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Chicago Wolves
GP: 57 | W: 39 | L: 16 | OTL: 2 | P: 80
GF: 309 | GA: 207 | PP%: 27.92% | PK%: 79.64%
DG: Dave Asselin | Morale : 90 | Moyenne d’équipe : 68
Prochains matchs #925 vs Laval Rocket

Centre de jeu
Rockford IceHogs
37-17-4, 78pts
3
FINAL
4 Chicago Wolves
39-16-2, 80pts
Team Stats
W1SéquenceW1
19-7-2Fiche domicile23-5-1
18-10-2Fiche domicile16-11-1
5-2-3Derniers 10 matchs8-2-0
4.93Buts par match 5.42
3.91Buts contre par match 3.63
35.00%Pourcentage en avantage numérique27.92%
76.19%Pourcentage en désavantage numérique79.64%
Milwaukee Admirals
39-18-3, 81pts
3
FINAL
4 Chicago Wolves
39-16-2, 80pts
Team Stats
L1SéquenceW1
21-5-2Fiche domicile23-5-1
18-13-1Fiche domicile16-11-1
7-3-0Derniers 10 matchs8-2-0
5.23Buts par match 5.42
3.58Buts contre par match 3.63
34.29%Pourcentage en avantage numérique27.92%
71.92%Pourcentage en désavantage numérique79.64%
Chicago Wolves
39-16-2, 80pts
Jour 128
Laval Rocket
30-23-7, 67pts
Statistiques d’équipe
W1SéquenceW1
23-5-1Fiche domicile17-7-4
16-11-1Fiche visiteur13-16-3
8-2-010 derniers matchs5-5-0
5.42Buts par match 4.30
3.63Buts contre par match 4.30
27.92%Pourcentage en avantage numérique26.56%
79.64%Pourcentage en désavantage numérique79.47%
Chicago Wolves
39-16-2, 80pts
Jour 130
Hartford Wolf Pack
38-16-4, 80pts
Statistiques d’équipe
W1SéquenceL2
23-5-1Fiche domicile19-6-4
16-11-1Fiche visiteur19-10-0
8-2-010 derniers matchs7-3-0
5.42Buts par match 5.76
3.63Buts contre par match 5.76
27.92%Pourcentage en avantage numérique39.66%
79.64%Pourcentage en désavantage numérique75.16%
Bakersfield Condors
41-12-2, 84pts
Jour 131
Chicago Wolves
39-16-2, 80pts
Statistiques d’équipe
W1SéquenceW1
25-4-0Fiche domicile23-5-1
16-8-2Fiche visiteur16-11-1
10-0-010 derniers matchs8-2-0
5.95Buts par match 5.42
3.78Buts contre par match 5.42
24.48%Pourcentage en avantage numérique27.92%
78.11%Pourcentage en désavantage numérique79.64%
Meneurs d'équipe
Brock McGinnButs
Brock McGinn
36
Jakob PelletierPasses
Jakob Pelletier
66
Jakob PelletierPoints
Jakob Pelletier
97
Mike ReillyPlus/Moins
Mike Reilly
45
Victoires
Calle Clang
26
Dustin TokarskiPourcentage d’arrêts
Dustin Tokarski
0.907

Statistiques d’équipe
Buts pour
309
5.42 GFG
Tirs pour
1963
34.44 Avg
Pourcentage en avantage numérique
27.9%
43 GF
Début de zone offensive
34.2%
Buts contre
207
3.63 GAA
Tirs contre
2097
36.79 Avg
Pourcentage en désavantage numérique
79.6%%
34 GA
Début de la zone défensive
37.9%
Informations de l'équipe

Directeur généralDave Asselin
EntraîneurDon Granato
DivisionCentral
ConférenceWestern Conference
CapitaineTroy Stecher
Assistant #1Brock McGinn
Assistant #2Mike Reilly


