Please rotate your device to landscape mode for a better experience.
Connexion

Chicago Wolves
GP: 55 | W: 24 | L: 24 | OTL: 7 | P: 55
GF: 285 | GA: 289 | PP%: 41.96% | PK%: 64.44%
DG: Camil Costandi | Morale : 41 | Moyenne d’équipe : 56
Prochains matchs #878 vs Hartford Wolf Pack

Centre de jeu
Chicago Wolves
24-24-7, 55pts
3
4 Rimouski Oceanic
28-22-4, 60pts
Team Stats
W1SéquenceW1
14-11-2Fiche domicile15-10-2
10-13-5Fiche domicile13-12-2
5-1-4Derniers 10 matchs4-6-0
5.18Buts par match 5.17
5.25Buts contre par match 4.15
41.96%Pourcentage en avantage numérique41.83%
64.44%Pourcentage en désavantage numérique61.90%
Milwaukee Admirals
37-14-3, 77pts
4
6 Chicago Wolves
24-24-7, 55pts
Team Stats
L3SéquenceW1
21-6-0Fiche domicile14-11-2
16-8-3Fiche domicile10-13-5
6-4-0Derniers 10 matchs5-1-4
6.56Buts par match 5.18
4.15Buts contre par match 5.25
44.79%Pourcentage en avantage numérique41.96%
68.72%Pourcentage en désavantage numérique64.44%
Chicago Wolves
24-24-7, 55pts
2026-01-09
Hartford Wolf Pack
27-21-6, 60pts
Statistiques d’équipe
W1SéquenceW2
14-11-2Fiche domicile16-10-1
10-13-5Fiche visiteur11-11-5
5-1-410 derniers matchs7-2-1
5.18Buts par match 4.98
5.25Buts contre par match 4.98
41.96%Pourcentage en avantage numérique37.50%
64.44%Pourcentage en désavantage numérique73.79%
Brampton Battalion
33-19-2, 68pts
2026-01-10
Chicago Wolves
24-24-7, 55pts
Statistiques d’équipe
SOW1SéquenceW1
23-4-1Fiche domicile14-11-2
10-15-1Fiche visiteur10-13-5
7-3-010 derniers matchs5-1-4
6.13Buts par match 5.18
4.39Buts contre par match 5.18
34.13%Pourcentage en avantage numérique41.96%
67.68%Pourcentage en désavantage numérique64.44%
Chicago Wolves
24-24-7, 55pts
2026-01-12
Seattle Thunderbirds
18-32-4, 40pts
Statistiques d’équipe
W1SéquenceL3
14-11-2Fiche domicile11-14-2
10-13-5Fiche visiteur7-18-2
5-1-410 derniers matchs3-7-0
5.18Buts par match 4.09
5.25Buts contre par match 4.09
41.96%Pourcentage en avantage numérique38.76%
64.44%Pourcentage en désavantage numérique60.92%
Meneurs d'équipe
Buts
Valtteri Puustinen
67
Mitchell StephensPasses
Mitchell Stephens
72
Points
Valtteri Puustinen
122
Plus/Moins
Lukas Rousek
16
Victoires
Sebastian Cossa
14
Pourcentage d’arrêts
Sebastian Cossa
0.867

Statistiques d’équipe
Buts pour
285
5.18 GFG
Tirs pour
1463
26.60 Avg
Pourcentage en avantage numérique
42.0%
60 GF
Début de zone offensive
30.6%
Buts contre
289
5.25 GAA
Tirs contre
1715
31.18 Avg
Pourcentage en désavantage numérique
64.4%%
64 GA
Début de la zone défensive
34.6%
Informations de l'équipe

Directeur généralCamil Costandi
EntraîneurStephane Robidas
DivisionMarcel Dionne
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,921
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 63
Espoirs32


