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Chicago Wolves
GP: 31 | W: 15 | L: 16 | OTL: 0 | P: 30
GF: 95 | GA: 101 | PP%: 25.00% | PK%: 77.27%
DG: Xavier Berard | Morale : 42 | Moyenne d’équipe : 63
Prochains matchs #510 vs Phantoms

Centre de jeu
Chicago Wolves
15-16-0, 30pts
4
2 Bears
17-8-7, 41pts
Team Stats
W2SéquenceW1
6-10-0Fiche domicile10-5-2
9-6-0Fiche domicile7-3-5
6-4-0Derniers 10 matchs5-3-2
3.06Buts par match 3.97
3.26Buts contre par match 3.53
25.00%Pourcentage en avantage numérique23.42%
77.27%Pourcentage en désavantage numérique81.48%
Chicago Wolves
15-16-0, 30pts
4
3 Phantoms
14-15-1, 29pts
Team Stats
W2SéquenceL4
6-10-0Fiche domicile8-10-1
9-6-0Fiche domicile6-5-0
6-4-0Derniers 10 matchs4-6-0
3.06Buts par match 3.53
3.26Buts contre par match 3.33
25.00%Pourcentage en avantage numérique24.14%
77.27%Pourcentage en désavantage numérique75.56%
Phantoms
14-15-1, 29pts
2025-12-14
Chicago Wolves
15-16-0, 30pts
Statistiques d’équipe
L4SéquenceW2
8-10-1Fiche domicile6-10-0
6-5-0Fiche visiteur9-6-0
4-6-010 derniers matchs6-4-0
3.53Buts par match 3.06
3.33Buts contre par match 3.06
24.14%Pourcentage en avantage numérique25.00%
75.56%Pourcentage en désavantage numérique77.27%
Chicago Wolves
15-16-0, 30pts
2025-12-17
Admirals
18-10-3, 39pts
Statistiques d’équipe
W2SéquenceL1
6-10-0Fiche domicile10-6-2
9-6-0Fiche visiteur8-4-1
6-4-010 derniers matchs8-2-0
3.06Buts par match 3.35
3.26Buts contre par match 3.35
25.00%Pourcentage en avantage numérique18.49%
77.27%Pourcentage en désavantage numérique80.70%
Chicago Wolves
15-16-0, 30pts
2025-12-19
Charlotte Checkers
9-19-3, 21pts
Statistiques d’équipe
W2SéquenceW1
6-10-0Fiche domicile6-10-2
9-6-0Fiche visiteur3-9-1
6-4-010 derniers matchs2-6-2
3.06Buts par match 2.94
3.26Buts contre par match 2.94
25.00%Pourcentage en avantage numérique22.43%
77.27%Pourcentage en désavantage numérique81.06%
Meneurs d'équipe
Gerry MayhewButs
Gerry Mayhew
12
Scott MorrowPasses
Scott Morrow
16
Gerry MayhewPoints
Gerry Mayhew
25
Andreas EnglundPlus/Moins
Andreas Englund
8
Michael DipietroVictoires
Michael Dipietro
13
Michael DipietroPourcentage d’arrêts
Michael Dipietro
0.909

Statistiques d’équipe
Buts pour
95
3.06 GFG
Tirs pour
1021
32.94 Avg
Pourcentage en avantage numérique
25.0%
25 GF
Début de zone offensive
40.5%
Buts contre
101
3.26 GAA
Tirs contre
1065
34.35 Avg
Pourcentage en désavantage numérique
77.3%%
35 GA
Début de la zone défensive
41.5%
Informations de l'équipe

Directeur généralXavier Berard
EntraîneurRyan Parent
DivisionMetropolitan
ConférenceEastern Conference
CapitaineJordan Harris
Assistant #1Caedan Bankier
Assistant #2Nathan Gaucher


Informations de l’aréna

Capacité3,000
Assistance2,771
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 55
Espoirs7


