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Connexion

Bears
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jeremy Pilon | Morale : 50 | Moyenne d’équipe : 63
Prochains matchs #6 vs Comets

Comets
0-0-0, 0pts
2025-08-12
Bears
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Bears
0-0-0, 0pts
2025-08-14
Marlies
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Bears
0-0-0, 0pts
2025-08-17
Wolves
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJeremy Pilon
EntraîneurKevin Constantine
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineCharles Hudon
Assistant #1
Assistant #2Ryan Reaves


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 56
Espoirs27


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique87-67-10 (0.530%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2 - 4 (0.333%)
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Parker KellyXX100.0086466376697681746571767271635364506702611,800,000$
2Denis GurianovXX100.00645091787380926966707164727458605067X02811,800,000$
3Charles Hudon (C)XX100.0078458370697691686873737874725648506703111,500,000$
4Ryan Reaves (A)XX100.00787880727371847066716770708968215067X03812,500,000$
5Walker DuehrX100.0069459380726979716270667160534656506502731,500,000$
6Ryan SpoonerXXX100.0060459970717476695967666864706130476403331,200,000$
7Filip HallanderX100.006445877371777771737168686148456650640252750,000$
8Vladislav KamenevX100.006445807269767369757068656654495350640291900,000$
9Josh LeivoXX100.0058459669726974686568666664675446506403221,200,000$
10Joni IkonenX100.006645887267687467736869646052485950630261750,000$
11Greg MeirelesX100.006345937469677173736869696151476450630261750,000$
12Joakim NygardXX100.006145937170687269636666686461463447620323900,000$
13Erik BrannstromX100.0067538176717981774581717060655170476702511,800,000$
14Nathan BeaulieuX100.0063639072737676714566667463755546506603211,700,000$
15Connor CarrickX100.0063459271707178704570687066755049506503111,700,000$
16Michael DowningX100.0064498469737266694565616754706052506403021,200,000$
17Klas DahlbeckX100.006044976974707569456766696462473047640341900,000$
18Artyom MinulinX100.006644857271727363456663715651465650630271750,000$
Rayé
1Ivan MuranovXX100.007145787373686871616664725945456650620252750,000$
2Corban KnightX100.006144916970707569696467726355473850620341900,000$
3Mark ArcobelloX100.0057439470666561636962606360575230505903711,000,000$
4Linus ArnessonX100.006045867172736269455850735552515050610302800,000$
5Ronald BrickeyX100.007352827272716659455862695746465950610261750,000$
MOYENNE D’ÉQUIPE100.00664887727172756959686669636151504964
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Timo Pielmeier100.00767675747673787577778148533450610361900,000$
2Ian Scott100.00766666807673747474747145475850600261750,000$
Rayé
1Remi Poirier (R)100.00606060806060606060606045507050510233750,000$
MOYENNE D’ÉQUIPE100.0071676778716971707070714650545057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Constantine58746666999921USA663100,000$


