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Chicago Wolves
GP: 84 | W: 61 | L: 20 | OTL: 3 | P: 125
GF: 471 | GA: 316 | PP%: 28.82% | PK%: 75.68%
DG: Dave Asselin | Morale : 99 | Moyenne d’équipe : 68

Centre de jeu
Chicago Wolves
61-20-3, 125pts
8
FINAL
6 Rockford IceHogs
50-30-4, 104pts
Team Stats
W5SéquenceW1
35-5-2Fiche domicile29-11-2
26-15-1Fiche domicile21-19-2
10-0-0Derniers 10 matchs6-4-0
5.61Buts par match 4.86
3.76Buts contre par match 4.07
28.82%Pourcentage en avantage numérique34.47%
75.68%Pourcentage en désavantage numérique75.89%
Texas Stars
7-74-3, 17pts
4
FINAL
10 Chicago Wolves
61-20-3, 125pts
Team Stats
L1SéquenceW5
4-36-2Fiche domicile35-5-2
3-38-1Fiche domicile26-15-1
1-7-2Derniers 10 matchs10-0-0
3.85Buts par match 5.61
9.40Buts contre par match 3.76
12.69%Pourcentage en avantage numérique28.82%
56.83%Pourcentage en désavantage numérique75.68%
Meneurs d'équipe
Brock McGinnButs
Brock McGinn
69
Jakob PelletierPasses
Jakob Pelletier
89
Points
John Farinacci
136
Mike ReillyPlus/Moins
Mike Reilly
61
Victoires
Calle Clang
37
Dustin TokarskiPourcentage d’arrêts
Dustin Tokarski
0.905

Statistiques d’équipe
Buts pour
471
5.61 GFG
Tirs pour
2939
34.99 Avg
Pourcentage en avantage numérique
28.8%
66 GF
Début de zone offensive
34.4%
Buts contre
316
3.76 GAA
Tirs contre
3099
36.89 Avg
Pourcentage en désavantage numérique
75.7%%
63 GA
Début de la zone défensive
37.3%
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
Espoirs23


