LHS - Ligue de Hockey Simule

Senators
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

Show or Hide Column

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Mackie Samoskevich (R)	0	X		X		100.00	67	36	92	71	70	90	86	68	63	66	64	62	67	63	68	0	75	66	0
2	Ben Meyers (R)	0	X	X			100.00	67	36	91	63	71	85	82	64	71	62	63	61	60	67	69	0	75	64	0
3	Tye Kartye	0		X			100.00	85	41	81	67	73	77	87	64	58	60	62	61	65	64	66	0	75	64	0
4	Brennan Othmann (R)	0		X			100.00	69	40	73	65	73	84	82	64	58	62	61	63	65	62	64	0	75	63	0
5	Sasha Pastujov (R)	0		X	X		100.00	63	37	91	62	72	90	76	64	71	65	63	61	65	62	64	0	75	63	0
6	Sammy Walker (R)	0	X		X		100.00	59	36	87	65	66	79	85	63	66	60	56	57	59	66	68	0	75	62	0
7	Marc McLaughlin (R)	0	X				100.00	70	38	88	62	75	74	85	58	65	59	63	57	62	66	68	0	75	62	0
8	Hunter McKown (R)	0	X				100.00	69	39	84	59	78	81	83	56	65	59	58	57	56	63	65	0	75	61	0
9	Josh Dunne (R)	0	X	X			100.00	78	42	74	58	89	79	77	59	64	57	56	55	58	67	69	0	75	61	0
10	Otto Stenberg (R)	0	X				100.00	59	36	95	65	68	77	66	63	67	60	56	64	57	60	62	0	75	61	0
11	Alexis Gendron (R)	0			X		100.00	55	38	76	61	64	84	74	58	55	54	62	53	60	62	64	0	75	59	0
12	Daylan Kuefler (R)	0		X			100.00	70	51	67	56	79	85	66	55	58	54	52	57	53	63	65	0	75	58	0
13	Arber Xhekaj	0				X	100.00	85	88	58	65	94	84	85	63	30	67	59	66	50	65	68	0	75	65	0
14	Lian Bichsel (R)	0				X	100.00	78	56	65	66	99	82	75	65	30	64	63	67	52	61	65	0	75	65	0
15	Victor Mancini	0				X	100.00	77	40	87	66	89	82	72	63	30	65	58	60	50	63	65	0	75	64	0
16	Calle Rosen	0				X	100.00	65	37	91	66	75	80	86	64	30	65	56	62	50	71	73	0	75	64	0
17	Filip Roos (R)	0				X	100.00	74	39	85	58	86	80	84	56	30	57	52	58	47	66	68	0	75	61	0
18	Santeri Hatakka (R)	0				X	100.00	67	40	77	63	76	80	74	57	30	62	54	65	47	64	66	0	75	61	0
Scratches
1	Gleb Veremyev	0	X				100.00	78	43	73	55	87	71	60	54	59	53	50	57	51	62	64	0	75	58	0
2	Cole McWard (R)	0				X	100.00	63	37	92	58	76	74	83	56	30	57	55	59	48	64	66	0	75	60	0

	TEAM AVERAGE					100.00	70	43	81	63	78	81	78	61	52	60	58	60	56	64	66	0	75	62

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Clay Stevenson (R)	100.00	77	84	80	85	76	75	77	76	75	77	76	66	75	0	75	67	0
2	Jaxson Stauber (R)	100.00	75	82	78	78	74	73	75	74	73	75	74	66	75	0	75	65	0
Scratches
1	Matt D. Murray	100.00	79	85	81	77	78	77	79	78	77	79	78	67	77	0	75	67	0