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
1Brett Murray0XX100.008274836295788363686062646167690506502831,000,000$
2Garrett Pilon0X100.006439826373828462706662606367720506402831,000,000$
3Tanner Laczynski0X100.006638846578847866726364626668700506402931,000,000$
4Gerry Mayhew0XXX100.006137826365848362686160626373750506303331,000,000$
5Jake Leschyshyn0XX100.006538816372738262676063646266680506302731,000,000$
6Jake Wise0XX100.005937886268798063676263616065670506302631,000,000$
7Garrett Wilson0XX100.007872505587768356625762595674790506203531,000,000$
8Caedan Bankier (A)0X100.007040845979848257635662555962640506102311,000,000$
9Nathan Gaucher (A)0XX100.007650695885738455625661595862640506102211,000,000$
10Wilmer Skoog0X100.007140805980868257635660585766680506102731,000,000$
11Anthony Vincent0XX100.006342665872807657595560545867700506002931,000,000$
12Jacob Quillan (R)0XX100.006838835878777356665759595663650506002431,000,000$
13Brandt Clarke0X100.00684177738086876930766266536365042670231925,000$
14Adam Boqvist0X100.006035957371877270307562645366680346602631,000,000$
15Jordan Harris (C)0X100.00643490667086766330716272526667054650261925,000$
16Andreas Englund0X100.008073696386828358306657674669710466403031,000,000$
17Scott Morrow (R)0X100.007041786782867266306860645263650506402311,000,000$
18Matthew Robertson0X100.007642746189858459306060624964660506302531,000,000$
Rayé
1Donovan Sebrango0X100.00704460618574765930585960526365041610241999,999$
2Tobie Paquette-Bisson0X100.007340815682658455305758584668700206102931,000,000$
3Cade Webber (R)0X100.008953815898637056305456614564660406102531,000,000$
4Corson Ceulemans0X100.00714084588071745630555757456264020600231925,000$
5Zachary Hayes0X100.007844695687636855305457584566680206002731,000,000$
6Jakub Dvorak (R)0X100.008142815590626854305254574560620205902111,000,000$
7Tyrel Bauer0X100.007656615485648153305255564563650205802431,000,000$
MOYENNE D’ÉQUIPE100.0071457761817779604760606154656804262
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
1Michael Dipietro0100.00798480747877797877797866750526802731,000,000$
2Dennis Hildeby0100.0077868298767577767577766471057670251999,999$
Rayé
1Cooper Black0100.0073747098727173727173726471024640251950,000$
2Waltteri Ignatjew0100.00717672837069717069717066750246302631,000,000$
MOYENNE D’ÉQUIPE100.007580768874737574737574657303966
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Parent67686569595587CAN3832,500,000$


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
1Gerry MayhewChicago Wolves (CAR)C/LW/RW311213250260474693226412.90%667621.8116714720002782058.28%15100000.7402000021
2Garrett PilonChicago Wolves (CAR)C31815230180548874175710.81%452516.9400000000001053.67%68200000.8813000212
3Tanner LaczynskiChicago Wolves (CAR)C3181523100137711138837.21%358118.77371028860001810053.55%77500000.7923000102
4Scott MorrowChicago Wolves (CAR)D31716233300865169183710.14%4975724.43551038880000106110%000000.6100000402
5Jordan HarrisChicago Wolves (CAR)D3051419-322034745918518.47%6072024.0134729640003117020%000100.5300000211
6Jake WiseChicago Wolves (CAR)C/LW3181018-30031299528888.42%559219.101231471000001066.67%4500000.6100000011
7Andreas EnglundChicago Wolves (CAR)D315121785810100396018338.33%5669422.3934738790000116000%000000.4900110130
8Brett MurrayChicago Wolves (CAR)LW/RW3151217-420065477521626.67%953817.38268228900021490055.81%4300000.6300000011
9Jake LeschyshynChicago Wolves (CAR)C/LW315101550016577521516.67%1155417.900000000091530054.62%36800000.5411000000
10Matthew RobertsonChicago Wolves (CAR)D3151015-1340482741103812.20%2257618.603251360000032100%000000.5200000100
11Garrett WilsonChicago Wolves (CAR)LW/RW31661243201101456204010.71%548315.6023510720000141056.10%4100000.5000000102
12Caedan BankierChicago Wolves (CAR)C31448010018373172312.90%62999.6600000000002045.95%40700000.5300000001
13Donovan SebrangoChicago Wolves (CAR)D27167016042212010145.00%2846017.0600006000198000%000000.3000000010
14Cade WebberChicago Wolves (CAR)D28347-353567132261413.64%2837413.3811235000038110%000000.3700000000
15Jacob QuillanChicago Wolves (CAR)C/LW3160604018153271818.75%32156.9600000000001433.33%1800000.5600000021
16Nathan GaucherChicago Wolves (CAR)C/RW31246-212054115013364.00%343213.9413416880000330064.91%5700000.2800000001
17Wilmer SkoogChicago Wolves (CAR)C311450401817205225.00%52146.9300000000000048.64%22000000.4700000000
18Anthony VincentChicago Wolves (CAR)C/RW311232402211285163.57%22307.4400004000031037.50%2400000.2600000001
19Brandt ClarkeChicago Wolves (CAR)D3033000646550%66421.590112700005000%000000.9300000000
20Adam BoqvistChicago Wolves (CAR)D4022-500264140%57518.8701141000003000%000000.5300000000
21Corson CeulemansChicago Wolves (CAR)D1000000000000%100.720000000000000%00000000000000
22Tobie Paquette-BissonChicago Wolves (CAR)D1000060120000%01616.080000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne5599216225423491585268610212907569.01%317908516.2525457023180600018103512852.74%283100100.5649110121216
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
1Michael DipietroChicago Wolves (CAR)26131300.9093.08155700808780101.0009265202
2Dennis HildebyChicago Wolves (CAR)62300.8883.96318002118700000526000
Statistiques d’équipe totales ou en moyenne32151600.9053.23187600101106501093131202


