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Chicago Wolves
GP: 3 | W: 1 | L: 2 | OTL: 0 | P: 2
GF: 8 | GA: 10 | PP%: 20.00% | PK%: 62.50%
DG: Christopher Dorion | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #70 vs San Diego Gulls

Centre de jeu
Lehigh Valley Phantoms
3-0-0, 6pts
3
FINAL
0 Chicago Wolves
1-2-0, 2pts
Team Stats
W2SéquenceL2
1-0-0Fiche domicile1-1-0
2-0-0Fiche domicile0-1-0
3-0-0Derniers 10 matchs1-2-0
3.67Buts par match 2.67
1.67Buts contre par match 3.33
12.50%Pourcentage en avantage numérique20.00%
84.62%Pourcentage en désavantage numérique62.50%
Chicago Wolves
1-2-0, 2pts
4
FINAL
6 San Jose Barracuda
3-0-0, 6pts
Team Stats
L2SéquenceW3
1-1-0Fiche domicile3-0-0
0-1-0Fiche domicile0-0-0
1-2-0Derniers 10 matchs3-0-0
2.67Buts par match 4.67
3.33Buts contre par match 2.00
20.00%Pourcentage en avantage numérique38.46%
62.50%Pourcentage en désavantage numérique87.50%
Chicago Wolves
1-2-0, 2pts
2025-10-16
San Diego Gulls
1-1-1, 3pts
Statistiques d’équipe
L2SéquenceW1
1-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-1-1
1-2-010 derniers matchs1-1-1
2.67Buts par match 2.00
3.33Buts contre par match 2.00
20.00%Pourcentage en avantage numérique25.00%
62.50%Pourcentage en désavantage numérique66.67%
Chicago Wolves
1-2-0, 2pts
2025-10-18
Ontario Reign
3-1-0, 6pts
Statistiques d’équipe
L2SéquenceL1
1-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur2-1-0
1-2-010 derniers matchs3-1-0
2.67Buts par match 7.75
3.33Buts contre par match 7.75
20.00%Pourcentage en avantage numérique38.46%
62.50%Pourcentage en désavantage numérique84.62%
Chicago Wolves
1-2-0, 2pts
2025-10-20
Henderson Silver Knights
2-2-0, 4pts
Statistiques d’équipe
L2SéquenceW2
1-1-0Fiche domicile0-1-0
0-1-0Fiche visiteur2-1-0
1-2-010 derniers matchs2-2-0
2.67Buts par match 4.25
3.33Buts contre par match 4.25
20.00%Pourcentage en avantage numérique9.09%
62.50%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Bo GroulxButs
Bo Groulx
1
Max JonesPasses
Max Jones
3
Max JonesPoints
Max Jones
3
Bo GroulxPlus/Moins
Bo Groulx
2
Ales StezkaVictoires
Ales Stezka
1
Ales StezkaPourcentage d’arrêts
Ales Stezka
0.907

Statistiques d’équipe
Buts pour
8
2.67 GFG
Tirs pour
128
42.67 Avg
Pourcentage en avantage numérique
20.0%
2 GF
Début de zone offensive
46.0%
Buts contre
10
3.33 GAA
Tirs contre
107
35.67 Avg
Pourcentage en désavantage numérique
62.5%%
3 GA
Début de la zone défensive
36.1%
Informations de l'équipe

Directeur généralChristopher Dorion
DivisionCentrale
ConférenceOuest
CapitaineChris Wagner
Assistant #1Adam Edstrom
Assistant #2Joe Hicketts


