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Wolf Pack
GP: 6 | W: 0 | L: 6 | OTL: 0 | P: 0
GF: 6 | GA: 37 | PP%: 11.11% | PK%: 77.27%
DG: Marc Bonin | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #84 vs Canucks

Centre de jeu
Sound Tigers
2-2-0, 4pts
3
2 Wolf Pack
0-6-0, 0pts
Team Stats
L1SéquenceL6
0-2-0Fiche domicile0-3-0
2-0-0Fiche domicile0-3-0
2-2-0Derniers 10 matchs0-6-0
3.75Buts par match 1.00
3.25Buts contre par match 6.17
11.11%Pourcentage en avantage numérique11.11%
72.73%Pourcentage en désavantage numérique77.27%
Wolf Pack
0-6-0, 0pts
1
3 Bears
2-2-0, 4pts
Team Stats
L6SéquenceW2
0-3-0Fiche domicile2-0-0
0-3-0Fiche domicile0-2-0
0-6-0Derniers 10 matchs2-2-0
1.00Buts par match 3.00
6.17Buts contre par match 2.25
11.11%Pourcentage en avantage numérique15.79%
77.27%Pourcentage en désavantage numérique100.00%
Canucks
3-2-0, 6pts
2026-10-11
Wolf Pack
0-6-0, 0pts
Statistiques d’équipe
W1SéquenceL6
2-1-0Fiche domicile0-3-0
1-1-0Fiche visiteur0-3-0
3-2-010 derniers matchs0-6-0
2.20Buts par match 1.00
2.40Buts contre par match 1.00
26.32%Pourcentage en avantage numérique11.11%
94.44%Pourcentage en désavantage numérique77.27%
Crunch
3-1-0, 6pts
2026-10-13
Wolf Pack
0-6-0, 0pts
Statistiques d’équipe
W1SéquenceL6
2-1-0Fiche domicile0-3-0
1-0-0Fiche visiteur0-3-0
3-1-010 derniers matchs0-6-0
4.75Buts par match 1.00
2.50Buts contre par match 1.00
28.57%Pourcentage en avantage numérique11.11%
80.00%Pourcentage en désavantage numérique77.27%
Wolf Pack
0-6-0, 0pts
2026-10-15
Comets
3-0-0, 6pts
Statistiques d’équipe
L6SéquenceW3
0-3-0Fiche domicile2-0-0
0-3-0Fiche visiteur1-0-0
0-6-010 derniers matchs3-0-0
1.00Buts par match 4.67
6.17Buts contre par match 4.67
11.11%Pourcentage en avantage numérique38.46%
77.27%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
John FarinacciButs
John Farinacci
1
Cade WebberPasses
Cade Webber
2
John FarinacciPoints
John Farinacci
2
Cade WebberPlus/Moins
Cade Webber
3
Sergei MurashovVictoires
Sergei Murashov
0
Sergei MurashovPourcentage d’arrêts
Sergei Murashov
0.939

Statistiques d’équipe
Buts pour
6
1.00 GFG
Tirs pour
173
28.83 Avg
Pourcentage en avantage numérique
11.1%
2 GF
Début de zone offensive
34.8%
Buts contre
37
6.17 GAA
Tirs contre
353
58.83 Avg
Pourcentage en désavantage numérique
77.3%%
5 GA
Début de la zone défensive
48.0%
Informations de l'équipe

Directeur généralMarc Bonin
EntraîneurJeff Blashill
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,617
Billets de saison3,750


