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Connexion

Bears
GP: 7 | W: 5 | L: 2 | OTL: 0 | P: 10
GF: 26 | GA: 21 | PP%: 16.13% | PK%: 78.26%
DG: Jeremy Pilon | Morale : 55 | Moyenne d’équipe : 63
Prochains matchs #114 vs Rocket

Centre de jeu
Bears
5-2-0, 10pts
4
FINAL
3 Wolf Pack
4-1-1, 9pts
Team Stats
W1SéquenceOTL1
2-1-0Fiche domicile2-0-1
3-1-0Fiche domicile2-1-0
5-2-0Derniers 10 matchs4-1-1
3.71Buts par match 4.33
3.00Buts contre par match 2.83
16.13%Pourcentage en avantage numérique24.00%
78.26%Pourcentage en désavantage numérique86.36%
Moose
3-2-0, 6pts
1
FINAL
5 Bears
5-2-0, 10pts
Team Stats
L1SéquenceW1
3-0-0Fiche domicile2-1-0
0-2-0Fiche domicile3-1-0
3-2-0Derniers 10 matchs5-2-0
2.40Buts par match 3.71
3.20Buts contre par match 3.00
20.00%Pourcentage en avantage numérique16.13%
81.25%Pourcentage en désavantage numérique78.26%
Rocket
4-3-0, 8pts
2025-08-27
Bears
5-2-0, 10pts
Statistiques d’équipe
L2SéquenceW1
1-2-0Fiche domicile2-1-0
3-1-0Fiche visiteur3-1-0
4-3-010 derniers matchs5-2-0
3.00Buts par match 3.71
3.29Buts contre par match 3.71
21.74%Pourcentage en avantage numérique16.13%
76.19%Pourcentage en désavantage numérique78.26%
BruinsF
5-1-0, 10pts
2025-08-30
Bears
5-2-0, 10pts
Statistiques d’équipe
W1SéquenceW1
3-0-0Fiche domicile2-1-0
2-1-0Fiche visiteur3-1-0
5-1-010 derniers matchs5-2-0
4.33Buts par match 3.71
3.67Buts contre par match 3.71
5.00%Pourcentage en avantage numérique16.13%
66.67%Pourcentage en désavantage numérique78.26%
Bears
5-2-0, 10pts
2025-09-03
Moose
3-2-0, 6pts
Statistiques d’équipe
W1SéquenceL1
2-1-0Fiche domicile3-0-0
3-1-0Fiche visiteur0-2-0
5-2-010 derniers matchs3-2-0
3.71Buts par match 2.40
3.00Buts contre par match 2.40
16.13%Pourcentage en avantage numérique20.00%
78.26%Pourcentage en désavantage numérique81.25%
Meneurs d'équipe
Buts
Connor Carrick
3
Passes
Connor Carrick
6
Points
Connor Carrick
9
Plus/Moins
Parker Kelly
4
Victoires
Timo Pielmeier
5
Pourcentage d’arrêts
Timo Pielmeier
0.902

Statistiques d’équipe
Buts pour
26
3.71 GFG
Tirs pour
259
37.00 Avg
Pourcentage en avantage numérique
16.1%
5 GF
Début de zone offensive
44.7%
Buts contre
21
3.00 GAA
Tirs contre
223
31.86 Avg
Pourcentage en désavantage numérique
78.3%%
5 GA
Début de la zone défensive
36.4%
Informations de l'équipe

Directeur généralJeremy Pilon
EntraîneurKevin Constantine
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineNathan Beaulieu
Assistant #1Connor Carrick
Assistant #2Ryan Reaves


Informations de l’aréna

Capacité3,000
Assistance2,921
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 56
Espoirs27