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 250
Espoirs21


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
1Adam Edstrom (A)XXX100.008653866299798063656061646265674740650231846,667$
2Max JonesXX100.0081537563878082625863626065686971406502621,000,000$
3Matthew HighmoreX100.006936946570798163676459685769703640650281775,000$
4Chris Wagner (C)X100.007543746373798062656064636276773140650331775,000$
5Matt RempeXX100.008786536699738263596161625864654940650221820,000$
6Bo Groulx (R)X100.007340786481847765736259686365676840640241775,000$
7Ryan SuzukiX100.006738896577788362746358626164667840640231775,000$
8Cam Lund (R)XXX100.006136896579786164706162636560617740630201750,000$
9Ivan IvanX100.006237886672768762656061636264654540630222845,000$
10Skyler Brind'AmourX100.006738876279848358665661596266684740630251775,000$
11Curtis DouglasX100.009082515799758255645756635665675840620242775,000$
12Marcel MarcelX100.008652745895677257555654595762645840610201750,000$
13Owen Pickering (R)X100.0075399364898173633060596650616382406402031,136,667$
14Michael Callahan (R)X100.006840856281808558306057614966685340630251775,000$
15Dysin MayoX100.006843665877718356305755594769714740610281950,000$
16Joe Hicketts (A)X100.005537806164687759306453554769743640610281775,000$
17Nicolas Mattinen (R)X100.008651895495706353305550594567694240600261775,000$
18Mitchell Vande SompelX100.006136955672627055305452534568705340590271750,000$
Rayé
1Zac Funk (R)XX100.0067417258768961575955565457626444405902131,033,333$
2Leo LoofX100.006641755476618353305750554563656340580222925,000$
MOYENNE D’ÉQUIPE100.00734680618276776053595861566668544063
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
1Ales Stezka100.00758176847473757473757468815540670271750,000$
2Jakub Skarek100.00748278897372747372747366756240660241775,000$
Rayé
1Kevin Mandolese100.00717975827069717069717065734740640241775,000$
MOYENNE D’ÉQUIPE100.0073817685727173727173726676554066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Max JonesChicago Wolves (CAR)LW/RW30330007316290%16521.9001156000040080.00%500000.9100000100
2Bo GroulxChicago Wolves (CAR)C31232002583512.50%14515.3300032000180047.62%4200001.3000000000
3Cam LundChicago Wolves (CAR)C/LW/RW31122003682312.50%04013.6300037000000061.11%1800000.9800000000
4Matthew HighmoreChicago Wolves (CAR)C3022-2200149390%05819.5001106000080060.53%7600000.6800000000
5Chris WagnerChicago Wolves (CAR)RW311202043521620.00%14515.0710138000000033.33%300000.8800000000
6Matt RempeChicago Wolves (CAR)C/RW3022020108143100%15618.71011020000000100.00%200000.7100000000
7Nicolas MattinenChicago Wolves (CAR)D311214010431333.33%55117.130000000000100%000000.7800000000
8Michael CallahanChicago Wolves (CAR)D31121202020250.00%95819.600000000006000%000000.6800000000
9Adam EdstromChicago Wolves (CAR)C/LW/RW30110002108650%05719.0300011000000048.05%7700000.3500000000
10Ivan IvanChicago Wolves (CAR)C310100022102210.00%23311.2200014000030016.67%600000.5900000000
11Skyler Brind'AmourChicago Wolves (CAR)C3011-100031050%0268.8601117000000057.89%1900000.7500000000
12Ryan SuzukiChicago Wolves (CAR)C3101-2001192511.11%03010.1700021000000068.75%1600000.6600000000
13Owen PickeringChicago Wolves (CAR)D3101-320103101410.00%117224.061014600006000%000000.2800000010
14Dysin MayoChicago Wolves (CAR)D30001201220020%04715.790000000006000%00000000000000
15Curtis DouglasChicago Wolves (CAR)C1000000010000%055.9300000000000033.33%60000000000000
16Joe HickettsChicago Wolves (CAR)D3000100111010%14816.310000000007000%00000000000000
17Ivan MiroshnichenkoCarolina HurricanesLW2000-120235250%03316.53000050000000100.00%30000000000000
18John LeonardCarolina HurricanesLW/RW2000-1005313150%13316.650002500000000%00000000000000
19Marcel MarcelChicago Wolves (CAR)LW1000000101000%077.120000000001000%10000000000000
20Mitchell Vande SompelChicago Wolves (CAR)D1000-300102030%12020.330002200000000%00000000000000
21Scott MorrowCarolina HurricanesD2000000243120%14522.840001500000000%00000000000000
Statistiques d’équipe totales ou en moyenne5481523-5180777612831966.25%3588416.3824628760001541054.38%27400000.5200000110
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
1Ales StezkaChicago Wolves (CAR)31200.9073.3318000101070000030000
Statistiques d’équipe totales ou en moyenne31200.9073.331800010107000030000