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 70
Espoirs28


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
1Sam ColangeloX100.00733987698388846866626763686567040660252925,000$
2Danila KlimovichXX100.00724273618195845960576361626465040630242925,000$
3Aydar Suniev (R)X100.00683893628078845953586056616364040620223925,000$
4John FarinacciXX100.00633695617277845962605758566567040620261925,000$
5Bryce McConnell-BarkerX100.00673987587672865660545755596264040600232925,000$
6Gabriel SzturcXX100.00623790597169815562575659586365040600232925,000$
7Miko MatikkaXX100.00723992568169745558545357566365040600232925,000$
8Ondrej BecherXXX100.00653987597476825663585755596264040600232925,000$
9Dylan Hryckowian (R)X100.00573879626682635955586056616364040600233925,000$
10Xavier SimoneauXXX100.006542646163667957626056635965670406002631,052,000$
11Filip MesarX100.00563788586574815762595653586264040590232925,000$
12Andrew Basha (R)X100.00584168566765695557545352566163040570213925,000$
13Jack ThompsonX100.006437906375848162306663616264660406402531,500,000$
14Marek AlscherX100.00764180628583805830605364476265040620232925,000$
15Cade WebberX100.00895382559862775430535161456567040610262925,000$
16Jackson DorringtonX100.007043715779658656305554584662640406002331,003,000$
17William TrudeauX100.006540735874728457305655594764660406002431,011,000$
18Ole Bjorgvik-HolmX100.00694075557864745430535256456466040580252925,000$
Rayé
MOYENNE D’ÉQUIPE100.0067408260767580585057575856636504061
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
1Sergei Murashov100.0077827877767577767577766267040670232925,000$
2Kirill Gerasimyuk (R)100.0071787476706971706971706369040640243925,000$
Rayé
1Callum Tung100.0066747083656466656466656369040610232925,000$
MOYENNE D’ÉQUIPE100.007178747970697170697170636804064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill70777875797271USA5211,000,000$


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
1Cade WebberWolf Pack (NYR)D502231201639230%67615.3000024000010000%000000.5200000000
2John FarinacciWolf Pack (NYR)C/RW21120001821350.00%14623.23011030001110041.18%8500000.8600000000
3Marek AlscherWolf Pack (NYR)D2011020642210%95226.2801113000013000%000000.3800000000
4Ondrej BecherWolf Pack (NYR)C/LW/RW2011040122240%02814.1400012000030056.41%3900000.7100000000
5Dylan HryckowianWolf Pack (NYR)RW2011000212020%0199.980000000000000%000001.0000000000
6Sam ColangeloWolf Pack (NYR)RW20110405211190%14020.4400033000160038.46%1300000.4900000000
7Xavier SimoneauWolf Pack (NYR)C/LW/RW21011553273214.29%22713.7600022000030028.57%700000.7300010000
8Danila KlimovichWolf Pack (NYR)LW/RW21010409490111.11%15025.06101130000150033.33%300000.4000000000
9Bryce McConnell-BarkerWolf Pack (NYR)C2000-120123000%0115.7600000000030012.50%80000000000000
10Andrew BashaWolf Pack (NYR)LW2000-200011010%0115.6900000000010050.00%20000000000000
11Aydar SunievWolf Pack (NYR)LW2000000248180%03819.100003400018000%20000000000000
12Filip MesarWolf Pack (NYR)RW2000-100100000%084.03000000000000100.00%10000000000000
13Gabriel SzturcWolf Pack (NYR)C/LW2000000164010%02412.2900011000000042.11%380000000000000
14Jack ThompsonWolf Pack (NYR)D2000000114230%75326.7600043000015000%00000000000000
15Miko MatikkaWolf Pack (NYR)LW/RW2000000214030%12412.1600011000000050.00%40000000000000
16Ole Bjorgvik-HolmWolf Pack (NYR)D2000-120121120%32512.920000000003000%00000000000000
17Jackson DorringtonWolf Pack (NYR)D2000040312020%54020.330001400009000%00000000000000
18William TrudeauWolf Pack (NYR)D2000-120001020%32713.910000000004000%00000000000000
Statistiques d’équipe totales ou en moyenne393710-241555447215474.17%3960815.59123204000031110042.57%20200000.3300010000
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
1Sergei MurashovWolf Pack (NYR)20200.9393.00120006980000020100
Statistiques d’équipe totales ou en moyenne20200.9393.0012000698000020100