Historique d'équipe

Saison actuelle24-24-7 (55PTS)
Historique203-206-33 (0.459%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)5 - 4 (0.556%)
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
1Valtteri Puustinen0XX99.007142908565557767255868642552526848620261775,000$
2Mitchell Stephens0X99.007343927973537959825756712558596442610281775,000$
3Ivan Miroshnichenko (R)0X100.008144997769548668256357662547486557610211950,000$
4Lukas Rousek0XX100.007572826872818757506247634544446062590261800,000$
5Pavol Regenda0XX100.007880746780565660505957655444446129570251775,000$
6Jackson Cates0XX100.007570886470737952654554625144445959560271775,000$
7Will Lockwood0X100.007467896567515056705058625544445954550271775,000$
8Ben Steeves (R)0X100.006461726661535258505656585344445848540232950,000$
9Ryan Gagnier0X100.007568906168404045563846604444445145490221775,000$
10Sawyer Boulton (R)0XXX100.006174326074383744553844534244444662460201800,000$
11Jordan Harris0X100.006942937267575561255048732560605959610241825,000$
12Elias Pettersson2 (R)0X100.007966828171608359254648652546465953610213838,333$
13Cavan Fitzgerald0X100.007874866574525349254043624144445370550281775,000$
14David Reinbacher (R)0X100.007677756277423954254053635044445647540202918,333$
15Djibril Toure0X100.007380556280606445253441593944445065540223805,000$
16Chad Nychuk0X100.007471816171414146253739603744445055510241775,000$
17Joe Fleming (R)0X100.006780376180444444253439563744444757500221775,000$
Rayé
1Wilmer Skoog0X100.007473756573555651645048614644445538530251775,000$
2Seamus Casey (R)0X100.006941996959606264256368632545456928590213950,000$
MOYENNE D’ÉQUIPE99.89736478687154605542485162394646575156
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
1Sebastian Cossa (R)097.00595366946160596561613044446073610221863,333$
2Drew Commesso (R)0100.00585366706063566363623044445969580221925,000$
3Nico Daws0100.00505468844851505550503049495168540241812,500$
Rayé
MOYENNE D’ÉQUIPE99.0056536783565855615858304646577058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Stephane Robidas7270676758541CAN48266,000$


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
1Valtteri PuustinenChicago Wolves (QUE)LW/RW54675512213311578932636814525.48%35124823.12161935349520261366629.47%958725061.95070211364
2Mitchell StephensChicago Wolves (QUE)C533472106116430541321766210019.32%29117622.20102737159612341283158.76%14674028021.8003042552
3Ivan MiroshnichenkoChicago Wolves (QUE)LW55263965-824106283135418919.26%2691216.58212147741013711035.56%454817011.4317002034
4Pavol RegendaChicago Wolves (QUE)LW/RW49352661-91187011080158449522.15%28100320.4862810670112472148.68%763429021.2200464312
5Lukas RousekChicago Wolves (QUE)LW/RW55223759168555745694336023.40%31106519.37711181499000062240.91%661717021.1101434123
6Jackson CatesChicago Wolves (QUE)C/LW55222547-66230709164153134.38%22102318.624376750113871053.20%6411014000.9200321013
7Jordan HarrisChicago Wolves (QUE)D5563238141210421047932277.59%88143126.04381151100004148120%01867000.5300101002
8Seamus CaseyChicago Wolves (QUE)D4353237-1271527487532286.67%2887820.434485590001830012.50%82632000.8400030201
9Elias Pettersson2Chicago Wolves (QUE)D4592635311345656970232712.86%63107023.7864101196000496000%01139000.6500125011
10Ben SteevesChicago Wolves (QUE)LW55171835-1243254558118286514.41%1269412.6300006000040063.16%192115001.0111032000
11Will LockwoodChicago Wolves (QUE)RW55171128-51715604469244324.64%1768912.5400007000003157.14%491815010.8111012121
12Ryan GagnierChicago Wolves (QUE)C46101525133735415436112027.78%2361013.2700001000052152.73%2561122000.8200115200
13Cavan FitzgeraldChicago Wolves (QUE)D5531316665355272288810.71%50105619.212243670000950160.00%5643000.3000403000
14Wilmer SkoogChicago Wolves (QUE)C4531114-9241048452561812.00%1448810.87000050000170051.75%228713000.5700002000
15Sawyer BoultonChicago Wolves (QUE)C/LW/RW547411-311545714030142023.33%1263111.7000000000001063.16%1999000.3500324000
16David ReinbacherChicago Wolves (QUE)D48099-25745302317570%2762613.0600011300002000100.00%1318000.2900432000
17Djibril ToureChicago Wolves (QUE)D55077-811260513416530%3476913.9800008000040000%1427000.1800534000
18Chad NychukChicago Wolves (QUE)D52066111514295140%2154310.45000030000270042.86%7112000.2200100000
19Joe FlemingChicago Wolves (QUE)D55011-2703029125210%74127.500000100004000%319000.0500015000
Statistiques d’équipe totales ou en moyenne98428343972212108758510231167146345479119.34%5671633416.606092152111891448271023221554.39%29863724510140.88320313649272123
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
1Sebastian CossaChicago Wolves (QUE)3014940.8674.25169620120903511200.2508300211
2Drew CommessoChicago Wolves (QUE)2681220.8175.46118640108591310100.66791941000
3Nico DawsChicago Wolves (QUE)102110.8265.04357003017298001.0003513000
Statistiques d’équipe totales ou en moyenne66242270.8454.78324160258166691930205454211


