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Wolf Pack
GP: 46 | W: 16 | L: 25 | OTL: 5 | P: 37
GF: 136 | GA: 174 | PP%: 21.43% | PK%: 77.94%
DG: Marc Bonin | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #718 vs Firebirds

Centre de jeu
Americans
23-15-5, 51pts
4
3 Wolf Pack
16-25-5, 37pts
Team Stats
L1SéquenceL2
13-5-3Fiche domicile6-13-1
10-10-2Fiche domicile10-12-4
6-4-0Derniers 10 matchs3-6-1
3.60Buts par match 2.96
3.33Buts contre par match 3.78
24.38%Pourcentage en avantage numérique21.43%
77.50%Pourcentage en désavantage numérique77.94%
Wolf Pack
16-25-5, 37pts
0
6 Bruins
17-26-3, 37pts
Team Stats
L2SéquenceW2
6-13-1Fiche domicile10-13-1
10-12-4Fiche domicile7-13-2
3-6-1Derniers 10 matchs4-6-0
2.96Buts par match 3.02
3.78Buts contre par match 3.61
21.43%Pourcentage en avantage numérique17.20%
77.94%Pourcentage en désavantage numérique75.71%
Firebirds
21-18-4, 46pts
2026-01-12
Wolf Pack
16-25-5, 37pts
Statistiques d’équipe
W1SéquenceL2
12-9-1Fiche domicile6-13-1
9-9-3Fiche visiteur10-12-4
8-2-010 derniers matchs3-6-1
3.12Buts par match 2.96
2.98Buts contre par match 2.96
21.47%Pourcentage en avantage numérique21.43%
80.00%Pourcentage en désavantage numérique77.94%
Senators
29-9-6, 64pts
2026-01-14
Wolf Pack
16-25-5, 37pts
Statistiques d’équipe
W1SéquenceL2
16-2-4Fiche domicile6-13-1
13-7-2Fiche visiteur10-12-4
5-4-110 derniers matchs3-6-1
3.86Buts par match 2.96
3.09Buts contre par match 2.96
27.98%Pourcentage en avantage numérique21.43%
80.61%Pourcentage en désavantage numérique77.94%
Wolf Pack
16-25-5, 37pts
2026-01-17
Phantoms
19-21-3, 41pts
Statistiques d’équipe
L2SéquenceW1
6-13-1Fiche domicile11-10-2
10-12-4Fiche visiteur8-11-1
3-6-110 derniers matchs3-6-1
2.96Buts par match 2.74
3.78Buts contre par match 2.74
21.43%Pourcentage en avantage numérique14.58%
77.94%Pourcentage en désavantage numérique81.22%
Meneurs d'équipe
Danila KlimovichButs
Danila Klimovich
17
Danila KlimovichPasses
Danila Klimovich
27
Danila KlimovichPoints
Danila Klimovich
44
John FarinacciPlus/Moins
John Farinacci
6
Callum TungVictoires
Callum Tung
16
Michael SimpsonPourcentage d’arrêts
Michael Simpson
0.92

Statistiques d’équipe
Buts pour
136
2.96 GFG
Tirs pour
1395
30.33 Avg
Pourcentage en avantage numérique
21.4%
39 GF
Début de zone offensive
39.4%
Buts contre
174
3.78 GAA
Tirs contre
1628
35.39 Avg
Pourcentage en désavantage numérique
77.9%%
30 GA
Début de la zone défensive
41.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité5,000
Assistance4,636
Billets de saison3,750


