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Bears
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Karp | Morale : 14 | Moyenne d’équipe : 60

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralKarp
EntraîneurDean Evason
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 90
Espoirs39


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
1Simon Holmstrom0X99.00524689638681746252677171795262036640232975,000$
2Pierrick Dube0X100.00503884667673606346646863645060044610231750,000$
3Ryan Lomberg0X100.009447816179746753516162636160710476103021,750,000$
4Justin Kirkland0X100.00504182638169606262676361625060033600282775,000$
5Ben Meyers0X100.005944846281756060676564626352620256002611,000,000$
6Mason Morelli0X100.00534586618476606152646661635060037600282950,000$
7Michael Pezzetta0X100.009968775986706056546661636152650196002611,100,000$
8Jeff Malott0X100.00504675558760606440666662635060044590282775,000$
9Matt Luff0X100.00504475568460606340646862645060035590272775,000$
10Simon Benoit0X100.0099568860868064642062607855546802167N02621,410,000$
11Alexander Alexeyev0X100.007948865589746066206260725852630196302531,200,000$
12David Jiricek (R)0X100.00524586608576667320686369575161046630213950,000$
13Kevin Korchinski (R)0X100.00524192648184786020656370605161044630203950,000$
14Brandon Scanlin0X100.00504986528969607220616267615060042600252825,000$
15Ville Ottavainen (R)0X100.00504975519060607620656268615060039600223875,000$
16Robin Salo0X100.00504375558260607420636168615060022590261875,000$
17Kim Nousiainen0X100.00504075557760607120615968605060030590241875,000$
Rayé
1Kyle MacLean0X98.00684987628375686064666460705261019610251875,000$
2Tyler Madden0X100.00503875607660605940636462625060020580252825,000$
3Dmitry Ovchinnikov (R)0X100.00503775617560605940616762645060018580222775,000$
4Ryan Mast (R)0X100.00505075479160606920606068605060020580213775,000$
5Riley Stillman0X100.005044755283606070206060686050600155802611,350,000$
MOYENNE D’ÉQUIPE99.8659468158836963643764636662516203161
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
1Georgi Romanov0100.0059726989626360636360617068021640251950,000$
2Drew DeRidder (R)0100.0043585582474745474743467068051520241775,000$
Rayé
1Talyn Boyko0100.0039595692434442444440426666027510223775,000$
MOYENNE D’ÉQUIPE100.004763608851514951514850696703356
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason75757575757575CAN6060$


