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Bears
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jeremie Theriault | Morale : 28 | Moyenne d’équipe : 69
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJeremie Theriault
EntraîneurManny Malhotra
DivisionDivision Sud-Est
ConférenceConference Est
CapitaineJordie Benn
Assistant #1
Assistant #2Justin Dowling


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 80
Espoirs9


Historique d'équipe

Saison actuelle0-0
Historique181-114-33 (0.552%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)6-12
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
1Justin Dowling (A)XXX100.005835817678767376847272707272740787003311,000,000$
2Beck Malenstyn (R)X100.00864087718377886963707072676466078700261875,000$
3Cole Koepke (R)X100.00683170697795937972707270716466078700251875,000$
4Lean Bergmann (R)XX100.00834680729169727374737371726563070700251950,000$
5Joona Luoto (R)XX100.00583595789263677268717273726764068700264950,000$
6Arttu RuotsalainenX100.00623689778087866980717371716567078700262875,000$
7Tyrell GoulbourneX100.00645866648375807265727173627367078690301850,000$
8Buddy RobinsonX100.00807684719973766266696973737868076690323950,000$
9Austin WatsonXXX100.00908371678674836571686771737770082690313925,000$
10Jay BeagleXX100.00785483638577826298706875698677078690381800,000$
11Maxim LetunovX100.00503595759279766778696966806965071680281825,000$
12Christoffer EhnXX100.00733593637271767087717074726965064680282950,000$
13Wyatt Kalynuk (R)X100.00693988677883817830727372666567011700272875,000$
14Gustav OlofssonX100.00524879719072757030696273587370065690294950,000$
15Jordie Benn (C)X100.00655886648084827130646073608375078690363800,000$
16Chad Krys (R)X100.00634285708183787930696068606566068690262925,000$
17Kyle BurroughsX100.009054716983727368306363715866670656902841,000,000$
18Andreas BorgmanX100.00684382617585787330656773637166074680281900,000$
Rayé
1Ryan GroppX100.00725593689168736970696769696965019680272800,000$
2Maxim MaminXXX100.00554070799065756865696869505050020670292900,000$
3Juuso RiikolaX100.00863595657279736230656272617568019680304900,000$
4Brennan Menell (R)X100.00533887717884806330716873616762020680264950,000$
MOYENNE D’ÉQUIPE100.0069468370837778705869687166706706169
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
1Mikhal Berdin (R)100.0073766763727772767075556471043700263950,000$
2Spencer Martin100.0073646372757364637372746777068690283925,000$
Rayé
1Collin Delia100.0064757772636273717173726881020690291925,000$
MOYENNE D’ÉQUIPE100.007072696970717070717367667604469
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Manny Malhotra66727867646083CAN443500,000$


