Bears
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Marc Gaudreault | Morale : 50 | Moyenne d'Équipe : 62
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Statistiques d'Équipe


Directeur généralMarc Gaudreault
Metropolitan Division
Eastern Conference




Capacité de l'Aréna5,000
Assistance
5,000




22
18
40 / 55
Éspoirs33


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
1Aliaksei Protas (R)0XXX100.00705197698551706049697070656565050750222925,000$
2William Lockwood (R)0X100.00905196688246555740656955636363050720252962,000$
3Hudson Elynuik0X100.00604171565858454465626448542540050620251750,000$
4Cole Schwindt (R)0XX100.00526683545485984165586444522540050620222925,000$
5Benoit-Olivier Groulx (R)0X100.00545080575658544565606541552540050610231925,000$
6Mikhail Abramov (R)0X100.00516384535378903965586440522540050600222809,444$
7Kristian Reichel (R)0X100.00534582555658454336606443532540050600251750,000$
8Shawn Element (R)0X100.00584675535558454065586438522540050590231750,000$
9Samuel Houde (R)0X100.00536382525376883965566436522540050590231750,000$
10Anton Levtchi (R)0X100.00524884545658474136586438532540050580271750,000$
11Matthew Strome (R)0X100.00526283515274863736566336502540050580242750,000$
12Jan Mysak (R)0XX100.00525084525358543765566435512540050570212828,333$
13David Jiricek (R)0X100.00535882565665754336626442532540050610194925,000$
14Tyler Wotherspoon0X100.00525783535362723936596345512540050590301750,000$
15Kristians Rubins0X100.00525983515268793736576337502540050580251785,000$
16James Greenway (R)0X100.00593874515458453636576333502540050570253787,500$
17Gustav Olofsson0X100.00525183515358553736576341502540050570283883,500$
18Zachary Uens (R)0X100.00544081525558453736576334502540050570222859,167$
Rayé
1Josh Brook (R)0X100.00533782546458454036606353522540050620241750,000$
MOYENNE D'ÉQUIPE100.0056518355586263424859644353294305061
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
1Yaroslav Askarov (R)100.0074868578777674777975772555050790212925,000$
2Dylan Ferguson (R)100.0074655371766067697175712555050700243962,000$
Rayé
1Gage Alexander (R)100.0072655372746269686773702555050700202810,000$
MOYENNE D'ÉQUIPE100.007372647476667071727473255505073
Nom du Coach 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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Aliaksei ProtasBears (WAS)C/LW/RW222001-01-06Yes225 Lbs6 ft6NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Anton LevtchiBears (WAS)LW271995-11-28Yes185 Lbs6 ft0NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Benoit-Olivier GroulxBears (WAS)C232000-02-06Yes200 Lbs6 ft2NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Cole SchwindtBears (WAS)C/RW222001-04-25Yes182 Lbs6 ft2NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
David JiricekBears (WAS)D192003-11-28Yes189 Lbs6 ft3NoNoNo4Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$925,000$925,000$Lien NHL
Dylan FergusonBears (WAS)G241998-09-20Yes194 Lbs6 ft2NoNoNo3Pro & Farm962,000$320,667$962,000$320,667$0$0$No962,000$962,000$Lien / Lien NHL
Gage AlexanderBears (WAS)G202002-07-02Yes205 Lbs6 ft6NoNoNo2Pro & Farm810,000$270,000$810,000$270,000$0$0$No810,000$Lien / Lien NHL
Gustav OlofssonBears (WAS)D281994-12-01No199 Lbs6 ft2NoNoNo3Pro & Farm883,500$294,500$883,500$294,500$0$0$No883,500$883,500$Lien / Lien NHL
Hudson ElynuikBears (WAS)C251997-10-12No194 Lbs6 ft5NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
James GreenwayBears (WAS)D251998-04-27Yes216 Lbs6 ft5NoNoNo3Pro & Farm787,500$262,500$787,500$262,500$0$0$No787,500$787,500$Lien / Lien NHL
Jan MysakBears (WAS)C/LW212002-06-04Yes175 Lbs5 ft11NoNoNo2Pro & Farm828,333$276,111$828,333$276,111$0$0$No828,333$Lien / Lien NHL
Josh BrookBears (WAS)D241999-06-17Yes190 Lbs6 ft2NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Kristian ReichelBears (WAS)RW251998-06-11Yes188 Lbs6 ft2NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Kristians RubinsBears (WAS)D251997-12-11No227 Lbs6 ft5NoNoNo1Pro & Farm785,000$261,667$785,000$261,667$0$0$NoLien / Lien NHL
Matthew StromeBears (WAS)LW241999-01-06Yes206 Lbs6 ft4NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Mikhail AbramovBears (WAS)C222001-03-26Yes160 Lbs6 ft0NoNoNo2Pro & Farm809,444$269,815$809,444$269,815$0$0$No809,444$Lien / Lien NHL
Samuel HoudeBears (WAS)C232000-03-06Yes172 Lbs6 ft0NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Shawn ElementBears (WAS)C232000-04-23Yes192 Lbs6 ft0NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Tyler WotherspoonBears (WAS)D301993-03-12No207 Lbs6 ft2NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
William LockwoodBears (WAS)RW251998-06-20Yes172 Lbs5 ft11NoNoNo2Pro & Farm962,000$320,667$962,000$320,667$0$0$No962,000$Lien / Lien NHL
Yaroslav AskarovBears (WAS)G212002-06-16Yes187 Lbs6 ft4NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien NHL
Zachary UensBears (WAS)D222001-05-13Yes185 Lbs6 ft1NoNoNo2Pro & Farm859,167$286,389$859,167$286,389$0$0$No859,167$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2223.64193 Lbs6 ft21.82832,361$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matthew StromeAliaksei ProtasWilliam Lockwood30122
2Anton LevtchiCole SchwindtKristian Reichel30122
3Jan MysakHudson ElynuikBenoit-Olivier Groulx20122
4Aliaksei ProtasBenoit-Olivier GroulxWilliam Lockwood20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1David JiricekTyler Wotherspoon30122
2Kristians RubinsZachary Uens30122
3Gustav OlofssonJames Greenway20122
4David JiricekTyler Wotherspoon20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matthew StromeAliaksei ProtasWilliam Lockwood50122
2Anton LevtchiCole SchwindtKristian Reichel50122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1David JiricekTyler Wotherspoon50122
2Kristians RubinsZachary Uens50122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Aliaksei ProtasWilliam Lockwood50122
2Cole SchwindtHudson Elynuik50122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1David JiricekTyler Wotherspoon50122
2Kristians RubinsZachary Uens50122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Aliaksei Protas50122David JiricekTyler Wotherspoon50122
2William Lockwood50122Kristians RubinsZachary Uens50122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Aliaksei ProtasWilliam Lockwood50122
2Cole SchwindtHudson Elynuik50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1David JiricekTyler Wotherspoon50122
2Kristians RubinsZachary Uens50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matthew StromeAliaksei ProtasWilliam LockwoodDavid JiricekTyler Wotherspoon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matthew StromeAliaksei ProtasWilliam LockwoodDavid JiricekTyler Wotherspoon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mikhail Abramov, Samuel Houde, Shawn ElementMikhail Abramov, Samuel HoudeShawn Element
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gustav Olofsson, James Greenway, Kristians RubinsGustav OlofssonJames Greenway, Kristians Rubins
Tirs de Pénalité
Aliaksei Protas, William Lockwood, Cole Schwindt, Hudson Elynuik, Benoit-Olivier Groulx
Gardien
#1 : Yaroslav Askarov, #2 : Dylan Ferguson
Lignes d'Attaque Perso. en Prol.
Aliaksei Protas, William Lockwood, Cole Schwindt, Hudson Elynuik, Benoit-Olivier Groulx, Kristian Reichel, Kristian Reichel, Mikhail Abramov, Samuel Houde, Shawn Element, Matthew Strome
Lignes de Défense Perso. en Prol.
David Jiricek, Tyler Wotherspoon, Kristians Rubins, Zachary Uens, Gustav Olofsson