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 50
Espoirs24


Historique d'équipe

Saison actuelle39-16-2 (80PTS)
Historique0-0-0


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
1Brock McGinn (A)XX100.008460947374747466736669817987870887103121$
2Justin KirklandXXX100.00866893737667676685686773777979090690282900,000$
3Jakob PelletierXX100.00706093766677776879696970797575089690241842,000$
4Ivan MiroshnichenkoX100.00826094737569696665686768777272089680211950,000$
5Jonah GadjovichXX100.00939591688079796378636868787878093680261775,000$
6John Farinacci (R)X100.00786085756760607280627068806767088670242775,000$
7Rory Kerins (R)X100.00656085746561617171766566756666080670232775,000$
8Jonathan Lekkerimaki (R)XX100.00676091726970706565666966796969089660201918,333$
9Issac Howard (R)XX100.00616092716964646465627166817070081650213950,000$
10Andrew AgozzinoXX100.00646095697260606268646666768585082640341775,000$
11Carter Mazur (R)X100.00606085666560606065626565756666071620231905,833$
12Troy Stecher (C)X100.00696391727190906865686778779898089710311787,500$
13Mike Reilly (A)X100.006760927378747469657266727697970877003111,250,000$
14Mark FriedmanX100.00776594707366666665666574759090087680291775,000$
15Kyle CapobiancoX100.00686075707761616565656668768888088660272775,000$
16Hardy Haman AktellX100.006360847070606066656665697573730886502611$
17Nathan ClurmanX100.00666075706960606565656568757373078640272775,000$
Rayé
1Ben McCartneyX100.00606085656660606065626565756767022620231775,000$
2Nick SwaneyX100.006260856565606060656265657569690486202721$
3Brandon GignacX100.006160856665606061686266687669690786202721$
4Logan Morrisson (R)X100.006060606060606060606060606060600205802211$
5Taige Harding (R)X100.00606060606060606060606060606060022580232880,000$
MOYENNE D’ÉQUIPE100.0069628670706666656865666875757507566
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
1Dustin Tokarski100.00808080818383838383838096960828503511$
2Calle Clang (R)100.0080808080808080808080808080089820232775,000$
Rayé
1Michael DiPietro100.0080808080818080808080808282049820261812,500$
MOYENNE D’ÉQUIPE100.008080808081818181818180868607383
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Don Granato76818073868061CAN4531,000,000$


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
1Jakob PelletierChicago Wolves (CAR)C/LW57316697374071931817915617.13%31119921.04214162311710171372055.17%96810429011.6212000753
2John FarinacciChicago Wolves (CAR)C573653892552096762257916316.00%23104218.29101222431160002193153.11%93210819131.7101000473
3Brock McGinnChicago Wolves (CAR)LW/RW5636427825201161142597714013.90%52122221.826393210500081354361.19%679841021.2811000432
4Justin KirklandChicago Wolves (CAR)C/LW/RW57344276362620119701855812418.38%34116220.40312152111600041354348.57%709441011.3112103445
5Jonathan LekkerimakiChicago Wolves (CAR)C/RW572643693610072601614412216.15%27102017.90851328117000003053.85%1308813001.3511000255
6Troy StecherChicago Wolves (CAR)D5723325543562050118125596318.40%140135823.83257151080113133300%03672000.8100201121
7Issac HowardChicago Wolves (CAR)LW/RW4622325427603130130488516.92%2584518.392462291000001240.74%546019001.2801000231
8Rory KerinsChicago Wolves (CAR)C5816385411756760194561068.25%21100117.27581341144000084053.04%8888023001.0800001013
9Mike ReillyChicago Wolves (CAR)D5715314645240456683394118.07%74122221.44000031012123210%04950000.7500000102
10Jonah GadjovichChicago Wolves (CAR)LW/RW5715304522177951335091416216.48%23100817.695510189100041282050.49%2043727000.89021135103
11Andrew AgozzinoChicago Wolves (CAR)C/LW551525401500304084165317.86%1067812.3401108000074051.07%4192410111.1800000031
12Ivan MiroshnichenkoChicago Wolves (CAR)LW3917223929806431100414917.00%1561815.87101621000022055.56%184516001.2600000121
13Mark FriedmanChicago Wolves (CAR)D576303620211561927136428.45%97123121.60189131280112148100%01662000.5800012104
14Kyle CapobiancoChicago Wolves (CAR)D5711233419580705762292417.74%58117220.573710111270111106400%02354000.5800000121
15Hardy Haman AktellChicago Wolves (CAR)D5711112222180286045221824.44%4785615.020000200000110%01748000.5100000001
16Nathan ClurmanChicago Wolves (CAR)D4461420154810404339111615.38%4271116.1600000000038110%01326010.5600011011
17Brandon GignacChicago Wolves (CAR)C49210121114017304614264.35%93737.6200000000000047.62%2521011000.6400000000
18Nick SwaneyChicago Wolves (CAR)RW30055322103124268190%240313.4600027000000035.00%20510000.2500011000
19Carter MazurChicago Wolves (CAR)LW300447201212165180%52628.7600000000000047.37%19124000.3000000000
20Ben McCartneyChicago Wolves (CAR)LW11101-3402774614.29%2888.0700000000000040.00%542000.2300000000
21Taige HardingChicago Wolves (CAR)D1301184016107300%1220415.7200000000017000%019000.1000000000
Statistiques d’équipe totales ou en moyenne1001323554877443573175117111432137769133315.11%7491768517.6748841322751311235331142411252.69%4046924586290.9941014614293837
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
1Calle ClangChicago Wolves (CAR)3726900.9063.362146401201273708400.85773717310
2Dustin TokarskiChicago Wolves (CAR)1710320.9073.439110052559284101.00021426100
3Michael DiPietroChicago Wolves (CAR)73400.8685.6037501352651510000614100
Statistiques d’équipe totales ou en moyenne61391620.9013.62343241207209711435095757510


