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Chicago Wolves
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Frederic Bergeron | Morale : 1 | Moyenne d’équipe : 63
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralFrederic Bergeron
EntraîneurAdam Foote
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 100
Espoirs44


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 moyen
1Stefan Noesen0XXX100.0070486964798087707971675964807564886703111,200,000$
2Dmitry Voronkov (R)0X100.006650717369808875507668616157527586670233925,000$
3Jesse Ylonen0X100.0063358070778687676670656266666472806602411,000,000$
4Sam Carrick0XXX100.0078746161757883627963646459807846866403221,999,000$
5Aatu Raty (R)0X100.006838926780807163776160636166658382632221859,167$
6James Hamblin0X100.005535786567818359646362616258606784620252800,000$
7Brayden Tracey (R)0X100.0066607164818886585559556360656476836202311,000,000$
8Sean Malone 0X100.006450806474807762696062576055557867610292950,000$
9Stephen Halliday (R)0X100.007545806877757560625555605550507753601213833,000$
10Cole Koepke0X100.007040616267787964586256625961417758600263900,000$
11Lukas Svejkovsky (R)19X100.007760606067707260705555605850516850581222859,167$
12Casey Fitzgerald0X100.0075447964778577653065517148727054756722731,450,000$
13Travis Dermott0X100.0066437568758373653061596352747167686522741,900,000$
14Trevor Carrick0X100.0058498663818277583055566452767153846402911,444,000$
15Mitchell Vande Sompel0X100.006236896275867159305760635553526958612272800,000$
16Emil Martinsen Lilleberg (R)0X100.006655686077727561306255686046458751611233833,000$
17Layton Ahac (R)0X100.007658726481777251305754546065658484610233900,000$
18Eemil Viro (R)0X100.00592561566277725530585954606262144570222828,333$
Rayé
1Walker Duehr (R)0XX100.0074418167828184656068696960576257676602631,450,000$
2Steven Fogarty0X100.0069469366858483647257626558797150866523111,200,000$
3Vasiliy Ponomarev0XX100.006645606177727055585857606060407051582221815,000$
4Daniel Torgersson0XX100.007455705969807256585459565561418420570222867,500$
5Aleksandr Kisakov (R)0XX100.006545776067727255505055564050558020552212859,167$
6Ryder Korczak (R)0X100.005545605568707255555252575050547720540212859,167$
7Ilya Nikolaev (R)0X100.005560705560707050505250504050606620520222836,667$
MOYENNE D’ÉQUIPE100.00674774637479776154605961576259676361
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 moyen
1Hunter Shepard0100.007982807877787576767770545372617302811,333,000$
Rayé
1Dustin Tokarski0100.008175777472727070717175748653697203411,200,000$
2Hugo Alnefelt0100.00757474807278767372707265407820702232850,833$
3Jesper Vikman (R)0100.00757070806867696664636255507720650223775,000$
MOYENNE D’ÉQUIPE100.0078757578727473717170706257704370
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Foote68607365777173CAN5241,500,000$