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrew BashaWolf Pack (NYR)LW212005-11-08CANYes174 Lbs180 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Aydar SunievWolf Pack (NYR)LW222004-11-16RUSYes198 Lbs188 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Bryce McConnell-BarkerWolf Pack (NYR)C232004-06-04CANNo191 Lbs185 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Cade WebberWolf Pack (NYR)D262001-01-05USANo212 Lbs201 CMNoNoTrade2026-10-04NoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Callum TungWolf Pack (NYR)G232003-11-23CANNo198 Lbs191 CMNoNoFree AgentNoNo22025-07-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Danila KlimovichWolf Pack (NYR)LW/RW242003-01-09BLRNo202 Lbs188 CMNoNoN/ANoNo22025-05-22FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Dylan HryckowianWolf Pack (NYR)RW232004-05-19CANYes180 Lbs178 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Filip MesarWolf Pack (NYR)RW232004-01-03SVKNo176 Lbs175 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Gabriel SzturcWolf Pack (NYR)C/LW232003-09-24CZENo194 Lbs180 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jack Thompson (contrat à 1 volet)Wolf Pack (NYR)D252002-03-19CANNo189 Lbs185 CMNoNoFree AgentNoNo32026-07-25FalseFalsePro & Farm1,500,000$1,500,000$1,410,811$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien / Lien NHL
Jackson DorringtonWolf Pack (NYR)D232004-04-13USANo192 Lbs188 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,003,000$0$0$No1,003,000$1,003,000$-------1,003,000$1,003,000$-------NoNo-------Lien / Lien NHL
John FarinacciWolf Pack (NYR)C/RW262001-02-14USANo197 Lbs180 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Kirill GerasimyukWolf Pack (NYR)G242003-08-22RUSYes178 Lbs188 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Marek AlscherWolf Pack (NYR)D232004-04-07CZENo206 Lbs191 CMNoNoTrade2026-08-23NoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Miko MatikkaWolf Pack (NYR)LW/RW232003-10-26FINNo187 Lbs191 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Ole Bjorgvik-HolmWolf Pack (NYR)D252002-05-23NORNo190 Lbs188 CMNoNoDraftNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Ondrej BecherWolf Pack (NYR)C/LW/RW232004-02-22CZENo184 Lbs185 CMNoNoDraftNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Sam ColangeloWolf Pack (NYR)RW252001-12-26USANo213 Lbs188 CMNoNoTrade2026-08-09NoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Sergei MurashovWolf Pack (NYR)G232004-04-01RUSNo185 Lbs188 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
William TrudeauWolf Pack (NYR)D242002-10-11CANNo197 Lbs183 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,011,000$0$0$No1,011,000$1,011,000$-------1,011,000$1,011,000$-------NoNo-------Lien / Lien NHL
Xavier SimoneauWolf Pack (NYR)C/LW/RW262001-05-19CANNo183 Lbs168 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,052,000$0$0$No1,052,000$1,052,000$-------1,052,000$1,052,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2123.71192 Lbs185 CM2.33966,238$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danila KlimovichJohn FarinacciSam Colangelo40122
2Aydar SunievOndrej BecherXavier Simoneau30122
3Miko MatikkaGabriel SzturcDylan Hryckowian20122
4Andrew BashaBryce McConnell-BarkerFilip Mesar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonMarek Alscher40122
2Cade WebberJackson Dorrington30122
3William TrudeauOle Bjorgvik-Holm20122
4Jack ThompsonMarek Alscher10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danila KlimovichJohn FarinacciSam Colangelo60122
2Aydar SunievOndrej BecherXavier Simoneau40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonMarek Alscher60122
2Cade WebberJackson Dorrington40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John FarinacciDanila Klimovich60122
2Ondrej BecherAydar Suniev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonMarek Alscher60122
2Cade WebberJackson Dorrington40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1John Farinacci60122Jack ThompsonMarek Alscher60122
2Ondrej Becher40122Cade WebberJackson Dorrington40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1John FarinacciDanila Klimovich60122
2Ondrej BecherAydar Suniev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonMarek Alscher60122
2Cade WebberJackson Dorrington40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danila KlimovichJohn FarinacciSam ColangeloJack ThompsonMarek Alscher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aydar SunievOndrej BecherXavier SimoneauCade WebberJackson Dorrington
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ondrej Becher, Xavier Simoneau, Miko MatikkaOndrej Becher, Xavier SimoneauOndrej Becher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jackson Dorrington, William Trudeau, Ole Bjorgvik-HolmJackson DorringtonJackson Dorrington, William Trudeau
Tirs de pénalité
Sam Colangelo, Danila Klimovich, John Farinacci, Aydar Suniev, Ondrej Becher
Gardien
#1 : Sergei Murashov, #2 : Kirill Gerasimyuk


