Connexion

Senators
GP: 6 | W: 2 | L: 4
GF: 19 | GA: 19 | PP%: 18.52% | PK%: 80.43%
DG: Farlou Ferland | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Senators
2-4-0, 4pts
1
FINAL
2 Wolf Pack
5-6-0, 10pts
Team Stats
L2StreakL1
2-1-0Home Record3-3-0
0-3-0Away Record2-3-0
2-2-2Last 10 Games4-3-3
3.17Buts par match 2.45
3.17Buts contre par match 2.64
18.52%Pourcentage en avantage numérique15.79%
80.43%Pourcentage en désavantage numérique88.52%
Wolf Pack
5-6-0, 10pts
4
FINAL
2 Senators
2-4-0, 4pts
Team Stats
L1StreakL2
3-3-0Home Record2-1-0
2-3-0Away Record0-3-0
4-3-3Last 10 Games2-2-2
2.45Buts par match 3.17
2.64Buts contre par match 3.17
15.79%Pourcentage en avantage numérique18.52%
88.52%Pourcentage en désavantage numérique80.43%
Meneurs d'équipe
Buts
Tanner Kero
4
Passes
Tanner Kero
6
Points
Tanner Kero
10
Plus/Moins
Tanner Kero
7
Victoires
Antoine Bibeau
2
Pourcentage d’arrêts
Antoine Bibeau
0.859

Statistiques d’équipe
Buts pour
19
3.17 GFG
Tirs pour
138
23.00 Avg
Pourcentage en avantage numérique
18.5%
5 GF
Début de zone offensive
37.6%
Buts contre
19
3.17 GAA
Tirs contre
135
22.50 Avg
Pourcentage en désavantage numérique
80.4%
9 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralFarlou Ferland
EntraîneurScott Gomez
DivisionDivision 1
ConférenceConference 1
CapitaineChristian Wolanin
Assistant #1Alex Turcotte
Assistant #2Jack Roslovic


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 60
Espoirs28


Historique d'équipe

Saison actuelle2-4
Historique41-35-6 (0.500%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)2-4
Coupe Stanley0


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
1Alexander Volkov0X100.00755789777270726043636567255960645000232925,000$
2Artem Anisimov0XX100.006142958275645972686971626179816950003311,000,000$
3Alex Turcotte (R) (A)0X100.007267825967606062786257635444446250002032,475,000$
4Carl Grundstrom0X100.00874586767363786432686060255353625000231925,000$
5Tyson Foerster (R)0X100.00757281587265666379566764644444655000193925,000$
6Gabriel Gagne (R)0X100.00787390637358565550475766505050615000241925,000$
7Jack Roslovic (A)0XX100.007043927969718872637573562564656750002421,838,362$
8Marko Dano0XX100.00727565767561565350524764445858605000261925,000$
9Ryan Dzingel0XX100.007253858270657975346968657566676850002911,800,000$
10Matthew Peca0XXX100.007353938263586160766056695352526450002821,300,000$
11Tanner Kero0XXX100.007355916267647063696457672556566350002811,000,000$
12Michael Dal Colle0XX100.00794493667661636144615759255758605000251700,000$
13Alex Biega0X100.008545887069625658255147765365656150003311,000,000$
14Andreas Borgman0X100.007572836774606053254048655355555948002611,000,000$
15Christian Jaros0X100.00816389638255575225514367375555585000251755,000$
16Martin Marincin0X100.00766284668058505725484578396465605000292700,000$
17Tommy Cross0X100.007777766777645755254650644944445850003111,000,000$
18Carl Dahlstrom0X100.00736389618356465925504472395959595000264850,000$
Rayé
1Luke Evangelista (R)0X100.00706190606159615250564459424444575000193925,000$
2Will Cuylle (R)0X100.00687649677659625050474858464444565000193925,000$
3Christian Wolanin (C)0X100.00665682797059475625404561255959555000261925,000$
4Lassi Thomson (R)0X100.007570885870596251254740613844445550002031,350,000$
5Tyler Tucker (R)0X100.007376665976616548254040603844445450002111,000,000$
MOYENNE D’ÉQUIPE100.0074618469736162594455536443555561500
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
1Antoine Bibeau100.0051486081515054585253304444525000271750,000$
2Artyom Zagidulin100.0054556870555651585554304444535300251750,000$
Rayé
MOYENNE D’ÉQUIPE100.005352647653535358545430444453520
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gomez59655659595586USA432850,000$


