Senators
GP: 11 | W: 6 | L: 5
GF: 38 | GA: 32 | PP%: 22.50% | PK%: 78.05%
DG: Alexandre Roberge | Morale : 75 | Moyenne d’équipe : 63
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Centre de jeu
Senators
6-5-0, 12pts
4
FINAL
2 Monsters
8-4-0, 16pts
Team Stats
L1StreakW1
2-3-0Home Record2-4-0
4-2-0Away Record6-0-0
5-4-1Last 10 Games8-1-1
3.45Buts par match 3.75
2.91Buts contre par match 3.25
22.50%Pourcentage en avantage numérique23.08%
78.05%Pourcentage en désavantage numérique80.00%
Monsters
8-4-0, 16pts
6
FINAL
2 Senators
6-5-0, 12pts
Team Stats
W1StreakL1
2-4-0Home Record2-3-0
6-0-0Away Record4-2-0
8-1-1Last 10 Games5-4-1
3.75Buts par match 3.45
3.25Buts contre par match 2.91
23.08%Pourcentage en avantage numérique22.50%
80.00%Pourcentage en désavantage numérique78.05%
Meneurs d'équipe
Matt D. MurrayVictoires
Matt D. Murray
6
Clay StevensonPourcentage d’arrêts
Clay Stevenson
0.938

Statistiques d’équipe
Buts pour
38
3.45 GFG
Tirs pour
336
30.55 Avg
Pourcentage en avantage numérique
22.5%
9 GF
Début de zone offensive
40.0%
Buts contre
32
2.91 GAA
Tirs contre
357
32.45 Avg
Pourcentage en désavantage numérique
78.0%
9 GA
Début de la zone défensive
41.1%
Information d’équipe

Directeur généralAlexandre Roberge
EntraîneurNolan Pratt
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 80
Espoirs31


