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Chicago Wolves
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Camil Costandi | Morale : 1 | Moyenne d’équipe : 56
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Meneurs d'équipe

Statistiques d’équipe
Information d’équipe

Directeur généralCamil Costandi
EntraîneurKevin Dean
DivisionMarcel Dionne
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Information formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 55
Espoirs27


Historique d'équipe

Saison actuelle0-0
Historique241-275-49 (0.427%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)0-0
Stanley Cup0


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
1Tyson Foerster (R)X100.007572815872656663795667646444446530590193894,167$
2Vitaly Kravtsov (R)XX100.006342936571626060256059632545456136570213925,000$
3Adam Helewka (R)X100.008176946876575857505950664844446026570251750,000$
4C.J. SuessX100.007569896069666958504962635944446225570271725,000$
5Hudson FaschingX100.007774856574555556506244664253535726560251750,000$
6Buddy RobinsonX100.008146996688475457355257527556575732560291750,000$
7Andrew OglevieX100.006763776363575761765761605844446123560261750,000$
8Daniel CarrXX100.006941847868535550244856542560605932550291750,000$
9Cole Smith (R)X100.007874875874565656505058645544445931550251792,500$
10Cody McLeodXX100.006175296175535551504346634480825027540371750,000$
11Brett GallantX100.006270426370515348503850574855555026510321750,000$
12Doyle SomerbyX100.008383836283616550254340673852525431590261800,000$
13Simon BenoitX100.007973926473707747254143623844445445580221925,000$
14Kevin CzuczmanX100.008276956676576046253739643746465228570301750,000$
15Ian McCoshenX100.007680686080555752254939643750505342570251750,000$
16Cavan FitzgeraldX100.007671886571545651254442644054545431570242750,000$
17Josh BrookX100.007171726971677152254941603944445426570221910,833$
Rayé
1Gabriel DumontXX100.006469537069626267806464636158596412610301750,000$
2C.J. SmithXXX100.006966766866585766506562655955556443600261750,000$
3Mitchell StephensX100.006269476569615969807259595848496320590241737,500$
4Adam JohnsonXX100.007164876264595865805967636445456519580272800,000$
5William Lockwood (R)X100.007063866063565658505656615344445920550231925,000$
6Calle RosenX100.007269787069596156254551644856565820590271750,000$
7Oskari Laaksonen (R)X100.007264926164606254255341613944445519560212925,000$
8Linus Hogberg (R)X100.007566976566596249254141613944445319550221900,000$
MOYENNE D’ÉQUIPE100.00726779647158605644525262485050582857
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
1Craig Anderson100.0050596873504945534948447677512855X24016,999,999$
2Michael McNiven (R)100.00525467775054575955553044445443550231750,000$
3Kyle Keyser (R)100.00544759695755545956553044445448550222733,333$
Rayé
1Devin Cooley (R)100.00474354834847505349493044444920510242785,000$
MOYENNE D’ÉQUIPE100.0051516276515152565252345252523554
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dean67797063787371USA52160,000$


