Nashville Predators Champions RSM YR14
Connexion

Chicago Wolves
GP: 18 | W: 15 | L: 2 | OTL: 1 | P: 31
GF: 116 | GA: 48 | PP%: 34.78% | PK%: 86.30%
DG: Christopher Dorion | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #267 vs Rockford IceHogs

Centre de jeu
Chicago Wolves
15-2-1, 31pts
7
0 Milwaukee Admirals
1-15-0, 2pts
Team Stats
L1SéquenceL14
7-0-0Fiche domicile1-9-0
8-2-1Fiche domicile0-6-0
8-1-1Derniers 10 matchs0-10-0
6.44Buts par match 1.31
2.67Buts contre par match 7.38
34.78%Pourcentage en avantage numérique0.00%
86.30%Pourcentage en désavantage numérique55.56%
Chicago Wolves
15-2-1, 31pts
0
4 Bridgeport Islanders
9-6-0, 18pts
Team Stats
L1SéquenceW5
7-0-0Fiche domicile5-3-0
8-2-1Fiche domicile4-3-0
8-1-1Derniers 10 matchs6-4-0
6.44Buts par match 4.87
2.67Buts contre par match 2.67
34.78%Pourcentage en avantage numérique12.12%
86.30%Pourcentage en désavantage numérique83.78%
Rockford IceHogs
2-15-0, 4pts
2026-11-07
Chicago Wolves
15-2-1, 31pts
Statistiques d’équipe
L8SéquenceL1
2-7-0Fiche domicile7-0-0
0-8-0Fiche visiteur8-2-1
2-8-010 derniers matchs8-1-1
3.47Buts par match 6.44
8.53Buts contre par match 6.44
4.55%Pourcentage en avantage numérique34.78%
38.71%Pourcentage en désavantage numérique86.30%
Chicago Wolves
15-2-1, 31pts
2026-11-12
Coachella Firebirds
6-9-0, 12pts
Statistiques d’équipe
L1SéquenceW1
7-0-0Fiche domicile3-4-0
8-2-1Fiche visiteur3-5-0
8-1-110 derniers matchs3-7-0
6.44Buts par match 5.80
2.67Buts contre par match 5.80
34.78%Pourcentage en avantage numérique32.50%
86.30%Pourcentage en désavantage numérique40.00%
Coachella Firebirds
6-9-0, 12pts
2026-11-14
Chicago Wolves
15-2-1, 31pts
Statistiques d’équipe
W1SéquenceL1
3-4-0Fiche domicile7-0-0
3-5-0Fiche visiteur8-2-1
3-7-010 derniers matchs8-1-1
5.80Buts par match 6.44
7.60Buts contre par match 6.44
32.50%Pourcentage en avantage numérique34.78%
40.00%Pourcentage en désavantage numérique86.30%
Meneurs d'équipe
Bradly NadeauButs
Bradly Nadeau
11
Scott MorrowPasses
Scott Morrow
23
Scott MorrowPoints
Scott Morrow
25
Austin WatsonPlus/Moins
Austin Watson
27
Kaapo KahkonenVictoires
Kaapo Kahkonen
15
Kaapo KahkonenPourcentage d’arrêts
Kaapo Kahkonen
0.902

Statistiques d’équipe
Buts pour
116
6.44 GFG
Tirs pour
925
51.39 Avg
Pourcentage en avantage numérique
34.8%
16 GF
Début de zone offensive
43.9%
Buts contre
48
2.67 GAA
Tirs contre
474
26.33 Avg
Pourcentage en désavantage numérique
86.3%%
10 GA
Début de la zone défensive
34.4%
Informations de l'équipe

Directeur généralChristopher Dorion
DivisionCentrale
ConférenceOuest
CapitaineAustin Watson
Assistant #1Charle-Edouard D'Astous
Assistant #2Josh Brown


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure21
Limite Contrat48 / 250
Espoirs15