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 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 Plafond 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
Artyom MinulinBears (Was)D271998-01-10RUSNo196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Charles HudonBears (Was)LW/RW311994-06-23CANNo196 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Connor CarrickBears (Was)D311994-04-13USANo198 Lbs5 ft10NoNoFree AgentNoNo12024-07-12FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Corban KnightBears (Was)C341990-09-10CANNo187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Denis GurianovBears (Was)LW/RW281997-06-07RUSNo195 Lbs6 ft2NoYesN/ANoNo12025-05-28FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Erik BrannstromBears (Was)D251999-09-02SWENo181 Lbs5 ft10NoNoTrade2024-11-15NoNo12025-05-28FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Filip HallanderBears (Was)C252000-06-29SWENo190 Lbs6 ft1NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Greg MeirelesBears (Was)C261999-01-01CANNo180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Ian ScottBears (Was)G261999-01-11CANNo178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Ivan MuranovBears (Was)LW/RW251999-10-06RUSNo209 Lbs6 ft4NoNoProspectNoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Joakim NygardBears (Was)LW/RW321993-01-08SWENo190 Lbs5 ft11NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Joni IkonenBears (Was)C261999-04-14FINNo172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Josh LeivoBears (Was)LW/RW321993-05-26CANNo192 Lbs6 ft2NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Klas DahlbeckBears (Was)D341991-07-06SWENo207 Lbs6 ft3NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Linus ArnessonBears (Was)D301994-09-21SWENo188 Lbs6 ft1NoNoN/ANoNo22024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Mark ArcobelloBears (Was)C371988-08-12USANo172 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Michael DowningBears (Was)D301995-05-19USANo204 Lbs6 ft3NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Nathan BeaulieuBears (Was)D321992-12-05CANNo200 Lbs6 ft2NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Parker KellyBears (Was)LW/RW261999-06-14CANNo168 Lbs5 ft11NoNoTrade2024-05-30NoNo12025-05-28FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Remi PoirierBears (Was)G232001-10-06CANYes210 Lbs6 ft2NoNoFree AgentNoNo32025-08-14FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Ronald BrickeyBears (Was)D261999-05-27USANo207 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Ryan ReavesBears (Was)LW/RW381987-01-20CANNo225 Lbs6 ft2NoYesN/ANoNo1FalseFalsePro & Farm2,500,000$0$0$No---------------------------Lien
Ryan SpoonerBears (Was)C/LW/RW331992-01-30CANNo198 Lbs5 ft11NoNoFree AgentNoNo32025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Timo PielmeierBears (Was)G361989-07-07GERNo176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Vladislav KamenevBears (Was)C291996-08-12RUSNo185 Lbs6 ft2NoNoN/ANoNo12025-05-28FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Walker DuehrBears (Was)LW271997-11-23USANo210 Lbs6 ft2NoNoFree AgentNoNo32025-05-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2629.58193 Lbs6 ft11.501,161,538$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Parker KellyFilip HallanderDenis Gurianov30023
2Ryan SpoonerVladislav KamenevCharles Hudon30023
3Walker DuehrJoni IkonenRyan Reaves25122
4Josh LeivoGreg MeirelesJoakim Nygard15041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromNathan Beaulieu35041
2Michael DowningConnor Carrick35041
3Klas DahlbeckArtyom Minulin30041
4Michael DowningNathan Beaulieu0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles HudonFilip HallanderDenis Gurianov50014
2Parker KellyVladislav KamenevRyan Reaves50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromNathan Beaulieu50023
2Connor CarrickMichael Downing50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan SpoonerCharles Hudon50005
2Filip HallanderParker Kelly50005
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nathan BeaulieuArtyom Minulin50050
2Connor CarrickMichael Downing50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Spooner50050Nathan BeaulieuArtyom Minulin50050
2Parker Kelly50050Connor CarrickMichael Downing50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip HallanderRyan Reaves50023
2Vladislav KamenevRyan Spooner50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromNathan Beaulieu50041
2Connor CarrickArtyom Minulin50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis GurianovFilip HallanderCharles HudonMichael DowningNathan Beaulieu
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles HudonVladislav KamenevParker KellyMichael DowningConnor Carrick
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Reaves, Denis Gurianov, Charles HudonDenis Gurianov, Parker KellyCharles Hudon
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Downing, Nathan Beaulieu, Connor CarrickMichael DowningConnor Carrick, Michael Downing
Tirs de pénalité
Charles Hudon, Denis Gurianov, Parker Kelly, Ryan Reaves, Vladislav Kamenev
Gardien
#1 : Timo Pielmeier, #2 : Ian Scott