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 BoqvistChicago Wolves (CAR)D262000-08-15SWENo191 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Andreas EnglundChicago Wolves (CAR)D301996-01-21SWENo200 Lbs193 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Anthony VincentChicago Wolves (CAR)C/RW291997-08-12USANo190 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Brandt ClarkeChicago Wolves (CAR)D232003-02-09CANNo200 Lbs188 CMNoNoTrade2025-08-31NoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Brett MurrayChicago Wolves (CAR)LW/RW281998-07-20CANNo228 Lbs196 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Cade WebberChicago Wolves (CAR)D252001-01-05USAYes212 Lbs201 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Caedan BankierChicago Wolves (CAR)C232003-01-26CANNo192 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Cooper BlackChicago Wolves (CAR)G252001-06-14USANo223 Lbs203 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Corson CeulemansChicago Wolves (CAR)D232003-05-05CANNo198 Lbs188 CMNoNoTrade2025-08-31NoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Dennis HildebyChicago Wolves (CAR)G252001-08-19SWENo224 Lbs201 CMNoNoFantasy DraftNoNo12025-08-23FalseFalsePro & Farm999,999$0$0$No---------------------------Lien / Lien NHL
Donovan SebrangoChicago Wolves (CAR)D242002-01-12CANNo221 Lbs188 CMNoNoFantasy DraftNoNo12025-08-23FalseFalsePro & Farm999,999$0$0$No---------------------------Lien / Lien NHL
Garrett PilonChicago Wolves (CAR)C281998-04-13CANNo191 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Garrett WilsonChicago Wolves (CAR)LW/RW351991-03-16CANNo218 Lbs191 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Gerry MayhewChicago Wolves (CAR)C/LW/RW331992-12-31USANo161 Lbs175 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jacob QuillanChicago Wolves (CAR)C/LW242002-02-02CANYes204 Lbs185 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jake LeschyshynChicago Wolves (CAR)C/LW271999-03-10CANNo198 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jake WiseChicago Wolves (CAR)C/LW262000-02-28USANo189 Lbs178 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jakub DvorakChicago Wolves (CAR)D212005-05-25CZEYes203 Lbs196 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Jordan HarrisChicago Wolves (CAR)D262000-07-07USANo187 Lbs180 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Matthew RobertsonChicago Wolves (CAR)D252001-03-09CANNo211 Lbs193 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Michael DipietroChicago Wolves (CAR)G271999-06-09CANNo200 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nathan GaucherChicago Wolves (CAR)C/RW222003-11-06CANNo207 Lbs191 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Scott MorrowChicago Wolves (CAR)D232002-11-01USAYes210 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Tanner LaczynskiChicago Wolves (CAR)C291997-06-01USANo205 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Tobie Paquette-BissonChicago Wolves (CAR)D291997-02-01CANNo194 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Tyrel BauerChicago Wolves (CAR)D242002-03-23CANNo206 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Waltteri IgnatjewChicago Wolves (CAR)G261999-12-03FINNo200 Lbs191 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Wilmer SkoogChicago Wolves (CAR)C271999-07-17SWENo196 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Zachary HayesChicago Wolves (CAR)D271999-04-24CANNo219 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2926.21203 Lbs188 CM2.31990,517$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake WiseGarrett PilonGerry Mayhew40113
2Jake LeschyshynTanner LaczynskiGarrett Wilson30113
3Brett MurrayCaedan BankierNathan Gaucher20131
4Jacob QuillanWilmer SkoogAnthony Vincent10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisBrandt Clarke40023
2Andreas EnglundScott Morrow34023
3Adam BoqvistMatthew Robertson21023
4Scott MorrowJordan Harris5014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett MurrayTanner LaczynskiNathan Gaucher65014
2Jake WiseGerry MayhewGarrett Wilson35014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowBrandt Clarke65014
2Jordan HarrisAdam Boqvist35014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jake LeschyshynBrett Murray60131
2Tanner LaczynskiGerry Mayhew40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisAndreas Englund60131
2Scott MorrowMatthew Robertson40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jake Leschyshyn60050Andreas EnglundJordan Harris60050
2Tanner Laczynski40050Scott MorrowMatthew Robertson40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tanner LaczynskiBrett Murray60122
2Jake LeschyshynNathan Gaucher40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowBrandt Clarke60122
2Jordan HarrisAdam Boqvist40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett MurrayTanner LaczynskiNathan GaucherScott MorrowJordan Harris
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake LeschyshynGarrett PilonGerry MayhewAndreas EnglundJordan Harris
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Gaucher, Tanner Laczynski, Brett MurrayAnthony Vincent, Nathan GaucherNathan Gaucher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Morrow, Andreas Englund, Jordan HarrisMatthew RobertsonBrandt Clarke, Matthew Robertson
Tirs de pénalité
Tanner Laczynski, Garrett Pilon, Gerry Mayhew, Jake Leschyshyn, Brett Murray
Gardien
#1 : Dennis Hildeby, #2 : Michael Dipietro
Lignes d’attaque personnalisées en prolongation
Nathan Gaucher, Tanner Laczynski, Caedan Bankier, Anthony Vincent, Gerry Mayhew, Garrett Pilon, Jake Leschyshyn, Jake Wise, Wilmer Skoog, Jacob Quillan
Lignes de défense personnalisées en prolongation
Jordan Harris, Andreas Englund, Scott Morrow, Matthew Robertson, Brandt Clarke