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
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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
Capacité de l'Aréna35001500
Prix des Billets5025
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$5000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 18,311,944$ 18,311,944$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 0$ 0$




Bears

# 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
1Aliaksei Protas16469103172-9626234457611.98%200332420.2731316562021111649.07%21.0329
2Cole Schwindt1644587132-741052253784989.04%165356821.766142057101105145.26%00.7407
3Mackenzie Entwistle6345791242051775715628.85%13118618.8439122001102045.10%12.0900
4William Lockwood82455610116425616134912.89%81175621.424592802265052.11%21.1527
5Alex Chiasson77425496-4813610530413.82%36141718.4028101800005051.85%21.3502

Bears

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Iaroslav Askarov82275050.9073.5449546029231311785410.90933
2Felix Sandstrom39142230.8684.422349211731306747320.5717
3Dylan Ferguson3292210.8784.041918011291059724130.0000
4Michael Houser115600.8694.566580050383262200.0000

Bears

LigueDomicileVisiteur
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
2021826710131051570-519414350110031235-204412360021020335-3151951971481607182462101222192751692654161066522020.91%853657.65%023959939.90%32780240.77%495124539.76%251720391425497985455
202282235005202289359-704118210100115415314152904201135206-716028950579452109938262686966833876182753100326215961533220.92%1314069.47%1653134048.73%602124648.31%626122151.27%1764109318016721370685
202382165005461196294-9841102202241112136-24416280322084158-745919628047610737042132484876810767623132119737015401091917.43%1052675.24%3675134450.22%842168549.97%519103650.10%161095719696911382675
Total Saison Régulière246451710119735361223-687123327804342297524-227123139307631239699-46013853688214187818217014243579118421765186235575772854224238014825311.00%32110268.22%41567328347.73%1771373347.44%1640350246.83%589340905195186237391815

Bears

# 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

Bears

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA