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Chicago Wolves
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Patrik Andersson | Morale : 50 | Moyenne d’équipe : 59
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPatrik Andersson
EntraîneurAnders Sorensen
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité7,500
Assistance
Billets de saison750


Informations de la formation

Équipe Pro19
Équipe Mineure17
Limite contact 36 / 50
Espoirs19


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique215-114-26 (0.606%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)21 - 24 (0.467%)
Coupe Stanley0


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Alexander Holtz0XX100.00784095716864677151766756515446050650241839,725$
2Dominik Shine0X100.00726394666055746648636863606455050610332875,000$
3Dominic Toninato45X100.00705783646050806475646456576254050590321975,000$
4Walker Duehr71XX100.00643693616150856255586261555450050570282875,000$
5Quentin Musty0X100.00715785636350856345616455574242050570202909,166$
6Lucas Mercuri0XX100.00816875586550885955565867524847050570251913,750$
7Gracyn Sawchyn0XX100.0057319161535072635563585854434305055X0212934,166$
8Elias Salomonsson0X100.00833991686974696725615882464343050650211815,000$
9Jack St. Ivany0X100.00894290677468605725705381354544050650261775,000$
10Cale Fleury0X100.00886896607368635525585779365045050630271890,000$
11Zayne Parekh0X100.00683694696971717025616672454340050630202953,750$
12Juuso Valimaki0X100.00673689686250686825615771555249050600271900,000$
13Carter Yakemchuk0X100.00665587656150816225615559524242050550203941,667$
14Joey Willis0X100.00603391595550825825545362494343050530212960,000$
15Quinton Burns0X100.00767767545950704925524567424343050530212938,333$
Rayé
1Ville Koivunen0XX100.0068579370606772737572656461444405063X02300$
2Justin Robidas0X100.006034936553508364756666625845450505802300$
3Leo Loof0X100.006554875459507851255048684446460505302400$
MOYENNE D’ÉQUIPE100.0071498964625775624262596651484605059
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Spencer Martin0100.0062564679616367616179616459050590311850,000$
Rayé
MOYENNE D’ÉQUIPE100.006256467961636761617961645905059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Anders Sorensen6469647470671SWE5122,010,000$


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
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


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
Alexander Holtz (contrat à 1 volet)Chicago Wolves (CAR)LW/RW242002-01-23SWENo89 Kg183 CMNoNoTrade2026-03-08YesNo12025-10-13FalseFalsePro & Farm839,725$839,725$0$0$No---------------------------Lien / Lien NHL
Cale Fleury (contrat à 1 volet)Chicago Wolves (CAR)D271998-11-19CANNo93 Kg185 CMNoNoN/AYesNo12025-06-26FalseFalsePro & Farm890,000$890,000$0$0$No---------------------------Lien / Lien NHL
Carter YakemchukChicago Wolves (CAR)D202005-09-29CANNo83 Kg188 CMNoNoDraftNoNo32026-06-07FalseFalsePro & Farm941,667$941,667$0$0$No941,667$941,667$-------941,667$941,667$-------NoNo-------Lien / Lien NHL
Dominic ToninatoChicago Wolves (CAR)C321994-03-09USANo82 Kg185 CMNoNoAssign Manually2024-03-10NoNo12025-08-23FalseFalsePro & Farm975,000$975,000$0$0$No---------------------------Lien / Lien NHL
Dominik Shine (contrat à 1 volet)Chicago Wolves (CAR)RW331993-04-18USANo85 Kg180 CMNoNoAssign ManuallyYesNo22026-06-07FalseFalsePro & Farm875,000$875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Elias SalomonssonChicago Wolves (CAR)D212004-08-31SWENo78 Kg183 CMNoNoTrade2025-07-22NoNo12025-06-08FalseFalsePro & Farm815,000$815,000$0$0$No---------------------------Lien / Lien NHL
Gracyn SawchynChicago Wolves (CAR)LW/RW212005-01-19CANNo67 Kg178 CMNoYesProspectNoNo22026-06-07FalseFalsePro & Farm934,166$934,166$0$0$No934,166$--------934,166$--------No--------Lien
Jack St. IvanyChicago Wolves (CAR)D261999-07-22USANo90 Kg191 CMNoNoTrade2025-08-27NoNo12024-06-12FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien / Lien NHL
Joey WillisChicago Wolves (CAR)D212005-03-14USANo77 Kg178 CMNoNoProspectNoNo22026-06-07FalseFalsePro & Farm960,000$960,000$0$0$No960,000$--------960,000$--------No--------Lien
Justin RobidasChicago Wolves (CAR)C232003-03-13USANo79 Kg170 CMNoNoProspectNoNo02025-06-09FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Juuso Valimaki (contrat à 1 volet)Chicago Wolves (CAR)D271998-10-06FINNo91 Kg188 CMNoNoTrade2025-06-11YesNo12026-07-02FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------Lien / Lien NHL
Leo LoofChicago Wolves (CAR)D242002-04-05SWENo81 Kg185 CMNoNoProspectNoNo02024-06-05FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Lucas MercuriChicago Wolves (CAR)LW/RW252001-03-07CANNo100 Kg191 CMNoNoProspectYesNo12026-06-07FalseFalsePro & Farm913,750$913,750$0$0$No---------------------------Lien
Quentin MustyChicago Wolves (CAR)LW202005-07-06USANo92 Kg188 CMNoNoProspectNoNo22026-06-07FalseFalsePro & Farm909,166$909,166$0$0$No909,166$--------909,166$--------No--------Lien
Quinton BurnsChicago Wolves (CAR)D212005-04-14CANNo77 Kg188 CMNoNoProspectNoNo22026-06-07FalseFalsePro & Farm938,333$938,333$0$0$No938,333$--------938,333$--------No--------Lien
Spencer Martin (contrat à 1 volet)Chicago Wolves (CAR)G311995-06-08CANNo87 Kg191 CMNoNoTrade2025-10-30YesNo12026-06-07FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Ville KoivunenChicago Wolves (CAR)LW/RW232003-06-13FINNo73 Kg180 CMNoYesDraftNoNo02025-06-09FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Walker DuehrChicago Wolves (CAR)LW/RW281997-11-23USANo87 Kg185 CMNoNoAssign ManuallyYesNo22026-06-17FalseFalsePro & Farm875,000$875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Zayne ParekhChicago Wolves (CAR)D202006-02-15CANNo81 Kg183 CMNoNoDraftNoNo22026-06-07FalseFalsePro & Farm953,750$953,750$0$0$No953,750$--------953,750$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1924.5884 Kg185 CM1.32755,029$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
130023
2Alexander Holtz28023
322023
420023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
136023
234023
3Jack St. IvanyCale Fleury30032
4Jack St. Ivany0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160014
240014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander Holtz60023
2Cale Fleury40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160041
240041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack St. Ivany60041
2Cale Fleury40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160041Jack St. Ivany60041
24004140041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160023
240023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160032
2Jack St. Ivany40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack St. Ivany
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Cale Fleury, Jack St. Ivany
Tirs de pénalité
, Alexander Holtz, , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , Alexander Holtz, , , , , ,
Lignes de défense personnalisées en prolongation
, , , Jack St. Ivany, Cale Fleury