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
Ben SteevesChicago Wolves (QUE)LW232002-05-10USAYes170 Lbs5 ft9NoNoAssign ManuallyNoNo22025-06-15FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Cavan FitzgeraldChicago Wolves (QUE)D281996-08-23USANo200 Lbs6 ft1NoNoN/ANoNo12025-09-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Chad NychukChicago Wolves (QUE)D242001-03-06MANNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-08FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
David ReinbacherChicago Wolves (QUE)D202004-10-25AUTYes209 Lbs6 ft3NoNoProspectNoNo22024-06-21FalseFalsePro & Farm918,333$0$0$No918,333$--------918,333$--------No--------Lien
Djibril ToureChicago Wolves (QUE)D222003-06-05CANNo203 Lbs6 ft7NoNoAssign ManuallyNoNo32025-06-15FalseFalsePro & Farm805,000$0$0$No805,000$805,000$-------805,000$805,000$-------NoNo-------Lien
Drew CommessoChicago Wolves (QUE)G222002-07-19USAYes180 Lbs6 ft2NoNoProspectNoNo12024-06-21FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Elias Pettersson2Chicago Wolves (QUE)D212004-02-16SWEYes185 Lbs6 ft2NoNoTrade2025-06-25NoNo32025-06-15FalseFalsePro & Farm838,333$0$0$No838,333$838,333$-------838,333$838,333$-------NoNo-------Lien
Ivan MiroshnichenkoChicago Wolves (QUE)LW212004-02-04RUSYes185 Lbs6 ft1NoNoProspectNoNo12024-06-21FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Jackson CatesChicago Wolves (QUE)C/LW271997-09-26USANo190 Lbs6 ft0NoNoN/ANoNo12025-09-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Joe FlemingChicago Wolves (QUE)D222003-06-19USAYes223 Lbs6 ft1NoNoAssign ManuallyNoNo12025-06-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Jordan HarrisChicago Wolves (QUE)D242000-07-07USANo187 Lbs5 ft11NoNoN/ANoNo12025-07-03FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Lukas RousekChicago Wolves (QUE)LW/RW261999-04-20CZENo202 Lbs5 ft11NoNoN/ANoNo12025-09-05FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Mitchell StephensChicago Wolves (QUE)C281997-02-05CANNo203 Lbs6 ft0NoNoN/ANoNo12024-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Nico DawsChicago Wolves (QUE)G242000-12-22GERNo205 Lbs6 ft4NoNoN/ANoNo12024-07-30FalseFalsePro & Farm812,500$0$0$No---------------------------Lien
Pavol RegendaChicago Wolves (QUE)LW/RW251999-07-12SVKNo219 Lbs6 ft3NoNoN/ANoNo12025-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Ryan GagnierChicago Wolves (QUE)C222002-07-16ONNo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-06-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Sawyer BoultonChicago Wolves (QUE)C/LW/RW202004-07-12USAYes209 Lbs6 ft0NoNoFree AgentNoNo12025-10-08FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Seamus CaseyChicago Wolves (QUE)D212004-01-08USAYes162 Lbs5 ft10NoNoProspectNoNo32025-06-15FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Sebastian CossaChicago Wolves (QUE)G222002-11-21CANYes229 Lbs6 ft6NoNoProspectNoNo12024-06-21FalseFalsePro & Farm863,333$0$0$No---------------------------Lien
Valtteri PuustinenChicago Wolves (QUE)LW/RW261999-06-04FINNo182 Lbs5 ft10NoNoN/ANoNo12024-06-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Will LockwoodChicago Wolves (QUE)RW271998-06-10USANo185 Lbs5 ft11NoNoAssign ManuallyNoNo12025-06-17FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Wilmer SkoogChicago Wolves (QUE)C251999-07-17SWENo197 Lbs6 ft2NoNoAssign ManuallyNoNo12025-07-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2223.64196 Lbs6 ft11.36826,705$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valtteri PuustinenMitchell StephensLukas Rousek40122
2Ivan MiroshnichenkoJackson CatesPavol Regenda30122
3Pavol RegendaWill Lockwood20122
4Ben SteevesRyan GagnierSawyer Boulton10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisElias Pettersson240122
2Cavan FitzgeraldDavid Reinbacher30122
3Djibril ToureChad Nychuk20122
4Joe FlemingJordan Harris10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valtteri PuustinenMitchell StephensLukas Rousek60122
2Ivan MiroshnichenkoJackson CatesPavol Regenda40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisElias Pettersson260122
2Cavan FitzgeraldDavid Reinbacher40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mitchell StephensValtteri Puustinen60122
2Jackson CatesIvan Miroshnichenko40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisElias Pettersson260122
2Cavan FitzgeraldDavid Reinbacher40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mitchell Stephens60122Jordan HarrisElias Pettersson260122
2Jackson Cates40122Cavan FitzgeraldDavid Reinbacher40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mitchell StephensValtteri Puustinen60122
2Jackson CatesIvan Miroshnichenko40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisElias Pettersson260122
2Cavan FitzgeraldDavid Reinbacher40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valtteri PuustinenMitchell StephensLukas RousekJordan HarrisElias Pettersson2
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valtteri PuustinenMitchell StephensLukas RousekJordan HarrisElias Pettersson2
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pavol Regenda, Jackson Cates, Will LockwoodPavol Regenda, Jackson CatesPavol Regenda
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Djibril Toure, Chad Nychuk, Joe FlemingDjibril ToureDjibril Toure, Chad Nychuk
Tirs de pénalité
Valtteri Puustinen, Ivan Miroshnichenko, Mitchell Stephens, Lukas Rousek, Pavol Regenda
Gardien
#1 : Sebastian Cossa, #2 : Drew Commesso