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 Salaire restantPlafond 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
Andrew AgozzinoChicago Wolves (CAR)C/LW341991-01-03CANNo187 Lbs5 ft10NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm775,000$259,686$0$0$No---------------------------Lien NHL
Ben McCartneyChicago Wolves (CAR)LW232001-07-13CANNo182 Lbs6 ft0NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm775,000$259,686$0$0$No---------------------------Lien NHL
Brandon GignacChicago Wolves (CAR)C271997-11-07CANNo172 Lbs5 ft11NoNoAssign ManuallyYesYes22025-07-03FalseFalsePro & Farm1$0$0$No1$--------1$--------No--------Lien NHL
Brock McGinnChicago Wolves (CAR)LW/RW311994-02-02CANNo185 Lbs6 ft0NoNoAssign Manually2024-10-02YesYes22025-07-03FalseFalsePro & Farm1$0$0$No1$--------1$--------No--------Lien NHL
Calle ClangChicago Wolves (CAR)G232002-05-20SWEYes190 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm775,000$259,686$0$0$No1$--------1$--------No--------
Carter MazurChicago Wolves (CAR)LW232002-03-28USAYes170 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-03FalseFalsePro & Farm905,833$303,525$0$0$No---------------------------
Dustin TokarskiChicago Wolves (CAR)G351989-09-16CANNo205 Lbs6 ft0NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------Lien NHL
Hardy Haman AktellChicago Wolves (CAR)D261998-07-04SWENo220 Lbs6 ft3NoNoAssign Manually2024-06-28YesYes12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------
Issac HowardChicago Wolves (CAR)LW/RW212004-03-30USAYes100 Lbs4 ft0NoNoProspectNoNo32025-07-17FalseFalsePro & Farm950,000$318,325$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Ivan MiroshnichenkoChicago Wolves (CAR)LW212004-02-04RUSNo185 Lbs6 ft1NoNoAssign Manually2024-11-14NoNo12025-07-03FalseFalsePro & Farm950,000$318,325$0$0$No---------------------------
Jakob PelletierChicago Wolves (CAR)C/LW242001-03-07CANNo165 Lbs5 ft9NoNoTrade2025-08-06YesYes12025-07-03FalseFalsePro & Farm842,000$282,136$0$0$No---------------------------Lien NHL
John FarinacciChicago Wolves (CAR)C242001-02-14USAYes185 Lbs6 ft0NoNoAssign ManuallyNoNo22025-08-06FalseFalsePro & Farm775,000$259,686$0$0$No1$--------1$--------No--------
Jonah GadjovichChicago Wolves (CAR)LW/RW261998-10-12CANNo200 Lbs6 ft2NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm775,000$259,686$0$0$No---------------------------Lien NHL
Jonathan LekkerimakiChicago Wolves (CAR)C/RW202004-07-24SWEYes172 Lbs5 ft11NoNoAssign ManuallyNoNo12025-07-03FalseFalsePro & Farm918,333$307,714$0$0$No---------------------------
Justin KirklandChicago Wolves (CAR)C/LW/RW281996-08-02CANNo185 Lbs6 ft3NoNoFree AgentYesYes22025-08-11FalseFalsePro & Farm900,000$301,571$0$0$No900,000$--------900,000$--------No--------Lien NHL
Kyle CapobiancoChicago Wolves (CAR)D271997-08-13CANNo179 Lbs6 ft1NoNoAssign ManuallyYesYes22025-07-03FalseFalsePro & Farm775,000$259,686$0$0$No775,000$--------775,000$--------No--------Lien NHL
Logan MorrissonChicago Wolves (CAR)C222002-07-09CANYes179 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-03FalseFalsePro & Farm1$0$0$No---------------------------
Mark FriedmanChicago Wolves (CAR)D291995-12-25CANNo185 Lbs5 ft11NoNoFree AgentYesYes12025-08-19FalseFalsePro & Farm775,000$259,686$0$0$No---------------------------Lien NHL
Michael DiPietroChicago Wolves (CAR)G261999-06-09CANNo200 Lbs6 ft0NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm812,500$272,251$0$0$No---------------------------Lien NHL
Mike ReillyChicago Wolves (CAR)D311993-07-13USANo196 Lbs6 ft2NoNoFree AgentYesYes12025-08-19FalseFalsePro & Farm1,250,000$418,848$0$0$No---------------------------Lien NHL
Nathan ClurmanChicago Wolves (CAR)D271998-05-08USANo205 Lbs6 ft2NoNoFree AgentYesYes22025-08-07FalseFalsePro & Farm775,000$259,686$0$0$No775,000$--------775,000$--------No--------
Nick SwaneyChicago Wolves (CAR)RW271997-09-09USANo175 Lbs5 ft10NoNoAssign ManuallyYesYes22025-07-03FalseFalsePro & Farm1$0$0$No1$--------1$--------No--------Lien NHL
Rory KerinsChicago Wolves (CAR)C232002-04-12CANYes175 Lbs5 ft10NoNoTrade2026-01-23YesYes22025-07-19FalseFalsePro & Farm775,000$259,686$0$0$No1$--------1$--------No--------
Taige HardingChicago Wolves (CAR)D232002-01-03SCOYes238 Lbs6 ft7NoNoProspectNoNo22025-08-18FalseFalsePro & Farm880,000$294,869$0$0$No1$--------1$--------No--------
Troy StecherChicago Wolves (CAR)D311994-04-07CANNo190 Lbs5 ft10NoNoFree Agent2025-03-09YesYes12025-08-06FalseFalsePro & Farm787,500$263,874$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.08185 Lbs5 ft111.48646,847$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob PelletierRory KerinsIssac Howard34014
2Brock McGinnJohn FarinacciJustin Kirkland34113
3Ivan MiroshnichenkoJonathan LekkerimakiJonah Gadjovich22221
4Carter MazurAndrew AgozzinoBrock McGinn10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Troy StecherMike Reilly32113
2Mark FriedmanKyle Capobianco32212
3Hardy Haman AktellNathan Clurman26122
4Troy StecherMike Reilly10212
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin KirklandJakob PelletierJonathan Lekkerimaki50005
2Issac HowardJohn FarinacciRory Kerins50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Troy StecherBrock McGinn50005
2Mark FriedmanKyle Capobianco50104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakob PelletierJustin Kirkland50140
2Jonah GadjovichBrock McGinn50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Troy StecherMark Friedman50140
2Kyle CapobiancoMike Reilly50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andrew Agozzino50050Troy StecherMike Reilly50041
2Justin Kirkland50050Mark FriedmanKyle Capobianco50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jakob PelletierJustin Kirkland50122
2Jonah GadjovichBrock McGinn50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Troy StecherMike Reilly50122
2Mark FriedmanKyle Capobianco50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin KirklandJakob PelletierJonathan LekkerimakiTroy StecherMike Reilly
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin KirklandJakob PelletierJonathan LekkerimakiTroy StecherMike Reilly
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrew Agozzino, Issac Howard, John FarinacciJonah Gadjovich, Andrew AgozzinoJohn Farinacci
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Troy Stecher, Mike Reilly, Mark FriedmanHardy Haman AktellNathan Clurman, Mark Friedman
Tirs de pénalité
Jakob Pelletier, Justin Kirkland, Jonah Gadjovich, Issac Howard, John Farinacci
Gardien
#1 : Dustin Tokarski, #2 : Calle Clang
Lignes d’attaque personnalisées en prolongation
Jakob Pelletier, Justin Kirkland, Jonah Gadjovich, Brock McGinn, John Farinacci, Jonathan Lekkerimaki, Andrew Agozzino, Rory Kerins, Ivan Miroshnichenko, Issac Howard
Lignes de défense personnalisées en prolongation
Troy Stecher, Mike Reilly, Mark Friedman, Kyle Capobianco, Hardy Haman Aktell


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 Canucks1000010089-11000010089-10000000000010.500813210012410081636719636603143779234250.00%2150.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
2Bakersfield Condors1010000046-2000000000001010000046-200.00048120012410081635719636603143115830600.00%4175.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
3Belleville Senators412000101517-21010000045-1311000101112-140.500152338001241008161407196366031416949368010220.00%18383.33%0569111151.22%629123151.10%51890557.24%12628061287446883449
4Bridgeport Islanders1010000034-1000000000001010000034-100.0003360012410081634719636603144517824200.00%4175.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
5Calgary Wranglers1010000023-1000000000001010000023-100.00024600124100816267196366031430202517200.00%5180.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
6Charlotte Checkers9630000047341344000000241014523000002324-1120.667478112801124100816320719636603142861019917821628.57%27870.37%0569111151.22%629123151.10%51890557.24%12628061287446883449
7Cleveland Monsters1010000034-11010000034-10000000000000.0003690012410081633719636603143711414400.00%20100.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
8Coachella Valley Firebirds3200100013942200000010731000100032161.000132336001241008161117196366031497272964400.00%6183.33%0569111151.22%629123151.10%51890557.24%12628061287446883449
9Grand Rapids Griffins220000001156110000005231100000063341.000112031001241008166971963660314643815373133.33%6183.33%0569111151.22%629123151.10%51890557.24%12628061287446883449
10Hartford Wolf Pack1010000058-31010000058-30000000000000.0005914001241008163771963660314381510234375.00%000%0569111151.22%629123151.10%51890557.24%12628061287446883449
11Henderson Silver Knights1100000011290000000000011000000112921.00011182900124100816357196366031431151121100.00%30100.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
12Iowa Wild32000100171252200000014861000010034-150.8331725420012410081684719636603141094319547342.86%8187.50%0569111151.22%629123151.10%51890557.24%12628061287446883449
13Lehigh Valley Phantoms11000000523000000000001100000052321.000591400124100816357196366031434126223133.33%30100.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
14Manitoba Moose5410000024168321000001310322000000116580.800244367001241008161787196366031419358339221628.57%9366.67%1569111151.22%629123151.10%51890557.24%12628061287446883449
15Milwaukee Admirals6420000025223330000001587312000001014-480.6672543680012410081620371963660314233854512623834.78%100100.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
16Ontario Reign1010000013-2000000000001010000013-200.00011200124100816317196366031442161321100.00%4175.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
17Providence Bruins1100000010371100000010370000000000021.00010142400124100816337196366031436112172150.00%110.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
18Rochester Americans10000010431100000104310000000000021.00044800124100816257196366031445131220000%60100.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
19Rockford IceHogs54001000261115320010001257220000001468101.0002643690012410081615571963660314162574910013215.38%12375.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
20San Diego Gulls1100000011291100000011290000000000021.00011193000124100816327196366031437103318100.00%40100.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
21Texas Stars541000004623232200000021615321000002517880.8004686132001241008161907196366031420963688518738.89%19478.95%0569111151.22%629123151.10%51890557.24%12628061287446883449
22Toronto Marlies2110000015872110000015870000000000020.50015254000124100816847196366031499291832100.00%9455.56%1569111151.22%629123151.10%51890557.24%12628061287446883449
23Tucson Roadrunners11000000312000000000001100000031221.000358001241008163771963660314331910203133.33%50100.00%0569111151.22%629123151.10%51890557.24%12628061287446883449
Total57351602220309207102292150111017498762814110111013510926800.70230952583401124100816196371963660314209773156211181544327.92%1673479.64%2569111151.22%629123151.10%51890557.24%12628061287446883449
_Since Last GM Reset57351602220309207102292150111017498762814110111013510926800.70230952583401124100816196371963660314209773156211181544327.92%1673479.64%2569111151.22%629123151.10%51890557.24%12628061287446883449
_Vs Conference362570220020212478181510110010957521810601100936726560.7782023515530012410081612227196366031413084733677081073028.04%971782.47%1569111151.22%629123151.10%51890557.24%12628061287446883449
_Vs Division252040110014185561312101000753738128300100664818430.8601412453860012410081684771963660314939325224477852731.76%631182.54%1569111151.22%629123151.10%51890557.24%12628061287446883449

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5780W130952583419632097731562111801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5735162220309207
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29215111017498
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2814111110135109
Derniers 10 matchs
WLOTWOTL SOWSOL
621010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1544327.92%1673479.64%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
71963660314124100816
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
569111151.22%629123151.10%51890557.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12628061287446883449


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
14Charlotte Checkers0Chicago Wolves3WSommaire du match
321Chicago Wolves5Charlotte Checkers7LSommaire du match
641Chicago Wolves8Manitoba Moose4WSommaire du match
749Chicago Wolves7Charlotte Checkers5WSommaire du match
964Charlotte Checkers6Chicago Wolves7WSommaire du match
1188Manitoba Moose4Chicago Wolves2LSommaire du match
14104Texas Stars5Chicago Wolves10WSommaire du match
15113Chicago Wolves2Charlotte Checkers4LSommaire du match
18131Chicago Wolves3Manitoba Moose2WSommaire du match
20150Iowa Wild3Chicago Wolves5WSommaire du match
23170Milwaukee Admirals4Chicago Wolves7WSommaire du match
25184Chicago Wolves1Charlotte Checkers3LSommaire du match
28201Rockford IceHogs1Chicago Wolves3WSommaire du match
29211Chicago Wolves4Milwaukee Admirals6LSommaire du match
32231Chicago Wolves12Texas Stars10WSommaire du match
34243Grand Rapids Griffins2Chicago Wolves5WSommaire du match
37267Charlotte Checkers1Chicago Wolves9WSommaire du match
40284Chicago Wolves3Iowa Wild4LXSommaire du match
42295Chicago Wolves5Lehigh Valley Phantoms2WSommaire du match
44308Hartford Wolf Pack8Chicago Wolves5LSommaire du match
46323Chicago Wolves3Coachella Valley Firebirds2WXSommaire du match
47336Chicago Wolves3Bridgeport Islanders4LSommaire du match
49347Abbotsford Canucks9Chicago Wolves8LXSommaire du match
52368Chicago Wolves1Belleville Senators4LSommaire du match
53379Manitoba Moose2Chicago Wolves6WSommaire du match
56400Charlotte Checkers3Chicago Wolves5WSommaire du match
58413Chicago Wolves4Milwaukee Admirals7LSommaire du match
60428Chicago Wolves4Rockford IceHogs2WSommaire du match
62442Chicago Wolves8Charlotte Checkers5WSommaire du match
63448Rochester Americans3Chicago Wolves4WXXSommaire du match
66474Cleveland Monsters4Chicago Wolves3LSommaire du match
69498Milwaukee Admirals1Chicago Wolves4WSommaire du match
71512Chicago Wolves5Belleville Senators4WSommaire du match
73527Chicago Wolves10Rockford IceHogs4WSommaire du match
74540Texas Stars1Chicago Wolves11WSommaire du match
79565Toronto Marlies4Chicago Wolves13WSommaire du match