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
1Tanner KeroSenators (OTT)C/LW/RW646107208691444.44%08313.93112220000040033.33%300002.3900000210
2Jack RoslovicSenators (OTT)C/RW643760014142428.57%0579.66000000000110100.00%100002.4200000002
3Tyson FoersterSenators (OTT)C615661007573514.29%0569.4000000000000067.21%6100002.1300000010
4Alexander VolkovSenators (OTT)RW6314-1201082171214.29%411419.122137200000121037.50%800000.7000000000
5Alex TurcotteSenators (OTT)C6314-110019171961015.79%311118.530115210000140157.38%12200000.7200000100
6Tommy CrossSenators (OTT)D60442801337250.00%212420.69022626000031000.00%000000.6400000000
7Andreas BorgmanSenators (OTT)D6033300664040.00%511118.61011213000029000.00%000000.5400000000
8Alex BiegaSenators (OTT)D6022-3180925460.00%310517.52022513000027000.00%000000.3800000000
9Carl GrundstromSenators (OTT)LW6202-1002151340.00%0376.180000000000000.00%000001.0800000100
10Matthew PecaSenators (OTT)C/LW/RW6022-100268050.00%2427.0000000000000045.00%4000000.9500000010
11Artem AnisimovSenators (OTT)C/LW6011-1206615450.00%18313.9900000000000050.00%800000.2400000000
12Gabriel GagneSenators (OTT)RW6011-160445220.00%47212.16000000000350077.78%900000.2700000000
13Carl DahlstromSenators (OTT)D6000-220454100.00%27412.440000000009000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne78172946136009173123336513.82%26107513.7938112711500001672157.54%25200000.8600000432
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
1Antoine BibeauSenators (OTT)62220.8593.0637300191350000.000066000
Statistiques d’équipe totales ou en moyenne62220.8593.0637300191350000.000066000


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
Alex BiegaSenators (OTT)D331988-04-04No199 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Alex TurcotteSenators (OTT)C202001-02-25Yes185 Lbs5 ft11NoNoNo3Pro & Farm2,475,000$925,000$0$0$No2,475,000$2,475,000$
Alexander VolkovSenators (OTT)RW231997-08-01No195 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Andreas BorgmanSenators (OTT)D261995-06-17No205 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Antoine Bibeau (contrat à 1 volet)Senators (OTT)G271994-05-01No205 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$75,000$0$NoLien
Artem AnisimovSenators (OTT)C/LW331988-05-23No199 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Artyom ZagidulinSenators (OTT)G251995-08-07No180 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Carl DahlstromSenators (OTT)D261995-01-28No221 Lbs6 ft4NoNoNo4Pro & Farm850,000$850,000$0$0$No850,000$850,000$850,000$Lien
Carl GrundstromSenators (OTT)LW231997-12-01No201 Lbs6 ft0NoNoNo1Pro & Farm925,000$450,000$0$0$NoLien
Christian JarosSenators (OTT)D251996-04-01No222 Lbs6 ft3NoNoNo1Pro & Farm755,000$450,000$0$0$NoLien
Christian WolaninSenators (OTT)D261995-03-17No185 Lbs6 ft2NoNoNo1Pro & Farm925,000$450,000$0$0$NoLien
Gabriel GagneSenators (OTT)RW241996-11-11Yes186 Lbs6 ft5NoNoNo1Pro & Farm925,000$450,000$0$0$No
Jack RoslovicSenators (OTT)C/RW241997-01-29No187 Lbs6 ft1NoNoNo2Pro & Farm1,838,362$1,838,362$0$0$No1,838,362$Lien
Lassi ThomsonSenators (OTT)D202000-09-24Yes190 Lbs6 ft0NoNoNo3Pro & Farm1,350,000$894,167$0$0$No1,350,000$1,350,000$
Luke EvangelistaSenators (OTT)RW192002-02-21Yes165 Lbs5 ft11NoNoNo3Pro & Farm925,000$825,833$0$0$No925,000$925,000$
Marko DanoSenators (OTT)LW/RW261994-11-30No212 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Martin MarincinSenators (OTT)D291992-02-18No210 Lbs6 ft4NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Matthew PecaSenators (OTT)C/LW/RW281993-04-27No182 Lbs5 ft8NoNoNo2Pro & Farm1,300,000$1,300,000$0$0$No1,300,000$Lien
Michael Dal ColleSenators (OTT)LW/RW251996-06-20No200 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Ryan DzingelSenators (OTT)LW/RW291992-03-09No190 Lbs6 ft0NoNoNo1Pro & Farm1,800,000$1,800,000$0$0$NoLien
Tanner KeroSenators (OTT)C/LW/RW281992-07-24No180 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Tommy CrossSenators (OTT)D311989-09-12No205 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Tyler TuckerSenators (OTT)D212000-03-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Tyson FoersterSenators (OTT)C192002-01-18Yes194 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Will CuylleSenators (OTT)LW192002-02-05Yes204 Lbs6 ft3NoNoNo3Pro & Farm925,000$850,833$0$0$No925,000$925,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.16196 Lbs6 ft11.681,066,734$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artem AnisimovAlexander Volkov35122
2Alex Turcotte30122
3Tanner KeroTyson FoersterJack Roslovic25122
4Carl GrundstromMatthew PecaGabriel Gagne10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
138122
2Andreas BorgmanTommy Cross33122
3Alex BiegaCarl Dahlstrom29122
4Carl Dahlstrom0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner KeroAlexander Volkov60122
2Alex Turcotte40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tommy Cross60122
2Andreas BorgmanAlex Biega40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Gabriel Gagne60122
2Alex Turcotte40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex BiegaAndreas Borgman60122
2Tommy Cross40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Alex BiegaTommy Cross60122
2Alex Turcotte40122Andreas Borgman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex TurcotteMatthew Peca60122
2Tanner Kero40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tommy Cross60122
2Andreas Borgman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander VolkovAlex BiegaCarl Dahlstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander VolkovAndreas BorgmanCarl Dahlstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Turcotte, , Alexander VolkovAlex Turcotte, Alexander Volkov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Alex Biega, Tommy CrossAlex Biega, Tommy Cross
Tirs de pénalité
Jack Roslovic, Alex Turcotte, , , Tanner Kero
Gardien
#1 : , #2 : Antoine Bibeau