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
Adam EdstromChicago Wolves (CAR)C/LW/RW232000-10-12SWENo241 Lbs6 ft7NoNoAssign ManuallyNoNo12025-07-15FalseFalsePro & Farm846,667$0$0$No---------------------------Lien / Lien NHL
Ales StezkaChicago Wolves (CAR)G271997-01-06CZENo190 Lbs6 ft4NoNoTrade2025-08-24NoYes12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Bo GroulxChicago Wolves (CAR)C242000-02-06CANYes198 Lbs6 ft2NoNoTrade2025-09-11NoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Cam LundChicago Wolves (CAR)C/LW/RW202004-06-07USAYes195 Lbs6 ft2NoNoAssign ManuallyNoNo12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Chris WagnerChicago Wolves (CAR)RW331991-05-27USANo192 Lbs6 ft0NoNoTrade2025-07-18NoYes12024-09-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Curtis DouglasChicago Wolves (CAR)C242000-03-06CANNo235 Lbs6 ft9NoNoTrade2025-01-26NoYes22025-07-16FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Dysin MayoChicago Wolves (CAR)D281996-08-17CANNo183 Lbs6 ft2NoNoTrade2025-07-18NoYes1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Ivan IvanChicago Wolves (CAR)C222002-08-20CZENo190 Lbs6 ft0NoNoTrade2025-01-04NoNo22024-09-22FalseFalsePro & Farm845,000$0$0$No845,000$-----------------No--------Lien / Lien NHL
Jakub SkarekChicago Wolves (CAR)G241999-11-10CZENo211 Lbs6 ft4NoNoN/ANoYes12024-07-27FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Joe HickettsChicago Wolves (CAR)D281996-05-04CANNo180 Lbs5 ft8NoNoTrade2025-07-18NoYes12024-09-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Kevin MandoleseChicago Wolves (CAR)G242000-08-22CANNo180 Lbs6 ft4NoNoN/ANoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Leo LoofChicago Wolves (CAR)D222002-04-25SWENo176 Lbs6 ft2NoNoTrade2024-09-15NoNo22024-09-19FalseFalsePro & Farm925,000$0$0$No925,000$-----------------No--------Lien / Lien NHL
Marcel MarcelChicago Wolves (CAR)LW202003-10-31CZENo242 Lbs6 ft4NoNoDraftNoNo12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Matt RempeChicago Wolves (CAR)C/RW222002-06-29CANNo255 Lbs6 ft9NoNoProspectNoNo12025-07-16FalseFalsePro & Farm820,000$0$0$No---------------------------Lien / Lien NHL
Matthew HighmoreChicago Wolves (CAR)C281996-02-27CANNo186 Lbs5 ft11NoNoN/ANoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Max JonesChicago Wolves (CAR)LW/RW261998-02-17USANo216 Lbs6 ft3NoNoTrade2025-01-26NoYes22025-07-16FalseFalsePro & Farm1,000,000$0$0$No1,000,000$-----------------No--------Lien / Lien NHL
Michael CallahanChicago Wolves (CAR)D251999-09-23USAYes199 Lbs6 ft2NoNoTrade2025-09-11NoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Mitchell Vande SompelChicago Wolves (CAR)D271997-02-11CANNo198 Lbs5 ft11NoNoN/ANoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Nicolas MattinenChicago Wolves (CAR)D261998-03-05CANYes215 Lbs6 ft6NoNoTrade2025-09-11NoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Owen PickeringChicago Wolves (CAR)D202004-01-27CANYes200 Lbs6 ft5NoNoTrade2025-07-16NoNo32025-07-16FalseFalsePro & Farm1,136,667$0$0$No1,136,667$1,136,667$----------------NoNo-------Lien / Lien NHL
Ryan SuzukiChicago Wolves (CAR)C232001-05-28CANNo196 Lbs6 ft1NoNoTrade2025-01-24NoNo12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Skyler Brind'AmourChicago Wolves (CAR)C251999-07-27USANo195 Lbs6 ft2NoNoTrade2024-09-18NoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Zac FunkChicago Wolves (CAR)LW/RW212003-07-20CANYes210 Lbs6 ft0NoNoAssign ManuallyNoNo32025-07-16FalseFalsePro & Farm1,033,333$0$0$No1,033,333$1,033,333$----------------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.43204 Lbs6 ft31.35829,638$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesAdam EdstromMatt Rempe40122
2Ryan SuzukiMatthew HighmoreChris Wagner30122
3Cam LundBo GroulxIvan Ivan20122
4Marcel MarcelCurtis DouglasSkyler Brind'Amour10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitchell Vande SompelOwen Pickering40122
2Michael CallahanNicolas Mattinen30122
3Dysin MayoJoe Hicketts20122
4Mitchell Vande SompelOwen Pickering10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bo GroulxCam LundAdam Edstrom60122
2Max JonesSkyler Brind'AmourMatt Rempe40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WagnerMitchell Vande Sompel60122
2Matthew HighmoreOwen Pickering40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew HighmoreBo Groulx60122
2Marcel MarcelMax Jones40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael CallahanOwen Pickering60122
2Dysin MayoJoe Hicketts40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Highmore60122Michael CallahanOwen Pickering60122
2Bo Groulx40122Dysin MayoJoe Hicketts40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew HighmoreBo Groulx60122
2Matt RempeChris Wagner40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael CallahanOwen Pickering60122
2Dysin MayoJoe Hicketts40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bo GroulxMatthew HighmoreChris WagnerMichael CallahanOwen Pickering
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bo GroulxMatthew HighmoreChris WagnerMichael CallahanOwen Pickering
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Edstrom, Ryan Suzuki, Bo GroulxBo Groulx, Ryan SuzukiBo Groulx
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Hicketts, Michael Callahan, Nicolas MattinenJoe HickettsJoe Hicketts, Michael Callahan
Tirs de pénalité
Bo Groulx, Chris Wagner, Ryan Suzuki, Matthew Highmore, Adam Edstrom
Gardien
#1 : Ales Stezka, #2 : Jakub Skarek