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
1John LeonardXX100.006936926671908464626569636869674140660271775,000$
2Adam EdstromXX100.007753906799747663556061646265684740650242975,000$
3Bradly Nadeau (R)XXX100.006537856668868465626368616662637840650202918,333$
4Austin Watson (C)X100.008582555992808562645768635976754340650331775,000$
5Quinn Hutson (R)X100.005739686670898765616367626864654340640231875,000$
6Matt RempeXX100.008987686699747663565557625864664840640232975,000$
7Valtteri PuustinenXX100.006236936568838264606362616668694240640261775,000$
8Curtis Douglas (R)XX100.008581555999718158575654605366685840620251775,000$
9Ivan IvanXX100.006238846372778959615857605664664340620231845,000$
10Luke TuchX100.007643705985748157525456585764667040610231925,000$
11Taylor Makar (R)XX100.007140735881758456545357555965674740600241925,000$
12Connor Clattenburg (R)XX100.007746505883687356615257555861634940590203828,333$
13Charle-Edouard D'Astous (A)X100.007342636783877365307062635268693640650272875,000$
14Josh Brown (A)X100.0083756162937780593064527247737430406403121,000,000$
15Scott Morrow (R)X100.0069437266828584653068576153646673406402211,158,333$
16Ryan ChesleyX100.006437926073678459306157584962647640620211950,000$
17Viliam KmecX100.007439885783668458306252594662644440610212833,333$
18Jett WooX100.006645605875728056305753554666687340590251775,000$
Rayé
1Chase BradleyXX100.005939745668758055515357585664664840590231975,000$
2Zac FunkX100.0067417356767963545855535752636544405902221,033,333$
3Ryan O'RourkeX100.006138815470667553305551564564667340580231775,000$
4Loke JohanssonX100.007740855186636452305050564561634940580191775,000$
5Otto SalinX100.006137855570647654305652534562645540580213883,333$
MOYENNE D’ÉQUIPE100.00714875618076795947595860556567534062
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
1Kaapo Kahkonen100.007585808474737574737574728453406702911,150,000$
2Jakub Skarek100.00747975897372747372747368775640660251775,000$
Rayé
1Topias Leinonen100.00627470986160626160626162677440590213950,000$
2Trey Augustine100.006171687460596160596160616574405902041,908,333$
MOYENNE D’ÉQUIPE100.0068777386676668676668676673644063
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’équipePOS GP 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
1Scott MorrowChicago Wolves (CAR)D18223251824040193811155.26%1537420.801451133011347000%000001.3400000120
2Charle-Edouard D'AstousChicago Wolves (CAR)D18618242480312144153413.64%2444924.99257937000164010%000001.0700000102
3John LeonardChicago Wolves (CAR)LW/RW181113242300112281238013.58%832918.311237280005410043.55%6200011.4601000211
4Quinn HutsonChicago Wolves (CAR)RW1810132320100161773206113.70%123513.1000000000000069.23%1300001.9500000003
5Josh BrownChicago Wolves (CAR)D185172215235502750142810.00%2842023.371231334000150200%000001.0500010100
6Adam EdstromChicago Wolves (CAR)C/LW189122114115143262204114.52%528315.7835810330003382155.81%34400001.4800010001
7Ben KindelCarolina HurricanesC/RW11812201120103268135611.76%323521.4131412241126460059.52%29400001.7001000111
8Bradly NadeauChicago Wolves (CAR)C/LW/RW17118192560202486256112.79%233619.7811211320003353079.28%11100001.1311000022
9Austin WatsonChicago Wolves (CAR)RW167121927221043177316429.59%225816.16134824000013073.24%7100001.4700110121
10Valtteri PuustinenChicago Wolves (CAR)LW/RW1811516160042673155815.07%529216.241125171012361049.21%6300001.0900000001
11Bo GroulxCarolina HurricanesC/LW795141240172040102322.50%315321.890113170000190053.33%18000011.8300000201
12Ryan ChesleyChicago Wolves (CAR)D1821214148013131851311.11%835819.94022427011047000%000000.7800000100
13Viliam KmecChicago Wolves (CAR)D181131420403716175185.88%2326514.7700001000015000%000001.0500000100
14Ivan IvanChicago Wolves (CAR)C/LW18671382062337132916.22%21799.9800001000001054.55%13200001.4500000010
15Matt RempeChicago Wolves (CAR)C/RW1847111017533214426379.09%223012.79011220000011035.79%9500000.9600001000
16Curtis DouglasChicago Wolves (CAR)C/LW1846101435541103462011.76%118310.2101122000011063.30%10900001.0900100100
17Cole HutsonCarolina HurricanesD40991320267660%49924.8100018000018000%000001.8100000100
18Taylor MakarChicago Wolves (CAR)C/LW14347440772372513.04%01238.7900000000001080.56%3600001.1400000000
19Victor EklundCarolina HurricanesLW/RW40662005521690%08521.49011280110120040.00%500001.4001000000
20Luke TuchChicago Wolves (CAR)LW18156240265328283.13%31769.8000013000010054.55%1100000.6800000000
21Ryan O'RourkeChicago Wolves (CAR)D920210206364433.33%513214.780000000005000%000000.3000000010
22Jett WooChicago Wolves (CAR)D802264013111330%511113.910000000003000%000000.3600000000
23Connor ClattenburgChicago Wolves (CAR)C/LW40114007413290%04110.3600000000020077.78%900000.4800000000
24Chase BradleyChicago Wolves (CAR)C/LW1000000021120%099.32000000000000100.00%20000000000000
Statistiques d’équipe totales ou en moyenne3291122103223121923045237395227470211.76%149536816.321430441013562462449115257.97%153700021.2014231131013
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’équipe GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Kaapo KahkonenChicago Wolves (CAR)1815210.9022.56105622454590001.0004180020
2Jakub SkarekChicago Wolves (CAR)10000.8006.21290031500000018000
Statistiques d’équipe totales ou en moyenne1915210.8992.651085224847400041818020