	TEAM AVERAGE	100.00	77	84	80	80	76	75	77	76	75	77	76	66	76	0	75	66

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Nolan Pratt	65	71	78	68	75	70	76	CAN	50	3	950,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	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	EG	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Ben Meyers	Senators (OTT)	C/LW	28	17	15	32	20	20	0	43	55	101	17	65	16.83%	9	676	24.15	3	3	6	14	80	1	0	1	7	127	4	0	51.02%	394	1	2	0.95	0	2	0	0	2	3	2
2	Mackie Samoskevich	Senators (OTT)	C/RW	19	12	17	29	7	8	0	32	85	96	25	49	12.50%	9	502	26.45	1	8	9	15	55	0	0	0	2	88	0	0	51.94%	697	0	0	1.15	0	1	0	0	1	2	4
3	Tye Kartye	Senators (OTT)	LW	28	12	15	27	17	30	0	137	41	105	27	75	11.43%	7	584	20.89	1	2	3	12	69	0	1	1	1	72	3	0	52.56%	78	0	1	0.92	1	2	0	0	1	1	2
4	Lian Bichsel	Senators (OTT)	D	28	7	19	26	4	20	0	55	43	67	31	51	10.45%	47	664	23.72	4	9	13	35	77	0	0	0	2	101	2	0	0.00%	0	0	0	0.78	0	0	0	0	2	1	1
5	Sasha Pastujov	Senators (OTT)	LW/RW	28	14	12	26	20	8	0	25	45	83	33	67	16.87%	6	584	20.86	4	4	8	12	80	1	0	1	3	64	1	2	55.22%	67	0	0	0.89	0	1	0	0	1	2	1
6	Victor Mancini	Senators (OTT)	D	28	4	22	26	14	33	5	65	36	41	21	37	9.76%	44	607	21.71	3	3	6	21	70	0	1	1	0	86	0	1	0.00%	0	0	0	0.86	0	0	0	1	2	0	2
7	Arber Xhekaj	Senators (OTT)	D	28	3	16	19	7	63	15	136	39	40	14	45	7.50%	45	685	24.49	3	4	7	19	78	0	0	0	0	89	0	0	0.00%	0	0	0	0.55	0	0	2	1	0	1	2
8	Calle Rosen	Senators (OTT)	D	20	4	13	17	5	4	0	15	21	33	17	19	12.12%	32	432	21.65	2	1	3	17	49	0	1	1	0	71	1	0	0.00%	0	0	0	0.79	0	0	0	0	1	0	2
9	Marc McLaughlin	Senators (OTT)	C	28	10	7	17	6	10	0	38	67	80	26	47	12.50%	5	495	17.70	3	2	5	14	67	0	0	0	0	0	1	0	51.49%	637	0	0	0.69	0	0	0	0	1	0	2
10	Sammy Walker	Senators (OTT)	C/RW	28	4	11	15	6	2	0	6	32	60	23	57	6.67%	2	497	17.75	0	5	5	10	69	0	0	0	0	0	1	0	54.55%	44	0	0	0.60	0	0	0	0	0	1	0
11	Brennan Othmann	Senators (OTT)	LW	28	7	6	13	2	8	0	60	37	86	27	55	8.14%	3	432	15.45	0	1	1	8	24	0	0	0	3	28	2	0	36.00%	25	0	0	0.60	0	1	0	0	2	1	0
12	Josh Dunne	Senators (OTT)	C/LW	28	4	6	10	-1	30	0	58	44	42	14	36	9.52%	4	391	13.98	0	0	0	0	0	0	0	0	0	28	0	1	53.72%	309	0	0	0.51	0	0	0	0	0	1	0
13	Santeri Hatakka	Senators (OTT)	D	28	2	8	10	11	12	0	25	26	21	2	14	9.52%	28	399	14.27	0	0	0	1	0	0	0	0	0	42	0	0	0.00%	0	0	0	0.50	0	0	0	0	0	1	0
14	Filip Roos	Senators (OTT)	D	28	4	5	9	9	16	0	36	9	14	4	9	28.57%	24	377	13.47	0	0	0	0	2	0	0	0	0	7	1	0	0.00%	0	0	0	0.48	0	0	0	0	1	0	1
15	Alexis Gendron	Senators (OTT)	RW	28	4	4	8	-1	2	0	3	26	50	12	30	8.00%	0	362	12.93	0	0	0	0	0	0	0	0	0	0	1	0	36.00%	25	0	0	0.44	0	0	0	0	0	0	0
16	Hunter McKown	Senators (OTT)	C	28	1	5	6	0	6	0	12	17	27	9	14	3.70%	3	184	6.60	0	0	0	1	0	0	0	0	0	0	0	0	47.93%	217	0	0	0.65	0	0	0	0	0	0	0
17	Daylan Kuefler	Senators (OTT)	LW	28	0	6	6	2	8	0	21	4	9	4	12	0.00%	6	193	6.90	0	0	0	0	0	0	0	0	0	0	0	0	25.00%	4	0	0	0.62	0	0	0	0	1	0	0
18	Otto Stenberg	Senators (OTT)	C	28	1	1	2	1	0	0	0	5	9	3	4	11.11%	2	51	1.83	0	0	0	0	1	0	0	0	1	19	0	1	59.09%	44	0	0	0.78	0	0	0	0	0	0	0
19	Gleb Veremyev	Senators (OTT)	C	9	0	0	0	1	2	0	5	0	0	0	1	0.00%	0	7	0.86	0	0	0	0	1	0	0	0	0	1	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0
Team Total or Average				496	110	188	298	130	282	20	772	632	964	309	687	11.41%	276	8131	16.39	24	42	66	179	731	2	3	5	19	831	17	5	51.48%	2541	1	3	0.73	1	7	2	2	15	14	19

