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

Chicago Wolves
GP: 47 | W: 27 | L: 17 | OTL: 3 | P: 57
GF: 202 | GA: 153 | PP%: 24.48% | PK%: 75.43%
DG: Christopher Dorion | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #750 vs Charlotte Checkers

Centre de jeu
Chicago Wolves
27-17-3, 57pts
5
6 Grand Rapids Griffins
24-19-5, 53pts
Team Stats
W1SéquenceL1
17-7-1Fiche domicile13-10-2
10-10-2Fiche domicile11-9-3
6-3-1Derniers 10 matchs4-4-2
4.30Buts par match 4.65
3.26Buts contre par match 4.04
24.48%Pourcentage en avantage numérique28.80%
75.43%Pourcentage en désavantage numérique73.44%
Chicago Wolves
27-17-3, 57pts
5
3 Springfield Thunderbirds
14-31-2, 30pts
Team Stats
W1SéquenceL3
17-7-1Fiche domicile8-16-1
10-10-2Fiche domicile6-15-1
6-3-1Derniers 10 matchs2-8-0
4.30Buts par match 3.28
3.26Buts contre par match 4.96
24.48%Pourcentage en avantage numérique17.97%
75.43%Pourcentage en désavantage numérique71.93%
Charlotte Checkers
22-16-7, 51pts
2026-01-16
Chicago Wolves
27-17-3, 57pts
Statistiques d’équipe
L1SéquenceW1
16-7-3Fiche domicile17-7-1
6-9-4Fiche visiteur10-10-2
2-5-310 derniers matchs6-3-1
4.13Buts par match 4.30
3.53Buts contre par match 4.30
26.72%Pourcentage en avantage numérique24.48%
84.47%Pourcentage en désavantage numérique75.43%
Chicago Wolves
27-17-3, 57pts
2026-01-17
Utica Comets
28-17-2, 58pts
Statistiques d’équipe
W1SéquenceL1
17-7-1Fiche domicile13-8-1
10-10-2Fiche visiteur15-9-1
6-3-110 derniers matchs8-2-0
4.30Buts par match 4.38
3.26Buts contre par match 4.38
24.48%Pourcentage en avantage numérique25.81%
75.43%Pourcentage en désavantage numérique73.24%
Rochester Americans
35-11-0, 70pts
2026-01-19
Chicago Wolves
27-17-3, 57pts
Statistiques d’équipe
W1SéquenceW1
17-7-0Fiche domicile17-7-1
18-4-0Fiche visiteur10-10-2
8-2-010 derniers matchs6-3-1
4.85Buts par match 4.30
2.54Buts contre par match 4.30
24.14%Pourcentage en avantage numérique24.48%
79.70%Pourcentage en désavantage numérique75.43%
Meneurs d'équipe
Adam EdstromButs
Adam Edstrom
26
Matthew HighmorePasses
Matthew Highmore
39
Matthew HighmorePoints
Matthew Highmore
59
Michael CallahanPlus/Moins
Michael Callahan
35
Ales StezkaVictoires
Ales Stezka
26
Jakub SkarekPourcentage d’arrêts
Jakub Skarek
0.979

Statistiques d’équipe
Buts pour
202
4.30 GFG
Tirs pour
2076
44.17 Avg
Pourcentage en avantage numérique
24.5%
35 GF
Début de zone offensive
44.1%
Buts contre
153
3.26 GAA
Tirs contre
1468
31.23 Avg
Pourcentage en désavantage numérique
75.4%%
43 GA
Début de la zone défensive
37.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 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 EdstromXXX100.008653866299798063656061646265674740650231846,667$
2Matthew HighmoreX100.006936946570798163676459685769703640650281775,000$
3Chris Wagner (C)X100.007543746373798062656064636276773140650331775,000$
4Matt RempeXX100.008786536699738263596161625864654940650221820,000$
5Bo Groulx (R)X100.007340786481847765736259686365676840640241775,000$
6Bradly Nadeau (R)X100.006137836768847266626764636861638040640193918,333$
7Ryan SuzukiX100.006738896577788362746358626164667840640231775,000$
8Cam Lund (R)XXX100.006136896579786164706162636560617740630201750,000$
9Ivan IvanX100.006237886672768762656061636264654540630222845,000$
10Skyler Brind'AmourX100.006738876279848358665661596266684740630251775,000$
11Curtis DouglasX100.009082515799758255645756635665675840620242775,000$
12Luke Tuch (R)X100.007641735885756856525554595663657240600222925,000$
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’ÉQUIPE100.00714580618176776053595861566567554062
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