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 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
Andreas BorgmanBears (WAS)D281995-06-18 12:43:54No205 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$32,143$0$0$No------------------Lien / Lien NHL
Arttu RuotsalainenBears (WAS)C261997-10-29 00:19:46No187 Lbs5 ft9NoNoN/ANoNo2Pro & Farm875,000$31,250$0$0$No875,000$--------No--------Lien / Lien NHL
Austin WatsonBears (WAS)C/LW/RW311992-10-02 16:22:30No194 Lbs6 ft4NoNoN/ANoNo3Pro & Farm925,000$33,036$0$0$No925,000$925,000$-------NoNo-------Lien / Lien NHL
Beck MalenstynBears (WAS)LW261998-02-04 02:23:16Yes200 Lbs6 ft3NoNoN/ANoNo1Pro & Farm875,000$31,250$0$0$No------------------Lien / Lien NHL
Brennan MenellBears (WAS)D261997-05-24 05:17:05Yes183 Lbs5 ft11NoNoN/ANoNo4Pro & Farm950,000$33,929$0$0$No950,000$950,000$950,000$------NoNoNo------Lien / Lien NHL
Buddy RobinsonBears (WAS)RW321991-09-30 11:58:00No236 Lbs6 ft5NoNoN/ANoNo3Pro & Farm950,000$33,929$0$0$No950,000$950,000$-------NoNo-------Lien / Lien NHL
Chad KrysBears (WAS)D261998-04-10 01:05:02Yes185 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$33,036$0$0$No925,000$--------No--------Lien
Christoffer EhnBears (WAS)C/LW281996-04-05 01:42:17No171 Lbs6 ft3NoNoN/ANoNo2Pro & Farm950,000$33,929$0$0$No950,000$--------No--------Lien / Lien NHL
Cole KoepkeBears (WAS)LW251998-05-17 02:25:29Yes196 Lbs6 ft1NoNoN/ANoNo1Pro & Farm875,000$31,250$0$0$No------------------Lien / Lien NHL
Collin DeliaBears (WAS)G291994-06-20 13:26:47No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm925,000$33,036$0$0$No------------------Lien / Lien NHL
Gustav OlofssonBears (WAS)D291994-12-01 01:49:25No196 Lbs6 ft3NoNoN/ANoNo4Pro & Farm950,000$33,929$0$0$No950,000$950,000$950,000$------NoNoNo------Lien / Lien NHL
Jay BeagleBears (WAS)C/RW381985-10-16 18:07:48No204 Lbs6 ft3NoNoN/ANoNo1Pro & Farm800,000$28,571$0$0$No------------------Lien / Lien NHL
Joona LuotoBears (WAS)LW/RW261997-09-26 14:49:32Yes192 Lbs6 ft3NoNoN/ANoNo4Pro & Farm950,000$33,929$0$0$No950,000$950,000$950,000$------NoNoNo------Lien
Jordie BennBears (WAS)D361987-07-26 02:20:01No207 Lbs6 ft1NoNoN/ANoNo3Pro & Farm800,000$28,571$0$0$No800,000$800,000$-------NoNo-------Lien / Lien NHL
Justin DowlingBears (WAS)C/LW/RW331990-10-01 19:13:25No185 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,000,000$35,714$0$0$No------------------Lien / Lien NHL
Juuso RiikolaBears (WAS)D301993-11-09 00:27:29No190 Lbs6 ft0NoNoN/ANoNo4Pro & Farm900,000$32,143$0$0$No900,000$900,000$900,000$------NoNoNo------Lien / Lien NHL
Kyle BurroughsBears (WAS)D281995-07-12 09:59:26No193 Lbs6 ft0NoNoN/ANoNo4Pro & Farm1,000,000$35,714$0$0$No1,000,000$1,000,000$1,000,000$------NoNoNo------Lien / Lien NHL
Lean BergmannBears (WAS)LW/RW251998-10-04 05:11:12Yes205 Lbs6 ft2NoNoN/ANoNo1Pro & Farm950,000$33,929$0$0$No------------------Lien / Lien NHL
Maxim LetunovBears (WAS)C281996-02-20 02:41:27No180 Lbs6 ft4NoNoN/ANoNo1Pro & Farm825,000$29,464$0$0$No------------------Lien / Lien NHL
Maxim MaminBears (WAS)C/LW/RW291995-01-13 01:36:29No201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$32,143$0$0$No900,000$--------No--------Lien / Lien NHL
Mikhal BerdinBears (WAS)G261998-03-01 07:45:36Yes184 Lbs6 ft2NoNoN/ANoNo3Pro & Farm950,000$33,929$0$0$No950,000$950,000$-------NoNo-------Lien
Ryan GroppBears (WAS)LW271996-09-16 22:24:44No194 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$28,571$0$0$No800,000$--------No--------Lien
Spencer MartinBears (WAS)G281995-06-08 16:56:52No209 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$33,036$0$0$No925,000$925,000$-------NoNo-------Lien / Lien NHL
Tyrell GoulbourneBears (WAS)LW301994-01-26 11:42:41No194 Lbs5 ft11NoNoN/ANoNo1Pro & Farm850,000$30,357$0$0$No------------------Lien / Lien NHL
Wyatt KalynukBears (WAS)D271997-04-14 02:50:05Yes180 Lbs6 ft1NoNoN/ANoNo2Pro & Farm875,000$31,250$0$0$No875,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2528.68195 Lbs6 ft12.24905,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beck MalenstynJustin DowlingJoona Luoto40122
2Lean BergmannArttu RuotsalainenBuddy Robinson30122
3Cole KoepkeJay BeagleAustin Watson20122
4Tyrell GoulbourneChristoffer EhnJustin Dowling10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukGustav Olofsson40122
2Jordie BennChad Krys30122
3Kyle BurroughsAndreas Borgman20122
4Wyatt KalynukGustav Olofsson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beck MalenstynJustin DowlingJoona Luoto60122
2Lean BergmannArttu RuotsalainenBuddy Robinson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukGustav Olofsson60122
2Jordie BennChad Krys40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin DowlingBeck Malenstyn60122
2Joona LuotoLean Bergmann40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukGustav Olofsson60122
2Jordie BennChad Krys40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Dowling60122Wyatt KalynukGustav Olofsson60122
2Beck Malenstyn40122Jordie BennChad Krys40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin DowlingBeck Malenstyn60122
2Joona LuotoLean Bergmann40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukGustav Olofsson60122
2Jordie BennChad Krys40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Beck MalenstynJustin DowlingJoona LuotoWyatt KalynukGustav Olofsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Beck MalenstynJustin DowlingJoona LuotoWyatt KalynukGustav Olofsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxim Letunov, Cole Koepke, Tyrell GoulbourneMaxim Letunov, Cole KoepkeTyrell Goulbourne
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Burroughs, Andreas Borgman, Jordie BennKyle BurroughsAndreas Borgman, Jordie Benn
Tirs de pénalité
Justin Dowling, Beck Malenstyn, Joona Luoto, Lean Bergmann, Arttu Ruotsalainen
Gardien
#1 : Mikhal Berdin, #2 : Spencer Martin


