Connexion

Bears
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Frédéric Tremblay | Morale : 75 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralFrédéric Tremblay
DivisionAtlantic
ConférenceEastern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 50
Espoirs39


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique184-157-36 (0.488%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)7-7
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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Greg CareyX100.00574089667186956766676769629385405000341800,000$
2Nicolas RoyXX100.00735480648779716668656567547574515000271750,000$
3Milos Roman (R)X100.005237976471797971617171655771725750002421,000,000$
4Tye FelhaberX100.00706670777879757669706967676971455000251950,000$
5Maros Jedlicka (R)XX100.00716671787777807660706970686363685000211850,000$
6Aapeli RasanenX100.00675580759381807981737370726874585000262800,000$
7Filip Hallander (R)XX100.00655085777983807872727169706668785000241900,000$
8Linus Oberg (R)X100.00634988768386807660697270736667635000241750,000$
9Jeremy LauzonX100.00583990647874626430636371477677595000271800,000$
10Joe HickettsX100.00533794646482706530646371467876405000281800,000$
11Tyler LewingtonX100.008172626581837072307272705881774250002911,300,000$
12Reilly WalshX100.00614988777784857930747171686768675000252950,000$
13David QuennevilleX100.00696769787781808030756976686972475000262900,000$
Rayé
1Alex KillornXX100.008063717277799569547268726897913350003400$
2Henrik BorgstromX100.005436976881737270757070696672717450002600$
3Adam GaudetteX100.005541837071687869757770587276744450002700$
4Ryan DonatoXXX100.005236977073767471567071636679785550002800$
5Mikhail MaltsevXX100.006246917682727576716972657274766150002600$
6Gerald MayhewXX100.005235926567937874607473675681803450003100$
7Anatoli GolyshevX100.005952857874747082607273727472744750002900$
8Andrey PedanX100.006757696492747654305755585879715650003100$
9Petter HanssonX100.006247887877858580307067756672723150002800$
MOYENNE D’ÉQUIPE100.0063508371787978725470696864757452500
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
1Landon Bow100.00777372918084868584777682863349002811,400,000$
Rayé
1Jonathan Bernier100.00858381717988908988858496994950003500$
2Louis Domingue100.00797775858082838282797887913450003200$
MOYENNE D’ÉQUIPE100.008078768280858685858079889239500
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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Plafond salarial 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 10Lien
Aapeli RasanenBears (WSH)C261998-06-01 14:42:33No207 Lbs6 ft0NoNoYesNo2Pro & Farm800,000$0$0$No800,000$
Adam GaudetteBears (WSH)C271996-10-03No170 Lbs6 ft1NoNoNoNo0Pro & Farm0$0$NoLien
Alex KillornBears (WSH)LW/RW341989-09-14No196 Lbs6 ft1NoNoYesNo0Pro & Farm0$0$NoLien / Lien NHL
Anatoli GolyshevBears (WSH)RW291995-02-14 17:05:25No190 Lbs5 ft9NoNoYesNo0Pro & Farm0$0$NoLien / Lien NHL
Andrey PedanBears (WSH)D311993-07-03No213 Lbs5 ft11NoNoYesNo0Pro & Farm0$0$NoLien
David QuennevilleBears (WSH)D261998-03-13 14:25:11No190 Lbs5 ft8NoNoYesNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Filip HallanderBears (WSH)C/LW242000-06-29 14:45:20Yes196 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Gerald MayhewBears (WSH)C/RW311992-12-31 13:18:38No170 Lbs5 ft10NoNoYesNo0Pro & Farm0$0$NoLien
Greg CareyBears (WSH)LW341990-04-05No204 Lbs5 ft10NoNoYesNo1Pro & Farm800,000$0$0$NoLien
Henrik BorgstromBears (WSH)C261997-08-06No190 Lbs6 ft3NoNoNoNo0Pro & Farm0$0$NoLien
Jeremy LauzonBears (WSH)D271997-04-28No204 Lbs6 ft1NoNoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Joe HickettsBears (WSH)D281996-05-04No180 Lbs5 ft8NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Jonathan BernierBears (WSH)G351988-08-07No186 Lbs6 ft0NoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Landon BowBears (WSH)G281995-08-24No212 Lbs6 ft5NoNoNoNo1Pro & Farm1,400,000$0$0$NoLien / Lien NHL
Linus ObergBears (WSH)RW242000-07-18 13:58:00Yes205 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Louis DomingueBears (WSH)G321992-03-06No212 Lbs6 ft3NoNoYesNo0Pro & Farm0$0$NoLien / Lien NHL
Maros JedlickaBears (WSH)LW/RW212002-10-23 17:22:09Yes181 Lbs6 ft1NoNoNoNo1Pro & Farm850,000$0$0$No
Mikhail MaltsevBears (WSH)C/LW261998-03-12 15:30:46No198 Lbs6 ft3NoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Milos RomanBears (WSH)C241999-11-06 14:46:35Yes192 Lbs6 ft0NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Nicolas RoyBears (WSH)C/RW271997-02-05No205 Lbs6 ft4NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Petter HanssonBears (WSH)D281996-05-16 12:21:04No196 Lbs6 ft2NoNoYesNo0Pro & Farm0$0$NoLien / Lien NHL
Reilly WalshBears (WSH)D251999-04-21 17:24:06No185 Lbs6 ft0NoNoNoNo2Pro & Farm950,000$0$0$No950,000$Lien / Lien NHL
Ryan DonatoBears (WSH)C/LW/RW281996-04-09No193 Lbs6 ft0NoNoNoNo0Pro & Farm0$0$NoLien
Tye FelhaberBears (WSH)LW251998-08-05 16:13:46No180 Lbs5 ft11NoNoNoNo1Pro & Farm950,000$0$0$NoLien / Lien NHL
Tyler LewingtonBears (WSH)D291994-12-05No202 Lbs6 ft2NoNoNoNo1Pro & Farm1,300,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2527.80194 Lbs6 ft00.72518,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aapeli Rasanen40122
2Linus Oberg30122
3Maros JedlickaFilip Hallander20122
4Tye Felhaber10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reilly WalshDavid Quenneville40122
2Tyler Lewington30122
3Joe Hicketts20122
4Reilly WalshDavid Quenneville10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aapeli Rasanen60122
2Linus Oberg40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reilly WalshDavid Quenneville60122
2Tyler Lewington40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Aapeli Rasanen60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reilly WalshDavid Quenneville60122
2Tyler Lewington40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Reilly WalshDavid Quenneville60122
2Aapeli Rasanen40122Tyler Lewington40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Aapeli Rasanen60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reilly WalshDavid Quenneville60122
2Tyler Lewington40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aapeli RasanenReilly WalshDavid Quenneville
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aapeli RasanenReilly WalshDavid Quenneville
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Greg Carey, Filip Hallander, Maros JedlickaGreg Carey, Filip HallanderMaros Jedlicka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Joe Hicketts, Joe Hicketts,
Tirs de pénalité
, Aapeli Rasanen, , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, Aapeli Rasanen, , , , Filip Hallander, Filip Hallander, Linus Oberg, Maros Jedlicka, Tye Felhaber,
Lignes de défense personnalisées en prolongation
Reilly Walsh, David Quenneville, , Tyler Lewington,


