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Chicago Wolves
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Erik Beheim | Morale : 19 | Moyenne d’équipe : 53
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralErik Beheim
EntraîneurRod Brind'Amour
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 60
Espoirs30


Historique d'équipe

Saison actuelle0-0
Historique101-82-32 (0.470%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)10 - 9 (0.526%)
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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Riley Nash0XX100.00675584667150706276625658507160177580351775,000$
2Joel L'Esperance0XX100.00655888657750795675525856255753172570291750,000$
3Michael Vecchione0XX100.00623691666550835876575659256356170560311750,000$
4Ryan Suzuki (R)0X100.00593595687150756275605453644848168560231863,333$
5Jasper Weatherby0XX100.00665989648350825575524859255351164560261775,000$
6Mason Jobst0XX100.00645587686050816075595653256155171560301750,000$
7Vincent Arseneau0XX100.00767075607850715045424456256557157540321750,000$
8Vasily Ponomarev (R)0X100.00573493706550725875604949504747162540222795,000$
9Evan Polei0XX100.00695985608150684445443955255753152530281750,000$
10Josh Melnick0XX100.00573595646350845275544154575954154530291750,000$
11Jamieson Rees (R)0X100.00603491626550754475503555254848159500231839,167$
12Jackson Blake (R)0X100.004830995245853054304748473031327352490213905,833$
13Steven Kampfer0X100.00645687646650725425614559257361167570361750,000$
14Wyatt Newpower0X100.00726576607850664725493660255552157560271787,500$
15Jack Ahcan0X100.00635586666050845525614261255552162560272775,000$
16Brogan Rafferty0X100.00573697656950805225584158505953145550292775,000$
17Scott Morrow (R)0X100.004930996271863151305150563032346958540223916,667$
18Domenick Fensore (R)0X100.00543191675350695025554153254848152510232925,000$
Rayé
1Anton Wahlberg (R)0X100.004430955068453733403532433026263020410191896,667$
2Tomas Hamara (R)0X100.003530993757413030303030413028292919370201831,667$
MOYENNE D’ÉQUIPE100.00594590626753675151524554335248115753
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
1Troy Grosenick0100.0064605165635960615963507160184600351775,000$
2Felix Sandstrom0100.0060605074606354545964615251167580271775,000$
Rayé
1Dustin Tokarski0100.0059575067525149495259506857120530351775,000$
MOYENNE D’ÉQUIPE100.006159506958585455576254645615757
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rod Brind'Amour60606060996050CAN551500,000$


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 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
Anton WahlbergChicago Wolves (CAR)C192005-12-31SWEYes194 Lbs6 ft3NoNoFree AgentNoNo12024-08-19FalseFalsePro & Farm896,667$0$0$No---------------------------
Brogan RaffertyChicago Wolves (CAR)D291995-12-31USANo195 Lbs6 ft0NoNoFree AgentNoNo22024-09-30FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Domenick FensoreChicago Wolves (CAR)D232001-12-31USAYes153 Lbs5 ft7NoNoFree AgentNoNo22024-08-15FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Dustin TokarskiChicago Wolves (CAR)G351989-12-31CANNo205 Lbs6 ft0NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Evan PoleiChicago Wolves (CAR)C/LW281996-12-31CANNo229 Lbs6 ft2NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Felix SandstromChicago Wolves (CAR)G271997-12-31SWENo192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Jack AhcanChicago Wolves (CAR)D271997-12-31USANo185 Lbs5 ft8NoNoFree AgentNoNo22024-09-30FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Jackson BlakeChicago Wolves (CAR)RW212003-12-31USAYes173 Lbs5 ft10NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm905,833$0$0$No905,833$905,833$-------905,833$905,833$-------NoNo-------
Jamieson ReesChicago Wolves (CAR)C232001-12-31CANYes182 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm839,167$0$0$No---------------------------Lien / Lien NHL
Jasper WeatherbyChicago Wolves (CAR)C/LW261998-12-31USANo216 Lbs6 ft4NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Joel L'EsperanceChicago Wolves (CAR)C/RW291995-12-31USANo210 Lbs6 ft2NoNoFree Agent2024-07-07NoNo12024-09-07FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Josh MelnickChicago Wolves (CAR)C/RW291995-12-31USANo181 Lbs5 ft10NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Mason JobstChicago Wolves (CAR)C/LW301994-12-31USANo185 Lbs5 ft8NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Michael VecchioneChicago Wolves (CAR)C/RW311993-12-31USANo195 Lbs5 ft10NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Riley NashChicago Wolves (CAR)C/RW351989-12-31CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Ryan SuzukiChicago Wolves (CAR)C232001-12-31CANYes180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Lien / Lien NHL
Scott MorrowChicago Wolves (CAR)D222002-12-31USAYes195 Lbs6 ft2NoNoFree AgentNoNo32024-08-10FalseFalsePro & Farm916,667$0$0$No916,667$916,667$-------916,667$916,667$-------NoNo-------
Steven KampferChicago Wolves (CAR)D361988-12-31USANo198 Lbs5 ft11NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Tomas HamaraChicago Wolves (CAR)D202004-12-31CZEYes185 Lbs6 ft0NoNoFree AgentNoNo12024-08-19FalseFalsePro & Farm831,667$0$0$No---------------------------
Troy GrosenickChicago Wolves (CAR)G351989-12-31USANo190 Lbs6 ft1NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Vasily PonomarevChicago Wolves (CAR)C222002-12-31RUSYes180 Lbs5 ft10NoNoFree AgentNoNo22024-08-15FalseFalsePro & Farm795,000$0$0$No795,000$--------795,000$--------No--------Lien
Vincent ArseneauChicago Wolves (CAR)LW/RW321992-12-31CANNo216 Lbs6 ft2NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Wyatt NewpowerChicago Wolves (CAR)D271997-12-31USANo194 Lbs6 ft3NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm787,500$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.35192 Lbs6 ft01.35801,558$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel L'EsperanceRiley NashJamieson Rees37113
2Jasper WeatherbyMichael VecchioneMason Jobst30113
3Vincent ArseneauRyan SuzukiVasily Ponomarev23122
4Ryan SuzukiJosh MelnickEvan Polei10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven KampferJack Ahcan45122
2Wyatt NewpowerScott Morrow33122
3Domenick FensoreBrogan Rafferty22122
4Steven KampferJack Ahcan0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan SuzukiRiley NashMichael Vecchione60122
2Joel L'EsperanceJasper WeatherbyJamieson Rees40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven KampferJack Ahcan50122
2Wyatt NewpowerScott Morrow50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley NashRyan Suzuki50122
2Michael VecchioneMason Jobst50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack AhcanSteven Kampfer50122
2Scott MorrowWyatt Newpower50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Suzuki50122Jack AhcanSteven Kampfer50122
2Vincent Arseneau50122Wyatt NewpowerDomenick Fensore50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael VecchioneJamieson Rees50122
2Riley NashRyan Suzuki50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven KampferJack Ahcan50122
2Domenick FensoreScott Morrow50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael VecchioneRiley NashRyan SuzukiSteven KampferJack Ahcan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael VecchioneRiley NashRyan SuzukiSteven KampferJack Ahcan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evan Polei, Vasily Ponomarev, Ryan SuzukiRyan Suzuki, Josh MelnickRyan Suzuki
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Ahcan, Steven Kampfer, Wyatt NewpowerJack AhcanScott Morrow, Steven Kampfer
Tirs de pénalité
Evan Polei, Ryan Suzuki, Josh Melnick, Jamieson Rees, Riley Nash
Gardien
#1 : Troy Grosenick, #2 : Felix Sandstrom
Lignes d’attaque personnalisées en prolongation
Ryan Suzuki, Vasily Ponomarev, Josh Melnick, Evan Polei, Riley Nash, Joel L'Esperance, Joel L'Esperance, Jasper Weatherby, Michael Vecchione, Jamieson Rees, Mason Jobst
Lignes de défense personnalisées en prolongation
Jack Ahcan, Steven Kampfer, Wyatt Newpower, Scott Morrow, Domenick Fensore