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 billets3018
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 joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,262,500$ 2,262,500$ 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$ 1 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
1Justin Dowling299100183283755829876785611.68%61557918.66173653107011313253.61%21.01510
2Martin Frk235110139249255023635884912.96%44468619.94244872165011312543.36%21.06511
3Joona Luoto32697151248543620042388310.99%64537716.501217291151231414850.18%20.9206
4Christoffer Ehn31385138223810442269476811.07%63525316.79202747125022129552.63%10.8507
5Tyrell Goulbourne32487118205157429030977211.27%60487915.061024341114041613644.86%00.8402

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
1Mikhal Berdin1235635160.8903.4462678135932770210.60728
2Joseph Woll80422650.8803.8244318228223450200.72722
3Olivier Roy67302460.8803.7736328122819050140.75012
4Spencer Martin53231440.8943.4127462015614750200.6676
5Collin Delia3217910.8773.8716882010988702200

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
2082343107721337307304117160521016214517411715025111751621394337616953511321009611276594789589740266474160518292717126.20%2526076.19%21424287349.56%1412272151.89%749144052.01%1954134419316001069540
218236290573233231022411913044101721462641171601322160164-497332603935021171218614281695689893057264372864717762917525.77%2445677.05%21502287152.32%1481280952.72%733143551.08%1987137919116061071535
22824620065233432915241211105301169147224125901222174144301163436039462012811790122926949927101749255073052118032755821.09%2325576.29%31588299653.00%1418268052.91%750142952.48%2042142818656001064537
2382313406533297303-641131703332149155-64118170320114814808829753182811108928813281192494690553266677868318142515019.92%2835979.15%21503290751.70%1498279253.65%696134451.79%1973134819326081066534
Total Saison régulière328147114024241091309121198164705701712536525935916477570712566576183939513092353366284485430360501131837763666374919910523297724567222108825423.35%101123077.25%960171164751.66%58091100252.80%2928564851.84%795855017641241542722147
Séries éliminatoires
20734000002632-63210000011101413000001522-76264672007108122069766411236874417020525.00%20385.00%111724048.75%12425748.25%6212748.82%170117181539446
217340000029245303000001014-44310000019109629528101813802679897720239603815522731.82%18666.67%013925654.30%13727350.18%5411049.09%172121158508947
22404000001421-720200000812-42020000069-30142640002480150435349514443188611436.36%7357.14%06513050.00%7814254.93%407851.28%1017396295225
Total Séries éliminatoires18612000006977-8826000002936-71046000004041-1126912419301172724163721022618516619190100411531630.19%451273.33%132162651.28%33967250.45%15631549.52%444311436133236119

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
1Martin Frk1881018-7416357310.96%638221.2355101500001048.57%00.9400
2Tyrell Goulbourne1861117-8224255012.00%530917.19088600001140.91%01.1000
3Chad Krys18113141102210175.88%2033018.3803350000000%00.8500
4Tyler Lewington13381121441131717.65%1629622.8212370000000%00.7400
5Joona Luoto166511507184313.95%818811.76000000011157.89%01.1700

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
1Joseph Woll73400.8963.55389012322100000
2Collin Delia30300.7746.4911100125300000
3Mikhal Berdin40010.9083.57168001010900000