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2
1	Clay Stevenson	Senators (OTT)	28	17	7	2	0.910	3.13	1535	6	2	80	886	1	0.750	4	28	0	3	4
2	Jaxson Stauber	Senators (OTT)	5	1	1	0	0.947	1.89	159	0	0	5	95	1	1.000	3	0	28	0	0
Team Total or Average			33	18	8	2	0.913	3.01	1694	6	2	85	981	2	0.857	7	28	28	3	4

Show or Hide Column

Filter Tips

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

Player Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Alexis Gendron	RW	21	2003-12-30	Yes	175 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Arber Xhekaj	D	24	2001-01-30	No	240 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Ben Meyers	C/LW	26	1998-11-15	Yes	194 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Brennan Othmann	LW	22	2003-01-05	Yes	192 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Calle Rosen	D	31	1994-02-02	No	188 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Clay Stevenson	G	26	1999-03-03	Yes	195 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Cole McWard	D	24	2001-06-09	Yes	192 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Daylan Kuefler	LW	23	2002-02-10	Yes	195 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Filip Roos	D	26	1999-01-05	Yes	190 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Gleb Veremyev	C	22	2003-06-28	No	205 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Hunter McKown	C	23	2002-08-18	Yes	205 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jaxson Stauber	G	26	1999-04-27	Yes	174 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Josh Dunne	C/LW	26	1998-12-08	Yes	211 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Lian Bichsel	D	21	2004-05-18	Yes	231 Lbs	6 ft7	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Mackie Samoskevich	C/RW	22	2002-11-15	Yes	180 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Marc McLaughlin	C	26	1999-07-26	Yes	202 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Matt D. Murray	G	27	1998-02-02	No	196 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Otto Stenberg	C	20	2005-05-29	Yes	180 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Sammy Walker	C/RW	26	1999-06-07	Yes	180 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Santeri Hatakka	D	24	2001-01-15	Yes	191 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Sasha Pastujov	LW/RW	22	2003-07-15	Yes	187 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Tye Kartye	LW	24	2001-04-30	No	202 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Victor Mancini (1 Way Contract)	D	23	2002-05-26	No	229 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	2,500,000$	2,500,000$	1,692,708$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	24.13	197 Lbs	6 ft1	1.91	1,018,478$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ben Meyers	Mackie Samoskevich	Sasha Pastujov	40	1	2	2
2	Tye Kartye	Marc McLaughlin	Sammy Walker	30	1	2	2
3	Brennan Othmann	Josh Dunne	Alexis Gendron	20	1	2	2
4	Daylan Kuefler	Hunter McKown	Mackie Samoskevich	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Arber Xhekaj	Lian Bichsel	40	1	2	2
2	Calle Rosen	Victor Mancini	30	1	2	2
3	Filip Roos	Santeri Hatakka	20	1	2	2
4	Arber Xhekaj	Lian Bichsel	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ben Meyers	Mackie Samoskevich	Sasha Pastujov	60	1	2	2
2	Tye Kartye	Marc McLaughlin	Sammy Walker	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Arber Xhekaj	Lian Bichsel	60	1	2	2
2	Calle Rosen	Victor Mancini	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mackie Samoskevich	Ben Meyers	60	1	2	2
2	Tye Kartye	Sasha Pastujov	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Arber Xhekaj	Lian Bichsel	60	1	2	2
2	Calle Rosen	Victor Mancini	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Mackie Samoskevich	60	1	2	2	Arber Xhekaj	Lian Bichsel	60	1	2	2
2	Ben Meyers	40	1	2	2	Calle Rosen	Victor Mancini	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mackie Samoskevich	Ben Meyers	60	1	2	2
2	Tye Kartye	Sasha Pastujov	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Arber Xhekaj	Lian Bichsel	60	1	2	2
2	Calle Rosen	Victor Mancini	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Ben Meyers	Mackie Samoskevich	Sasha Pastujov	Arber Xhekaj	Lian Bichsel