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
1Lehigh Valley Phantoms1010000003-31010000003-30000000000000.0000000041303344404402812629300.00%3166.67%07012655.56%589958.59%214942.86%785663203819
2San Jose Barracuda1010000046-2000000000001010000046-200.000471100413036444044050146303133.33%3166.67%07012655.56%589958.59%214942.86%785663203819
3Utica Comets11000000413110000004130000000000021.00048120041305944404402996184125.00%2150.00%07012655.56%589958.59%214942.86%785663203819
Total31200000810-2211000004401010000046-220.33381523004130128444044010735187710220.00%8362.50%07012655.56%589958.59%214942.86%785663203819
_Since Last GM Reset31200000810-2211000004401010000046-220.33381523004130128444044010735187710220.00%8362.50%07012655.56%589958.59%214942.86%785663203819
_Vs Conference1010000046-2000000000001010000046-200.000471100413036444044050146303133.33%3166.67%07012655.56%589958.59%214942.86%785663203819
_Vs Division1000000046-2000000000001000000046-200.000471100413036444044050146303133.33%3166.67%07012655.56%589958.59%214942.86%785663203819

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
32L28152312810735187700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3120000810
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000044
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000046
Derniers 10 matchs
WLOTWOTL SOWSOL
120000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10220.00%8362.50%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
44404404130
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
7012655.56%589958.59%214942.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
785663203819