Historique d'équipe

Saison actuelle61-20-3 (125PTS)
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)XX100.008460947374747466736669817987870997103121$
2Justin KirklandXXX100.00866893737667676685686773777979096690282900,000$
3Jakob PelletierXX100.00706093766677776879696970797575099690241842,000$
4Ivan MiroshnichenkoX100.00826094737569696665686768777272099680211950,000$
5Jonah GadjovichXX100.00939591688079796378636868787878093680261775,000$
6John Farinacci (R)X100.00786085756760607280627068806767099670242775,000$
7Rory Kerins (R)X100.00656085746561617171766566756666097670232775,000$
8Jonathan Lekkerimaki (R)XX100.00676091726970706565666966796969099660201918,333$
9Issac Howard (R)XX100.00616092716964646465627166817070097650213950,000$
10Andrew AgozzinoXX100.00646095697260606268646666768585098640341775,000$
11Nick SwaneyX100.006260856565606060656265657569690376202721$
12Troy Stecher (C)X100.00696391727190906865686778779898099710311787,500$
13Mike Reilly (A)X100.006760927378747469657266727697970997003111,250,000$
14Mark FriedmanX100.00776594707366666665666574759090099680291775,000$
15Kyle CapobiancoX100.00686075707761616565656668768888099660272775,000$
16Hardy Haman AktellX100.006360847070606066656665697573730996502611$
17Nathan ClurmanX100.00666075706960606565656568757373095640272775,000$
Rayé
1Ben McCartneyX100.00606085656660606065626565756767019620231775,000$
2Brandon GignacX100.006160856665606061686266687669690516202721$
3Carter Mazur (R)X100.00606085666560606065626565756666067620231905,833$
4Logan Morrisson (R)X100.006060606060606060606060606060600205802211$
5Taige Harding (R)X100.00606060606060606060606060606060020580232880,000$
MOYENNE D’ÉQUIPE100.0069628670706666656865666875757508166
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 Tokarski100.00808080818383838383838096960988503511$
2Calle Clang (R)100.0080808080808080808080808080093820232775,000$
Rayé
1Michael DiPietro100.0080808080818080808080808282042820261812,500$
MOYENNE D’ÉQUIPE100.008080808081818181818180868607883
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
1John FarinacciChicago Wolves (CAR)C8456801365173514010433511623816.72%30149617.81161430621740003337354.92%139314327141.8201001685
2Jakob PelletierChicago Wolves (CAR)C/LW844689135491209613928410821916.20%49177021.084212539174101112094155.57%115917246011.5223000766
3Brock McGinnChicago Wolves (CAR)LW/RW836965134578018015440912222516.87%92186122.431061643158101122007959.34%9114259061.44110001473
4Justin KirklandChicago Wolves (CAR)C/LW/RW8443661095169451871082598317216.60%60171520.42418223017101192077352.00%10011959011.2714333485
5Jonathan LekkerimakiChicago Wolves (CAR)C/RW8442631055020091942316816718.18%40146217.411282038173000005051.74%40213122001.4411000266
6Rory KerinsChicago Wolves (CAR)C8528639111315106942577715410.89%33148217.446152147201000085154.07%125211030001.2300001325
7Issac HowardChicago Wolves (CAR)LW/RW73325688488048511937012416.58%31130117.83391231149000002240.00%759529001.3501000534
8Troy StecherChicago Wolves (CAR)D8432528459743082163187799517.11%191200623.895813241620226208500%060114010.8400203164
9Ivan MiroshnichenkoChicago Wolves (CAR)LW662943724410010949162658417.90%2399615.09101621000023156.76%376725011.4500000223
10Jonah GadjovichChicago Wolves (CAR)LW/RW842243653924112517977140609215.71%33147317.545510189401171912149.31%2905337000.88131267104
11Mike ReillyChicago Wolves (CAR)D841740576136071109113505515.04%122179721.40000031013184210%05981000.6301000103
12Kyle CapobiancoChicago Wolves (CAR)D84153651378401068590453616.67%99172820.584812161880222159400%03078000.5900000121
13Mark FriedmanChicago Wolves (CAR)D8412395139282094125109586211.01%152182021.671910231871123225200%02685000.5600013114
14Andrew AgozzinoChicago Wolves (CAR)C/LW8217324921004159105226816.19%1888610.8101109000094050.47%5333413111.1100000031
15Nathan ClurmanChicago Wolves (CAR)D7192332398715686870192312.86%66113415.9800000000260210%01547010.5600011011
16Hardy Haman AktellChicago Wolves (CAR)D8411132444320396958282618.97%74126215.030000400000110%02066000.3800000001
17Brandon GignacChicago Wolves (CAR)C49210121114017304614264.35%93737.6200000000000047.62%2521011000.6400000000
18Carter MazurChicago Wolves (CAR)LW4416710601616257234.00%103568.1000000000000047.83%23145000.3900000000
19Nick SwaneyChicago Wolves (CAR)RW30055322103124268190%240313.4600027000000035.00%20510000.2500011000
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 moyenne144748482513097298632551719163531131106191415.55%11482562417.717112219337918844711581718622453.32%563213108552161.02615171220485556
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)52371210.8993.6730074018418161022400.85775124311
2Dustin TokarskiChicago Wolves (CAR)3121420.9053.46168100971018537100.80052746110
3Michael DiPietroChicago Wolves (CAR)73400.8685.6037501352651510000614100
Statistiques d’équipe totales ou en moyenne90612030.8983.755063413163099171050128484521