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
1Bears1010000013-2000000000001010000013-200.00012300132034626051055171826300.00%9277.78%06618635.48%6225724.12%249226.09%8655206446725
2Bruins1010000017-6000000000001010000017-600.000123001320236260510822369100.00%2150.00%06618635.48%6225724.12%249226.09%8655206446725
3Crunch1010000019-81010000019-80000000000000.0001120013203362605104614222600.00%000%06618635.48%6225724.12%249226.09%8655206446725
4Griffins1010000009-9000000000001010000009-900.0000000013202962605106533420400.00%20100.00%06618635.48%6225724.12%249226.09%8655206446725
5Roadrunners1010000016-51010000016-50000000000000.00012300132019626051062132232150.00%110.00%06618635.48%6225724.12%249226.09%8655206446725
6Sound Tigers1010000023-11010000023-10000000000000.000246001320356260510431921212150.00%8187.50%06618635.48%6225724.12%249226.09%8655206446725
Total60600000637-3130300000418-1430300000219-1700.0006111700132017362605103531195312118211.11%22577.27%06618635.48%6225724.12%249226.09%8655206446725
_Since Last GM Reset60600000637-3130300000418-1430300000219-1700.0006111700132017362605103531195312118211.11%22577.27%06618635.48%6225724.12%249226.09%8655206446725
_Vs Conference50500000531-2620200000312-930300000219-1700.0005914001320154626051029110651981616.25%21480.95%06618635.48%6225724.12%249226.09%8655206446725
_Vs Division2020000036-31010000023-11010000013-200.000369001320696260510983639475120.00%17382.35%06618635.48%6225724.12%249226.09%8655206446725

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
60L6611171733531195312100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6060000637
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000418
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000219
Derniers 10 matchs
WLOTWOTL SOWSOL
060000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18211.11%22577.27%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
62605101320
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
6618635.48%6225724.12%249226.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
8655206446725