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
1Binghampton Senators1010000026-4000000000001010000026-400.0002240072120913263885964712837131820300.00%4250.00%050292054.57%521104150.05%603104557.70%108952511035301149606
2Boisbriand Armada210000019811000000156-11100000042230.7509122100721209134738859647128643435366350.00%5180.00%050292054.57%521104150.05%603104557.70%108952511035301149606
3Brampton Battalion1010000045-1000000000001010000045-100.00046100072120913303885964712834836184125.00%3166.67%050292054.57%521104150.05%603104557.70%108952511035301149606
4Buffalo Bisons20100100918-910100000210-81000010078-110.25091524007212091381388596471287212102367114.29%11463.64%150292054.57%521104150.05%603104557.70%108952511035301149606
5Calgary Hitman21100000913-41010000049-51100000054120.50091625007212091351388596471288426493411100.00%7271.43%050292054.57%521104150.05%603104557.70%108952511035301149606
6Chicoutimi Sagueneens21100000811-30000000000021100000811-320.5008142200721209134338859647128662119425120.00%70100.00%050292054.57%521104150.05%603104557.70%108952511035301149606
7Drummondville Voltigeurs302000101216-420100010810-21010000046-220.33312172900721209137238859647128782825557685.71%10910.00%050292054.57%521104150.05%603104557.70%108952511035301149606
8Grand Rapids Griffins312000001514100000000000312000001514120.33315254000721209139538859647128872276469888.89%8187.50%050292054.57%521104150.05%603104557.70%108952511035301149606
9Hamilton Bulldogs22000000338251100000015411110000001841441.000335285007212091361388596471284914494844100.00%7357.14%050292054.57%521104150.05%603104557.70%108952511035301149606
10Hartford Wolf Pack21100000972211000009720000000000020.5009122100721209136238859647128612433437228.57%9366.67%050292054.57%521104150.05%603104557.70%108952511035301149606
11Hershey Bears33000000391425110000001468220000002581761.000395493007212091398388596471286416537113861.54%10280.00%150292054.57%521104150.05%603104557.70%108952511035301149606
12Lake Erie Monsters11000000211110000002110000000000021.0002350072120913153885964712823127242150.00%10100.00%050292054.57%521104150.05%603104557.70%108952511035301149606
13Laval Rockets312000001519-4312000001519-40000000000020.333152338007212091385388596471281154360486116.67%10370.00%050292054.57%521104150.05%603104557.70%108952511035301149606
14London Knights2200000016881100000012571100000043141.00016254100721209134638859647128572130348337.50%5340.00%050292054.57%521104150.05%603104557.70%108952511035301149606
15Lowell Devils1010000039-6000000000001010000039-600.00034700721209132738859647128271019215120.00%7442.86%050292054.57%521104150.05%603104557.70%108952511035301149606
16Manchester Monarchs21000001770110000005411000000123-130.750711180072120913543885964712887236355240.00%30100.00%050292054.57%521104150.05%603104557.70%108952511035301149606