Historique d'équipe

Saison actuelle5-2-0 (10PTS)
Historique92-69-12 (0.532%)
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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Parker KellyXX96.0086466376697680746571767271635364566702611,800,000$
2Denis GurianovXX99.00645091787380926966707164727458605567X02811,800,000$
3Walker DuehrX99.0069459380726979716270667160534656566502731,500,000$
4Ryan SpoonerXXX100.0060459970717476695967666864706130566403331,200,000$
5Filip HallanderX100.006445877371777771737168686148456656640252750,000$
6Vladislav KamenevX100.006445807269767369757068656654495356640291900,000$
7Josh LeivoXX99.0058459669726974686568666664675446566403221,200,000$
8Joni IkonenX100.006645887267687467736869646052485956630261750,000$
9Greg MeirelesX100.006345937469677173736869696151476456630261750,000$
10Ivan MuranovXX100.007145787373686871616664725945456656620252750,000$
11Joakim NygardXX100.006145937170687269636666686461463456620323900,000$
12Corban KnightX100.006144916970707569696467726355473851620351900,000$
13Erik BrannstromX100.0067538176717981774581717060655170566702611,800,000$
14Nathan Beaulieu (C)X100.0063639072737676714566667463755546566603211,700,000$
15Connor Carrick (A)X100.0063459271707178704570687066755049566503111,700,000$
16Michael DowningX100.0064498469737266694565616754706052566403021,200,000$
17Linus ArnessonX100.006045867172736269455850735552515054610302800,000$
18Ronald BrickeyX100.007352827272716659455862695746465951610261750,000$
Rayé
1Ryan Reaves (A)XX92.31787880727371847066716770708968214367X03812,500,000$
2Klas DahlbeckX95.776044976974707569456766696462473039640341900,000$
3Artyom MinulinX86.086644857271727363456663715651465641630271750,000$
MOYENNE D’ÉQUIPE98.38664887727172756959686669626151515364
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
1Ian Scott100.00766666807673747474747145475858600261750,000$
Rayé
1Timo Pielmeier94.00767675747673787577778148533452610361900,000$
2Remi Poirier (R)100.00606060806060606060606045507046510233750,000$
MOYENNE D’ÉQUIPE98.0071676778716971707070714650545257
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
1Connor CarrickBears (Was)D736906082191915.79%915622.38303924000015010%000001.1500000110
2Parker KellyBears (Was)LW/RW7358420218346188.82%114020.060228260002140041.67%1200001.1400000111
3Filip HallanderBears (Was)C725730017217159.52%012417.85022128000022050.00%18000001.1200000010
4Vladislav KamenevBears (Was)C7257140718214169.52%112417.85033724000000049.64%13700001.1200000002
5Ryan SpoonerBears (Was)C/LW/RW7325120232111114.29%213018.68000060000180055.88%3400000.7600000000
6Ivan MuranovBears (Was)LW/RW7235220951601012.50%111816.951122110000181060.00%1000000.8400000100
7Erik BrannstromBears (Was)D7145360204176115.88%915021.48011132900003100%000000.6700000100
8Walker DuehrBears (Was)LW7224120741551913.33%012417.85000125000021041.67%1200000.6400000000
9Denis GurianovBears (Was)LW/RW6134100471021510.00%012520.94011127000030044.44%900000.6400000000
10Nathan BeaulieuBears (Was)D7224120125184611.11%616123.071011329000021000%000000.5000000000
11Joni IkonenBears (Was)C71232003890711.11%08812.6900000000000065.09%10600000.6800000001
12Michael DowningBears (Was)D712321005293111.11%1013319.0600000000013000%000000.4500000100
13Joakim NygardBears (Was)LW/RW7202-1204461733.33%0476.780000000000000%100000.8400000001
14Ryan ReavesBears (Was)LW/RW5022-1009619370%17715.5200019000000050.00%200000.5200000000
15Josh LeivoBears (Was)LW/RW71121001462416.67%1628.9300002000000133.33%300000.6400000000
16Ronald BrickeyBears (Was)D3011100312010%45117.2200000000011000%000000.3900000000
17Greg MeirelesBears (Was)C7011-100411124100%19113.020004260000180053.52%14200000.2200000000
18Linus ArnessonBears (Was)D4000240232220%66516.440000000005000%00000000000000
19Artyom MinulinBears (Was)D4000020420020%46315.800000000007000%00000000000000
20Klas DahlbeckBears (Was)D3000-140122040%13812.680000000003000%00000000000000
21Corban KnightBears (Was)C3000000000000%000.280000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne126264672214801271062595117510.04%57207916.50510156027100021585253.09%64800000.6900000535
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
1Timo PielmeierBears (Was)75200.9023.0940800212140000070000
2Ian ScottBears (Was)10001.00001800090000007000
Statistiques d’équipe totales ou en moyenne85200.9062.964260021223000077000