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
1 - 2025-08-126Comets-Bears-
3 - 2025-08-1418Bears-Marlies-
6 - 2025-08-1742Bears-Wolves-
7 - 2025-08-1849Islanders-Bears-
10 - 2025-08-2171Bears-PenguinsF-
12 - 2025-08-2383Bears-Wolf Pack-
13 - 2025-08-2494Moose-Bears-
16 - 2025-08-27114Rocket-Bears-
19 - 2025-08-30137BruinsF-Bears-
23 - 2025-09-03162Bears-Moose-
24 - 2025-09-04175Comets-Bears-
28 - 2025-09-08196Firebirds-Bears-
30 - 2025-09-10217Bears-Checkers-
32 - 2025-09-12230Marlies-Bears-
34 - 2025-09-14250Bears-Comets-
36 - 2025-09-16257Bears-Phantoms-
37 - 2025-09-17270BruinsF-Bears-
40 - 2025-09-20290Bears-Checkers-
41 - 2025-09-21302StarsF-Bears-
44 - 2025-09-24323Condors-Bears-
46 - 2025-09-26343Bears-Barracuda-
48 - 2025-09-28356Marlies-Bears-
49 - 2025-09-29372Bears-Crunch-
51 - 2025-10-01385Bears-Phantoms-
54 - 2025-10-04400Wolf Pack-Bears-
56 - 2025-10-06414Bears-Thunderbirds-
58 - 2025-10-08430Wolves-Bears-
60 - 2025-10-10444Bears-Eagles-
62 - 2025-10-12460Comets-Bears-
64 - 2025-10-14475Bears-Marlies-
66 - 2025-10-16487Bears-Griffins-
67 - 2025-10-17499Rocket-Bears-
69 - 2025-10-19517Bears-Iowa Wild-
71 - 2025-10-21531Silver Knights-Bears-
74 - 2025-10-24554Americans-Bears-
76 - 2025-10-26564Bears-Reign-
79 - 2025-10-29587Americans-Bears-
81 - 2025-10-31598Bears-Wolves-
83 - 2025-11-02618Bears-Moose-
84 - 2025-11-03626Admirals-Bears-
87 - 2025-11-06649Bears-Roadrunners-
89 - 2025-11-08659Wranglers-Bears-
91 - 2025-11-10676Bears-Firebirds-
93 - 2025-11-12690Iowa Wild-Bears-
95 - 2025-11-14703Bears-BruinsF-
97 - 2025-11-16720Wolves-Bears-
99 - 2025-11-18740Bears-Firebirds-
101 - 2025-11-20753StarsF-Bears-
103 - 2025-11-22765Bears-Comets-
105 - 2025-11-24786Canucks-Bears-
109 - 2025-11-28814Moose-Bears-
113 - 2025-12-02839Islanders-Bears-
115 - 2025-12-04854Bears-Islanders-
117 - 2025-12-06869SenatorsF-Bears-
119 - 2025-12-08883Bears-SenatorsF-
121 - 2025-12-10903Islanders-Bears-
123 - 2025-12-12914Bears-Americans-
126 - 2025-12-15935PenguinsF-Bears-
128 - 2025-12-17946Bears-SenatorsF-
130 - 2025-12-19966Bears-Crunch-
131 - 2025-12-20974Crunch-Bears-
135 - 2025-12-24999Bears-Rocket-
136 - 2025-12-251006Phantoms-Bears-
139 - 2025-12-281032PenguinsF-Bears-
140 - 2025-12-291042Bears-Wolf Pack-
144 - 2026-01-021065Bears-Rocket-
146 - 2026-01-041067SenatorsF-Bears-
148 - 2026-01-061085Bears-BruinsF-
150 - 2026-01-081099Bears-Islanders-
151 - 2026-01-091109Crunch-Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-01-131129Wolf Pack-Bears-
158 - 2026-01-161150Bears-Americans-
160 - 2026-01-181163Firebirds-Bears-
161 - 2026-01-191178Bears-Icehogs-
164 - 2026-01-221194Bears-Gulls-
165 - 2026-01-231206Checkers-Bears-
169 - 2026-01-271228Monsters-Bears-
170 - 2026-01-281240Bears-Marlies-
174 - 2026-02-011262Phantoms-Bears-
177 - 2026-02-041276Bears-Wolf Pack-
179 - 2026-02-061286Checkers-Bears-
182 - 2026-02-091302Bears-PenguinsF-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
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$ 3,020,000$ 3,020,000$ 100,000$0$
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$ 185 16,865$ 3,120,025$




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
1Hunter Shinkaruk154517412594916318343011.86%38296619.26822308512388251.30%10.8427
2Charles Hudon1534860108-16829914947810.04%39298419.501016269411297449.79%00.72311
3Chris Wideman135216081-185814012018711.23%150297022.00111425840003430%00.5500
4Gaetan Haas8033366931145613819417.01%20152119.01610162900034449.34%30.9133
5Daniel Sprong823336693218687426312.55%10150818.4059145400010145.45%00.9105

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
1Timo Pielmeier86422850.8873.2646172225122250300.71932
2Chris Driedger60272840.8943.3134288018917780110.80025
3Jonas Gustavsson34181110.9012.66180202808090000.75012
4Ian Scott30000.8963.75800054800000

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
15824127032632652412441221201150133115184119150211313212661052654637280490838316248080981682666233473461614212674717.60%2554681.96%31379281049.07%1352273649.42%599130845.80%1936132019536231083537
1682294002362250290-4041181702121128136-841112300241122154-32792504376871087837213242678783078357252770462613922664818.05%2705480.00%31423283650.18%1448289350.05%703139750.32%1926131319626201081533
Total Saison régulière1647067055125515531-16824029032712612511082303802354254280-2618451590014151417716615529490615961646160912348611438124228135339517.82%52510080.95%62802564649.63%2800562949.74%1302270548.13%386326333916124321641070
Séries éliminatoires
15624000002024-430300000914-532100000111014203959006680201656071516542369323626.09%16568.75%011723150.65%8818148.62%5611250.00%148103137437940
Total Séries éliminatoires624000002024-430300000914-532100000111014203959006680201656071516542369323626.09%16568.75%011723150.65%8818148.62%5611250.00%148103137437940

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
1Andrey Pedan63692101241030.00%1413923.1730380000000%01.2900
2Chris Wideman534730371225.00%611322.7501140000100%01.2300
3Charles Hudon6437-201172615.38%212220.39022500011050.00%01.1400
4Gaetan Haas6257-123121811.11%111419.12145500000051.27%01.2200
5Hunter Shinkaruk61451692214.76%110818.10011100000054.55%00.9200

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
1Timo Pielmeier62300.8334.42285002112600000
2Jonas Gustavsson30010.9232.25800033900000