1Matthew HighmoreChicago Wolves (CAR)C47203959204019179219531489.13%14104122.15610163910600031803056.52%148100011.1312000242
2Bo GroulxChicago Wolves (CAR)C4724335728160521152307214010.43%2797520.75491344120101131792158.84%83100001.1725000333
3Adam EdstromChicago Wolves (CAR)C/LW/RW442625512612061711935013313.47%1087319.854610241080002342254.29%17500021.1702000334
4Matt RempeChicago Wolves (CAR)C/RW4414324628581016747173341318.09%372416.4802226000000259.18%4900011.2711110411
5Owen PickeringChicago Wolves (CAR)D471630461932010860117375813.68%71108723.14841244104000198200%000000.8500000172
6Ryan SuzukiChicago Wolves (CAR)C4792534-240477214340946.29%969314.75371024104000002054.72%58300000.9803000220
7Michael CallahanChicago Wolves (CAR)D479253435280793559183615.25%73101121.5224610410005150100%000000.6700000123
8Chris WagnerChicago Wolves (CAR)RW47151732182408961178561348.43%1181317.3011228115000002144.19%4300000.7925000202
9Cam LundChicago Wolves (CAR)C/LW/RW471415299603453166401138.43%165513.95145311250002122257.79%28900000.8802000100
10Ivan IvanChicago Wolves (CAR)C47131427101003447126368910.32%865013.8416730941016743245.73%16400020.8301000311
11Ivan MiroshnichenkoCarolina HurricanesLW2981523158022339630818.33%443515.02000420000021162.86%3500001.0601000210
12Dysin MayoChicago Wolves (CAR)D47216181260013324265257.69%7786218.35011120111116000%000000.4200000010
13Joe HickettsChicago Wolves (CAR)D472141625804138268167.69%5592619.71000080002134100%000000.3500000000
14Nicolas MattinenChicago Wolves (CAR)D472141616380962020142110.00%3867514.360000000009100%000000.4700000001
15Skyler Brind'AmourChicago Wolves (CAR)C475101564015436114468.20%43948.40011230000001154.88%43000000.7611000002
16Curtis DouglasChicago Wolves (CAR)C45841213210982955154414.55%64459.9043712820000641155.73%19200000.5400101110
17Scott MorrowCarolina HurricanesD224711-3200373027132914.81%3046921.33123830000046000%000000.4700000010
18Max JonesCarolina HurricanesLW/RW7178140196375202.70%214821.2603311210000110170.59%1700001.0800000100
19Bradly NadeauChicago Wolves (CAR)LW82570004103513375.71%116320.44011415000010058.33%1200000.8601000001
20Luke TuchChicago Wolves (CAR)LW45257-610027314712374.26%43808.45000219000000034.78%2300000.3700000000
21Zac FunkChicago Wolves (CAR)LW/RW1131450005160618.75%1726.5600000000000075.00%400001.1100000000
22Leo LoofChicago Wolves (CAR)D4022240632160%26716.8900011601102000%000000.5900000000
23Mitchell Vande SompelChicago Wolves (CAR)D2110178013318695.56%1835817.05000639000017000%000000.0600000000
24John LeonardCarolina HurricanesLW/RW2000-1005313150%13316.650002500000000%00000000000000
Statistiques d’équipe totales ou en moyenne8462003555552713902012061018208357314589.60%4701395816.503564993291218224351137241456.03%432800060.80724211262722
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)47261730.8963.2227622114814190120.75020470004
2Jakub SkarekChicago Wolves (CAR)21000.9790.7185001470000.6673047000
Statistiques d’équipe totales ou en moyenne49271730.8983.142847211491466012234747004


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
Bradly NadeauChicago Wolves (CAR)LW192005-05-05CANYes172 Lbs5 ft11NoNoTrade2026-01-01NoNo32025-07-16FalseFalsePro & Farm918,333$0$0$No918,333$918,333$----------------NoNo-------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
Luke TuchChicago Wolves (CAR)LW222002-03-07USAYes209 Lbs6 ft3NoNoTrade2025-10-30NoNo22025-07-16FalseFalsePro & Farm925,000$0$0$No925,000$-----------------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
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
