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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: Max Arbour | Morale : 40 | Moyenne d’équipe : 58

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMax Arbour
DivisionCentral
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 250
Espoirs36


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
1Nicolas DeslauriersX100.008963736581727163595355695982753340610352875,000$
2Bradly NadeauX100.006834836768816166505465566660617840590212886,667$
3Nikita PavlychevX100.008653715795747756655855595668704140590291750,000$
4Skyler Brind'AmourX100.006536716279866058615062696066674240590261750,000$
5Juha JaaskaX100.006538756476736258606450565467683640570281775,000$
6Givani SmithX100.007443655783686156505250585368706140560281750,000$
7Gleb TrikozovX100.007238945781776256545255535861636840560211862,500$
8Ryan SuzukiX100.006535836574696062615050555664657740560251850,000$
9Evan VierlingX100.005936955768777256605859555764665640560241750,000$
10Blake BiondiX100.006537915474757052565153555264665940540241750,000$
11Cal FooteX100.008541875894666857305954624768707240620271750,000$
12Charles Alexis LegaultX100.006541626390846162306060645162635640610221915,833$
13Joel NystromX100.0057348466688666633068546249636448406002441,225,000$
14Domenick FensoreX100.006733716064906059305050774664656140590241850,000$
15Bryce Montgomery (R)X100.008347545692666854305350594564664840590231854,910$
16Dominik Badinka (R)X100.007140925580668654305352564661637740570203931,350$
Rayé
1Justin RobidasX100.0066338364667760635972675565626355406102300$
2Noah PhilpX100.0067378363837565627855565963676836405902700$
3Josiah SlavinX100.0059376560848660596150507755677341405802700$
4Viktor NeuchevX100.0064379560738677596461575862636466405802200$
5Noel GunlerX100.0067407957767970566159585557646672405702400$
6David GagnonX100.006240755671636654585750535266684240540261750,000$
7Aleksi HeimosalmiX100.006238855871667056305554534662647440560231850,000$
8Kyle MastersX100.0055369356706365553054525345626460405502300$
9Ronan SeeleyX100.0050358350758660503050506343636448405402300$
MOYENNE D’ÉQUIPE100.00683980597776665849565560546566564058
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
1Brandon Bussi100.008869649087868887868887678157406702831,900,000$
Rayé
1Cayden Primeau100.007574708474737574737574677758405902600$
2Amir Miftakhov (R)100.007176737270697170697170667547405702600$
3Nikita Quapp (R)100.006072688559586059586059636949405102300$
MOYENNE D’ÉQUIPE100.0074736983737274737274736676534059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aleksi HeimosalmiChicago Wolves (RDL)D232003-05-08FINNo181 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-09FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Amir MiftakhovChicago Wolves (RDL)G262000-04-26RUSYes172 Lbs6 ft0NoNoDraftNoNo02026-05-25FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Blake BiondiChicago Wolves (RDL)C242002-04-24USANo197 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Bradly NadeauChicago Wolves (RDL)LW212005-05-05CANNo180 Lbs5 ft11NoNoAssign ManuallyNoNo22026-04-25FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Lien / Lien NHL
Brandon BussiChicago Wolves (RDL)G281998-06-25USANo218 Lbs6 ft4NoNoAssign ManuallyNoNo32026-04-15FalseFalsePro & Farm1,900,000$0$0$No1,900,000$1,900,000$-------1,900,000$1,900,000$-------NoNo-------Lien / Lien NHL
Bryce MontgomeryChicago Wolves (RDL)D232002-11-12USAYes230 Lbs6 ft4NoNoDraftNoNo12026-05-25FalseFalsePro & Farm854,910$0$0$No---------------------------Lien / Lien NHL
Cal FooteChicago Wolves (RDL)D271998-12-13CANNo224 Lbs6 ft5NoNoAssign ManuallyNoNo12026-07-06FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Cayden PrimeauChicago Wolves (RDL)G261999-08-11USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Charles Alexis LegaultChicago Wolves (RDL)D222003-09-05CANNo220 Lbs6 ft4NoNoDraftNoNo12026-04-29FalseFalsePro & Farm915,833$0$0$No---------------------------Lien / Lien NHL
David GagnonChicago Wolves (RDL)LW262000-04-19CANNo181 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Domenick FensoreChicago Wolves (RDL)D242001-09-07USANo175 Lbs5 ft9NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Dominik BadinkaChicago Wolves (RDL)D202005-11-27CZEYes183 Lbs6 ft3NoNoDraftNoNo32026-05-25FalseFalsePro & Farm931,350$0$0$No931,350$931,350$-------931,350$931,350$-------NoNo-------Lien / Lien NHL
Evan VierlingChicago Wolves (RDL)C242002-06-20CANNo167 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Givani SmithChicago Wolves (RDL)LW281998-02-27CANNo214 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Gleb TrikozovChicago Wolves (RDL)LW212004-08-12RUSNo201 Lbs6 ft2NoNoAssign ManuallyNoNo12026-04-15FalseFalsePro & Farm862,500$0$0$No---------------------------Lien / Lien NHL
Joel NystromChicago Wolves (RDL)D242002-05-14SWENo178 Lbs5 ft11NoNoDraftNoNo42026-04-29FalseFalsePro & Farm1,225,000$0$0$No1,225,000$1,225,000$1,225,000$------1,225,000$1,225,000$1,225,000$------NoNoNo------Lien / Lien NHL
Josiah SlavinChicago Wolves (RDL)LW271998-12-31USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Juha JaaskaChicago Wolves (RDL)LW281998-02-09FINNo210 Lbs6 ft0NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Justin RobidasChicago Wolves (RDL)C232003-03-13CANNo176 Lbs5 ft8NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Kyle MastersChicago Wolves (RDL)D232003-04-09CANNo177 Lbs6 ft0NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Nicolas DeslauriersChicago Wolves (RDL)LW351991-02-22CANNo218 Lbs6 ft1NoNoAssign ManuallyNoNo22026-06-20FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Nikita PavlychevChicago Wolves (RDL)C291997-03-23RUSNo200 Lbs6 ft7NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Nikita QuappChicago Wolves (RDL)G232003-01-25DEUYes207 Lbs6 ft3NoNoDraftNoNo02026-07-06FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Noah PhilpChicago Wolves (RDL)C271998-08-31CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Noel GunlerChicago Wolves (RDL)RW242001-10-07SWENo176 Lbs6 ft2NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Ronan SeeleyChicago Wolves (RDL)D232002-08-02CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Ryan SuzukiChicago Wolves (RDL)C252001-05-28CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Skyler Brind'AmourChicago Wolves (RDL)C261999-07-27USANo195 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Viktor NeuchevChicago Wolves (RDL)RW222003-10-25RUSNo165 Lbs6 ft2NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2924.90195 Lbs6 ft10.97587,112$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Gleb Trikozov30122
3Gleb Trikozov20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Gleb Trikozov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Gleb Trikozov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Gleb Trikozov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gleb Trikozov, , Gleb Trikozov,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , Gleb Trikozov, ,
Gardien
#1 : , #2 :


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
Capacité20001000
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
0 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,702,626$ 1,702,626$ 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

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