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 billets5020
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$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,843,584$ 1,843,584$ 500,000$0$
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$ 8 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
1Jack Drury1484576121-412017824837512.00%76290419.622341644201156552.36%10.83212
2Ryan Suzuki2194461105-131592332794529.73%63331715.1513193227000116354.33%00.63820
3Stefan Noesen763740771218115712428512.98%29144619.041323363110186446.60%11.06716
4Andrew Poturalski61254267212111911424510.20%26134622.0711203119000104258.72%21.00712
5Vasili Ponomarev148244367-232291952723626.63%59269618.22411151300045355.86%10.50617

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 Makiniemi764121140.9241.9945872615220011080420.53656
2Felix Sandstrom76323190.9212.1244540615719901200130.75060
3Troy Grosenick722830140.9092.6342656218720601210200.52619
4Jack LaFontaine10000.9571.713500123140000
5Pyotr Kochetkov30000.9202.035900225160000

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
2022763221034610196166303815130102794877381780244310279239619629849425317680262028509781722722028705198517132268437.17%2075672.95%1752135255.62%783152051.51%53397954.44%151674915447741589787
2023721831044105133160-2736817022526378-15361014022537082-127313319432736254153241438333520565781971653149911151404431.43%1283969.53%0612107756.82%659123453.40%45180556.02%130255014507491646852
202472233005905173198-253610140370291105-14361316022038293-117017328345602169062820724528307693921057232741410932931.18%973761.86%3691125355.15%663123753.60%51592155.92%139169514897111487740
Total Saison régulière2207382012171620502524-221103344069711248270-221104038068992542540239502775127751372207195585538129421312056189610420813758423845915734.20%43213269.44%42055368255.81%2105399152.74%1499270555.42%421019954484223547242379
Séries éliminatoires
202219109000004649-31055000002531-695400000211832046731191111102235451581762038584192595418611931.15%501276.00%021543349.65%23444552.58%15327156.46%387201388183373189
Total Séries éliminatoires19109000004649-31055000002531-695400000211832046731191111102235451581762038584192595418611931.15%501276.00%021543349.65%23444552.58%15327156.46%387201388183373189

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
1Stefan Noesen1991120-1211836187611.84%836719.3246101000022036.36%01.0900
2Vasili Ponomarev1941014-2192423567.14%535518.73246400000159.89%00.7900
3Jack Drury192911-2242633543.70%734918.39066200010053.29%00.6300
4Ryan Suzuki19461051216243112.90%621211.19011000000051.52%00.9400
5Phillip Di-Giuseppe196410-72431294513.33%733117.456171000013065.00%00.6000

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 Makiniemi1910720.9182.48113801475763060100
2Felix Sandstrom10000.8575.4611001740000