2324.22200 Lbs6 ft21.43833,696$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bradly NadeauRyan SuzukiChris Wagner40122
2Adam EdstromBo GroulxMatt Rempe30122
3Cam LundMatthew HighmoreIvan Ivan20122
4Luke TuchSkyler Brind'AmourCurtis Douglas10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PickeringMichael Callahan40122
2Dysin MayoJoe Hicketts30122
3Mitchell Vande SompelNicolas Mattinen20122
4Dysin MayoJoe Hicketts10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bo GroulxCam LundAdam Edstrom60122
2Curtis DouglasIvan IvanRyan Suzuki40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bradly NadeauMitchell Vande Sompel60122
2Matthew HighmoreOwen Pickering40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew HighmoreBo Groulx60122
2Curtis DouglasIvan Ivan40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PickeringMichael Callahan60122
2Dysin MayoJoe Hicketts40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Highmore60122Owen PickeringMichael Callahan60122
2Bo Groulx40122Dysin MayoJoe Hicketts40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew HighmoreBo Groulx60122
2Cam LundChris Wagner40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PickeringMichael Callahan60122
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
Cam Lund, 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
Bradly Nadeau, Chris Wagner, Bo Groulx, Adam Edstrom, Cam Lund
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
1Abbotsford Canucks1010000024-21010000024-20000000000000.000246008466488286697146773931813333133.33%3166.67%01071191455.96%911160556.76%44782254.38%12278731021331599308
2Bakersfield Condors11000000413110000004130000000000021.00046100084664889266971467739119020000%000%01071191455.96%911160556.76%44782254.38%12278731021331599308
3Bridgeport Islanders110000001101111000000110110000000000021.000111930018466488676697146773923109244125.00%20100.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
4Calgary Wranglers1010000035-21010000035-20000000000000.000369008466488386697146773941261421100.00%7185.71%01071191455.96%911160556.76%44782254.38%12278731021331599308
5Charlotte Checkers2010100057-2100010004311010000014-320.50051015008466488856697146773980252651000%13284.62%01071191455.96%911160556.76%44782254.38%12278731021331599308
6Cleveland Monsters1010000024-21010000024-20000000000000.0002460084664883266971467739238619400.00%30100.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
7Coachella Firebirds1010000025-31010000025-30000000000000.000235008466488316697146773932106194125.00%3166.67%01071191455.96%911160556.76%44782254.38%12278731021331599308
8Colorado Eagles22000000624110000003121100000031241.000611170084664887366971467739481514424250.00%50100.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
9Grand Rapids Griffins2100000111101110000006421000000156-130.7501122330084664889666971467739863310705240.00%5340.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
10Hartford Wolf Pack330000001477220000009451100000053261.000142438008466488115669714677398520188812325.00%9366.67%01071191455.96%911160556.76%44782254.38%12278731021331599308
11Henderson Silver Knights22000000963110000005411100000042241.0009162500846648896669714677396319206413215.38%10280.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
12Hershey Bears210001008801000010045-11100000043130.750813210084664887966971467739671520573133.33%10190.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
13Iowa Wild220000001931611000000131121100000062441.00019335200846648813066971467739499104411100.00%5260.00%11071191455.96%911160556.76%44782254.38%12278731021331599308
14Laval Rocket10000010541100000105410000000000021.0005611008466488336697146773930168195360.00%40100.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