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 Salaire restantPlafond 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
Alexander Alexeyev (contrat à 1 volet)Bears (WSH)D251999-11-15RUSNo213 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm1,200,000$1,114,286$50,000$46,429$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------
Ben MeyersBears (WSH)C261998-11-15USANo194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$928,571$0$0$No---------------------------
Brandon ScanlinBears (WSH)D251999-06-02CANNo216 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm825,000$766,071$0$0$No825,000$--------825,000$--------No--------
David JiricekBears (WSH)D212003-11-28CZEYes199 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm950,000$882,143$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Dmitry OvchinnikovBears (WSH)LW222002-08-19RUSYes166 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Drew DeRidderBears (WSH)G242000-05-01USAYes179 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Georgi RomanovBears (WSH)G251999-12-15RUSNo207 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm950,000$882,143$0$0$No---------------------------
Jeff MalottBears (WSH)LW281996-08-07CANNo204 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Justin KirklandBears (WSH)C281996-08-02CANNo183 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Kevin KorchinskiBears (WSH)D202004-06-21CANYes185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm950,000$882,143$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Kim NousiainenBears (WSH)D242000-11-14FINNo181 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm875,000$812,500$0$0$No---------------------------
Kyle MacLeanBears (WSH)C251999-04-29USANo195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm875,000$812,500$0$0$No---------------------------
Mason MorelliBears (WSH)LW281996-02-01USANo200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm950,000$882,143$0$0$No950,000$--------950,000$--------No--------
Matt LuffBears (WSH)RW271997-05-05CANNo196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Michael Pezzetta (contrat à 1 volet)Bears (WSH)LW261998-03-13CANNo210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$1,021,429$0$0$No---------------------------
Pierrick DubeBears (WSH)RW232001-01-07FRANo172 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$696,429$0$0$No---------------------------
Riley Stillman (contrat à 1 volet)Bears (WSH)D261998-03-09CANNo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$1,253,571$200,000$185,714$No---------------------------
Robin SaloBears (WSH)D261998-10-13FINNo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm875,000$812,500$0$0$No---------------------------
Ryan Lomberg (contrat à 1 volet)Bears (WSH)LW301994-09-12CANNo187 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,750,000$1,625,000$600,000$557,143$No1,750,000$--------1,750,000$--------No--------
Ryan MastBears (WSH)D212003-01-14USAYes221 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm775,000$719,643$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Simon Benoit (contrat à 1 volet)Bears (WSH)D261998-09-19CANNo203 Lbs6 ft3YesNoN/ANoNo2FalseFalsePro & Farm1,410,000$1,309,286$260,000$241,429$No1,410,000$--------1,410,000$--------Yes--------
Simon Holmstrom (contrat à 1 volet)Bears (WSH)RW232001-05-24SWENo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$905,357$0$0$No975,000$--------975,000$--------No--------
Talyn BoykoBears (WSH)G222002-10-16CANNo201 Lbs6 ft8NoNoN/ANoNo3FalseFalsePro & Farm775,000$719,643$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Tyler MaddenBears (WSH)C251999-11-09USANo170 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm825,000$766,071$0$0$No825,000$--------825,000$--------No--------
Ville OttavainenBears (WSH)D222002-08-12FINYes216 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm875,000$812,500$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.72196 Lbs6 ft21.88956,400$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan LombergSimon Holmstrom40122
2Michael PezzettaBen MeyersPierrick Dube30122
3Mason MorelliJustin KirklandMatt Luff20122
4Jeff MalottPierrick Dube10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitDavid Jiricek40122
2Kevin KorchinskiAlexander Alexeyev30122
3Brandon ScanlinKim Nousiainen20122
4Simon BenoitDavid Jiricek10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan LombergSimon Holmstrom60122
2Michael PezzettaBen MeyersPierrick Dube40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitDavid Jiricek60122
2Kevin KorchinskiAlexander Alexeyev40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin Kirkland60122
2Ryan LombergPierrick Dube40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitDavid Jiricek60122
2Kevin KorchinskiAlexander Alexeyev40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Lomberg60122Simon BenoitDavid Jiricek60122
240122Kevin KorchinskiAlexander Alexeyev40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael Pezzetta60122
2Ryan LombergPierrick Dube40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitDavid Jiricek60122
2Kevin KorchinskiAlexander Alexeyev40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergSimon HolmstromSimon BenoitDavid Jiricek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergSimon HolmstromSimon BenoitDavid Jiricek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Mason Morelli, Justin Kirkland, Mason MorelliJustin Kirkland
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Scanlin, Kim Nousiainen, Kevin KorchinskiBrandon ScanlinKim Nousiainen, Kevin Korchinski
Tirs de pénalité
Mason Morelli, , Ryan Lomberg, Pierrick Dube, Michael Pezzetta
Gardien
#1 : Georgi Romanov, #2 : Drew DeRidder
Lignes d’attaque personnalisées en prolongation
Simon Holmstrom, , Ryan Lomberg, Pierrick Dube, Michael Pezzetta, Mason Morelli, Ben Meyers, Justin Kirkland, Matt Luff, Jeff Malott
Lignes de défense personnalisées en prolongation
Simon Benoit, David Jiricek, Kevin Korchinski, Alexander Alexeyev, Brandon Scanlin


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
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,612,500$ 1,612,500$ 0$0$
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$ 13 0$ 0$




Bears 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

Bears 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

Bears 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

Bears 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

Bears 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