82589Chicago Wolves2Calgary Wranglers3LSommaire du match
83597Toronto Marlies4Chicago Wolves2LSommaire du match
87619Chicago Wolves3Tucson Roadrunners1WSommaire du match
88628San Diego Gulls2Chicago Wolves11WSommaire du match
89632Chicago Wolves6Grand Rapids Griffins3WSommaire du match
92662Belleville Senators5Chicago Wolves4LSommaire du match
95681Chicago Wolves1Texas Stars5LSommaire du match
96693Coachella Valley Firebirds3Chicago Wolves4WSommaire du match
100716Rockford IceHogs1Chicago Wolves5WSommaire du match
102731Chicago Wolves2Milwaukee Admirals1WSommaire du match
104748Coachella Valley Firebirds4Chicago Wolves6WSommaire du match
106764Chicago Wolves5Belleville Senators4WXXSommaire du match
109778Chicago Wolves12Texas Stars2WSommaire du match
110787Manitoba Moose4Chicago Wolves5WSommaire du match
113813Iowa Wild5Chicago Wolves9WSommaire du match
115824Chicago Wolves11Henderson Silver Knights2WSommaire du match
116836Chicago Wolves4Bakersfield Condors6LSommaire du match
118852Providence Bruins3Chicago Wolves10WSommaire du match
121871Chicago Wolves1Ontario Reign3LSommaire du match
122882Rockford IceHogs3Chicago Wolves4WXSommaire du match
126908Milwaukee Admirals3Chicago Wolves4WSommaire du match
128925Chicago Wolves-Laval Rocket-
130940Chicago Wolves-Hartford Wolf Pack-
131948Bakersfield Condors-Chicago Wolves-
133956Chicago Wolves-Manitoba Moose-
135976Iowa Wild-Chicago Wolves-
137988Chicago Wolves-Iowa Wild-
138992Chicago Wolves-Manitoba Moose-
1411015Utica Comets-Chicago Wolves-
1431026Chicago Wolves-Providence Bruins-
1451044Colorado Eagles-Chicago Wolves-
1481064Chicago Wolves-Rochester Americans-
1501078Utica Comets-Chicago Wolves-
1531103Chicago Wolves-Grand Rapids Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1541108Hershey Bears-Chicago Wolves-
1581135San Jose Barracuda-Chicago Wolves-
1601152Chicago Wolves-Iowa Wild-
1621167Springfield Thunderbirds-Chicago Wolves-
1641181Chicago Wolves-Wilkes-Barre/Scranton Penguins-
1651192Chicago Wolves-Grand Rapids Griffins-
1671207Grand Rapids Griffins-Chicago Wolves-
1701231Grand Rapids Griffins-Chicago Wolves-
1711235Chicago Wolves-Springfield Thunderbirds-
1751263Syracuse Crunch-Chicago Wolves-
1761271Chicago Wolves-Charlotte Checkers-
1811298Syracuse Crunch-Chicago Wolves-
1831309Chicago Wolves-Rockford IceHogs-
1881338Texas Stars-Chicago Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4828
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
13 0 - 0.00% 0$0$3000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,649,160$ 1,617,116$ 1,617,116$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,467$ 1,013,065$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 64 13,702$ 876,928$




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