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’équipe POS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate 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 10 Lien
Adam EdstromChicago Wolves (CAR)C/LW242000-10-12SWENo232 Lbs6 ft7NoNoAssign ManuallyNoYes22026-07-03FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Austin WatsonChicago Wolves (CAR)RW331992-01-13USANo238 Lbs6 ft4NoNoTrade2026-10-15NoYes12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Bradly NadeauChicago Wolves (CAR)C/LW/RW202005-05-05CANYes180 Lbs5 ft11NoNoTrade2026-01-01NoNo22025-07-16FalseFalsePro & Farm918,333$0$0$No918,333$-----------------No--------Lien / Lien NHL
Charle-Edouard D'AstousChicago Wolves (CAR)D271998-04-21CANNo211 Lbs6 ft2NoNoAssign ManuallyNoYes22026-09-07FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Chase BradleyChicago Wolves (CAR)C/LW232002-01-09USANo180 Lbs5 ft11NoNoTrade2026-09-20NoNo12025-07-16FalseFalsePro & Farm975,000$0$0$No---------------------------Lien / Lien NHL
Connor ClattenburgChicago Wolves (CAR)C/LW202005-05-02CANYes215 Lbs6 ft2NoNoAssign ManuallyNoNo32026-07-03FalseFalsePro & Farm828,333$0$0$No828,333$828,333$-------828,333$828,333$-------NoNo-------Lien / Lien NHL
Curtis DouglasChicago Wolves (CAR)C/LW252000-03-06CANYes242 Lbs6 ft9NoNoTrade2025-01-26NoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Ivan IvanChicago Wolves (CAR)C/LW232002-08-20CZENo190 Lbs6 ft0NoNoTrade2025-01-04NoNo12024-09-22FalseFalsePro & Farm845,000$0$0$No---------------------------Lien / Lien NHL
Jakub SkarekChicago Wolves (CAR)G251999-11-10CZENo211 Lbs6 ft4NoNoAssign ManuallyNoYes12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Jett WooChicago Wolves (CAR)D252000-07-27CANNo205 Lbs6 ft0NoNoTrade2026-10-07NoYes12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
John LeonardChicago Wolves (CAR)LW/RW271998-08-07USANo192 Lbs5 ft11NoNoAssign Manually2025-10-09NoYes12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Josh BrownChicago Wolves (CAR)D311994-01-21CANNo220 Lbs6 ft5NoNoTrade2025-10-29NoYes22025-06-28FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Kaapo KahkonenChicago Wolves (CAR)G291996-08-16FINNo217 Lbs6 ft2NoNoTrade2026-08-13NoYes12026-07-03FalseFalsePro & Farm1,150,000$0$0$No---------------------------Lien / Lien NHL
Loke JohanssonChicago Wolves (CAR)D192005-12-14SWENo213 Lbs6 ft3NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Luke TuchChicago Wolves (CAR)LW232002-03-07USANo209 Lbs6 ft3NoNoTrade2025-10-30NoNo12025-07-16FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Matt RempeChicago Wolves (CAR)C/RW232002-06-29CANNo261 Lbs6 ft9NoNoAssign ManuallyNoNo22026-07-03FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Otto SalinChicago Wolves (CAR)D212004-03-07FINNo187 Lbs5 ft11NoNoAssign ManuallyNoNo32026-07-03FalseFalsePro & Farm883,333$0$0$No883,333$883,333$-------883,333$883,333$-------NoNo-------Lien / Lien NHL
Quinn HutsonChicago Wolves (CAR)RW232002-01-01USAYes176 Lbs5 ft11NoNoAssign ManuallyNoNo12026-09-07FalseFalsePro & Farm875,000$0$0$No---------------------------Lien / Lien NHL