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 billets7033
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$ 1,295,000$ 1,295,000$ 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$




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
1Jakob Forsbacka Karlsson3481271702971842108749115810.97%59684119.6626608622900030191755.03%20.8702
2Nicolas Roy4321101792891815954791692511.89%137764917.712633591460001618251.62%40.7604
3Sam Gagner304961762721214053268010369.27%36590819.4424487222400004856.87%40.9200
4Henrik Borgstrom42779187266-6142668569118.67%72697216.331562771840001713852.88%00.76114
5Lawrence Pilut3956119825908728461159210.30%533868021.983242743070009600%00.6000

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
1Adin Hill417199156430.9013.252319934141255127102151540.60368
2Jonathan Bernier67362460.9402.3340210015625921206240.82829
3Malcolm Subban110293360.9092.7349278022424520160.66715

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
Saison régulière
20207634280551326524025381814023011361191738161403212129121888265483748139198708258887784483843250673562318202896121.11%2664981.58%41450279851.82%1407279950.27%612122450.00%184812731768567979492
20207634280551326524025381814023011361191738161403212129121888265483748139198708258887784483843250673562318202896121.11%2664981.58%41450279851.82%1407279950.27%612122450.00%184812731768567979492
202176283405513228248-203819110231214212616389230320186122-3676228409637218571669234877177077743242670463016752875418.82%2545080.31%11368269950.69%1390270651.37%587120148.88%184212691780564982492
202276293704402247264-1738171702101138131738122002301109133-2472247452699319277745252482783084729227668249616693036120.13%2235276.68%21429277851.44%1277264848.23%647128250.47%186313011762552965493
202376293002564201198338141401333104111-7381516012319787108320132052150498559122778938100381060304298140623491573119.75%1442681.94%3975196149.72%1048210149.88%526101651.77%156285716706861384712
Total Saison régulière38015415702124915120611901619086700913486566065019068870121157550584-34407120621473353128408429339421282642904291411021812756383727789333132526820.23%115322680.40%1466721303451.19%65291305350.02%2984594750.18%896659748751293752912683
Séries éliminatoires
202014770000049436633000002117484400000282621449901391121141405771871961761843612889318561119.64%39879.49%131858953.99%25649851.41%13322658.85%36025231610618494
Total Séries éliminatoires14770000049436633000002117484400000282621449901391121141405771871961761843612889318561119.64%39879.49%131858953.99%25649851.41%13322658.85%36025231610618494

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
1Ryan Donato1368141210285510.91%527621.280331300011046.15%01.0100
2Antti Suomela1495140216247412.16%331822.731121500001058.33%00.8800
3Adam Gaudette1431013163430506.00%231022.172571400000052.22%00.8400
4Joe Hicketts141910921913137.69%2327119.3900030001100%00.7400
5Jori Lehtera136394634244712.77%425719.842241410121160.67%00.7000

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
1Adin Hill147610.9032.94857414243501100