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ben Meyers	Mackie Samoskevich	Sasha Pastujov	Arber Xhekaj	Lian Bichsel

Extra Forwards
Normal	PowerPlay	Penalty Kill
Otto Stenberg, Brennan Othmann, Josh Dunne	Otto Stenberg, Brennan Othmann	Josh Dunne

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Filip Roos, Santeri Hatakka, Calle Rosen	Filip Roos	Santeri Hatakka, Calle Rosen

Penalty Shots
Mackie Samoskevich, Ben Meyers, Tye Kartye, Sasha Pastujov, Brennan Othmann

Goalie
#1 : Clay Stevenson, #2 : Jaxson Stauber

Custom OT Lines Forwards
Mackie Samoskevich, Ben Meyers, Tye Kartye, Sasha Pastujov, Brennan Othmann, Marc McLaughlin, Marc McLaughlin, Sammy Walker, Josh Dunne, Hunter McKown, Otto Stenberg

Custom OT Lines Defensemen
Arber Xhekaj, Lian Bichsel, Calle Rosen, Victor Mancini, Filip Roos

Show or Hide Column

Filter Tips

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 For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
28	38	W1	111	188	299	964	981	279	288	772	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	13	8	4	1	1	1	111	86

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	7	4	1	0	0	1	53	37

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	6	4	3	1	1	0	58	49

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
91	24	26.37%	126	27	78.57%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
290	335	327	19	36	36	34	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
530	1017	52.11%	535	1045	51.20%	243	450	54.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
699	488	639	201	357	181