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 Canucks10001000211100010002110000000000021.000235003422346253253073762225121023400.00%50100.00%0607113753.39%611116452.49%27550554.46%746507727230406201
2Admirals1010000023-11010000023-10000000000000.000246003422346353253073762242111229400.00%6266.67%0607113753.39%611116452.49%27550554.46%746507727230406201
3Barracuda21100000743110000005141010000023-120.500713200034223468732530737622621926579222.22%13376.92%0607113753.39%611116452.49%27550554.46%746507727230406201
4Bears211000007611010000034-11100000042220.500710170034223465532530737622712316506116.67%8275.00%0607113753.39%611116452.49%27550554.46%746507727230406201
5Bridgeport Islanders1010000012-11010000012-10000000000000.000123003422346233253073762233161031000%50100.00%0607113753.39%611116452.49%27550554.46%746507727230406201
6Bruins20100010550000000000002010001055020.50058130034223465232530737622753316625360.00%80100.00%0607113753.39%611116452.49%27550554.46%746507727230406201
7Calgary Wranglers1010000024-21010000024-20000000000000.000246003422346333253073762238710233133.33%5180.00%0607113753.39%611116452.49%27550554.46%746507727230406201
8Colorado Eagles1010000034-1000000000001010000034-100.00036900342234628325307376223181425100.00%6183.33%0607113753.39%611116452.49%27550554.46%746507727230406201
9Condors1010000024-21010000024-20000000000000.0002350034223462532530737622451714273133.33%7185.71%0607113753.39%611116452.49%27550554.46%746507727230406201
10Henderson Silver Knights2110000045-11010000003-31100000042220.50047110034223467632530737622651924508225.00%10280.00%0607113753.39%611116452.49%27550554.46%746507727230406201
11Monsters1010000045-11010000045-10000000000000.00048120034223463932530737622391112163133.33%6183.33%0607113753.39%611116452.49%27550554.46%746507727230406201
12Moose21100000651110000004221010000023-120.500610160034223466232530737622711818528337.50%9366.67%0607113753.39%611116452.49%27550554.46%746507727230406201
13Ontario Reign1010000024-2000000000001010000024-200.000246003422346413253073762226515364250.00%5340.00%0607113753.39%611116452.49%27550554.46%746507727230406201
14Phantoms211000007701010000034-11100000043120.500711180034223466832530737622652216677114.29%8275.00%0607113753.39%611116452.49%27550554.46%746507727230406201
15Rochester Americans2110000079-21010000036-31100000043120.500712190034223468632530737622542018548112.50%9366.67%0607113753.39%611116452.49%27550554.46%746507727230406201
16San Diego Gulls11000000642000000000001100000064221.0006111700342234650325307376223578333133.33%4175.00%0607113753.39%611116452.49%27550554.46%746507727230406201
17Texas Stars1010000006-6000000000001010000006-600.00000000342234623325307376224441428500.00%7357.14%0607113753.39%611116452.49%27550554.46%746507727230406201
18Toronto Marlies20001010862100000104311000100043141.000812200034223464532530737622702122485240.00%11281.82%0607113753.39%611116452.49%27550554.46%746507727230406201
19Utica Comets10000010761100000107610000000000021.00071118003422346373253073762241521244250.00%3166.67%0607113753.39%611116452.49%27550554.46%746507727230406201
20Wild22000000963110000005411100000042241.000915240034223467232530737622702135513266.67%11372.73%0607113753.39%611116452.49%27550554.46%746507727230406201
21Wolf Pack2110000045-11010000014-31100000031220.5004812003422346593253073762263181866700.00%8187.50%0607113753.39%611116452.49%27550554.46%746507727230406201
Total3110160203095101-616310010204856-815760101047452300.4849516225700342234610213253073762210653173498521002525.00%1543577.27%0607113753.39%611116452.49%27550554.46%746507727230406201
_Since Last GM Reset3110160203095101-616310010204856-815760101047452300.4849516225700342234610213253073762210653173498521002525.00%1543577.27%0607113753.39%611116452.49%27550554.46%746507727230406201
_Vs Conference1547010305051-1806000202634-87410101024177160.533508213200342234646432530737622511169149418451124.44%661281.82%0607113753.39%611116452.49%27550554.46%746507727230406201
_Vs Division935000103031-1605000101925-633000000116580.44430508000342234628132530737622312959325427518.52%38781.58%0607113753.39%611116452.49%27550554.46%746507727230406201

