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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: Camil Costandi | Morale : 50 | Moyenne d’équipe : 58

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralCamil Costandi
EntraîneurStephane Robidas
DivisionMarcel Dionne
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure22
Limite contact 43 / 63
Espoirs20


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique212-222-35 (0.452%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)5 - 4 (0.556%)
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
1Ben Steeves0X100.006261635861575661505662575944446053550231950,000$
2Vitali Kravtsov0XX100.007869996269383454505647644544445650520251775,000$
3Ryan Gagnier0X100.007568925968454450634253615044445553520221800,000$
4Sawyer Boulton0XXX100.006874555474373644553844564244444753470201800,000$
5David Reinbacher (R)0X100.007677736077717652254742624044445553580201918,333$
6Kirill Kirsanov (R)0X100.008581946181535546253641653944445353560222925,000$
7Seamus Casey (R)0X100.007165866065545455255540613845465453550212950,000$
8Lukas Dragicevic (R)0X100.007773855973596248254139623744445251550203891,667$
9Djibril Toure0X100.006680335480565947594445564344444953530222805,000$
Rayé
1Pavol Regenda (R)0XX100.0090477776806572725854876825474776506502500$
2Mitchell Stephens0X100.0080769067767884577150576954585963506102800$
3Ivan Miroshnichenko0X100.0080449479695469602558686625495068506002100$
4Wilmer Skoog0X100.0075737964737579625057626459444464506002500$
5Valtteri Puustinen0XX100.0073649465645756635063586555525262505802600$
6Jackson Cates0XX100.0077709261705252536647536350454557505302700$
7Jordan Harris0X0.006942937267574061255048732560605950600241775,000$
8Joe Fleming0X100.0067774354776975472537415639444449505302200$
9Cavan Fitzgerald0X100.0070746156744444472537415839444449505102800$
MOYENNE D’ÉQUIPE94.44746878627257585443485263424747575156
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
1Kyle Keyser0100.00534050776662706467613044446050590261775,000$
Rayé
1Sebastian Cossa0100.005040509163606360625630444457505802200$
2Drew Commesso (R)0100.004553667053515051484430444449505102200$
MOYENNE D’ÉQUIPE100.0049445579615861585954304444555056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Stephane Robidas7270676758541CAN49166,000$