Informations de la formation

Équipe Pro20
Équipe Mineure20
Limite contact 40 / 70
Espoirs32


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
1Cody GlassX100.00683789698483806580686267646769040660271925,000$
2John FarinacciXX100.00733694657277846371646162656466040640252925,000$
3Fredrik KarlstromX100.007439936083817959625661586467690406302831,300,000$
4Bokondji ImamaX100.00778554598267785753595856556970040610301950,000$
5Danila KlimovichXX100.00724273608190765957556158636264040610233925,000$
6Filip Mesar (R)X100.00563687636574676165625453646163040600223925,000$
7Gabriel Szturc (R)XX100.00623791597169705863575655546264040600223925,000$
8Bryce McConnell-Barker (R)X100.00673984577667725659545558546163040590223925,000$
9Matthew SopXX100.00623790587173635661595755586264040590233925,000$
10Ondrej Becher (R)XXX100.00653795587471705561565754586163040590223925,000$
11Ryder KorczakXX100.00583788586775815762565553546365040590232925,000$
12Miko Matikka (R)XX100.00723895548165645355525056516264040580223925,000$
13Vladislav KolyachonokX100.00693889677977746530666063526466040640251925,000$
14Guillaume Brisebois (R)X100.00653790587581705730565562496870040610293925,000$
15Jake BischoffX100.00663982627576825630605355467176040610322925,000$
16Cole ClaytonX100.00734082598264835830575356456567040610261925,000$
17Samuel KnazkoX100.00683892587764785530575456466365040600241925,000$
18Ole Bjorgvik-Holm (R)X100.00694170557864685430525356456365040580243925,000$
Rayé
MOYENNE D’ÉQUIPE100.0068418560767374585258565755646604061
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
1Callum Tung100.0067706683666567666567666267040620223925,000$
2Michael Simpson100.0066726875656466656466656267040610223925,000$
Rayé
MOYENNE D’ÉQUIPE100.006771677966656766656766626704062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill65707964767174USA5121,000,000$


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
1Danila KlimovichWolf Pack (NYR)LW/RW46172744527514490176571419.66%20111524.26511166618700001271142.62%12200020.7924001523
2Ondrej BecherWolf Pack (NYR)C/LW/RW46122436-3110063100109358111.01%2294120.475111625115000063144.55%87100000.7602000230
3Filip MesarWolf Pack (NYR)RW46132235040169315543858.39%1399321.594812351141016441051.96%17900000.7002000022
4Bokondji ImamaWolf Pack (NYR)LW4682129-1957151536010542907.62%1777016.744610241100001411127.08%4800000.7502201230
5Bryce McConnell-BarkerWolf Pack (NYR)C46121527-141804210077244715.58%2986818.8800011000000039.55%84700000.6200000021
6Guillaume BriseboisWolf Pack (NYR)D4642125-1118058486229456.45%4979417.274593277000154000%000000.6300000003
7Jake BischoffWolf Pack (NYR)D4681725-13320885347183617.02%5698621.452792077000063110%000000.5100000202
8Gabriel SzturcWolf Pack (NYR)C/LW4614519-24204376110327012.73%1279817.370008150000262046.57%27700000.4802000030
9Ryder KorczakWolf Pack (NYR)C/RW4651419-3060398110827704.63%1281017.6200000000000045.72%33900000.4700000010
10Fredrik KarlstromWolf Pack (NYR)C4610919-4120283312341598.13%63688.009716991920004510147.73%48400011.0304000110
11Conor TimminsRangersD20810181180364737162621.62%3248324.204262465000057210%000100.7400000211
12Vladislav KolyachonokWolf Pack (NYR)D23513180140363649122710.20%2854423.691342765011062110%000100.6600000020
13Miko MatikkaWolf Pack (NYR)LW/RW4661117-2920036469221566.52%1683618.1900001000000044.23%5200000.4100000010
14John FarinacciWolf Pack (NYR)C/RW209615640347255256816.36%848824.4312314651011681049.38%56900010.6102000100
15Cole ClaytonWolf Pack (NYR)D46189-225558552296173.45%4170815.40000413000025000%100000.2500010000
16Samuel KnazkoWolf Pack (NYR)D46178-19803536258194.00%4464213.9600021100009000%000000.2500000000
17Ole Bjorgvik-HolmWolf Pack (NYR)D3101-10012130033.33%25919.760000000001100%000000.3400000100
18Cody GlassWolf Pack (NYR)C3000-22059202100%16722.54000511000000054.67%750000000000000
Statistiques d’équipe totales ou en moyenne667134230364-20730725953103313824389479.70%4081227918.41396210138611262131364214745.06%386400240.59218212162112
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
1Callum TungWolf Pack (NYR)46162450.8933.7825372016014900210.88918460211
2Michael SimpsonWolf Pack (NYR)70100.9202.72243001113701000046000
Statistiques d’équipe totales ou en moyenne53162550.8953.692780201711627031184646211