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
3 - 2025-10-09	11	Senators	4	Crunch	3	W	X		BoxScore
5 - 2025-10-11	27	Senators	8	Checkers	2	W			BoxScore
7 - 2025-10-13	41	Admirals	2	Senators	4	W			BoxScore
9 - 2025-10-15	57	Senators	1	Americans	2	L	X		BoxScore
10 - 2025-10-16	63	Firebirds	3	Senators	10	W			BoxScore
12 - 2025-10-18	77	Sound Tigers	5	Senators	3	L			BoxScore
15 - 2025-10-21	99	Condors	5	Senators	6	W			BoxScore
17 - 2025-10-23	113	Phantoms	3	Senators	2	L	X	X	BoxScore
19 - 2025-10-25	135	Senators	2	Bears	0	W			BoxScore
21 - 2025-10-27	149	Bruins	3	Senators	2	L			BoxScore
22 - 2025-10-28	160	Senators	6	IceHogs	5	W	X	X	BoxScore
24 - 2025-10-30	168	Wranglers	5	Senators	4	L			BoxScore
26 - 2025-11-01	187	Senators	2	Rocket	5	L			BoxScore
31 - 2025-11-06	218	Senators	3	Bruins	7	L			BoxScore
33 - 2025-11-08	232	Senators	4	Phantoms	3	W	X		BoxScore
34 - 2025-11-09	247	Roadrunners	2	Senators	3	W	X		BoxScore
36 - 2025-11-11	258	Stars	2	Senators	4	W			BoxScore
38 - 2025-11-13	271	Bruins	0	Senators	3	W			BoxScore
40 - 2025-11-15	286	Reign	1	Senators	2	W			BoxScore
45 - 2025-11-20	329	Senators	4	Gulls	1	W			BoxScore
47 - 2025-11-22	342	Senators	2	Barracuda	5	L			BoxScore
49 - 2025-11-24	359	Senators	4	Reign	3	W			BoxScore
51 - 2025-11-26	373	Senators	4	Silver Knights	3	W	X		BoxScore
53 - 2025-11-28	382	Senators	6	Thunderbirds	2	W			BoxScore
55 - 2025-11-30	405	Senators	6	Stars	4	W			BoxScore
57 - 2025-12-02	411	Senators	2	Rocket	4	L			BoxScore
59 - 2025-12-04	427	Wolf Pack	5	Senators	4	L			BoxScore
61 - 2025-12-06	445	Thunderbirds	1	Senators	6	W			BoxScore
64 - 2025-12-09	467	Devils	-	Senators	-
66 - 2025-12-11	486	Senators	-	Monsters	-
68 - 2025-12-13	496	Senators	-	Wild	-
70 - 2025-12-15	516	Senators	-	Moose	-
73 - 2025-12-18	536	Penguins	-	Senators	-
75 - 2025-12-20	551	IceHogs	-	Senators	-
76 - 2025-12-21	564	Senators	-	Bruins	-
78 - 2025-12-23	579	Americans	-	Senators	-
82 - 2025-12-27	590	Senators	-	Marlies	-
84 - 2025-12-29	606	Monsters	-	Senators	-
87 - 2026-01-01	632	Bears	-	Senators	-
89 - 2026-01-03	650	Moose	-	Senators	-
91 - 2026-01-05	664	Griffins	-	Senators	-
93 - 2026-01-07	680	Senators	-	Roadrunners	-
94 - 2026-01-08	691	Senators	-	Eagles	-
96 - 2026-01-10	704	Checkers	-	Senators	-
99 - 2026-01-13	725	Comets	-	Senators	-
100 - 2026-01-14	737	Senators	-	Wolf Pack	-
103 - 2026-01-17	758	Rocket	-	Senators	-
104 - 2026-01-18	768	Senators	-	Griffins	-
106 - 2026-01-20	782	Senators	-	Monsters	-
108 - 2026-01-22	798	Senators	-	Admirals	-
110 - 2026-01-24	813	Wolves	-	Senators	-
111 - 2026-01-25	821	Silver Knights	-	Senators	-
114 - 2026-01-28	841	Eagles	-	Senators	-
117 - 2026-01-31	866	Devils	-	Senators	-
119 - 2026-02-02	877	Senators	-	Penguins	-
120 - 2026-02-03	888	Senators	-	Wolves	-
122 - 2026-02-05	906	Senators	-	Phantoms	-
143 - 2026-02-26	920	Griffins	-	Senators	-
145 - 2026-02-28	940	Senators	-	Marlies	-
148 - 2026-03-03	966	Senators	-	Condors	-
150 - 2026-03-05	981	Senators	-	Wranglers	-
152 - 2026-03-07	1000	Senators	-	Firebirds	-
154 - 2026-03-09	1011	Senators	-	Comets	-
156 - 2026-03-11	1025	Rocket	-	Senators	-
159 - 2026-03-14	1043	Gulls	-	Senators	-
160 - 2026-03-15	1058	Barracuda	-	Senators	-
163 - 2026-03-18	1079	Senators	-	Bears	-
164 - 2026-03-19	1084	Sound Tigers	-	Senators	-
166 - 2026-03-21	1106	Marlies	-	Senators	-
168 - 2026-03-23	1119	Senators	-	Wolf Pack	-
169 - 2026-03-24	1122	Senators	-	Griffins	-
171 - 2026-03-26	1138	Penguins	-	Senators	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-28	1152	Senators	-	Crunch	-
176 - 2026-03-31	1181	Senators	-	Checkers	-
178 - 2026-04-02	1191	Americans	-	Senators	-
180 - 2026-04-04	1208	Wild	-	Senators	-
181 - 2026-04-05	1225	Wolves	-	Senators	-
183 - 2026-04-07	1234	Crunch	-	Senators	-
185 - 2026-04-09	1250	Checkers	-	Senators	-
187 - 2026-04-11	1262	Senators	-	Sound Tigers	-
188 - 2026-04-12	1279	Senators	-	Devils	-
191 - 2026-04-15	1304	Marlies	-	Senators	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	20	10
Attendance	25,956	13,000
Attendance PCT	99.83%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-3	2997 - 99.89%	62,415$	811,400$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
982,452$	2,092,500$	2,092,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	674,233$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-187,246$	130	15,846$	2,059,980$