Ryan ChesleyChicago Wolves (CAR)D212004-02-27USANo195 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Ryan O'RourkeChicago Wolves (CAR)D232002-05-16CANNo178 Lbs6 ft0NoNoTrade2026-10-07NoNo12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Scott MorrowChicago Wolves (CAR)D222002-11-01USAYes210 Lbs6 ft2NoNoAssign ManuallyNoNo12025-07-16FalseFalsePro & Farm1,158,333$0$0$No---------------------------Lien / Lien NHL
Taylor MakarChicago Wolves (CAR)C/LW242001-03-13CANYes190 Lbs6 ft3NoNoAssign ManuallyNoYes12026-07-03FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Topias LeinonenChicago Wolves (CAR)G212004-01-25FINNo234 Lbs6 ft6NoNoProspectNoNo32026-08-03FalseFalsePro & Farm950,000$0$0$No1,025,000$1,025,000$-------1,025,000$1,025,000$-------NoNo-------Lien / Lien NHL
Trey AugustineChicago Wolves (CAR)G202005-02-23USANo183 Lbs6 ft1NoNoDraftNoNo42026-08-03FalseFalsePro & Farm1,908,333$0$0$No1,908,333$1,908,333$1,908,333$------1,908,333$1,908,333$1,908,333$------NoNoNo------Lien / Lien NHL
Valtteri PuustinenChicago Wolves (CAR)LW/RW261999-06-04FINNo182 Lbs5 ft10NoNoTrade2026-09-20NoYes12024-09-04FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Viliam KmecChicago Wolves (CAR)D212004-01-02SVKNo212 Lbs6 ft2NoNoAssign ManuallyNoNo22026-09-07FalseFalsePro & Farm833,333$0$0$No908,333$--------908,333$--------No--------Lien / Lien NHL
Zac FunkChicago Wolves (CAR)LW222003-07-20CANNo210 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm1,033,333$0$0$No1,033,333$-----------------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.74206 Lbs6 ft21.59932,716$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John LeonardBradly NadeauAustin Watson30113
2Valtteri PuustinenAdam EdstromMatt Rempe26221
3Ivan IvanCurtis DouglasQuinn Hutson24122
4Luke TuchTaylor MakarConnor Clattenburg20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Charle-Edouard D'AstousJosh Brown30122
2Scott MorrowRyan Chesley30122
3Viliam KmecJett Woo20122
4Charle-Edouard D'AstousJosh Brown20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John LeonardBradly NadeauAustin Watson60122
2Valtteri PuustinenAdam EdstromMatt Rempe40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Charle-Edouard D'AstousJosh Brown60122
2Scott MorrowRyan Chesley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Bradly NadeauJohn Leonard60122
2Adam EdstromValtteri Puustinen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Charle-Edouard D'AstousJosh Brown60122
2Scott MorrowRyan Chesley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Bradly Nadeau60122Charle-Edouard D'AstousJosh Brown60122
2Adam Edstrom40122Scott MorrowRyan Chesley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Bradly NadeauJohn Leonard60122
2Adam EdstromValtteri Puustinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Charle-Edouard D'AstousJosh Brown60122
2Scott MorrowRyan Chesley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John LeonardBradly NadeauAustin WatsonCharle-Edouard D'AstousJosh Brown
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valtteri PuustinenAdam EdstromMatt RempeScott MorrowRyan Chesley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Valtteri Puustinen, Matt Rempe, Quinn HutsonValtteri Puustinen, Matt RempeValtteri Puustinen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Chesley, Viliam Kmec, Jett WooRyan ChesleyRyan Chesley, Viliam Kmec
Tirs de pénalité