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Bokondji ImamaWolf Pack (NYR)LW301996-08-03CANNo221 Lbs185 CMNoNoAssign ManuallyYesYes12024-07-17FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Bryce McConnell-BarkerWolf Pack (NYR)C222004-06-04CANYes191 Lbs185 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Callum TungWolf Pack (NYR)G222003-11-23CANNo198 Lbs191 CMNoNoFree AgentNoNo32025-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Cody GlassWolf Pack (NYR)C271999-04-01CANNo201 Lbs191 CMNoNoN/ANoYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Cole ClaytonWolf Pack (NYR)D262000-02-29CANNo209 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Danila KlimovichWolf Pack (NYR)LW/RW232003-01-09BLRNo202 Lbs188 CMNoNoN/ANoNo32025-05-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Filip MesarWolf Pack (NYR)RW222004-01-03SVKYes176 Lbs175 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Fredrik KarlstromWolf Pack (NYR)C281998-01-12SWENo200 Lbs191 CMNoNoN/AYesYes3FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien / Lien NHL
Gabriel SzturcWolf Pack (NYR)C/LW222003-09-24CZEYes194 Lbs180 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Guillaume BriseboisWolf Pack (NYR)D291997-07-21CANYes175 Lbs188 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jake BischoffWolf Pack (NYR)D321994-07-25USANo188 Lbs185 CMNoNoProspectYesYes22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
John FarinacciWolf Pack (NYR)C/RW252001-02-14USANo197 Lbs180 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Matthew SopWolf Pack (NYR)C/LW232003-02-04CANNo185 Lbs183 CMNoNoFree AgentNoNo32025-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Michael SimpsonWolf Pack (NYR)G222003-09-03CANNo188 Lbs185 CMNoNoFree AgentNoNo32025-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Miko MatikkaWolf Pack (NYR)LW/RW222003-10-26FINYes187 Lbs191 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Ole Bjorgvik-HolmWolf Pack (NYR)D242002-05-23NORYes190 Lbs188 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Ondrej BecherWolf Pack (NYR)C/LW/RW222004-02-22CZEYes184 Lbs185 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Ryder KorczakWolf Pack (NYR)C/RW232002-09-23CANNo171 Lbs180 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Samuel KnazkoWolf Pack (NYR)D242002-08-07SVKNo198 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Vladislav KolyachonokWolf Pack (NYR)D252001-05-26BLRNo195 Lbs188 CMNoNoN/ANoNo12024-05-18FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2024.65193 Lbs185 CM2.35945,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danila KlimovichCody GlassFilip Mesar40122
2Bokondji ImamaBryce McConnell-BarkerMiko Matikka30122
3Gabriel SzturcOndrej BecherRyder Korczak20122
4Ondrej BecherRyder KorczakMiko Matikka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokOle Bjorgvik-Holm40122
2Guillaume BriseboisJake Bischoff30122
3Cole ClaytonSamuel Knazko20122
4Jake BischoffCole Clayton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danila KlimovichFredrik KarlstromCody Glass60122
2Bokondji ImamaOndrej BecherFilip Mesar40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole ClaytonSamuel Knazko60122
2Guillaume BriseboisJake Bischoff40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Filip MesarDanila Klimovich60122
2Fredrik KarlstromBokondji Imama40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokCole Clayton60122
2Guillaume BriseboisJake Bischoff40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Danila Klimovich60122Vladislav KolyachonokCole Clayton60122
2Fredrik Karlstrom40122Guillaume BriseboisJake Bischoff40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip MesarDanila Klimovich60122
2Fredrik KarlstromBokondji Imama40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole ClaytonVladislav Kolyachonok60122
2Guillaume BriseboisJake Bischoff40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danila KlimovichCody GlassFilip MesarVladislav KolyachonokJake Bischoff
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bokondji ImamaCody GlassDanila KlimovichVladislav KolyachonokJake Bischoff
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Mesar, Gabriel Szturc, Ondrej BecherFilip Mesar, Gabriel SzturcFilip Mesar
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Bischoff, Cole Clayton, Samuel KnazkoJake BischoffJake Bischoff, Cole Clayton
Tirs de pénalité
Ondrej Becher, Fredrik Karlstrom, Danila Klimovich, Bokondji Imama, Filip Mesar
Gardien
#1 : Callum Tung, #2 : Michael Simpson