Show or Hide Column

	Overall											Home											Visitor
Year	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
Regular Season
2024	82	40	32	0	1	6	1	2	285	272	13	41	23	13	0	0	2	1	2	151	132	19	41	17	19	0	1	4	0	0	134	140	-6	92	285	519	804	2	5	107	92	84	2	2772	927	905	919	30	2766	767	548	1884	275	63	22.91%	250	59	76.40%	2	1483	2979	49.78%	1501	2956	50.78%	696	1396	49.86%	1949	1343	1928	609	1069	532
2025	28	13	8	0	4	1	1	1	111	86	25	13	7	4	0	1	0	0	1	53	37	16	15	6	4	0	3	1	1	0	58	49	9	38	111	188	299	0	2	36	36	34	5	964	290	335	327	19	981	279	288	772	91	24	26.37%	126	27	78.57%	2	530	1017	52.11%	535	1045	51.20%	243	450	54.00%	699	488	639	201	357	181
Total Regular Season	110	53	40	0	5	7	2	3	396	358	38	54	30	17	0	1	2	1	3	204	169	35	56	23	23	0	4	5	1	0	192	189	3	130	396	707	1103	2	7	143	128	118	7	3736	1217	1240	1246	49	3747	1046	836	2656	366	87	23.77%	376	86	77.13%	4	2013	3996	50.38%	2036	4001	50.89%	939	1846	50.87%	2648	1831	2567	810	1427	714
Playoff
2024	5	1	4	0	0	0	0	0	15	18	-3	2	1	1	0	0	0	0	0	6	4	2	3	0	3	0	0	0	0	0	9	14	-5	2	15	26	41	0	0	6	6	3	0	201	62	63	76	0	162	42	24	90	16	1	6.25%	11	2	81.82%	0	94	190	49.47%	71	156	45.51%	35	77	45.45%	132	96	105	33	62	31
Total Playoff	5	1	4	0	0	0	0	0	15	18	-3	2	1	1	0	0	0	0	0	6	4	2	3	0	3	0	0	0	0	0	9	14	-5	2	15	26	41	0	0	6	6	3	0	201	62	63	76	0	162	42	24	90	16	1	6.25%	11	2	81.82%	0	94	190	49.47%	71	156	45.51%	35	77	45.45%	132	96	105	33	62	31