Historique d'équipe

Saison actuelle6-5
Historique90-61-11 (0.556%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)7-9
Stanley Cup0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 TA SPÂgeContratSalaire moyen
1Mackie Samoskevich (R)0XX100.00673692717090866863666462676368075660222950,000$
2Ben Meyers (R)0XX100.00673691637185826471626361606769075640261950,000$
3Tye Kartye0X100.00854181677377876458606261656466075640241950,000$
4Brennan Othmann (R)0X100.00694073657384826458626163656264075630222950,000$
5Sasha Pastujov (R)0XX100.00633791627290766471656361656264075630222950,000$
6Sammy Walker (R)0XX100.00593687656679856366605657596668075620261950,000$
7Marc McLaughlin (R)0X100.00703888627574855865596357626668075620263925,000$
8Hunter McKown (R)0X100.00693984597881835665595857566365075610231950,000$
9Josh Dunne (R)0XX100.00784274588979775964575655586769075610262925,000$
10Otto Stenberg (R)0X100.00593695656877666367605664576062075610203950,000$
11Alexis Gendron (R)0X100.00553876616484745855546253606264075590212950,000$
12Daylan Kuefler (R)0X100.00705167567985665558545257536365075580232950,000$
13Gleb Veremyev0X100.00784373558771605459535057516264075580223999,999$
14Arber Xhekaj0X100.00858858659484856330675966506568075650241950,000$
15Victor Mancini0X100.007740876689827263306558605063650756402342,500,000$
16Calle Rosen0X100.00653791667580866430655662507173075640312925,000$
17Santeri Hatakka (R)0X100.00674077637680745730625465476466075610242950,000$
18Cole McWard (R)0X100.00633792587674835630575559486466075600242950,000$
Rayé
1Lian Bichsel (R)0X100.00785665669982756530646367526165075650212950,000$
2Filip Roos (R)0X100.00743985588680845630575258476668075610261950,000$
MOYENNE D’ÉQUIPE100.0070438163788178615260586056646607562
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 TA SPÂgeContratSalaire moyen
1Clay Stevenson (R)100.0077848085767577767577766675075670261950,000$
2Matt D. Murray100.0079858177787779787779786777075670273999,999$
Rayé
1Jaxson Stauber (R)100.0075827878747375747375746675075650261950,000$
MOYENNE D’ÉQUIPE100.007784808076757776757776667607566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Nolan Pratt65717868757076CAN503950,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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 GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Arber XhekajSenators (OTT)D1111011428103615265113.85%2627024.58011831000030000.00%000000.8100101002
2Marc McLaughlinSenators (OTT)C11471156028292292218.18%323421.332135290001350040.75%34600000.9400000201
3Brennan OthmannSenators (OTT)LW11461036029253082513.33%822520.530223360000291051.14%8800000.8900000120
4Sammy WalkerSenators (OTT)C/RW115493008243362315.15%218817.11112826000002030.77%1300010.9600000100
5Mackie SamoskevichSenators (OTT)C/RW1136924010313210299.38%216114.7100000000000044.24%16500001.1100000010
6Filip RoosSenators (OTT)D11257380139119618.18%1421719.80101534000034100.00%000100.6400000011
7Lian BichselSenators (OTT)D1025751201311113218.18%917917.911014600004000.00%000000.7800000100
8Otto StenbergSenators (OTT)C11167-100219357232.86%121019.10033928000000056.00%2500000.6700000000
9Calle RosenSenators (OTT)D11077-140111811520.00%2125623.28044629000032000.00%000000.5500000001
10Ben MeyersSenators (OTT)C/LW11336-22062430121510.00%227725.192249340000421059.38%3200000.4300000010
11Alexis GendronSenators (OTT)RW1151630096201725.00%116615.1200005000001175.00%400000.7200000101
12Cole McWardSenators (OTT)D11055320875170.00%615714.360000600009000.00%000000.6300000000
13Tye KartyeSenators (OTT)LW11145-21207132356242.86%224222.020336320000140044.49%23600000.4100000020
14Victor ManciniSenators (OTT)D8505-340117141735.71%716020.12202520000116000.00%000000.6200000001
15Hunter McKownSenators (OTT)C112246201617196710.53%319818.0400011000070035.71%4200000.4000000100
16Santeri HatakkaSenators (OTT)D11011100521110.00%8797.200000200009000.00%000000.2500000000
17Daylan KueflerSenators (OTT)LW11000120011200.00%0111.000000100013000.00%100000.0000000000
18Gleb VeremyevSenators (OTT)C1000000000000.00%000.170000000000000.00%000000.0000000000
19Josh DunneSenators (OTT)C/LW11000000100000.00%010.180000000001000.00%100000.0000000000
20Sasha PastujovSenators (OTT)LW/RW11000000000020.00%030.350000000000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne20638721103092102772773369221311.31%115324315.74917266932900032726143.92%95400110.6800101777
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Matt D. MurraySenators (OTT)116410.9102.8461320293240010.0000110110
2Clay StevensonSenators (OTT)10000.9382.4549002320000.0000011000
Statistiques d’équipe totales ou en moyenne126410.9132.8166220313560010.00001111110