John Leonard, Bradly Nadeau, Austin Watson, Adam Edstrom, Valtteri Puustinen
Gardien
#1 : Kaapo Kahkonen, #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
TotalDomicile Visiteur
# 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 RI
1Abbotsford Canucks22000000532110000002111100000032141.0005914004641281792923352957671824437228.57%12283.33%044070462.50%29055152.63%19434755.91%534403331111219120
2Bakersfield Condors11000000826000000000001100000082621.00081624004641281532923352957191072511100.00%10100.00%044070462.50%29055152.63%19434755.91%534403331111219120
3Bridgeport Islanders1010000004-4000000000001010000004-400.0000000046412812629233529573811625400.00%30100.00%044070462.50%29055152.63%19434755.91%534403331111219120
4Calgary Wranglers1100000012480000000000011000000124821.00012223400464128174292335295724382211100.00%4250.00%044070462.50%29055152.63%19434755.91%534403331111219120
5Charlotte Checkers11000000532110000005320000000000021.0005914004641281572923352957234636000%30100.00%044070462.50%29055152.63%19434755.91%534403331111219120
6Cleveland Monsters10000010541100000105410000000000021.00057120046412814029233529574114823100.00%4175.00%144070462.50%29055152.63%19434755.91%534403331111219120
7Hershey Bears220000002481622000000248160000000000041.0002443670046412811152923352957632147517457.14%10190.00%044070462.50%29055152.63%19434755.91%534403331111219120
8Laval Rocket11000000505000000000001100000050521.000591401464128125292335295723111721400.00%40100.00%044070462.50%29055152.63%19434755.91%534403331111219120
9Lehigh Valley Phantoms21100000880000000000002110000088020.50081523004641281642923352957681826498225.00%13376.92%044070462.50%29055152.63%19434755.91%534403331111219120
10Manitoba Moose22000000173141100000011291100000061541.00017294600464128117229233529572071459200.00%70100.00%044070462.50%29055152.63%19434755.91%534403331111219120
11Milwaukee Admirals11000000707000000000001100000070721.00071320014641281792923352957113820000%40100.00%044070462.50%29055152.63%19434755.91%534403331111219120
12Providence Bruins11000000615110000006150000000000021.00061117004641281412923352957201423244100.00%10100.00%044070462.50%29055152.63%19434755.91%534403331111219120
13Rockford IceHogs1100000011470000000000011000000114721.000112031004641281642923352957175629100.00%30100.00%144070462.50%29055152.63%19434755.91%534403331111219120
14Springfield Thunderbirds1000010034-1000000000001000010034-110.50036900464128136292335295740118126233.33%4175.00%044070462.50%29055152.63%19434755.91%534403331111219120
Total1814200110116486876000010531934118200100632934310.8611162093250246412819252923352957474150187447461634.78%731086.30%244070462.50%29055152.63%19434755.91%534403331111219120
_Since Last GM Reset1814200110116486876000010531934118200100632934310.8611162093250246412819252923352957474150187447461634.78%731086.30%244070462.50%29055152.63%19434755.91%534403331111219120
_Vs Conference88000000601644220000001331066000000471334161.000601091690146412815212923352957158466719812433.33%31487.10%144070462.50%29055152.63%19434755.91%534403331111219120
_Vs Division440000002591611000000211330000002381581.00025477200464128120629233529571103139909444.44%17476.47%044070462.50%29055152.63%19434755.91%534403331111219120