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
1Admirals2110000045-11010000002-21100000043120.50044800514536474422491463374711143112325.00%70100.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
2Americans2010000168-21010000034-11000000134-110.250610160051453644642249146337812514454125.00%7185.71%1704157644.67%748165745.14%32976942.78%10377091164344584284
3Barracuda1000010034-11000010034-10000000000010.5003690051453641942249146337391010192150.00%5180.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
4Bears30200100712-51010000023-12010010059-410.16771320005145364764224914633713137226014321.43%9277.78%0704157644.67%748165745.14%32976942.78%10377091164344584284
5Bruins20200000210-80000000000020200000210-800.0002241051453649042249146337581512408112.50%6266.67%1704157644.67%748165745.14%32976942.78%10377091164344584284
6Canucks20200000611-51010000037-41010000034-100.000610160051453647542249146337852784910110.00%4250.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
7Checkers11000000431000000000001100000043121.0004812005145364524224914633736111011200.00%50100.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
8Condors211000009901010000035-21100000064220.500915240051453645242249146337611316589444.44%7185.71%0704157644.67%748165745.14%32976942.78%10377091164344584284
9Crunch2020000024-21010000012-11010000012-100.00024600514536456422491463376324841800.00%4175.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
10Eagles2010001069-31010000015-41000001054120.500681400514536465422491463376520852800.00%4175.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
11Firebirds1000000123-1000000000001000000123-110.50024600514536422422491463372968244125.00%40100.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
12Griffins220000001073110000005321100000054141.0001020300051453645342249146337642010378337.50%4175.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
13Gulls1010000013-21010000013-20000000000000.00011200514536439422491463374611222100.00%10100.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
14Heat1010000013-2000000000001010000013-200.00012300514536431422491463373058248112.50%30100.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
15IceHogs1000010034-1000000000001000010034-110.50034700514536429422491463374513621300.00%3166.67%0704157644.67%748165745.14%32976942.78%10377091164344584284
16Marlies11000000624000000000001100000062421.000612180051453643842249146337305423600.00%2150.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
17Monsters11000000422000000000001100000042221.00048120051453641842249146337277420200.00%20100.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
18Penguins21100000752110000004131010000034-120.500713200051453646242249146337671514508337.50%7185.71%0704157644.67%748165745.14%32976942.78%10377091164344584284
19Phantoms1010000015-41010000015-40000000000000.000123005145364354224914633731101612100.00%20100.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
20Roadrunners22000000633110000004221100000021141.00061218005145364604224914633771258505240.00%4175.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
21Rocket201010008801010000045-11000100043120.50081523005145364664224914633785171635500.00%8275.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
22Senators1010000036-3000000000001010000036-300.000369005145364244224914633740131023300.00%5260.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
23Silver Knights21001000752100010005411100000021141.000711180051453645042249146337641912406350.00%6266.67%0704157644.67%748165745.14%32976942.78%10377091164344584284
24Sound Tigers20200000411-71010000016-51010000035-200.00048120051453645342249146337591523449111.11%9277.78%0704157644.67%748165745.14%32976942.78%10377091164344584284
25Stars1010000035-21010000035-20000000000000.0003580051453643442249146337331011276233.33%220.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
26Thunderbirds2010001010100100000106511010000045-120.5001013230051453646042249146337922321416466.67%8362.50%0704157644.67%748165745.14%32976942.78%10377091164344584284
27Wild11000000321110000003210000000000021.000369005145364264224914633727104278337.50%20100.00%0704157644.67%748165745.14%32976942.78%10377091164344584284
28Wolves30300000815-71010000014-320200000711-400.00081422005145364904224914633712226168516212.50%6183.33%0704157644.67%748165745.14%32976942.78%10377091164344584284
Total46122502322136174-3820413011105477-2326812012128297-15370.402136236372105145364139542249146337162844331510111823921.43%1363077.94%2704157644.67%748165745.14%32976942.78%10377091164344584284
_Since Last GM Reset46122502322136174-3820413011105477-2326812012128297-15370.402136236372105145364139542249146337162844331510111823921.43%1363077.94%2704157644.67%748165745.14%32976942.78%10377091164344584284
_Vs Conference25616011017298-26927000002233-111649011015065-15160.3207213520710514536475942249146337894240179526941414.89%761678.95%2704157644.67%748165745.14%32976942.78%10377091164344584284
_Vs Division1229001003150-1951400000919-10715001002231-950.208315889005145364334422491463374371109527150918.00%35682.86%0704157644.67%748165745.14%32976942.78%10377091164344584284