17Manitoba Moose20200000611-51010000025-31010000046-200.000681400721209134738859647128502040315120.00%5260.00%050292054.57%521104150.05%603104557.70%108952511035301149606
18Milwaukee Admirals11000000642110000006420000000000021.000691500721209133238859647128441816193266.67%3166.67%050292054.57%521104150.05%603104557.70%108952511035301149606
19Philadelphia Phantoms21100000990211000009900000000000020.5009142300721209134838859647128772711325240.00%3166.67%050292054.57%521104150.05%603104557.70%108952511035301149606
20Quebec Rempart21000100981110000005321000010045-130.7509152400721209136538859647128491533464125.00%4250.00%050292054.57%521104150.05%603104557.70%108952511035301149606
21Rimouski Oceanic1000000134-1000000000001000000134-110.50036900721209131738859647128296717000%10100.00%050292054.57%521104150.05%603104557.70%108952511035301149606
22Rochester Americans312000001113-2211000008711010000036-320.333111930007212091368388596471281003357585120.00%11463.64%050292054.57%521104150.05%603104557.70%108952511035301149606
23Seattle Thunderbirds10000010431100000104310000000000021.0004480072120913263885964712816325202150.00%50100.00%050292054.57%521104150.05%603104557.70%108952511035301149606
24Sherbrooke Phoenix21100000712-510100000310-71100000042220.500791600721209135038859647128611889258450.00%12375.00%250292054.57%521104150.05%603104557.70%108952511035301149606
25Toronto Marlies10100000712-50000000000010100000712-500.0007121900721209133338859647128371015155120.00%5420.00%050292054.57%521104150.05%603104557.70%108952511035301149606
26TroisRivieres Lions1000000145-11000000145-10000000000010.5004610007212091315388596471282032316100.00%4325.00%050292054.57%521104150.05%603104557.70%108952511035301149606
27Victoriaville Tigres412000012124-300000000000412000012124-330.3752137580072120913117388596471281414371759333.33%8362.50%050292054.57%521104150.05%603104557.70%108952511035301149606
28Worcester Sharks31200000620-1421100000616-101010000004-420.3336101600721209135238859647128864489584125.00%12375.00%050292054.57%521104150.05%603104557.70%108952511035301149606
Total55222400225285289-427121100022138143-5281013002031471461550.50028544072500721209131463388596471281715567109310231436041.96%1806464.44%450292054.57%521104150.05%603104557.70%108952511035301149606
_Since Last GM Reset55222400225285289-427121100022138143-5281013002031471461550.50028544072500721209131463388596471281715567109310231436041.96%1806464.44%450292054.57%521104150.05%603104557.70%108952511035301149606
_Vs Conference28121200211165146191577000108182-1135500201846420290.518165252417007212091378038859647128821267597538713143.66%922473.91%250292054.57%521104150.05%603104557.70%108952511035301149606