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1831L111620932592547415018744702
Tous les matchs
GPWLOTWOTL SOWSOL GFGA
18142011011648
Matchs locaux
GPWLOTWOTL SOWSOL GFGA
76000105319
Matchs extérieurs
GPWLOTWOTL SOWSOL GFGA
118201006329
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
461634.78%731086.30%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
29233529574641281
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
44070462.50%29055152.63%19434755.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
534403331111219120


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
Jour Match Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2026-09-292Charlotte Checkers3Chicago Wolves5WSommaire du match
4 - 2026-10-0220Hershey Bears4Chicago Wolves13WSommaire du match
5 - 2026-10-0331Chicago Wolves6Lehigh Valley Phantoms1WSommaire du match
8 - 2026-10-0645Chicago Wolves5Laval Rocket0WSommaire du match
10 - 2026-10-0860Abbotsford Canucks1Chicago Wolves2WSommaire du match
12 - 2026-10-1080Chicago Wolves11Rockford IceHogs4WSommaire du match
13 - 2026-10-1185Chicago Wolves2Lehigh Valley Phantoms7LSommaire du match
15 - 2026-10-1396Hershey Bears4Chicago Wolves11WSommaire du match
19 - 2026-10-17134Chicago Wolves6Manitoba Moose1WSommaire du match
20 - 2026-10-18135Chicago Wolves12Calgary Wranglers4WSommaire du match
22 - 2026-10-20143Chicago Wolves3Abbotsford Canucks2WSommaire du match
24 - 2026-10-22161Chicago Wolves8Bakersfield Condors2WSommaire du match
26 - 2026-10-24175Chicago Wolves3Springfield Thunderbirds4LXSommaire du match
29 - 2026-10-27191Providence Bruins1Chicago Wolves6WSommaire du match
31 - 2026-10-29209Cleveland Monsters4Chicago Wolves5WXXSommaire du match
34 - 2026-11-01230Manitoba Moose2Chicago Wolves11WSommaire du match
36 - 2026-11-03237Chicago Wolves7Milwaukee Admirals0WSommaire du match
38 - 2026-11-05255Chicago Wolves0Bridgeport Islanders4LSommaire du match
40 - 2026-11-07267Rockford IceHogs-Chicago Wolves-
45 - 2026-11-12305Chicago Wolves-Coachella Firebirds-
47 - 2026-11-14320Coachella Firebirds-Chicago Wolves-
52 - 2026-11-19356Laval Rocket-Chicago Wolves-
53 - 2026-11-20359Bakersfield Condors-Chicago Wolves-
54 - 2026-11-21376Chicago Wolves-Hartford Wolf Pack-
57 - 2026-11-24399Chicago Wolves-Syracuse Crunch-
59 - 2026-11-26426Belleville Senators-Chicago Wolves-
61 - 2026-11-28432Chicago Wolves-Hartford Wolf Pack-
64 - 2026-12-01451Cleveland Monsters-Chicago Wolves-
66 - 2026-12-03466Toronto Marlies-Chicago Wolves-
69 - 2026-12-06490Hartford Wolf Pack-Chicago Wolves-
72 - 2026-12-09511Bridgeport Islanders-Chicago Wolves-
74 - 2026-12-11527Providence Bruins-Chicago Wolves-
76 - 2026-12-13537Chicago Wolves-Cleveland Monsters-
78 - 2026-12-15552Chicago Wolves-Tucson Roadrunners-
79 - 2026-12-16559Chicago Wolves-Colorado Eagles-
82 - 2026-12-19589Chicago Wolves-Henderson Silver Knights-
84 - 2026-12-21602Wilkes-Barre Scranton Penguins-Chicago Wolves-
86 - 2026-12-23625Syracuse Crunch-Chicago Wolves-
87 - 2026-12-24631Chicago Wolves-Wilkes-Barre Scranton Penguins-
89 - 2026-12-26644Chicago Wolves-Grand Rapids Griffins-
91 - 2026-12-28664Milwaukee Admirals-Chicago Wolves-