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$12,173$0$0$No---------------------------Lien NHL
Ben McCartneyChicago Wolves (CAR)LW232001-07-13CANNo182 Lbs6 ft0NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm775,000$12,173$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$12,173$0$0$No1$--------1$--------No--------
Carter MazurChicago Wolves (CAR)LW232002-03-28USAYes170 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-03FalseFalsePro & Farm905,833$14,228$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$14,921$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$14,921$0$0$No---------------------------
Jakob PelletierChicago Wolves (CAR)C/LW242001-03-07CANNo165 Lbs5 ft9NoNoTrade2025-08-06YesYes12025-07-03FalseFalsePro & Farm842,000$13,225$0$0$No---------------------------Lien NHL
John FarinacciChicago Wolves (CAR)C242001-02-14USAYes185 Lbs6 ft0NoNoAssign ManuallyNoNo22025-08-06FalseFalsePro & Farm775,000$12,173$0$0$No1$--------1$--------No--------
Jonah GadjovichChicago Wolves (CAR)LW/RW261998-10-12CANNo200 Lbs6 ft2NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm775,000$12,173$0$0$No---------------------------Lien NHL
Jonathan LekkerimakiChicago Wolves (CAR)C/RW202004-07-24SWEYes172 Lbs5 ft11NoNoAssign ManuallyNoNo12025-07-03FalseFalsePro & Farm918,333$14,424$0$0$No---------------------------
Justin KirklandChicago Wolves (CAR)C/LW/RW281996-08-02CANNo185 Lbs6 ft3NoNoFree AgentYesYes22025-08-11FalseFalsePro & Farm900,000$14,136$0$0$No900,000$--------900,000$--------No--------Lien NHL
Kyle CapobiancoChicago Wolves (CAR)D271997-08-13CANNo179 Lbs6 ft1NoNoAssign ManuallyYesYes22025-07-03FalseFalsePro & Farm775,000$12,173$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$12,173$0$0$No---------------------------Lien NHL
Michael DiPietroChicago Wolves (CAR)G261999-06-09CANNo200 Lbs6 ft0NoNoAssign ManuallyYesYes12025-07-03FalseFalsePro & Farm812,500$12,762$0$0$No---------------------------Lien NHL
Mike ReillyChicago Wolves (CAR)D311993-07-13USANo196 Lbs6 ft2NoNoFree AgentYesYes12025-08-19FalseFalsePro & Farm1,250,000$19,634$0$0$No---------------------------Lien NHL
Nathan ClurmanChicago Wolves (CAR)D271998-05-08USANo205 Lbs6 ft2NoNoFree AgentYesYes22025-08-07FalseFalsePro & Farm775,000$12,173$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$12,173$0$0$No1$--------1$--------No--------
Taige HardingChicago Wolves (CAR)D232002-01-03SCOYes238 Lbs6 ft7NoNoProspectNoNo22025-08-18FalseFalsePro & Farm880,000$13,822$0$0$No1$--------1$--------No--------
Troy StecherChicago Wolves (CAR)D311994-04-07CANNo190 Lbs5 ft10NoNoFree Agent2025-03-09YesYes12025-08-06FalseFalsePro & Farm787,500$12,369$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 KerinsJustin Kirkland34014
2Brock McGinnJohn FarinacciIssac Howard34014
3Ivan MiroshnichenkoJonathan LekkerimakiJonah Gadjovich22023
4Jonah GadjovichAndrew 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 : Calle Clang, #2 : Dustin Tokarski
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 Canucks1000010089-11000010089-10000000000010.50081321001741691229361065957909203779234250.00%2150.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
2Bakersfield Condors2110000089-1110000004311010000046-220.5008162400174169122972106595790920742420488112.50%10280.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
3Belleville Senators412000101517-21010000045-1311000101112-140.50015233800174169122914010659579092016949368010220.00%18383.33%0871166052.47%950180052.78%766136955.95%1879120018816561302663
4Bridgeport Islanders1010000034-1000000000001010000034-100.000336001741691229341065957909204517824200.00%4175.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
5Calgary Wranglers1010000023-1000000000001010000023-100.0002460017416912292610659579092030202517200.00%5180.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
6Charlotte Checkers107300000523814440000002410146330000028280140.700529014201174169122935910659579092031911410520122627.27%30873.33%0871166052.47%950180052.78%766136955.95%1879120018816561302663
7Cleveland Monsters1010000034-11010000034-10000000000000.000369001741691229331065957909203711414400.00%20100.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
8Coachella Valley Firebirds3200100013942200000010731000100032161.00013233600174169122911110659579092097272964400.00%6183.33%0871166052.47%950180052.78%766136955.95%1879120018816561302663
9Colorado Eagles11000000523110000005230000000000021.0005813001741691229401065957909204315414200.00%20100.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
10Grand Rapids Griffins6600000041162533000000226163300000019109121.00041711120017416912292171065957909201971046512615533.33%23578.26%0871166052.47%950180052.78%766136955.95%1879120018816561302663
11Hartford Wolf Pack202000001016-61010000058-31010000058-300.00010162600174169122971106595790920753129367457.14%220.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
12Henderson Silver Knights1100000011290000000000011000000112921.0001118290017416912293510659579092031151121100.00%30100.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
13Hershey Bears11000000541110000005410000000000021.000571200174169122934106595790920308427300.00%2150.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
14Iowa Wild6310011029281330000002114730100110814-690.75029417000174169122918710659579092026499759711436.36%16475.00%1871166052.47%950180052.78%766136955.95%1879120018816561302663
15Laval Rocket1010000035-2000000000001010000035-200.00036900174169122935106595790920342210185120.00%5340.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
16Lehigh Valley Phantoms11000000523000000000001100000052321.00059140017416912293510659579092034126223133.33%30100.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
17Manitoba Moose752000003026432100000131034310000017161100.714305383001741691229232106595790920249846013727829.63%17758.82%1871166052.47%950180052.78%766136955.95%1879120018816561302663
18Milwaukee Admirals6420000025223330000001587312000001014-480.667254368001741691229203106595790920233854512623834.78%100100.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
19Ontario Reign1010000013-2000000000001010000013-200.0001120017416912293110659579092042161321100.00%4175.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
20Providence Bruins220000002081211000000103711000000105541.0002032520017416912296710659579092077346464125.00%3166.67%0871166052.47%950180052.78%766136955.95%1879120018816561302663
21Rochester Americans210000101073100000104311100000064241.00010132300174169122961106595790920833525404375.00%10190.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
22Rockford IceHogs6500100034171732001000125733000000221210121.000345892001741691229194106595790920198675312319526.32%14378.57%0871166052.47%950180052.78%766136955.95%1879120018816561302663
23San Diego Gulls1100000011291100000011290000000000021.0001119300017416912293210659579092037103318100.00%40100.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
24San Jose Barracuda11000000422110000004220000000000021.000461000174169122933106595790920311219256116.67%7185.71%0871166052.47%950180052.78%766136955.95%1879120018816561302663
25Springfield Thunderbirds210010001284110000006331000100065141.0001220320017416912299110659579092074232737400.00%6266.67%0871166052.47%950180052.78%766136955.95%1879120018816561302663
26Syracuse Crunch220000001951422000000195140000000000041.00019335200174169122973106595790920623113474125.00%4175.00%1871166052.47%950180052.78%766136955.95%1879120018816561302663
27Texas Stars65100000562729330000003110213210000025178100.83356102158001741691229227106595790920241767410720840.00%22577.27%0871166052.47%950180052.78%766136955.95%1879120018816561302663
28Toronto Marlies2110000015872110000015870000000000020.5001525400017416912298410659579092099291832100.00%9455.56%1871166052.47%950180052.78%766136955.95%1879120018816561302663
29Tucson Roadrunners11000000312000000000001100000031221.00035800174169122937106595790920331910203133.33%50100.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
30Utica Comets21000100990210001009900000000000030.7509172600174169122978106595790920842414375240.00%7442.86%0871166052.47%950180052.78%766136955.95%1879120018816561302663
31Wilkes-Barre/Scranton Penguins11000000936000000000001100000093621.000915240017416912293110659579092040108194250.00%4175.00%0871166052.47%950180052.78%766136955.95%1879120018816561302663
Total84552003330471316155423350121026014012042221502120211176351250.744471796126701174169122929391065957909203099113085816672296628.82%2596375.68%4871166052.47%950180052.78%766136955.95%1879120018816561302663
_Since Last GM Reset84552003330471316155423350121026014012042221502120211176351250.744471796126701174169122929391065957909203099113085816672296628.82%2596375.68%4871166052.47%950180052.78%766136955.95%1879120018816561302663
_Vs Conference503690221028117810325221011001567878251480111012510025800.800281481762001741691229171310659579092018376805459871474329.25%1503179.33%2871166052.47%950180052.78%766136955.95%1879120018816561302663
_Vs Division352860111019413163171610100010352511812500110917912610.871194330524001741691229121110659579092013354683486611093431.19%922177.17%2871166052.47%950180052.78%766136955.95%1879120018816561302663