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexis GendronSenators (OTT)RW212003-12-30Yes175 Lbs5 ft9NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Arber XhekajSenators (OTT)D242001-01-30No240 Lbs6 ft4NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Ben MeyersSenators (OTT)C/LW261998-11-15Yes194 Lbs5 ft11NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Brennan OthmannSenators (OTT)LW222003-01-05Yes192 Lbs6 ft0NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Calle RosenSenators (OTT)D311994-02-02No188 Lbs6 ft1NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Clay StevensonSenators (OTT)G261999-03-03Yes195 Lbs6 ft4NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Cole McWardSenators (OTT)D242001-06-09Yes192 Lbs6 ft1NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Daylan KueflerSenators (OTT)LW232002-02-10Yes195 Lbs6 ft2NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Filip RoosSenators (OTT)D261999-01-05Yes190 Lbs6 ft4NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Gleb VeremyevSenators (OTT)C222003-06-28No205 Lbs6 ft4NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Lien / Lien NHL
Hunter McKownSenators (OTT)C232002-08-18Yes205 Lbs6 ft1NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Jaxson StauberSenators (OTT)G261999-04-27Yes174 Lbs6 ft3NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Josh DunneSenators (OTT)C/LW261998-12-08Yes211 Lbs6 ft4NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Lian BichselSenators (OTT)D212004-05-18Yes231 Lbs6 ft7NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Mackie SamoskevichSenators (OTT)C/RW222002-11-15Yes180 Lbs5 ft11NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Marc McLaughlinSenators (OTT)C261999-07-26Yes202 Lbs6 ft0NoNoNo3Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$925,000$Lien / Lien NHL
Matt D. MurraySenators (OTT)G271998-02-02No196 Lbs6 ft1NoNoNo3Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$999,999$Lien / Lien NHL
Otto StenbergSenators (OTT)C202005-05-29Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Sammy WalkerSenators (OTT)C/RW261999-06-07Yes180 Lbs5 ft10NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Santeri HatakkaSenators (OTT)D242001-01-15Yes191 Lbs6 ft1NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Sasha PastujovSenators (OTT)LW/RW222003-07-15Yes187 Lbs6 ft0NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Tye KartyeSenators (OTT)LW242001-04-30No202 Lbs5 ft11NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Victor Mancini (contrat à 1 volet)Senators (OTT)D232002-05-26No229 Lbs6 ft3NoNoNo4Pro & Farm2,500,000$833,333$2,500,000$833,333$2,500,000$833,333$No2,500,000$2,500,000$2,500,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.13197 Lbs6 ft11.911,018,478$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben MeyersTye KartyeOtto Stenberg40122
2Hunter McKownMarc McLaughlinSammy Walker30122
3Brennan OthmannMackie SamoskevichAlexis Gendron20122
4Ben MeyersHunter McKownTye Kartye10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajVictor Mancini40122
2Calle RosenSanteri Hatakka30122
3Cole McWard20122
4Arber XhekajCalle Rosen10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben MeyersBrennan OthmannTye Kartye60122
2Otto StenbergMarc McLaughlinSammy Walker40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber Xhekaj60122
2Calle RosenSanteri Hatakka40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Marc McLaughlinBen Meyers60122
2Brennan OthmannTye Kartye40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajCalle Rosen60122
2Santeri Hatakka40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brennan Othmann60122Arber Xhekaj60122
2Ben Meyers40122Calle RosenCole McWard40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brennan OthmannBen Meyers60122
2Tye KartyeSammy Walker40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajCalle Rosen60122
2Cole McWard40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben MeyersTye KartyeBrennan OthmannArber XhekajCalle Rosen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben MeyersTye KartyeBrennan OthmannArber XhekajCalle Rosen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Otto Stenberg, Brennan Othmann, Ben MeyersOtto Stenberg, Brennan OthmannBrennan Othmann
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Calle Rosen, Arber Xhekaj, Arber Xhekaj
Tirs de pénalité
Sammy Walker, Ben Meyers, Marc McLaughlin, Tye Kartye, Brennan Othmann
Gardien
#1 : Matt D. Murray, #2 : Clay Stevenson
Lignes d’attaque personnalisées en prolongation
Tye Kartye, Ben Meyers, Alexis Gendron, Mackie Samoskevich, Brennan Othmann, Marc McLaughlin, Marc McLaughlin, Sammy Walker, Sasha Pastujov, Hunter McKown, Otto Stenberg
Lignes de défense personnalisées en prolongation
Arber Xhekaj, Victor Mancini, Calle Rosen, Santeri Hatakka,


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
1Bruins541000002211112200000083532100000148680.800224264001316811691011201123150454113719631.58%17570.59%016538243.19%17839245.41%7618042.22%2511692678414471
2Monsters624000001621-530300000714-73210000097240.333163046101316811671011201123207705314021314.29%24483.33%016538243.19%17839245.41%7618042.22%2511692678414471
Total11650000038326523000001517-26420000023158120.54538721101013168133610112011233571159427740922.50%41978.05%016538243.19%17839245.41%7618042.22%2511692678414471
_Since Last GM Reset11650000038326523000001517-26420000023158120.54538721101013168133610112011233571159427740922.50%41978.05%016538243.19%17839245.41%7618042.22%2511692678414471
_Vs Conference11650000038326523000001517-26420000023158120.54538721101013168133610112011233571159427740922.50%41978.05%016538243.19%17839245.41%7618042.22%2511692678414471
_Vs Division541000002211112200000083532100000148680.800224264001316811691011201123150454113719631.58%17570.59%016538243.19%17839245.41%7618042.22%2511692678414471