94 - 2026-12-31687Springfield Thunderbirds-Chicago Wolves-
96 - 2027-01-02699Wilkes-Barre Scranton Penguins-Chicago Wolves-
98 - 2027-01-04718Chicago Wolves-Rochester Americans-
101 - 2027-01-07737Chicago Wolves-Providence Bruins-
103 - 2027-01-09749Chicago Wolves-Hershey Bears-
104 - 2027-01-10756Lehigh Valley Phantoms-Chicago Wolves-
106 - 2027-01-12774Henderson Silver Knights-Chicago Wolves-
110 - 2027-01-16799Chicago Wolves-Charlotte Checkers-
112 - 2027-01-18816San Diego Gulls-Chicago Wolves-
114 - 2027-01-20832Chicago Wolves-Belleville Senators-
115 - 2027-01-21839Chicago Wolves-Laval Rocket-
117 - 2027-01-23849Bridgeport Islanders-Chicago Wolves-
119 - 2027-01-25872Ontario Reign-Chicago Wolves-
125 - 2027-01-31900Colorado Eagles-Chicago Wolves-
127 - 2027-02-02906Iowa Wild-Chicago Wolves-
129 - 2027-02-04917Rochester Americans-Chicago Wolves-
132 - 2027-02-07944Chicago Wolves-Toronto Marlies-
134 - 2027-02-09956Chicago Wolves-Rochester Americans-
135 - 2027-02-10961Grand Rapids Griffins-Chicago Wolves-
137 - 2027-02-12981Hartford Wolf Pack-Chicago Wolves-
139 - 2027-02-14996Chicago Wolves-Utica Comets-
141 - 2027-02-161007San Jose Barracuda-Chicago Wolves-
143 - 2027-02-181022Syracuse Crunch-Chicago Wolves-
145 - 2027-02-201037Chicago Wolves-Cleveland Monsters-
147 - 2027-02-221052Chicago Wolves-Hershey Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2027-02-241067Toronto Marlies-Chicago Wolves-
151 - 2027-02-261085Tucson Roadrunners-Chicago Wolves-
153 - 2027-02-281096Chicago Wolves-Iowa Wild-
156 - 2027-03-031119Calgary Wranglers-Chicago Wolves-
157 - 2027-03-041129Utica Comets-Chicago Wolves-
160 - 2027-03-071153Chicago Wolves-San Diego Gulls-
162 - 2027-03-091162Chicago Wolves-Ontario Reign-
164 - 2027-03-111182Chicago Wolves-San Jose Barracuda-
167 - 2027-03-141200Chicago Wolves-Texas Stars-
169 - 2027-03-161220Texas Stars-Chicago Wolves-
171 - 2027-03-181227Chicago Wolves-Wilkes-Barre Scranton Penguins-
173 - 2027-03-201245Chicago Wolves-Utica Comets-
174 - 2027-03-211250Chicago Wolves-Bridgeport Islanders-
177 - 2027-03-241272Chicago Wolves-Grand Rapids Griffins-
178 - 2027-03-251279Utica Comets-Chicago Wolves-
180 - 2027-03-271300Lehigh Valley Phantoms-Chicago Wolves-
182 - 2027-03-291312Belleville Senators-Chicago Wolves-
185 - 2027-04-011341Chicago Wolves-Charlotte Checkers-



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 jourCapacité de l’arénaPopularité de l’équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,803,526$ 12,591,662$ 12,591,662$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,803,526$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saison Dépenses par jourDépenses de la saison estimées
0$ 146 68,063$ 9,937,198$




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


CHAMPIONS DE LA COUPE STANLEY LHSRSM

YR 1 - New York Rangers
YR 2 - Philadelphia Flyers
YR 3 - Edmonton Oilers
YR 4 - Carolina Hurricanes
YR 5 - Arizona Coyotes
YR 6 - Ottawa Senators
YR 7 - Philadelphia Flyers
YR 8 - Philadelphia Flyers
YR 9 - Colorado Avalanche
YR 10 - Pittsburgh Penguins
YR 11 - Colorado Avalanche
YR 12 - Toronto Maple Leafs
YR 13 - Vancouver Canucks
YR 14 - Nashville Predators
Stanley Cup