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 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
Ben SteevesNordiquesLW232002-05-10USANo170 Lbs5 ft9NoNoAssign ManuallyNoNo12025-06-15FalseFalsePro & Farm950,000$950,000$950,000$No---------------------------Lien
Cavan FitzgeraldChicago Wolves (QUE)D281996-08-23USANo200 Lbs6 ft1NoNoN/ANoNo02025-09-05FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
David ReinbacherNordiquesD202004-10-25AUTYes207 Lbs6 ft3NoNoProspectNoNo12024-06-21FalseFalsePro & Farm918,333$918,333$918,333$No---------------------------Lien
Djibril ToureNordiquesD222003-06-05CANNo203 Lbs6 ft7NoNoAssign ManuallyNoNo22025-06-15FalseFalsePro & Farm805,000$805,000$805,000$No805,000$--------805,000$--------No--------Lien
Drew CommessoChicago Wolves (QUE)G222002-07-19USAYes180 Lbs6 ft2NoNoProspectNoNo02024-06-21FalseFalsePro & Farm0$0$No---------------------------Lien
Ivan MiroshnichenkoChicago Wolves (QUE)LW212004-02-04RUSNo185 Lbs6 ft1NoNoProspectNoNo02024-06-21FalseFalsePro & Farm0$0$No---------------------------Lien
Jackson CatesChicago Wolves (QUE)C/LW271997-09-26USANo190 Lbs6 ft0NoNoN/ANoNo02025-09-05FalseFalsePro & Farm0$0$No---------------------------Lien
Joe FlemingChicago Wolves (QUE)D222003-06-19USANo211 Lbs6 ft1NoNoAssign ManuallyNoNo02025-06-15FalseFalsePro & Farm0$0$No---------------------------Lien
Jordan Harris (sur la masse salariale)Chicago Wolves (QUE)D242000-07-07USANo187 Lbs5 ft11NoNoAssign ManuallyNoNo12026-06-11FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Kirill KirsanovNordiquesD222002-09-19RUSYes220 Lbs6 ft2NoNoProspectNoNo22026-06-07FalseFalsePro & Farm925,000$925,000$925,000$No925,000$--------925,000$--------No--------Lien
Kyle KeyserChicago Wolves (QUE)G261999-03-08USANo198 Lbs6 ft2NoNoAssign ManuallyNoNo12026-06-11FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Lukas DragicevicChicago Wolves (QUE)D202005-04-25CANYes196 Lbs6 ft2NoNoTrade2026-07-18NoNo32026-06-07FalseFalsePro & Farm891,667$0$0$No891,667$891,667$-------891,667$891,667$-------NoNo-------Lien
Mitchell StephensChicago Wolves (QUE)C281997-02-05CANNo210 Lbs6 ft0NoNoN/ANoNo02024-07-02FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Pavol RegendaChicago Wolves (QUE)LW/RW251999-07-12SVKYes215 Lbs6 ft3NoNoN/ANoNo02025-07-03FalseFalsePro & Farm0$0$No---------------------------Lien
Ryan GagnierNordiquesC222002-07-16ONTNo185 Lbs6 ft0NoNoAssign ManuallyNoNo12026-06-07FalseFalsePro & Farm800,000$800,000$800,000$No---------------------------Lien
Sawyer BoultonNordiquesC/LW/RW202004-07-12USANo205 Lbs6 ft0NoNoFree AgentNoNo12026-06-07FalseFalsePro & Farm800,000$800,000$800,000$No---------------------------Lien
Seamus CaseyNordiquesD212004-01-08USAYes181 Lbs5 ft10NoNoProspectNoNo22025-06-15FalseFalsePro & Farm950,000$950,000$950,000$No950,000$--------950,000$--------No--------Lien
Sebastian CossaChicago Wolves (QUE)G222002-11-21ONTNo220 Lbs6 ft7NoNoProspectNoNo02024-06-21FalseFalsePro & Farm0$0$No---------------------------Lien
Valtteri PuustinenChicago Wolves (QUE)LW/RW261999-06-04FINNo183 Lbs5 ft9NoNoN/ANoNo02024-06-21FalseFalsePro & Farm0$0$No---------------------------Lien
Vitali KravtsovChicago Wolves (QUE)LW/RW251999-12-23RUSNo185 Lbs6 ft1NoNoAssign ManuallyNoNo12026-06-11FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Wilmer SkoogChicago Wolves (QUE)C251999-07-17SWENo196 Lbs6 ft2NoNoAssign ManuallyNoNo02025-07-21FalseFalsePro & Farm0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2123.38197 Lbs6 ft10.76445,952$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
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
240122
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
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
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 billets2510
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 328,000$ 328,000$ 66,000$0$
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
1Mitchell Stephens568254446700383506301067164815.41%4091008117.75381031419878151625956.47%171.39217
2Adam Johnson338245346591-84470496704168514.54%311809623.95531381911594042223056.42%151.46524
3Morgan Klimchuk32820024044032292512440116817.12%208611618.6560681281440008241241.43%81.4400
4Valtteri Puustinen2221872344215612323531086521.62%110428019.28475510299551018171036.07%141.97117
5C.J. Smith276155241396-11026839466295316.26%253599721.733457918700097943.04%41.32416

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
3Daniel Vladar56351350.8844.4731856023720441196510.71421
4Sebastian Cossa83313270.8604.3044622032022841257220.45522
5Devin Cooley3223420.8714.7617660014010886242000

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
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
20238253170243359638121541277011322891771124126100130130720410312359697315691018623616993190999109710862931331078123218352026632.67%1122974.11%9789158449.81%853166051.39%928175352.94%1770100116607231524796
202476313701142412348643816160013221715562381521010101951932754126631075508718613492135518822787282674834109612801946634.02%1525365.13%3674125353.79%826156252.88%726142251.05%146672815967091529820
202582294001336395400-5411618011322051941141132200204190206-16753956051000308716014462098539834709422453816156214942128540.09%2528964.68%7767138455.42%780153250.91%850149456.89%160275616417981733916
Total Saison régulière482188222011241324251423821322419810503101015128811711172419011708143912261211154722514401365272106091029852421569943415802546121017702595576119048122448339.46%117041264.79%324580899050.95%4937990549.84%4730928750.93%9498488810162453395094911
Séries éliminatoires
20239540000045301553200000251694220000020146104579124001316160364118138108035810915618422522.73%18761.11%08718347.54%10521050.00%8916952.66%1871051858316885
Total Séries éliminatoires9540000045301553200000251694220000020146104579124001316160364118138108035810915618422522.73%18761.11%08718347.54%10521050.00%8916952.66%1871051858316885

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
1Hudson Fasching9711180210184316.28%819221.34033300000048.21%01.8700
2Tyson Foerster9691531115113517.14%116218.06112300002054.50%01.8500
3Mitchell Stephens9481211920202218.18%215216.99022300001058.40%01.5700
4Jordan Harris92911801116229.09%1821724.1321320000000%01.0100
5Saku Maenalanen965113518131735.29%315517.33112200000023.53%01.4100

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
1Daniel Vladar64200.9203.1835820192371361000
2Devin Cooley31110.9093.671800011121681000