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5555W1285440725146317155671093102300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5522240225285289
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2712110022138143
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2810130203147146
Derniers 10 matchs
WLOTWOTL SOWSOL
510004
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1436041.96%1806464.44%4
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
3885964712872120913
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
50292054.57%521104150.05%603104557.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
108952511035301149606


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 - 2025-10-085Worcester Sharks12Chicago Wolves1LSommaire du match
2 - 2025-10-0916Chicago Wolves2Victoriaville Tigres3LXXSommaire du match
4 - 2025-10-1135Chicago Wolves6Victoriaville Tigres7LSommaire du match
6 - 2025-10-1353Laval Rockets7Chicago Wolves5LSommaire du match
7 - 2025-10-1461Chicago Wolves11Grand Rapids Griffins3WSommaire du match
9 - 2025-10-1682Rochester Americans6Chicago Wolves3LSommaire du match
11 - 2025-10-1896Chicago Wolves0Worcester Sharks4LSommaire du match
13 - 2025-10-20113Chicago Wolves4Chicoutimi Sagueneens9LSommaire du match
14 - 2025-10-21125Hershey Bears6Chicago Wolves14WSommaire du match
16 - 2025-10-23144Chicago Wolves14Hershey Bears4WSommaire du match
17 - 2025-10-24155Laval Rockets3Chicago Wolves4WSommaire du match
19 - 2025-10-26179Hamilton Bulldogs4Chicago Wolves15WSommaire du match
22 - 2025-10-29200Philadelphia Phantoms6Chicago Wolves4LSommaire du match
23 - 2025-10-30216Chicago Wolves9Victoriaville Tigres6WSommaire du match
24 - 2025-10-31219Chicago Wolves1Grand Rapids Griffins3LSommaire du match
27 - 2025-11-03244Hartford Wolf Pack4Chicago Wolves3LSommaire du match
29 - 2025-11-05263Laval Rockets9Chicago Wolves6LSommaire du match
30 - 2025-11-06271Chicago Wolves4London Knights3WSommaire du match
32 - 2025-11-08295Hartford Wolf Pack3Chicago Wolves6WSommaire du match
34 - 2025-11-10307Chicago Wolves2Binghampton Senators6LSommaire du match
37 - 2025-11-13325Chicago Wolves4Brampton Battalion5LSommaire du match
38 - 2025-11-14335Chicago Wolves3Lowell Devils9LSommaire du match
39 - 2025-11-15350Buffalo Bisons10Chicago Wolves2LSommaire du match
42 - 2025-11-18371Quebec Rempart3Chicago Wolves5WSommaire du match
43 - 2025-11-19388Chicago Wolves7Toronto Marlies12LSommaire du match
44 - 2025-11-20403Manchester Monarchs4Chicago Wolves5WSommaire du match
46 - 2025-11-22422Chicago Wolves4Boisbriand Armada2WSommaire du match
47 - 2025-11-23434Chicago Wolves4Victoriaville Tigres8LSommaire du match
49 - 2025-11-25449Calgary Hitman9Chicago Wolves4LSommaire du match
51 - 2025-11-27467Drummondville Voltigeurs4Chicago Wolves5WXXSommaire du match
52 - 2025-11-28487Seattle Thunderbirds3Chicago Wolves4WXXSommaire du match
54 - 2025-11-30502Chicago Wolves4Quebec Rempart5LXSommaire du match
56 - 2025-12-02516Chicago Wolves7Buffalo Bisons8LXSommaire du match
58 - 2025-12-04533Sherbrooke Phoenix10Chicago Wolves3LSommaire du match
59 - 2025-12-05552Chicago Wolves18Hamilton Bulldogs4WSommaire du match
60 - 2025-12-06558Chicago Wolves11Hershey Bears4WSommaire du match