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 Minulin (sur la masse salariale)Bears (Was)D271998-01-10RUSNo196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$Yes---------------------------Lien
Connor CarrickBears (Was)D311994-04-13USANo198 Lbs5 ft10NoNoFree AgentNoNo12024-07-12FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Corban KnightBears (Was)C351990-09-10CANNo187 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)D261999-09-02SWENo181 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
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 Reaves (sur la masse salariale)Bears (Was)LW/RW381987-01-20CANNo225 Lbs6 ft2NoYesN/ANoNo1FalseFalsePro & Farm2,500,000$0$0$Yes---------------------------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 Pielmeier (sur la masse salariale)Bears (Was)G361989-07-07GERNo176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$Yes---------------------------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
2429.29194 Lbs6 ft11.541,154,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis GurianovFilip HallanderParker Kelly30023
2Josh LeivoVladislav KamenevRyan Spooner30023
3Walker DuehrJoni IkonenIvan Muranov25122
4Joakim NygardGreg MeirelesJosh Leivo15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromNathan Beaulieu35041
2Connor CarrickMichael Downing35041
3Linus ArnessonRonald Brickey30041
4Erik BrannstromNathan Beaulieu0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis GurianovFilip HallanderIvan Muranov50014
2Josh LeivoGreg MeirelesWalker Duehr50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromNathan Beaulieu50023
2Connor CarrickVladislav Kamenev50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Greg MeirelesIvan Muranov50041
2Ryan SpoonerDenis Gurianov50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nathan BeaulieuMichael Downing50041
2Connor CarrickRonald Brickey50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ivan Muranov50050Nathan BeaulieuMichael Downing50050
2Denis Gurianov50050Connor CarrickRonald Brickey50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip HallanderDenis Gurianov50023
2Vladislav KamenevWalker Duehr50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromNathan Beaulieu50041
2Connor CarrickMichael Downing50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis GurianovFilip HallanderParker KellyErik BrannstromNathan Beaulieu
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan MuranovRyan SpoonerDenis GurianovNathan BeaulieuRonald Brickey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Denis Gurianov, Vladislav Kamenev, Filip HallanderDenis Gurianov, Vladislav KamenevIvan Muranov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Erik Brannstrom, Nathan Beaulieu, Connor CarrickErik BrannstromNathan Beaulieu, Michael Downing
Tirs de pénalité
Denis Gurianov, Vladislav Kamenev, Filip Hallander, Ivan Muranov, Josh Leivo
Gardien
#1 : , #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
1Comets1010000045-11010000045-10000000000000.000481200712523482917883261020200.00%5260.00%016028556.14%11323248.71%7112059.17%178122160498846
2Islanders11000000541110000005410000000000021.000591400712522282917884288163133.33%4175.00%016028556.14%11323248.71%7112059.17%178122160498846
3Marlies1010000024-2000000000001010000024-200.00024600712523582917883364244125.00%10100.00%016028556.14%11323248.71%7112059.17%178122160498846
4Moose11000000514110000005140000000000021.000510150071252388291788265820200.00%40100.00%016028556.14%11323248.71%7112059.17%178122160498846
5PenguinsF10001000321000000000001000100032121.00034700712524082917883013217700.00%10100.00%016028556.14%11323248.71%7112059.17%178122160498846
6Wolf Pack10001000431000000000001000100043121.00047110071252448291788371314148225.00%7271.43%016028556.14%11323248.71%7112059.17%178122160498846
7Wolves11000000321000000000001100000032121.00034700712524682917882362165120.00%10100.00%016028556.14%11323248.71%7112059.17%178122160498846
Total732020002621532100000141044110200012111100.71426467200712522598291788223574812731516.13%23578.26%016028556.14%11323248.71%7112059.17%178122160498846
_Since Last GM Reset732020002621532100000141044110200012111100.71426467200712522598291788223574812731516.13%23578.26%016028556.14%11323248.71%7112059.17%178122160498846
_Vs Conference732020002621532100000141044110200012111100.71426467200712522598291788223574812731516.13%23578.26%016028556.14%11323248.71%7112059.17%178122160498846

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
710W1264672259223574812700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73220002621
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001410
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41120001211
Derniers 10 matchs
WLOTWOTL SOWSOL
322000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31516.13%23578.26%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
829178871252
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
16028556.14%11323248.71%7112059.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
178122160498846


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 - 2025-08-126Comets5Bears4LSommaire du match
3 - 2025-08-1418Bears2Marlies4LSommaire du match
6 - 2025-08-1742Bears3Wolves2WSommaire du match
7 - 2025-08-1849Islanders4Bears5WSommaire du match
10 - 2025-08-2171Bears3PenguinsF2WXSommaire du match
12 - 2025-08-2383Bears4Wolf Pack3WXSommaire du match
13 - 2025-08-2494Moose1Bears5WSommaire du match
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
Assistance5,8412,922
Assistance PCT97.35%97.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2921 - 97.37% 108,800$326,400$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
194,081$ 2,355,000$ 2,355,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 187,057$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,134,400$ 172 13,270$ 2,282,440$




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
4Parker Kelly8939387727919310930612.75%19172819.42610167511254450.25%20.8938
5Vladislav Kamenev133304575-74610819428710.45%11225716.97814226000002248.26%00.6635

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 Pielmeier93473050.8883.2550262227224390300.71932
2Chris Driedger60272840.8943.3134288018917780110.80025
3Jonas Gustavsson34181110.9012.66180202808090000.75012
4Ian Scott40000.9123.06980055700000

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
177320200026215321000001410441102000121111026467200712522598291788223574812731516.13%23578.26%016028556.14%11323248.71%7112059.17%178122160498846
Total Saison régulière1717369075125541552-11854230032712752611486313904354266291-25194541946148714184178160315165167817371687131508414951290294056410017.73%54810580.84%62962593149.94%2913586149.70%1373282548.60%404127564076129322531117
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