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 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 Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé 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 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
Aatu RatyChicago Wolves (GKN)C222002-04-14 07:24:03Yes185 Lbs6 ft2NoNoN/ANoNo1Pro & Farm859,167$859,167$0$0$No------------------Lien
Aleksandr KisakovChicago Wolves (GKN)LW/RW212002-11-01 14:37:25Yes150 Lbs5 ft10NoNoN/ANoNo2Pro & Farm859,167$859,167$0$0$No859,167$--------No--------
Brayden TraceyChicago Wolves (GKN)LW232001-05-28 06:58:37Yes177 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$1,000,000$0$0$No------------------
Casey FitzgeraldChicago Wolves (GKN)D271997-02-25No188 Lbs5 ft11NoNoN/ANoNo3Pro & Farm1,450,000$1,450,000$0$0$No1,450,000$1,450,000$-------NoNo-------
Cole KoepkeChicago Wolves (GKN)LW261998-05-17 07:26:51No196 Lbs6 ft1NoNoN/ANoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Daniel TorgerssonChicago Wolves (GKN)LW/RW222002-01-26 07:27:44No199 Lbs6 ft3NoNoN/ANoNo2Pro & Farm867,500$867,500$0$0$No867,500$--------No--------Lien
Dmitry Voronkov Chicago Wolves (GKN)LW232000-09-10 03:00:53Yes190 Lbs6 ft4NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------Lien
Dustin TokarskiChicago Wolves (GKN)G341989-09-16No198 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,200,000$1,200,000$0$0$No------------------Lien
Eemil ViroChicago Wolves (GKN)D222002-04-03 14:41:46Yes165 Lbs6 ft0NoNoN/ANoNo2Pro & Farm828,333$828,333$0$0$No828,333$--------No--------
Emil Martinsen LillebergChicago Wolves (GKN)D232001-02-02 04:58:19Yes205 Lbs6 ft1NoNoDraftNoNo32024-03-26Pro & Farm833,000$833,000$0$0$No833,000$833,000$-------NoNo-------Lien
Hugo AlnefeltChicago Wolves (GKN)G232001-06-04 07:29:47No183 Lbs6 ft3NoNoN/ANoNo2Pro & Farm850,833$850,833$0$0$No850,833$--------No--------Lien
Hunter ShepardChicago Wolves (GKN)G281995-11-07 09:59:04No201 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,333,000$1,333,000$0$0$No------------------Lien
Ilya NikolaevChicago Wolves (GKN)C222001-06-26 14:43:29Yes190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm836,667$836,667$0$0$No836,667$--------No--------
James HamblinChicago Wolves (GKN)C251999-04-27 09:36:54No181 Lbs5 ft10NoNoN/ANoNo2Pro & Farm800,000$800,000$0$0$No800,000$--------No--------Lien
Jesper VikmanChicago Wolves (GKN)G222002-03-11 04:26:20Yes176 Lbs6 ft3NoNoN/ANoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$-------NoNo-------
Jesse YlonenChicago Wolves (GKN)RW241999-10-03 07:05:27No181 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,000,000$1,000,000$0$0$No------------------
Layton AhacChicago Wolves (GKN)D232001-02-22 09:58:35Yes188 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$-------NoNo-------
Lukas SvejkovskyChicago Wolves (GKN)C222001-11-28 14:44:40Yes165 Lbs5 ft10NoNoN/ANoNo2Pro & Farm859,167$859,167$0$0$No859,167$--------No--------
Mitchell Vande SompelChicago Wolves (GKN)D271997-02-11 08:36:26No198 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$800,000$0$0$No800,000$--------No--------
Ryder KorczakChicago Wolves (GKN)C212002-09-23 14:45:50Yes171 Lbs5 ft11NoNoN/ANoNo2Pro & Farm859,167$859,167$0$0$No859,167$--------No--------
Sam CarrickChicago Wolves (GKN)C/LW/RW321992-02-04No205 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,999,000$1,999,000$0$0$No1,999,000$--------No--------Lien
Sean Malone Chicago Wolves (GKN)C291995-04-30 08:15:40No197 Lbs6 ft0NoNoN/ANoNo2Pro & Farm950,000$950,000$0$0$No950,000$--------No--------Lien
Stefan NoesenChicago Wolves (GKN)C/LW/RW311993-02-12No205 Lbs6 ft1NoNoN/ANoNo1Farm Only1,200,000$1,200,000$0$0$No------------------Lien / Lien NHL
Stephen HallidayChicago Wolves (GKN)C212002-07-02 00:38:03Yes213 Lbs6 ft3NoNoDraftNoNo32024-04-01Pro & Farm833,000$833,000$0$0$No833,000$833,000$-------NoNo-------Lien
Steven FogartyChicago Wolves (GKN)C311993-04-19No208 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,200,000$1,200,000$0$0$No------------------Lien
Travis DermottChicago Wolves (GKN)D271996-12-22No202 Lbs6 ft0NoNoN/ANoNo4Pro & Farm1,900,000$1,900,000$0$0$No1,900,000$1,900,000$1,900,000$------NoNoNo------Lien
Trevor CarrickChicago Wolves (GKN)D291994-07-04No196 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,444,000$1,444,000$0$0$No------------------Lien / Lien NHL
Vasiliy PonomarevChicago Wolves (GKN)C/RW222002-03-13 07:34:22No180 Lbs5 ft10NoNoDraftNoNo1Pro & Farm815,000$815,000$0$0$No------------------Lien
Walker DuehrChicago Wolves (GKN)LW/RW261997-11-23 06:37:13Yes210 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,450,000$1,450,000$0$0$No1,450,000$1,450,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.10190 Lbs6 ft12.031,052,655$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmitry Voronkov Stefan NoesenJesse Ylonen30122
2Brayden TraceySam Carrick30122
3Cole KoepkeAatu RatyJames Hamblin20122
4Stefan NoesenJames HamblinDmitry Voronkov 20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldTravis Dermott30122
2Trevor CarrickLayton Ahac30122
3Mitchell Vande SompelEmil Martinsen Lilleberg20122
4Eemil ViroCasey Fitzgerald20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmitry Voronkov Stefan NoesenJesse Ylonen60122
2Brayden TraceySam Carrick40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldTravis Dermott60122
2Trevor CarrickLayton Ahac40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Stefan NoesenDmitry Voronkov 60122
2Jesse YlonenSam Carrick40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldTravis Dermott60122
2Trevor CarrickLayton Ahac40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Stefan Noesen60122Casey FitzgeraldTravis Dermott60122
2Dmitry Voronkov 40122Trevor CarrickLayton Ahac40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Stefan NoesenDmitry Voronkov 60122
2Jesse YlonenSam Carrick40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldTravis Dermott60122
2Trevor CarrickLayton Ahac40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitry Voronkov Stefan NoesenJesse YlonenCasey FitzgeraldTravis Dermott
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitry Voronkov Stefan NoesenJesse YlonenCasey FitzgeraldTravis Dermott
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Malone , Stephen Halliday, Lukas SvejkovskySean Malone , Stephen HallidayLukas Svejkovsky
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mitchell Vande Sompel, Emil Martinsen Lilleberg, Eemil ViroMitchell Vande SompelEmil Martinsen Lilleberg, Eemil Viro
Tirs de pénalité
Stefan Noesen, Dmitry Voronkov , Jesse Ylonen, Sam Carrick, Aatu Raty
Gardien
#1 : Hunter Shepard, #2 :
Lignes d’attaque personnalisées en prolongation
Stefan Noesen, Dmitry Voronkov , Jesse Ylonen, Sam Carrick, Aatu Raty, James Hamblin, James Hamblin, Brayden Tracey, Sean Malone , Stephen Halliday, Cole Koepke
Lignes de défense personnalisées en prolongation
Casey Fitzgerald, Travis Dermott, Trevor Carrick, Layton Ahac, Mitchell Vande Sompel


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,052,701$ 3,052,701$ 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