62 - 2025-12-08576London Knights5Chicago Wolves12WSommaire du match
64 - 2025-12-10596Manitoba Moose5Chicago Wolves2LSommaire du match
66 - 2025-12-12615Chicago Wolves4Drummondville Voltigeurs6LSommaire du match
68 - 2025-12-14630Chicago Wolves3Grand Rapids Griffins8LSommaire du match
69 - 2025-12-15639Worcester Sharks4Chicago Wolves5WSommaire du match
71 - 2025-12-17659Philadelphia Phantoms3Chicago Wolves5WSommaire du match
72 - 2025-12-18674Chicago Wolves3Rochester Americans6LSommaire du match
74 - 2025-12-20691Drummondville Voltigeurs6Chicago Wolves3LSommaire du match
76 - 2025-12-22711Chicago Wolves4Chicoutimi Sagueneens2WSommaire du match
77 - 2025-12-23722Chicago Wolves5Calgary Hitman4WSommaire du match
79 - 2025-12-25734Rochester Americans1Chicago Wolves5WSommaire du match
81 - 2025-12-27759TroisRivieres Lions5Chicago Wolves4LXXSommaire du match
83 - 2025-12-29772Chicago Wolves4Sherbrooke Phoenix2WSommaire du match
85 - 2025-12-31789Boisbriand Armada6Chicago Wolves5LXXSommaire du match
87 - 2026-01-02805Chicago Wolves2Manchester Monarchs3LXXSommaire du match
88 - 2026-01-03820Chicago Wolves4Manitoba Moose6LSommaire du match
89 - 2026-01-04831Lake Erie Monsters1Chicago Wolves2WSommaire du match
90 - 2026-01-05847Chicago Wolves3Rimouski Oceanic4LXXSommaire du match
92 - 2026-01-07862Milwaukee Admirals4Chicago Wolves6WSommaire du match
94 - 2026-01-09878Chicago Wolves-Hartford Wolf Pack-
95 - 2026-01-10894Brampton Battalion-Chicago Wolves-
97 - 2026-01-12919Chicago Wolves-Seattle Thunderbirds-
98 - 2026-01-13925Peoria Riverman-Chicago Wolves-
100 - 2026-01-15949Toronto Marlies-Chicago Wolves-
103 - 2026-01-18969Chicago Wolves-Philadelphia Phantoms-
104 - 2026-01-19984Rimouski Oceanic-Chicago Wolves-
105 - 2026-01-20993Chicago Wolves-Texas Stars-
107 - 2026-01-221014Hamilton Bulldogs-Chicago Wolves-
108 - 2026-01-231027Chicago Wolves-Peoria Riverman-
110 - 2026-01-251045Victoriaville Tigres-Chicago Wolves-
112 - 2026-01-271063Chicago Wolves-TroisRivieres Lions-
113 - 2026-01-281079Chicago Wolves-Philadelphia Phantoms-
114 - 2026-01-291085Hershey Bears-Chicago Wolves-
117 - 2026-02-011109Chicoutimi Sagueneens-Chicago Wolves-
119 - 2026-02-031128Binghampton Senators-Chicago Wolves-
122 - 2026-02-061153Lowell Devils-Chicago Wolves-
123 - 2026-02-071164Chicago Wolves-Bridgeport Sound Tigers-
125 - 2026-02-091184Chicago Wolves-Laval Rockets-
127 - 2026-02-111200Bridgeport Sound Tigers-Chicago Wolves-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
129 - 2026-02-131220Grand Rapids Griffins-Chicago Wolves-
130 - 2026-02-141230Chicago Wolves-Milwaukee Admirals-
132 - 2026-02-161248Chicago Wolves-Lake Erie Monsters-
134 - 2026-02-181259Bridgeport Sound Tigers-Chicago Wolves-
136 - 2026-02-201276Chicago Wolves-Worcester Sharks-
140 - 2026-02-241299Texas Stars-Chicago Wolves-
141 - 2026-02-251312Chicago Wolves-Worcester Sharks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance52,17426,681
Assistance PCT96.62%98.82%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
14 2921 - 97.35% 86,705$2,341,028$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,180,697$ 1,818,749$ 1,818,749$ 66,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,180,697$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,213,866$ 50 13,273$ 663,650$