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3130W2951622571021106531734985200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
311016203095101
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1631010204856
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
157610104745
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1002525.00%1543577.27%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
325307376223422346
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
607113753.39%611116452.49%27550554.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
746507727230406201


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 Comets6Chicago Wolves7WXXSommaire du match
5 - 2025-10-1130Phantoms4Chicago Wolves3LSommaire du match
8 - 2025-10-1455Chicago Wolves2Barracuda3LSommaire du match
10 - 2025-10-1670Chicago Wolves6San Diego Gulls4WSommaire du match
12 - 2025-10-1886Chicago Wolves2Ontario Reign4LSommaire du match
14 - 2025-10-2097Chicago Wolves4Henderson Silver Knights2WSommaire du match
17 - 2025-10-23121Chicago Wolves3Colorado Eagles4LSommaire du match
19 - 2025-10-25138Chicago Wolves0Texas Stars6LSommaire du match
22 - 2025-10-28155Henderson Silver Knights3Chicago Wolves0LSommaire du match
24 - 2025-10-30171Bridgeport Islanders2Chicago Wolves1LSommaire du match
26 - 2025-11-01181Chicago Wolves1Bruins2LSommaire du match
29 - 2025-11-04206Chicago Wolves3Wolf Pack1WSommaire du match
31 - 2025-11-06222Wild4Chicago Wolves5WSommaire du match
33 - 2025-11-08238Rochester Americans6Chicago Wolves3LSommaire du match
34 - 2025-11-09246Chicago Wolves4Toronto Marlies3WXSommaire du match
36 - 2025-11-11259Bears4Chicago Wolves3LSommaire du match
39 - 2025-11-14279Abbotsford Canucks1Chicago Wolves2WXSommaire du match
40 - 2025-11-15289Condors4Chicago Wolves2LSommaire du match
42 - 2025-11-17301Chicago Wolves4Bruins3WXXSommaire du match
44 - 2025-11-19317Chicago Wolves4Wild2WSommaire du match
46 - 2025-11-21333Chicago Wolves2Moose3LSommaire du match
48 - 2025-11-23347Chicago Wolves4Rochester Americans3WSommaire du match
51 - 2025-11-26368Wolf Pack4Chicago Wolves1LSommaire du match
53 - 2025-11-28387Moose2Chicago Wolves4WSommaire du match
55 - 2025-11-30404Calgary Wranglers4Chicago Wolves2LSommaire du match
59 - 2025-12-04431Toronto Marlies3Chicago Wolves4WXXSommaire du match
61 - 2025-12-06447Admirals3Chicago Wolves2LSommaire du match
62 - 2025-12-07455Barracuda1Chicago Wolves5WSommaire du match
64 - 2025-12-09471Monsters5Chicago Wolves4LSommaire du match
66 - 2025-12-11485Chicago Wolves4Bears2WSommaire du match
68 - 2025-12-13501Chicago Wolves4Phantoms3WSommaire du match