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50002500
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0%0$0$7500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 999,084$ 999,084$ 2,010,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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
1Curtis McKenzie2125988147271594012806299.38%60366817.3018314914102299539.92%20.8025
2Brandon Gignac2165387140187223449751910.21%38355616.47143044730441613254.81%00.7926
3Mackenzie MacEachern212446711120572832905288.33%49343216.199223181000611439.48%00.6514
4Christian Wolanin1452066868531261702059.76%169291920.13923328810156250.00%00.5900
5Jack Drury1232757841122702363028.94%9187215.227243110700034249.80%00.9000

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
1Eetu Makiniemi70491830.9162.4442324617220470110.91712
2Charlie Lindgren74432560.9182.45447410418322250210.83324
3Mads Sogaard72372870.9212.7343486019825031321270.76913
4Spencer Martin63352050.8623.3436872220514900210.80015
5Beck Warm40221170.9012.38242022969670200.8899

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
Saison régulière
202172402102612232183493623100111013591443617110150297925942324146460590786132091694648734271833541121514644757716.21%5067086.17%71342248354.05%1289236954.41%554106951.82%171211301705574933464
20227238190734124618462361611061111249925362280123012285371022464396851690707514232577371481739211262966716533086721.75%2774384.48%21324240155.14%1290238754.04%613113454.06%175511971661544946477
20237236240354022117447362290203011576393614150151010698891221385606149366559230874377577633216261975215973317221.75%2983986.91%31258245751.20%1192245448.57%572111051.53%173811771675552944482
202472292805631206206036151402311103106-3361414033201031003812063455517038798110265279093189846251081443917401334030.08%1685368.45%5755152149.64%818163849.94%534102252.25%151083214766791372678
2025723722035322742403436171201420142130123620100211213211022932744897631210394719200666367264847171952388812573578323.25%3848478.13%71289236654.48%1237215957.30%715123158.08%178712061600558971498
Total Saison régulière36018011402025156117998719218093560129826195021171808758081674560485754611179207232511017414387343451138236633740387319210336312639617711160433921.13%163328982.30%2459681122853.15%58261100752.93%2988556653.68%850455468119290951672602
Séries éliminatoires
2021514000001217-531200000910-12020000037-42122335004611183565458151634410513631516.13%49883.67%011721654.17%11620556.59%397254.17%12983132447034
20221910900000494541046000002427-3963000002518720498713611132114159820020917712534170170425901415.56%761284.21%033566550.38%31461451.14%15930352.48%470316441149259131
202314770000039363633000001310384400000262601439741131114914246913915215820385106110311751418.67%40880.00%025652648.67%25045455.07%10721450.00%34924031910918896
20257340000024195413000001212032100000127562444680081060239766381191675668114451124.44%32875.00%015128353.36%12620461.76%6611258.93%1931321595610153
Total Séries éliminatoires45212400000124117723914000005859-122121000000665884212422835222394635414894714784746612493764539862414418.26%1973681.73%0859169050.83%806147754.57%37170152.92%11437721053360619315

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
1Vasili Ponomarev33514192143965875.75%559918.162683200012048.33%00.6300
2Seth Jarvis18144186023227319.18%330116.734151900004054.95%01.2000
3Curtis McKenzie339918-4187043929.78%760118.232572000022039.47%00.6000
4Vinnie Hinostroza1451217004264710.64%028020.0637102100011016.67%11.2100
5Mackenzie MacEachern33971602159528210.98%851315.564591200012036.00%00.6200

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
1Eetu Makiniemi1910630.9172.261170014453300100
2Charlie Lindgren147700.9052.54826213536700100
3Spencer Martin73130.8862.52452001916700000
4Max Lagace41210.9042.89270001313600000
5Beck Warm10100.8524.07590042700000