Chicago Wolves 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
1Mitchell Stephens54123742065740346603998157915.01%390948617.5433931268778151625856.26%171.39216
2Adam Johnson338245346591-84470496704168514.54%311809623.95531381911594042223056.42%151.46524
3Morgan Klimchuk32820024044032292512440116817.12%208611618.6560681281440008241241.43%81.4400
4C.J. Smith276155241396-11026839466295316.26%253599721.733457918700097943.04%41.32416
5Patrick Brown304144240384-9228850856088816.22%228609620.05406010096808812849.52%81.26812

Chicago Wolves 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
1Pat Nagle2129680240.8924.2012339008648004440420160.25016
2Kyle Keyser1494473220.8725.047958160669523832101100.54951
3Daniel Vladar56351350.8844.4731856023720441196510.71421
4Devin Cooley3223420.8714.7617660014010886242000
5Sebastian Cossa56231850.8604.542988202261616890200.43816

Chicago Wolves 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
202082303902614388393-541171900203211203841132002411177190-1376388614100250901581376270375510189113532561118107914442149242.99%2057563.41%5776155649.87%889182948.61%739154047.99%155779017977761605821
202082303902614388393-541171900203211203841132002411177190-1376388614100250901581376270375510189113532561118107914442149242.99%2057563.41%5776155649.87%889182948.61%739154047.99%155779017977761605821
202178155003415335467-1323952601313155239-8439102402102180228-484733554487920691311316287077510131057412930991156315511888243.62%2449162.70%3798165748.16%700149346.89%748153848.63%154482216687491510734
20238253170243359638121541277011322891771124126100130130720410312359697315691018623616993190999109710862931331078123218352026632.67%1122974.11%9789158449.81%853166051.39%928175352.94%1770100116607231524796
202476313701142412348643816160013221715562381521010101951932754126631075508718613492135518822787282674834109612801946634.02%1525365.13%3674125353.79%826156252.88%726142251.05%146672815967091529820
202555222400225285289-427121100022138143-52810130020314714615528544072500721209131463388596471281715567109310231436041.96%1806464.44%450292054.57%521104150.05%603104557.70%108952511035301149606
Total Saison régulière45518120601023122324042271133227949802991512211120101228871080814381183115132452240438486252180594989799391506441905564522319616964570671428577115545839.65%109838764.75%294315852650.61%4678941449.69%4483883850.72%898546579625426589254601
Séries éliminatoires
20239540000045301553200000251694220000020146104579124001316160364118138108035810915618422522.73%18761.11%08718347.54%10521050.00%8916952.66%1871051858316885
Total Séries éliminatoires9540000045301553200000251694220000020146104579124001316160364118138108035810915618422522.73%18761.11%08718347.54%10521050.00%8916952.66%1871051858316885

Chicago Wolves 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
1Hudson Fasching9711180210184316.28%819221.34033300000048.21%01.8700
2Tyson Foerster9691531115113517.14%116218.06112300002054.50%01.8500
3Mitchell Stephens9481211920202218.18%215216.99022300001058.40%01.5700
4Jordan Harris92911801116229.09%1821724.1321320000000%01.0100
5Saku Maenalanen965113518131735.29%315517.33112200000023.53%01.4100

Chicago Wolves 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
1Daniel Vladar64200.9203.1835820192371361000
2Devin Cooley31110.9093.671800011121681000