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4637L213623637213951628443315101110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4612252322136174
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2041311105477
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2681212128297
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1823921.43%1363077.94%2
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
422491463375145364
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
704157644.67%748165745.14%32976942.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10377091164344584284


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 - 2025-10-072Penguins1Wolf Pack4WSommaire du match
3 - 2025-10-099Wolf Pack3Americans4LXXSommaire du match
5 - 2025-10-1129Wolf Pack3Penguins4LSommaire du match
6 - 2025-10-1238Bears3Wolf Pack2LSommaire du match
8 - 2025-10-1451Condors5Wolf Pack3LSommaire du match
10 - 2025-10-1661Wolf Pack6Marlies2WSommaire du match
12 - 2025-10-1880Wolf Pack4Rocket3WXSommaire du match
14 - 2025-10-2093Wild2Wolf Pack3WSommaire du match
17 - 2025-10-23116Barracuda4Wolf Pack3LXSommaire du match
20 - 2025-10-26146Wolf Pack1Heat3LSommaire du match
22 - 2025-10-28163Wolf Pack3Canucks4LSommaire du match
24 - 2025-10-30175Wolf Pack6Condors4WSommaire du match
26 - 2025-11-01193Wolf Pack2Firebirds3LXXSommaire du match
29 - 2025-11-04206Wolves4Wolf Pack1LSommaire du match
32 - 2025-11-07227Wolf Pack5Griffins4WSommaire du match
33 - 2025-11-08237Sound Tigers6Wolf Pack1LSommaire du match
35 - 2025-11-10253Admirals2Wolf Pack0LSommaire du match
37 - 2025-11-12265Wolf Pack1Crunch2LSommaire du match
40 - 2025-11-15290Wolf Pack4Monsters2WSommaire du match
41 - 2025-11-16299Griffins3Wolf Pack5WSommaire du match
43 - 2025-11-18313Wolf Pack2Silver Knights1WSommaire du match
45 - 2025-11-20326Wolf Pack5Eagles4WXXSommaire du match
47 - 2025-11-22344Wolf Pack2Roadrunners1WSommaire du match
49 - 2025-11-24355Thunderbirds5Wolf Pack6WXXSommaire du match
51 - 2025-11-26368Wolf Pack3Wolves5LSommaire du match
53 - 2025-11-28376Wolf Pack2Bruins4LSommaire du match
54 - 2025-11-29391Crunch2Wolf Pack1LSommaire du match
57 - 2025-12-02415Stars5Wolf Pack3LSommaire du match
59 - 2025-12-04427Wolf Pack3Senators6LSommaire du match
61 - 2025-12-06441Eagles5Wolf Pack1LSommaire du match
62 - 2025-12-07458Silver Knights4Wolf Pack5WXSommaire du match
65 - 2025-12-10476Wolf Pack3IceHogs4LXSommaire du match
68 - 2025-12-13500Rocket5Wolf Pack4LSommaire du match
70 - 2025-12-15515Gulls3Wolf Pack1LSommaire du match