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam HelewkaChicago Wolves (QUE)LW251995-07-20Yes205 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Adam JohnsonChicago Wolves (QUE)C/LW271994-06-22No174 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Andrew OglevieChicago Wolves (QUE)RW261995-02-15No176 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Brett GallantChicago Wolves (QUE)LW321988-12-27No191 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Buddy RobinsonChicago Wolves (QUE)RW291991-09-29No232 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
C.J. SmithChicago Wolves (QUE)C/LW/RW261994-11-30No184 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
C.J. SuessChicago Wolves (QUE)LW271994-03-16No190 Lbs5 ft11NoNoNo1Pro & Farm725,000$0$0$NoLien
Calle RosenChicago Wolves (QUE)D271994-02-01No186 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Cavan FitzgeraldChicago Wolves (QUE)D241996-08-22No190 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Cody McLeodChicago Wolves (QUE)LW/RW371984-06-26No204 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Cole SmithChicago Wolves (QUE)LW251995-10-28Yes195 Lbs6 ft3NoNoNo1Pro & Farm792,500$0$0$NoLien / Lien NHL
Craig AndersonChicago Wolves (QUE)G401981-05-21No186 Lbs6 ft2YesYesNo1Pro & Farm6,999,999$0$0$NoLien / Lien NHL
Daniel CarrChicago Wolves (QUE)LW/RW291991-11-01No186 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Devin CooleyChicago Wolves (QUE)G241997-05-24Yes192 Lbs6 ft5NoNoNo2Pro & Farm785,000$0$0$No785,000$Lien / Lien NHL
Doyle SomerbyChicago Wolves (QUE)D261994-07-04No218 Lbs6 ft6NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Gabriel DumontChicago Wolves (QUE)C/RW301990-10-06No195 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Hudson FaschingChicago Wolves (QUE)RW251995-07-28No204 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Ian McCoshenChicago Wolves (QUE)D251995-08-05No218 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Josh BrookChicago Wolves (QUE)D221999-06-17No192 Lbs6 ft1NoNoNo1Pro & Farm910,833$0$0$NoLien / Lien NHL
Kevin CzuczmanChicago Wolves (QUE)D301991-01-09No206 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Kyle KeyserChicago Wolves (QUE)G221999-03-08Yes178 Lbs6 ft2NoNoNo2Pro & Farm733,333$0$0$No733,333$Lien / Lien NHL
Linus HogbergChicago Wolves (QUE)D221998-09-04Yes176 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien NHL
Michael McNivenChicago Wolves (QUE)G231997-07-08Yes203 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Mitchell StephensChicago Wolves (QUE)C241997-02-05No190 Lbs5 ft11NoNoNo1Pro & Farm737,500$0$0$NoLien / Lien NHL
Oskari LaaksonenChicago Wolves (QUE)D211999-07-02Yes165 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Simon BenoitChicago Wolves (QUE)D221998-09-19No191 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Tyson FoersterChicago Wolves (QUE)C192002-01-18Yes194 Lbs6 ft2NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien NHL
Vitaly KravtsovChicago Wolves (QUE)LW/RW211999-12-23Yes189 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
William LockwoodChicago Wolves (QUE)RW231998-06-20Yes172 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.97192 Lbs6 ft11.311,009,598$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1C.J. SuessVitaly Kravtsov40122
2Adam HelewkaTyson FoersterAndrew Oglevie30122
3Cole SmithBuddy Robinson20122
4Daniel CarrTyson FoersterHudson Fasching10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Doyle SomerbySimon Benoit40122
2Kevin CzuczmanIan McCoshen30122
3Cavan FitzgeraldJosh Brook20122
4Doyle SomerbySimon Benoit10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1C.J. SuessVitaly Kravtsov60122
2Adam HelewkaTyson FoersterAndrew Oglevie40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Doyle SomerbySimon Benoit60122
2Kevin CzuczmanIan McCoshen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyson Foerster60122
2C.J. SuessVitaly Kravtsov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Doyle SomerbySimon Benoit60122
2Kevin CzuczmanIan McCoshen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Doyle SomerbySimon Benoit60122
2Tyson Foerster40122Kevin CzuczmanIan McCoshen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyson Foerster60122
2C.J. SuessVitaly Kravtsov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Doyle SomerbySimon Benoit60122
2Kevin CzuczmanIan McCoshen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
C.J. SuessVitaly KravtsovDoyle SomerbySimon Benoit
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
C.J. SuessVitaly KravtsovDoyle SomerbySimon Benoit
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cody McLeod, Brett Gallant, Buddy RobinsonCody McLeod, Brett GallantBuddy Robinson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cavan Fitzgerald, Josh Brook, Kevin CzuczmanCavan FitzgeraldJosh Brook, Kevin Czuczman
Tirs de pénalité
, Tyson Foerster, C.J. Suess, Vitaly Kravtsov, Adam Helewka
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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 billets2510
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,927,833$ 4,012,833$ 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 (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
1Adam Johnson338245346591-84470496704168514.54%311809623.95531381911594042223056.42%151.46524
2Morgan Klimchuk32820024044032292512440116817.12%208611618.6560681281440008241241.43%81.4400
3Patrick Brown304144240384-9228850856088816.22%228609620.05406010096808812849.52%81.26812
4Vitali Kravtsov3281881923803618842446898419.11%160573717.495624801280000281639.34%81.3200
5C.J. Smith200135204339-13420329257384715.94%225498624.933457918700094842.97%41.36416

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
1Pat Nagle2129680240.8924.2012339008648004440420160.25016
2Kyle Keyser1494473220.8725.047958160669523832101100.54951
3Michael McNiven35101430.8685.031812401521155676310.5008
4David Ayres120800.8476.795300060392264000.0000

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
201682244405612349428-7941112204310177215-3841132201302172213-41483495909395083131129626587039619604630501020127114871999547.74%1836763.39%4825168249.05%796161049.44%754151149.90%156679117297931661833
201782225002323252325-7341102601121134179-4541122401202118146-284425240665821618510292121605713783372980101375815121756436.57%2045871.57%7659132749.66%830182545.48%595124747.71%150267817437851708899
2018824720084123783116741258042021951474841221204210183164199437859597300711721261029008271080956472862977209217872328034.48%2707273.33%6864167951.46%1012193452.33%735147449.86%165086317117901596795
20198240330420346844028412612021002522025041142102103216238-22804687691237101112001534324510111219998263218102391914132188940.83%2087862.50%6779168346.29%778166846.64%756166345.46%172299717207481504742
202082303902614388393-541171900203211203841132002411177190-1376388614100250901581376270375510189113532561118107914442149242.99%2057563.41%5776155649.87%889182948.61%739154047.99%155779017977761605821
202082303902614388393-541171900203211203841132002411177190-1376388614100250901581376270375510189113532561118107914442149242.99%2057563.41%5776155649.87%889182948.61%739154047.99%155779017977761605821
202178155003415335467-1323952601313155239-8439102402102180228-484733554487920691311316287077510131057412930991156315511888243.62%2449162.70%3798165748.16%700149346.89%748153848.63%154482216687491510734
Total Saison régulière5702082750263172325582757-1992851111320121441213351388-53285971430141731112231369-14646525584132669020157510359154719200543170226576267215527260876110638144059441.25%151951666.03%3654771114049.17%58941218848.36%50661051348.19%110995733121685419111945648

Chicago Wolves Leaders statistiques (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