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 - 2026-09-294Wolf Pack1Bruins7LSommaire du match
3 - 2026-10-0111Crunch9Wolf Pack1LSommaire du match
4 - 2026-10-0221Wolf Pack0Griffins9LSommaire du match
6 - 2026-10-0437Roadrunners6Wolf Pack1LSommaire du match
8 - 2026-10-0646Sound Tigers3Wolf Pack2LSommaire du match
11 - 2026-10-0966Wolf Pack1Bears3LSommaire du match
13 - 2026-10-1184Canucks-Wolf Pack-
15 - 2026-10-1395Crunch-Wolf Pack-
17 - 2026-10-15108Wolf Pack-Comets-
19 - 2026-10-17129Wolf Pack-Monsters-
21 - 2026-10-19138Gulls-Wolf Pack-
24 - 2026-10-22156Wolf Pack-Marlies-
26 - 2026-10-24170Wolf Pack-Senators-
28 - 2026-10-26185Reign-Wolf Pack-
34 - 2026-11-01227Condors-Wolf Pack-
36 - 2026-11-03243Thunderbirds-Wolf Pack-
38 - 2026-11-05254Phantoms-Wolf Pack-
40 - 2026-11-07275Wolf Pack-Firebirds-
42 - 2026-11-09283Wolf Pack-Condors-
44 - 2026-11-11295Wolf Pack-Heat-
46 - 2026-11-13311Wolf Pack-Canucks-
49 - 2026-11-16331Rocket-Wolf Pack-
54 - 2026-11-21376Wolves-Wolf Pack-
57 - 2026-11-24390Wolf Pack-Americans-
58 - 2026-11-25400Wolf Pack-IceHogs-
59 - 2026-11-26423Heat-Wolf Pack-
61 - 2026-11-28432Wolves-Wolf Pack-
64 - 2026-12-01459Barracuda-Wolf Pack-
66 - 2026-12-03470Eagles-Wolf Pack-
68 - 2026-12-05484Comets-Wolf Pack-
69 - 2026-12-06490Wolf Pack-Wolves-
72 - 2026-12-09510Wolf Pack-Griffins-
74 - 2026-12-11528Monsters-Wolf Pack-
76 - 2026-12-13536Wolf Pack-Comets-
77 - 2026-12-14547Wolf Pack-Phantoms-
79 - 2026-12-16564Admirals-Wolf Pack-
81 - 2026-12-18576Wolf Pack-Sound Tigers-
83 - 2026-12-20591Comets-Wolf Pack-
85 - 2026-12-22616Wolf Pack-Thunderbirds-
87 - 2026-12-24633Griffins-Wolf Pack-
89 - 2026-12-26642Wolf Pack-Stars-
92 - 2026-12-29669Monsters-Wolf Pack-
94 - 2026-12-31683Wolf Pack-Monsters-
96 - 2027-01-02700IceHogs-Wolf Pack-
98 - 2027-01-04716Wolf Pack-Barracuda-
100 - 2027-01-06726Wolf Pack-Reign-
101 - 2027-01-07729Wolf Pack-Gulls-
105 - 2027-01-11763Bruins-Wolf Pack-
106 - 2027-01-12772Stars-Wolf Pack-
108 - 2027-01-14789Phantoms-Wolf Pack-
110 - 2027-01-16807Wolf Pack-Moose-
112 - 2027-01-18820Wolf Pack-Wild-
114 - 2027-01-20833Firebirds-Wolf Pack-
116 - 2027-01-22848Checkers-Wolf Pack-
118 - 2027-01-24863Wolf Pack-Penguins-
119 - 2027-01-25871Wolf Pack-Senators-
123 - 2027-01-29893Moose-Wolf Pack-
128 - 2027-02-03911Sound Tigers-Wolf Pack-
130 - 2027-02-05927Wolf Pack-Rocket-
131 - 2027-02-06930Americans-Wolf Pack-
134 - 2027-02-09957Wolf Pack-Sound Tigers-
136 - 2027-02-11968Wolf Pack-Phantoms-
137 - 2027-02-12981Wolf Pack-Wolves-
139 - 2027-02-14994Wolf Pack-Bears-
142 - 2027-02-171015Bears-Wolf Pack-
144 - 2027-02-191033Wolf Pack-Penguins-
147 - 2027-02-221049Bruins-Wolf Pack-
150 - 2027-02-251075Wolf Pack-Americans-
151 - 2027-02-261083Silver Knights-Wolf Pack-
153 - 2027-02-281094Wolf Pack-Roadrunners-
155 - 2027-03-021113Wolf Pack-Eagles-
157 - 2027-03-041133Wolf Pack-Silver Knights-
160 - 2027-03-071152Senators-Wolf Pack-
162 - 2027-03-091169Marlies-Wolf Pack-
164 - 2027-03-111179Penguins-Wolf Pack-
165 - 2027-03-121189Bears-Wolf Pack-
167 - 2027-03-141197Wolf Pack-Admirals-
169 - 2027-03-161216Wolf Pack-Checkers-
171 - 2027-03-181233Wolf Pack-Crunch-
173 - 2027-03-201246Wild-Wolf Pack-
176 - 2027-03-231268Wolf Pack-Rocket-
178 - 2027-03-251286Checkers-Wolf Pack-
181 - 2027-03-281307Penguins-Wolf Pack-
185 - 2027-04-011331Marlies-Wolf Pack-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance8,2345,618
Assistance PCT91.49%93.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 4617 - 92.35% 141,191$423,574$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
168,193$ 1,879,100$ 1,879,100$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 108,727$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,365,271$ 174 15,563$ 2,707,962$




Wolf Pack Leaders statistiques des joueurs (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

Wolf Pack 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

Wolf Pack 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

Wolf Pack Leaders statistiques des joueurs (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

Wolf Pack 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