71 - 2025-12-16523Canucks7Wolf Pack3LSommaire du match
73 - 2025-12-18541Wolf Pack4Thunderbirds5LSommaire du match
75 - 2025-12-20549Phantoms5Wolf Pack1LSommaire du match
76 - 2025-12-21567Wolf Pack4Admirals3WSommaire du match
78 - 2025-12-23576Wolf Pack3Bears4LXSommaire du match
82 - 2025-12-27588Wolf Pack3Sound Tigers5LSommaire du match
84 - 2025-12-29608Wolf Pack4Wolves6LSommaire du match
86 - 2025-12-31622Wolf Pack2Bears5LSommaire du match
88 - 2026-01-02641Wolf Pack4Checkers3WSommaire du match
91 - 2026-01-05662Roadrunners2Wolf Pack4WSommaire du match
94 - 2026-01-08685Americans4Wolf Pack3LSommaire du match
96 - 2026-01-10697Wolf Pack0Bruins6LSommaire du match
98 - 2026-01-12718Firebirds-Wolf Pack-
100 - 2026-01-14737Senators-Wolf Pack-
103 - 2026-01-17755Wolf Pack-Phantoms-
105 - 2026-01-19779Wolf Pack-Gulls-
106 - 2026-01-20787Wolf Pack-Reign-
109 - 2026-01-23808Wolf Pack-Barracuda-
112 - 2026-01-26826Bruins-Wolf Pack-
114 - 2026-01-28842Wolf Pack-Sound Tigers-
115 - 2026-01-29849Sound Tigers-Wolf Pack-
117 - 2026-01-31861Wolf Pack-Penguins-
122 - 2026-02-05906Wolves-Wolf Pack-
143 - 2026-02-26924Phantoms-Wolf Pack-
145 - 2026-02-28934Penguins-Wolf Pack-
147 - 2026-03-02953Monsters-Wolf Pack-
150 - 2026-03-05975Marlies-Wolf Pack-
152 - 2026-03-07991Wolf Pack-Comets-
154 - 2026-03-091008Wolf Pack-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101017Heat-Wolf Pack-
157 - 2026-03-121036Wolf Pack-Moose-
159 - 2026-03-141046Wolf Pack-Wild-
161 - 2026-03-161065Reign-Wolf Pack-
163 - 2026-03-181077Comets-Wolf Pack-
164 - 2026-03-191086Wolf Pack-Monsters-
167 - 2026-03-221110Moose-Wolf Pack-
168 - 2026-03-231119Senators-Wolf Pack-
170 - 2026-03-251136Wolf Pack-Marlies-
172 - 2026-03-271151IceHogs-Wolf Pack-
174 - 2026-03-291167Checkers-Wolf Pack-
176 - 2026-03-311182Comets-Wolf Pack-
178 - 2026-04-021195Rocket-Wolf Pack-
180 - 2026-04-041207Griffins-Wolf Pack-
181 - 2026-04-051227Bears-Wolf Pack-
184 - 2026-04-081244Americans-Wolf Pack-
187 - 2026-04-111268Wolf Pack-Stars-
189 - 2026-04-131283Wolf Pack-Checkers-
191 - 2026-04-151302Wolf Pack-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance55,32937,398
Assistance PCT92.22%93.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 4636 - 92.73% 141,926$2,838,526$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,428,046$ 1,890,000$ 1,890,000$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 925,447$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,980,452$ 96 14,974$ 1,437,504$




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