15Lehigh Valley Phantoms30300000612-62020000048-41010000024-200.0006101600846648897669714677399634317411327.27%12741.67%01071191455.96%911160556.76%44782254.38%12278731021331599308
16Manitoba Moose21000010844110000005231000001032141.0008132100846648810966971467739832016402150.00%80100.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
17Milwaukee Admirals210000011073110000007341000000134-130.7501019290084664881006697146773945251849700.00%8450.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
18Ontario Reign1010000015-4000000000001010000015-400.0001230084664883666971467739351510228112.50%5260.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
19Providence Bruins2020000048-4000000000002020000048-400.00048121084664886266971467739531412521000.00%50100.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
20Rochester Americans2020000038-51010000014-31010000024-200.000369108466488696697146773971231654700.00%7271.43%01071191455.96%911160556.76%44782254.38%12278731021331599308
21San Diego Gulls21100000761110000003121010000045-120.500713200084664887066971467739701322567228.57%11281.82%01071191455.96%911160556.76%44782254.38%12278731021331599308
22San Jose Barracuda2110000010100110000006421010000046-220.5001018280084664888766971467739843023538225.00%9277.78%01071191455.96%911160556.76%44782254.38%12278731021331599308
23Springfield Thunderbirds11000000532000000000001100000053221.000591400846648857669714677392661017100.00%5260.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
24Syracuse Crunch11000000532000000000001100000053221.0005101500846648846669714677392876253266.67%30100.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
25Texas Stars2200000023419110000001239110000001111041.00023426500846648814566971467739529125222100.00%60100.00%11071191455.96%911160556.76%44782254.38%12278731021331599308
26Toronto Marlies210000101073110000006421000001043141.0001014240084664887466971467739652314598225.00%7185.71%01071191455.96%911160556.76%44782254.38%12278731021331599308
27Utica Comets21100000761110000004131010000035-220.500713200084664889366971467739592014417228.57%6350.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
28Wilkes-Barre Scranton Penguins1010000024-2000000000001010000024-200.00024600846648836669714677393278253133.33%4250.00%01071191455.96%911160556.76%44782254.38%12278731021331599308
Total472317011322021534925157011101217546228100002281783570.606202358560218466488207666971467739146846938611901433524.48%1754375.43%21071191455.96%911160556.76%44782254.38%12278731021331599308
_Since Last GM Reset472317011322021534925157011101217546228100002281783570.606202358560218466488207666971467739146846938611901433524.48%1754375.43%21071191455.96%911160556.76%44782254.38%12278731021331599308
_Vs Conference231460001211572431310300000713833104300012443410320.696115208323008466488113166971467739730241188585651726.15%852076.47%21071191455.96%911160556.76%44782254.38%12278731021331599308
_Vs Division1170000123842-47500000025241420000121318-5180.81838681060084664884786697146773936713010828844920.45%481177.08%01071191455.96%911160556.76%44782254.38%12278731021331599308

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4757W120235856020761468469386119021
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4723171132202153
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25157111012175
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2281000228178
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1433524.48%1754375.43%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
669714677398466488