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
3 - 2025-10-0914Utica Comets1Chicago Wolves4WSommaire du match
5 - 2025-10-1130Lehigh Valley Phantoms3Chicago Wolves0LSommaire du match
8 - 2025-10-1455Chicago Wolves4San Jose Barracuda6LSommaire du match
10 - 2025-10-1670Chicago Wolves-San Diego Gulls-
12 - 2025-10-1886Chicago Wolves-Ontario Reign-
14 - 2025-10-2097Chicago Wolves-Henderson Silver Knights-
17 - 2025-10-23121Chicago Wolves-Colorado Eagles-
19 - 2025-10-25138Chicago Wolves-Texas Stars-
22 - 2025-10-28155Henderson Silver Knights-Chicago Wolves-
24 - 2025-10-30171Bridgeport Islanders-Chicago Wolves-
26 - 2025-11-01181Chicago Wolves-Providence Bruins-
29 - 2025-11-04206Chicago Wolves-Hartford Wolf Pack-
31 - 2025-11-06222Iowa Wild-Chicago Wolves-
33 - 2025-11-08238Rochester Americans-Chicago Wolves-
34 - 2025-11-09246Chicago Wolves-Toronto Marlies-
36 - 2025-11-11259Hershey Bears-Chicago Wolves-
39 - 2025-11-14279Abbotsford Canucks-Chicago Wolves-
40 - 2025-11-15289Bakersfield Condors-Chicago Wolves-
42 - 2025-11-17301Chicago Wolves-Providence Bruins-
44 - 2025-11-19317Chicago Wolves-Iowa Wild-
46 - 2025-11-21333Chicago Wolves-Manitoba Moose-
48 - 2025-11-23347Chicago Wolves-Rochester Americans-
51 - 2025-11-26368Hartford Wolf Pack-Chicago Wolves-
53 - 2025-11-28387Manitoba Moose-Chicago Wolves-
55 - 2025-11-30404Calgary Wranglers-Chicago Wolves-
59 - 2025-12-04431Toronto Marlies-Chicago Wolves-
61 - 2025-12-06447Milwaukee Admirals-Chicago Wolves-
62 - 2025-12-07455San Jose Barracuda-Chicago Wolves-
64 - 2025-12-09471Cleveland Monsters-Chicago Wolves-
66 - 2025-12-11485Chicago Wolves-Hershey Bears-
68 - 2025-12-13501Chicago Wolves-Lehigh Valley Phantoms-
69 - 2025-12-14510Lehigh Valley Phantoms-Chicago Wolves-
72 - 2025-12-17532Chicago Wolves-Milwaukee Admirals-
74 - 2025-12-19544Chicago Wolves-Charlotte Checkers-
75 - 2025-12-20557Chicago Wolves-Syracuse Crunch-
78 - 2025-12-23581Charlotte Checkers-Chicago Wolves-
82 - 2025-12-27593Grand Rapids Griffins-Chicago Wolves-
84 - 2025-12-29608Hartford Wolf Pack-Chicago Wolves-
85 - 2025-12-30619Chicago Wolves-Wilkes-Barre Scranton Penguins-
87 - 2026-01-01636Laval Rocket-Chicago Wolves-
89 - 2026-01-03653Colorado Eagles-Chicago Wolves-
90 - 2026-01-04660Chicago Wolves-Utica Comets-
92 - 2026-01-06671Texas Stars-Chicago Wolves-
94 - 2026-01-08688San Diego Gulls-Chicago Wolves-
96 - 2026-01-10706Coachella Firebirds-Chicago Wolves-
98 - 2026-01-12717Chicago Wolves-Grand Rapids Griffins-
99 - 2026-01-13730Chicago Wolves-Springfield Thunderbirds-
102 - 2026-01-16750Charlotte Checkers-Chicago Wolves-
103 - 2026-01-17759Chicago Wolves-Utica Comets-
105 - 2026-01-19770Rochester Americans-Chicago Wolves-
108 - 2026-01-22796Rockford IceHogs-Chicago Wolves-
110 - 2026-01-24813Chicago Wolves-Belleville Senators-
115 - 2026-01-29851Tucson Roadrunners-Chicago Wolves-
117 - 2026-01-31864Chicago Wolves-Hershey Bears-
118 - 2026-02-01874Ontario Reign-Chicago Wolves-
120 - 2026-02-03890Belleville Senators-Chicago Wolves-
122 - 2026-02-05906Chicago Wolves-Hartford Wolf Pack-
143 - 2026-02-26923Syracuse Crunch-Chicago Wolves-
145 - 2026-02-28942Grand Rapids Griffins-Chicago Wolves-
147 - 2026-03-02957Chicago Wolves-Coachella Firebirds-
149 - 2026-03-04972Chicago Wolves-Abbotsford Canucks-
151 - 2026-03-06986Chicago Wolves-Bakersfield Condors-
152 - 2026-03-07998Chicago Wolves-Calgary Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101018Wilkes-Barre Scranton Penguins-Chicago Wolves-
157 - 2026-03-121033Springfield Thunderbirds-Chicago Wolves-
159 - 2026-03-141049Chicago Wolves-Syracuse Crunch-
162 - 2026-03-171070Chicago Wolves-Cleveland Monsters-
163 - 2026-03-181078Wilkes-Barre Scranton Penguins-Chicago Wolves-
165 - 2026-03-201094Chicago Wolves-Toronto Marlies-
167 - 2026-03-221112Chicago Wolves-Wilkes-Barre Scranton Penguins-
169 - 2026-03-241121Chicago Wolves-Laval Rocket-
173 - 2026-03-281157Utica Comets-Chicago Wolves-
174 - 2026-03-291169Laval Rocket-Chicago Wolves-
176 - 2026-03-311185Chicago Wolves-Cleveland Monsters-
178 - 2026-04-021197Cleveland Monsters-Chicago Wolves-
180 - 2026-04-041214Bridgeport Islanders-Chicago Wolves-
181 - 2026-04-051225Chicago Wolves-Belleville Senators-
183 - 2026-04-071237Providence Bruins-Chicago Wolves-
185 - 2026-04-091255Chicago Wolves-Rockford IceHogs-
187 - 2026-04-111269Chicago Wolves-Tucson Roadrunners-
189 - 2026-04-131284Chicago Wolves-Lehigh Valley Phantoms-
190 - 2026-04-141293Chicago Wolves-Bridgeport Islanders-



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
7 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
492,185$ 9,540,834$ 9,540,834$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 492,185$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 183 49,692$ 9,093,636$




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

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

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

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

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