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1112L138721103363571159427710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
116500003832
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001517
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
64200002315
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
40922.50%41978.05%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1011201123131681
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
16538243.19%17839245.41%7618042.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2511692678414471


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2026-04-182Senators6Bruins1AWSommaire du match
2 - 2026-04-1910Senators3Bruins5ALSommaire du match
3 - 2026-04-2018Bruins2Senators3BWSommaire du match
4 - 2026-04-2126Bruins1Senators5BWSommaire du match
5 - 2026-04-2234Senators5Bruins2AWSommaire du match
8 - 2026-04-2557Senators0Monsters1ALSommaire du match
9 - 2026-04-2661Senators5Monsters4AWXSommaire du match
10 - 2026-04-2765Monsters3Senators2BLXSommaire du match
11 - 2026-04-2869Monsters5Senators3BLSommaire du match
12 - 2026-04-2973Senators4Monsters2AWSommaire du match
13 - 2026-04-3077Monsters6Senators2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2010
Assistance10,0005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 3000 - 100.00% 62,500$312,500$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,092,500$ 2,092,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 7 0$ 0$




Senators Leaders statistiques (saison régulière)

# 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
1Sammy Walker1646179140263211829552511.62%31326719.92825338200047349.52%10.8603
2Ben Meyers1645580135553618532050011.00%34335620.478223057202168155.08%20.8015
3Tye Kartye1454983132391005123045648.69%37312621.563161976123811153.32%10.8415
4Sasha Pastujov1605449103462210719338214.14%23264916.5698173910159451.77%10.7801
5Marc McLaughlin159396310238601753204039.68%22257716.211011216501157251.95%00.7902

Senators Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Clay Stevenson1356849110.9053.20756814840442450330.69213
2Matt D. Murray32201010.9033.10181822949740110.6673
3Jaxson Stauber71100.9402.131970071160101.0003
4Jet Greaves101110.9442.0129900101800000.0002

Senators Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
20248240320161228527213412313002121511321941171901400134140-6922855198042510792842277292790591930276676754818842756322.91%2505976.40%21483297949.78%1501295650.78%696139649.86%1949134319286091069532
20258242290521332325271412313021021631144941191603111160138221013235869092512110096630589611006107034275379270721662165123.61%2956278.98%31662307854.00%1540289553.20%713130954.47%2130151517855581034537
Total Saison régulière1648261068256085248482462602314314246688236350451129427816193608110517134102281921808583018881911198964551915591255405049111423.22%54512177.80%53145605751.92%3041585151.97%1409270552.09%407928593713116721041070
Séries éliminatoires
2024514000001518-32110000064230300000914-5215264100663020162637601624224901616.25%11281.82%09419049.47%7115645.51%357745.45%13296105336231
202511650000038326523000001517-264200000231581238721101013168133610112011233571159427740922.50%41978.05%016538243.19%17839245.41%7618042.22%2511692678414471
Total Séries éliminatoires16790000053503734000002121094500000322931453981511019221115371631831883519157118367561017.86%521178.85%025957245.28%24954845.44%11125743.19%383265373117206103

Senators Leaders statistiques (séries éliminatoires)

# 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
1Mackie Samoskevich1669155612375012.00%326816.81000400000045.09%01.1200
2Brennan Othmann1678152634274415.91%1029918.73022300002049.46%01.0000
3Marc McLaughlin1648122832443212.50%333220.76213500010042.76%00.7200
4Arber Xhekaj11110114283615263.85%2627024.5801180000000.00%00.8100
5Sammy Walker1655104210264012.50%223514.69112900012040.28%10.8500

Senators Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Matt D. Murray116410.9102.8461320293240010.0000
2Jet Greaves31200.8873.50137008710000.0000
3Clay Stevenson40200.9023.4520900121230000.0000