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
1071191455.96%911160556.76%44782254.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12278731021331599308


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 Wolves4San Diego Gulls5LSommaire du match
12 - 2025-10-1886Chicago Wolves1Ontario Reign5LSommaire du match
14 - 2025-10-2097Chicago Wolves4Henderson Silver Knights2WSommaire du match
17 - 2025-10-23121Chicago Wolves3Colorado Eagles1WSommaire du match
19 - 2025-10-25138Chicago Wolves11Texas Stars1WSommaire du match
22 - 2025-10-28155Henderson Silver Knights4Chicago Wolves5WSommaire du match
24 - 2025-10-30171Bridgeport Islanders0Chicago Wolves11WSommaire du match
26 - 2025-11-01181Chicago Wolves1Providence Bruins3LSommaire du match
29 - 2025-11-04206Chicago Wolves5Hartford Wolf Pack3WSommaire du match
31 - 2025-11-06222Iowa Wild1Chicago Wolves13WSommaire du match
33 - 2025-11-08238Rochester Americans4Chicago Wolves1LSommaire du match
34 - 2025-11-09246Chicago Wolves4Toronto Marlies3WXXSommaire du match
36 - 2025-11-11259Hershey Bears5Chicago Wolves4LXSommaire du match
39 - 2025-11-14279Abbotsford Canucks4Chicago Wolves2LSommaire du match
40 - 2025-11-15289Bakersfield Condors1Chicago Wolves4WSommaire du match
42 - 2025-11-17301Chicago Wolves3Providence Bruins5LSommaire du match
44 - 2025-11-19317Chicago Wolves6Iowa Wild2WSommaire du match
46 - 2025-11-21333Chicago Wolves3Manitoba Moose2WXXSommaire du match
48 - 2025-11-23347Chicago Wolves2Rochester Americans4LSommaire du match
51 - 2025-11-26368Hartford Wolf Pack3Chicago Wolves4WSommaire du match
53 - 2025-11-28387Manitoba Moose2Chicago Wolves5WSommaire du match
55 - 2025-11-30404Calgary Wranglers5Chicago Wolves3LSommaire du match
59 - 2025-12-04431Toronto Marlies4Chicago Wolves6WSommaire du match
61 - 2025-12-06447Milwaukee Admirals3Chicago Wolves7WSommaire du match
62 - 2025-12-07455San Jose Barracuda4Chicago Wolves6WSommaire du match
64 - 2025-12-09471Cleveland Monsters4Chicago Wolves2LSommaire du match
66 - 2025-12-11485Chicago Wolves4Hershey Bears3WSommaire du match
68 - 2025-12-13501Chicago Wolves2Lehigh Valley Phantoms4LSommaire du match
69 - 2025-12-14510Lehigh Valley Phantoms5Chicago Wolves4LSommaire du match
72 - 2025-12-17532Chicago Wolves3Milwaukee Admirals4LXXSommaire du match
74 - 2025-12-19544Chicago Wolves1Charlotte Checkers4LSommaire du match
75 - 2025-12-20557Chicago Wolves5Syracuse Crunch3WSommaire du match
78 - 2025-12-23581Charlotte Checkers3Chicago Wolves4WXSommaire du match
82 - 2025-12-27593Grand Rapids Griffins4Chicago Wolves6WSommaire du match
84 - 2025-12-29608Hartford Wolf Pack1Chicago Wolves5WSommaire du match
85 - 2025-12-30619Chicago Wolves2Wilkes-Barre Scranton Penguins4LSommaire du match
87 - 2026-01-01636Laval Rocket4Chicago Wolves5WXXSommaire du match
89 - 2026-01-03653Colorado Eagles1Chicago Wolves3WSommaire du match
90 - 2026-01-04660Chicago Wolves3Utica Comets5LSommaire du match
92 - 2026-01-06671Texas Stars3Chicago Wolves12WSommaire du match
94 - 2026-01-08688San Diego Gulls1Chicago Wolves3WSommaire du match
96 - 2026-01-10706Coachella Firebirds5Chicago Wolves2LSommaire du match
98 - 2026-01-12717Chicago Wolves5Grand Rapids Griffins6LXXSommaire du match
99 - 2026-01-13730Chicago Wolves5Springfield Thunderbirds3WSommaire du match
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
-16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
5,223,156$ 9,587,500$ 9,587,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 5,223,156$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 91 49,935$ 4,544,085$




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