69 - 2025-12-14510Phantoms-Chicago Wolves-
72 - 2025-12-17532Chicago Wolves-Admirals-
74 - 2025-12-19544Chicago Wolves-Charlotte Checkers-
75 - 2025-12-20557Chicago Wolves-Syracruse Crunch-
78 - 2025-12-23581Charlotte Checkers-Chicago Wolves-
82 - 2025-12-27593Griffins-Chicago Wolves-
84 - 2025-12-29608Wolf Pack-Chicago Wolves-
85 - 2025-12-30619Chicago Wolves-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 Valley Firebirds-Chicago Wolves-
98 - 2026-01-12717Chicago Wolves-Griffins-
99 - 2026-01-13730Chicago Wolves-Thunderbirds-
102 - 2026-01-16750Charlotte Checkers-Chicago Wolves-
103 - 2026-01-17759Chicago Wolves-Utica Comets-
105 - 2026-01-19770Rochester Americans-Chicago Wolves-
108 - 2026-01-22796IceHogs-Chicago Wolves-
110 - 2026-01-24813Chicago Wolves-Belleville Senators-
115 - 2026-01-29851Tucson Roadrunners-Chicago Wolves-
117 - 2026-01-31864Chicago Wolves-Bears-
118 - 2026-02-01874Ontario Reign-Chicago Wolves-
120 - 2026-02-03890Belleville Senators-Chicago Wolves-
122 - 2026-02-05906Chicago Wolves-Wolf Pack-
143 - 2026-02-26923Syracruse Crunch-Chicago Wolves-
145 - 2026-02-28942Griffins-Chicago Wolves-
147 - 2026-03-02957Chicago Wolves-Coachella Valley Firebirds-
149 - 2026-03-04972Chicago Wolves-Abbotsford Canucks-
151 - 2026-03-06986Chicago Wolves-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 - 2026-03-101018Penguins-Chicago Wolves-
157 - 2026-03-121033Thunderbirds-Chicago Wolves-
159 - 2026-03-141049Chicago Wolves-Syracruse Crunch-
162 - 2026-03-171070Chicago Wolves-Monsters-
163 - 2026-03-181078Penguins-Chicago Wolves-
165 - 2026-03-201094Chicago Wolves-Toronto Marlies-
167 - 2026-03-221112Chicago Wolves-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-Monsters-
178 - 2026-04-021197Monsters-Chicago Wolves-
180 - 2026-04-041214Bridgeport Islanders-Chicago Wolves-
181 - 2026-04-051225Chicago Wolves-Belleville Senators-
183 - 2026-04-071237Bruins-Chicago Wolves-
185 - 2026-04-091255Chicago Wolves-IceHogs-
187 - 2026-04-111269Chicago Wolves-Tucson Roadrunners-
189 - 2026-04-131284Chicago Wolves-Phantoms-
190 - 2026-04-141293Chicago Wolves-Bridgeport Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance29,19215,150
Assistance PCT91.23%94.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
25 2771 - 92.38% 113,969$1,823,498$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,346,325$ 2,872,500$ 2,872,500$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 994,758$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,849,216$ 124 27,982$ 3,469,768$




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