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
1Wolf Pack624000001919032100000129330300000710-340.3331934530094511384735524135299612527518.52%46980.43%08216848.81%7618241.76%509751.55%13188167467635
Total624000001919032100000129330300000710-340.3331934530094511384735524135299612527518.52%46980.43%08216848.81%7618241.76%509751.55%13188167467635
_Since Last GM Reset624000001919032100000129330300000710-340.3331934530094511384735524135299612527518.52%46980.43%08216848.81%7618241.76%509751.55%13188167467635
_Vs Conference624000001919032100000129330300000710-340.3331934530094511384735524135299612527518.52%46980.43%08216848.81%7618241.76%509751.55%13188167467635

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L2193453138135299612500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001919
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000129
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000710
Derniers 10 matchs
WLOTWOTL SOWSOL
220200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
27518.52%46980.43%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
47355249451
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
8216848.81%7618241.76%509751.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13188167467635


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 - 2022-03-162Senators3Wolf Pack4ALXSommaire du match
2 - 2022-03-1710Senators3Wolf Pack4ALXSommaire du match
3 - 2022-03-1818Wolf Pack1Senators5BWSommaire du match
4 - 2022-03-1926Wolf Pack4Senators5BWXSommaire du match
5 - 2022-03-2034Senators1Wolf Pack2ALSommaire du match
6 - 2022-03-2142Wolf Pack4Senators2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,591,836$ 2,200,919$ 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$ 0 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
1Alexander Volkov8223315486010310914515.86%10139717.0439124210131450.00%00.7700
2Ryan Dzingel7526275316710313417614.77%8135618.08816245520254327.27%00.7869
3Tyson Jost661925444448018313613.97%16134520.3978153900033152.68%00.6525
4Alex Turcotte8283139-471139155968.33%13151718.51319222901114157.05%00.5126
5Jack Roslovic82142135-622411041529.21%5110913.533362900014158.25%10.63613

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
1Artyom Zagidulin34171420.8792.54191302816720100.72429
2Antoine Bibeau36131720.8732.71190420866790100.7508
3Trevin Kozlowski84200.8782.0743500151230000.0000

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
202182303502294206213-74113180124399109-104117170105110710438820635255802746853211654547544537711725507106414894936212.58%4596984.97%31220224154.44%1132220751.29%649123552.55%2035142219446121015509
Total Saison régulière82303502294206213-74113180124399109-104117170105110710438820635255802746853211654547544537711725507106414894936212.58%4596984.97%31220224154.44%1132220751.29%649123552.55%2035142219446121015509
2021624000001919032100000129330300000710-341934530094511384735524135299612527518.52%46980.43%08216848.81%7618241.76%509751.55%13188167467635
Total Séries éliminatoires624000001919032100000129330300000710-341934530094511384735524135299612527518.52%46980.43%08216848.81%7618241.76%509751.55%13188167467635

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
1Tanner Kero646107286944.44%08313.93112200000033.33%02.3900
2Jack Roslovic643760141428.57%0579.660000000010100.00%02.4200
3Tyson Foerster615661075714.29%0569.40000000000067.21%02.1300
4Alex Turcotte6314-11019171915.79%311118.53011500000157.38%00.7200
5Alexander Volkov6314-121082114.29%411419.12213700001037.50%00.7000

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
1Antoine Bibeau62220.8593.0637300191350000.0000