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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: Christopher Dorion | Morale : 40 | Moyenne d’équipe : 63

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralChristopher Dorion
DivisionCentrale
ConférenceOuest
CapitaineRyan Suzuki
Assistant #1Bradly Nadeau
Assistant #2Skyler Brind'Amour


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure16
Limite Contrat50 / 250
Espoirs17


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
1Peyton KrebsX100.0079587374728390717772646668676980406802311,450,000$
2Bo GroulxX100.0075398065818782646163677462666869406702400$
3Adam EdstromX100.0077539067997476635560616462656847406502300$
4Bradly Nadeau (A)X100.006537856668868465626368616662637840650192918,333$
5Chris WagnerX100.0063417364738786626860666561757730406503300$
6Matthew HighmoreX100.0069369264717885626560566859707235406402800$
7Ivan MiroshnichenkoX100.0068408066748683655963646167626482406402011,700,000$
8Matt RempeX100.0089876866997476635655576258646648406402200$
9Cam LundX100.0068389064798868636562616063626477406302000$
10Ryan Suzuki (C)X100.0067388763767886627064566163656777406302300$
11Curtis DouglasX100.008581555999718158575654605366685840620241775,000$
12Ivan IvanX100.006238846372778959615857605664664340620221845,000$
13Scott MorrowX100.0069437266828584653068576153646673406402111,158,333$
14Owen PickeringX100.0077409062918087613060546549626482406402021,136,667$
15Michael CallahanX100.0068408460798183573056556348676947406202500$
16Dysin MayoX100.0063426961728882583063555647707246406102800$
17Joe HickettsX100.0055397462646784583060535447707535406002800$
Rayé
1Ryan LeonardX100.007542807779848874617273647660638740700191500,000$
2Denver BarkeyX100.006338836965828667626660636562616440640191500,000$
3Skyler Brind'Amour (A)X100.0069398261798587586055616662676942406302500$
4Luke TuchX100.007643705985748157525456585764667040610221925,000$
5Taylor MakarX100.007140735881758456545357555965674740600231500,000$
6Connor ClattenburgX100.007746505883687356615257555861634940590191500,000$
7Zac FunkX100.0067417356767963545855535752636544405902121,033,333$
8Cole HutsonX100.006533827667886473307470665559607640680181500,000$
9Ryan ChesleyX100.006437926073678459306157584962647640620201500,000$
10Mitchell Vande SompelX100.0063378957726268563055535846697152406002700$
11Leo LoofX100.006741735676638053305552574564666240590221925,000$
12Loke JohanssonX100.007740855186636452305050564561634940580181500,000$
13Otto SalinX100.006137855570647654305652534562645540580201500,000$
MOYENNE D’ÉQUIPE100.00704379637877806150605961576567594063
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
1Jakub Skarek100.007479758973727473727473687756406602400$
Rayé
1Kevin Mandolese100.007475718273727473727473667547406602400$
2Topias Leinonen100.00627470986160626160626162677440590201500,000$
3Trey Augustine100.00617168746059616059616061657440590191500,000$
MOYENNE D’ÉQUIPE100.0068757186676668676668676471634063
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
Adam EdstromChicago Wolves (CAR)C232000-10-12SWENo232 Lbs6 ft7NoNoAssign ManuallyNoNo02025-07-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Bo GroulxChicago Wolves (CAR)C242000-02-06CANNo202 Lbs6 ft2NoNoTrade2025-09-11NoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Bradly NadeauChicago Wolves (CAR)LW192005-05-05CANNo180 Lbs5 ft11NoNoTrade2026-01-01NoNo22025-07-16FalseFalsePro & Farm918,333$0$0$No918,333$-----------------No--------Lien / Lien NHL
Cam LundChicago Wolves (CAR)C202004-06-07USANo195 Lbs6 ft2NoNoAssign ManuallyNoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Chris WagnerChicago Wolves (CAR)C331991-05-27USANo192 Lbs6 ft0NoNoTrade2025-07-18NoNo02024-09-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Cole HutsonChicago Wolves (CAR)D182006-06-28USANo175 Lbs5 ft11NoNoDraftNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Connor ClattenburgChicago Wolves (CAR)C192005-05-02CANNo215 Lbs6 ft2NoNoDraftNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Curtis DouglasChicago Wolves (CAR)C242000-03-06CANNo242 Lbs6 ft9NoNoTrade2025-01-26NoNo12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Denver BarkeyChicago Wolves (CAR)C192005-04-27CANNo171 Lbs5 ft10NoNoProspectNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Dysin MayoChicago Wolves (CAR)D281996-08-17CANNo190 Lbs6 ft0NoNoTrade2025-07-18NoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Ivan IvanChicago Wolves (CAR)C222002-08-20CZENo190 Lbs6 ft0NoNoTrade2025-01-04NoNo12024-09-22FalseFalsePro & Farm845,000$0$0$No---------------------------Lien / Lien NHL
Ivan MiroshnichenkoChicago Wolves (CAR)LW202004-02-04RUSNo185 Lbs6 ft1NoNoTrade2025-07-16NoNo12025-07-16FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien / Lien NHL