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
84125W54717961267293930991130858166701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8455203330471316
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
423351210260140
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4222152120211176
Derniers 10 matchs
WLOTWOTL SOWSOL
901000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2296628.82%2596375.68%4
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
1065957909201741691229
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
871166052.47%950180052.78%766136955.95%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1879120018816561302663


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 Wolves3Laval Rocket5LSommaire du match
130940Chicago Wolves5Hartford Wolf Pack8LSommaire du match
131948Bakersfield Condors3Chicago Wolves4WSommaire du match
133956Chicago Wolves2Manitoba Moose7LSommaire du match
135976Iowa Wild6Chicago Wolves7WSommaire du match
137988Chicago Wolves1Iowa Wild7LSommaire du match
138992Chicago Wolves4Manitoba Moose3WSommaire du match
1411015Utica Comets5Chicago Wolves6WSommaire du match
1431026Chicago Wolves10Providence Bruins5WSommaire du match
1451044Colorado Eagles2Chicago Wolves5WSommaire du match
1481064Chicago Wolves6Rochester Americans4WSommaire du match
1501078Utica Comets4Chicago Wolves3LXSommaire du match
1531103Chicago Wolves6Grand Rapids Griffins3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1541108Hershey Bears4Chicago Wolves5WSommaire du match
1581135San Jose Barracuda2Chicago Wolves4WSommaire du match
1601152Chicago Wolves4Iowa Wild3WXXSommaire du match
1621167Springfield Thunderbirds3Chicago Wolves6WSommaire du match
1641181Chicago Wolves9Wilkes-Barre/Scranton Penguins3WSommaire du match
1651192Chicago Wolves7Grand Rapids Griffins4WSommaire du match
1671207Grand Rapids Griffins2Chicago Wolves10WSommaire du match
1701231Grand Rapids Griffins2Chicago Wolves7WSommaire du match
1711235Chicago Wolves6Springfield Thunderbirds5WXSommaire du match
1751263Syracuse Crunch4Chicago Wolves10WSommaire du match
1761271Chicago Wolves5Charlotte Checkers4WSommaire du match
1811298Syracuse Crunch1Chicago Wolves9WSommaire du match
1831309Chicago Wolves8Rockford IceHogs6WSommaire du match
1881338Texas Stars4Chicago Wolves10WSommaire du match



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
0 0 - 0.00% 0$0$3000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,484,982$ 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$ 1,529,552$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 13,702$ 41,106$




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