	0	0	0	0	14	15	-1	10	27	45	72	0	1	0	5	10	10	322	0	82	123	115	293	92	61	215	30	7	23.33%	24	4	83.33%	0	129	269	47.96%	104	220	47.27%	53	126	42.06%	218	126	212	91	176	88
13	22	16	6	0	0	0	0	0	65	49	16	13	10	3	0	0	0	0	0	38	27	11	9	6	3	0	0	0	0	0	27	22	5	32	65	107	172	0	0	0	19	20	22	770	0	230	264	255	788	256	94	428	44	10	22.73%	49	5	89.80%	2	275	553	49.73%	307	639	48.04%	150	318	47.17%	486	292	490	193	378	186
14	5	1	4	0	0	0	0	0	9	18	-9	2	0	2	0	0	0	0	0	3	9	-6	3	1	2	0	0	0	0	0	6	9	-3	2	9	14	23	0	0	0	4	4	1	163	0	54	65	44	189	60	37	100	13	2	15.38%	16	7	56.25%	0	78	149	52.35%	68	137	49.64%	38	69	55.07%	104	61	113	44	81	39
15	26	14	12	0	0	0	0	0	67	66	1	14	6	8	0	0	0	0	0	33	39	-6	12	8	4	0	0	0	0	0	34	27	7	28	67	114	181	1	0	0	14	26	24	902	0	249	341	281	903	292	120	522	73	13	17.81%	62	13	79.03%	1	340	682	49.85%	271	577	46.97%	184	368	50.00%	568	332	577	242	461	226
20	6	2	4	0	0	0	0	0	11	19	-8	3	1	2	0	0	0	0	0	6	9	-3	3	1	2	0	0	0	0	0	5	10	-5	4	11	19	30	0	0	0	6	2	3	163	0	61	57	45	181	46	51	133	20	4	20.00%	20	4	80.00%	0	94	206	45.63%	97	202	48.02%	51	87	58.62%	141	97	143	43	75	37
21	9	5	4	0	0	0	0	0	19	21	-2	4	2	2	0	0	0	0	0	8	11	-3	5	3	2	0	0	0	0	0	11	10	1	10	19	35	54	1	0	0	3	8	7	213	0	59	66	85	274	94	106	187	29	5	17.24%	50	6	88.00%	1	129	283	45.58%	169	363	46.56%	54	129	41.86%	197	132	229	69	113	53
22	18	11	7	0	0	0	0	0	62	47	15	10	6	4	0	0	0	0	0	37	30	7	8	5	3	0	0	0	0	0	25	17	8	22	62	112	174	1	2	0	18	19	24	618	0	200	178	224	502	144	138	455	66	13	19.70%	66	9	86.36%	1	355	681	52.13%	320	607	52.72%	163	291	56.01%	462	319	417	132	240	122
23	4	0	4	0	0	0	0	0	8	15	-7	2	0	2	0	0	0	0	0	5	8	-3	2	0	2	0	0	0	0	0	3	7	-4	0	8	14	22	1	0	0	4	2	2	124	0	37	41	46	116	31	36	82	16	3	18.75%	17	6	64.71%	0	86	176	48.86%	70	132	53.03%	23	55	41.82%	98	68	92	29	49	24
23	6	2	4	0	0	0	0	0	17	27	-10	3	0	3	0	0	0	0	0	9	18	-9	3	2	1	0	0	0	0	0	8	9	-1	4	17	33	50	0	0	0	6	6	5	177	0	53	57	67	180	50	34	132	17	2	11.76%	16	3	81.25%	0	92	207	44.44%	99	202	49.01%	56	109	51.38%	143	99	141	43	75	38
2022	10	4	6	0	0	0	0	0	23	30	-7	5	1	4	0	0	0	0	0	7	16	-9	5	3	2	0	0	0	0	0	16	14	2	8	23	43	66	0	0	3	11	8	1	270	79	107	83	1	295	74	69	212	38	2	5.26%	28	7	75.00%	0	173	336	51.49%	188	350	53.71%	82	158	51.90%	241	167	233	74	128	65
2023	5	1	4	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	1	5	-4	3	1	2	0	0	0	0	0	7	7	0	2	8	15	23	0	0	3	2	3	0	142	51	34	57	0	159	41	44	99	17	0	0.00%	15	2	86.67%	0	85	180	47.22%	110	203	54.19%	33	66	50.00%	116	79	121	38	62	30
Total Séries éliminatoires	139	67	72	0	0	0	0	0	368	401	-33	72	31	41	0	0	0	0	0	186	220	-34	67	36	31	0	0	0	0	0	182	181	1	134	368	634	1002	4	3	6	106	129	115	4411	130	1345	1520	1319	4533	1399	947	2925	421	73	17.34%	413	80	80.63%	6	2056	4171	49.29%	2033	4102	49.56%	1030	2084	49.42%	3166	1995	5036	2006	2177	1081

Senators Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKS	GW	FO%	P/20
1	Anthony Mantha	6	3	3	6	-4	6	9	10	18	16.67%	0	131	21.92	0	2	2	1	0	0	42.11%	0.91
2	Jakub Vrana	6	1	4	5	-4	0	3	9	18	5.56%	0	144	24.05	0	1	1	4	1	0	30.00%	0.69
3	Evgeni Malkin	6	3	2	5	-4	0	14	20	23	13.04%	0	144	24.07	1	0	1	3	1	1	54.75%	0.69
4	Gustav Forsling	6	2	2	4	-6	6	6	4	12	16.67%	7	120	20.01	1	0	1	8	0	0	0.00%	0.67
5	Mika Zibanejad	5	0	4	4	-1	4	12	21	22	0.00%	3	112	22.47	0	0	0	4	0	0	53.29%	0.71

Senators Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	GA	SA
1	Tristan Jarry	9	2	7	0	0.892	3.46	451	26	241
2	Anton Forsberg	2	1	0	1	0.881	3.53	119	7	59
3	Thomas Greiss	2	0	0	0	0.846	4.09	88	6	39

	Senators
	GP: 33 \| W: 16 \| L: 14 \| OTL: 3 \| P: 35 GF: 100 \| GA: 99 \| PP%: 15.63% \| PK%: 85.71% DG: Alexandre Roberge \| Morale : 75 \| Moyenne d’équipe : 69 Prochain matchs #544 vs Oilers