Jakub SkarekChicago Wolves (CAR)G241999-11-10CZENo211 Lbs6 ft4NoNoN/ANoNo02024-07-27FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Joe HickettsChicago Wolves (CAR)D281996-05-04CANNo180 Lbs5 ft8NoNoTrade2025-07-18NoNo02024-09-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Kevin MandoleseChicago Wolves (CAR)G242000-08-22CANNo180 Lbs6 ft4NoNoN/ANoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Leo LoofChicago Wolves (CAR)D222002-04-25SWENo176 Lbs6 ft2NoNoTrade2024-09-15NoNo12024-09-19FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Loke JohanssonChicago Wolves (CAR)D182005-12-14SWENo213 Lbs6 ft3NoNoDraftNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Luke TuchChicago Wolves (CAR)LW222002-03-07USANo209 Lbs6 ft3NoNoTrade2025-10-30NoNo12025-07-16FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Matt RempeChicago Wolves (CAR)C222002-06-29CANNo261 Lbs6 ft9NoNoProspectNoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Matthew HighmoreChicago Wolves (CAR)C281996-02-27CANNo186 Lbs5 ft11NoNoN/ANoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Michael CallahanChicago Wolves (CAR)D251999-09-23USANo195 Lbs6 ft2NoNoTrade2025-09-11NoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Mitchell Vande SompelChicago Wolves (CAR)D271997-02-11CANNo198 Lbs5 ft11NoNoN/ANoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Otto SalinChicago Wolves (CAR)D202004-03-07FINNo187 Lbs5 ft11NoNoProspectNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Owen PickeringChicago Wolves (CAR)D202004-01-27CANNo206 Lbs6 ft5NoNoTrade2025-07-16NoNo22025-07-16FalseFalsePro & Farm1,136,667$0$0$No1,136,667$-----------------No--------Lien / Lien NHL
Peyton KrebsChicago Wolves (CAR)C232001-01-26CANNo188 Lbs6 ft0NoNoTrade2026-03-07NoNo12025-07-16FalseFalsePro & Farm1,450,000$0$0$No---------------------------Lien / Lien NHL
Ryan ChesleyChicago Wolves (CAR)D202004-02-27USANo195 Lbs6 ft0NoNoProspectNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Ryan LeonardChicago Wolves (CAR)RW192005-01-21USANo205 Lbs6 ft1NoNoDraftNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Ryan SuzukiChicago Wolves (CAR)C232001-05-28CANNo196 Lbs6 ft1NoNoTrade2025-01-24NoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Scott MorrowChicago Wolves (CAR)D212002-11-01USANo210 Lbs6 ft2NoNoAssign ManuallyNoNo12025-07-16FalseFalsePro & Farm1,158,333$0$0$No---------------------------Lien / Lien NHL
Skyler Brind'AmourChicago Wolves (CAR)C251999-07-27USANo195 Lbs6 ft2NoNoTrade2024-09-18NoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Taylor MakarChicago Wolves (CAR)LW232001-03-13CANNo190 Lbs6 ft3NoNoProspectNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Topias LeinonenChicago Wolves (CAR)G202004-01-25FINNo234 Lbs6 ft6NoNoProspectNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Trey AugustineChicago Wolves (CAR)G192005-02-23USANo183 Lbs6 ft1NoNoDraftNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Zac FunkChicago Wolves (CAR)LW212003-07-20CANNo210 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm1,033,333$0$0$No1,033,333$-----------------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3422.44199 Lbs6 ft20.68466,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan MiroshnichenkoMatthew HighmoreChris Wagner40122
2Bradly NadeauBo GroulxPeyton Krebs30122
3Adam EdstromCurtis DouglasMatt Rempe20212
4Ivan IvanRyan SuzukiCam Lund10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PickeringScott Morrow40122
2Dysin MayoMichael Callahan30122
3Joe Hicketts20122
4Dysin MayoJoe Hicketts10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bo GroulxCam LundAdam Edstrom60122
2Peyton KrebsIvan IvanRyan Suzuki40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bradly NadeauScott Morrow60122
2Matthew HighmoreOwen Pickering40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew HighmoreBo Groulx60122
2Peyton KrebsIvan Ivan40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PickeringMichael Callahan60122
2Dysin MayoJoe Hicketts40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Highmore60122Owen PickeringMichael Callahan60122
2Bo Groulx40122Dysin MayoJoe Hicketts40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew HighmoreBo Groulx60122
2Cam LundChris Wagner40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PickeringMichael Callahan60122
2Dysin MayoJoe Hicketts40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bo GroulxMatthew HighmoreChris WagnerMichael CallahanOwen Pickering
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bo GroulxMatthew HighmoreChris WagnerMichael CallahanOwen Pickering
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam Lund, Ryan Suzuki, Bo GroulxBo Groulx, Ryan SuzukiBo Groulx
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Hicketts, Michael Callahan, Joe HickettsJoe Hicketts, Michael Callahan
Tirs de pénalité
Bradly Nadeau, Chris Wagner, Bo Groulx, Adam Edstrom, Cam Lund
Gardien
#1 : , #2 : Jakub Skarek


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
TotalDomicile Visiteur
# 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 RI
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 jourCapacité de l’arénaPopularité de l’équipe
9 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 7,933,332$ 7,933,332$ 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