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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: JF Langlais | Morale : 50 | Moyenne d’équipe : 54
Prochains matchs #5 vs Bruins

Bruins
0-0-0, 0pts
2025-04-19
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
2025-04-22
Sound Tigers
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
2025-04-23
Wolf Pack
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 généralJF Langlais
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure20
Limite contact 37 / 50
Espoirs18


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique37-36-8 (0.457%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
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
1John HaydenX100.00705460678174726550596165647464050650293800,000$
2Jacob Gaucher (R)X100.00624368656466656243595958625250050600231700,000$
3Jakub Demek (R)X100.00634171606762595942575454585050050570212851,683$
4Ryder Korczak (R)X100.00574171655962605943555254595050050560221859,167$
5Carson Bantle (R)X100.00634166586761585640535456565150050560222620,000$
6Ethan Phillips (R)X100.00333093655441533543292834345454050420231650,000$
7Zion Nybeck (R)X100.00384039394037373839373739384040050390222675,000$
8Ilya Safonov (R)X100.00373737373737373737373737373737050380233620,000$
9Viljami Marjala (R)X100.00373737373737373737373737373737050380213872,500$
10Jack Rathbone (R)X100.00594467715967656540605768655450050620252850,000$
11Christian Kyrou (R)X100.00554171695860576140585761625050050590212878,333$
12Kim Nousiainen (R)X100.00534268685857555439494760575150050560231859,167$
13Layton Ahac (R)X100.00554368616658565539474755555150050550232850,000$
Rayé
MOYENNE D’ÉQUIPE100.0052416359575555534149485253504905053
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
1Dennis Hildeby (R)100.0068626476707072697167595150050630231843,333$
2Nikke Kokko (R)100.0068616364666870686966565050050610203891,667$
Rayé
1Ethan Haider (R)100.0059575764595756545859545150050530232700,000$
2Daniil Chechelev (R)100.0058555366575557505352475042050510231650,000$
MOYENNE D’ÉQUIPE100.006359596863636460636154514805057
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 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
Carson BantleBears (Was)LW222002-01-22USAYes216 Lbs6 ft5NoNoTrade2024-10-23NoNo22024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Christian KyrouBears (Was)D212003-09-16CANYes172 Lbs5 ft10NoNoProspectNoNo22024-06-25FalseFalsePro & Farm878,333$0$0$No878,333$--------878,333$--------No--------Lien
Daniil ChechelevBears (Was)G232001-02-23RUSYes187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Dennis HildebyBears (Was)G232001-08-19SWEYes223 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm843,333$0$0$No---------------------------Lien
Ethan HaiderBears (Was)G232001-09-04USAYes190 Lbs6 ft4NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Ethan PhillipsBears (Was)RW232001-05-07CANYes154 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Ilya SafonovBears (Was)LW232001-05-30RUSYes205 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Jack RathboneBears (Was)D251999-05-20USAYes176 Lbs5 ft10NoNoFree AgentYesYes22024-09-06FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Jacob GaucherBears (Was)C232001-03-09CANYes190 Lbs6 ft4NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Jakub DemekBears (Was)C212003-06-06SLVYes196 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm851,683$0$0$No851,683$--------851,683$--------No--------Lien
John Hayden (contrat à 1 volet)Bears (Was)C291995-02-14USANo223 Lbs6 ft3NoNoN/AYesYes3FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Kim NousiainenBears (Was)D232000-11-14FINYes181 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------Lien
Layton AhacBears (Was)D232001-02-22CANYes205 Lbs6 ft2NoNoFree AgentNoNo22024-09-06FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Nikke KokkoBears (Was)G202004-03-14FINYes190 Lbs6 ft4NoNoProspectNoNo32025-07-10FalseFalsePro & Farm891,667$0$0$No891,667$891,667$-------891,667$891,667$-------NoNo-------Lien
Ryder KorczakBears (Was)C222002-09-23CANYes174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------Lien
Viljami MarjalaBears (Was)LW212003-01-29FINYes176 Lbs6 ft1NoNoProspectNoNo32025-07-10FalseFalsePro & Farm872,500$0$0$No872,500$872,500$-------872,500$872,500$-------NoNo-------Lien
Zion NybeckBears (Was)LW222002-05-12SWEYes183 Lbs5 ft8NoNoProspectNoNo22024-06-25FalseFalsePro & Farm675,000$0$0$No675,000$--------675,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1722.76191 Lbs6 ft11.88774,756$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob GaucherJohn HaydenJakub Demek40122
2Ryder KorczakEthan Phillips30122
3Zion Nybeck20122
4John HaydenJakub Demek10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Jack Rathbone30122
3Christian KyrouKim Nousiainen20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob GaucherJohn HaydenJakub Demek60122
2Ryder KorczakEthan Phillips40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Jack Rathbone40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John HaydenJakub Demek60122
2Jacob GaucherRyder Korczak40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Jack Rathbone40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1John Hayden6012260122
2Jakub Demek40122Jack Rathbone40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1John HaydenJakub Demek60122
2Jacob GaucherRyder Korczak40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Jack Rathbone40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob GaucherJohn HaydenJakub Demek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob GaucherJohn HaydenJakub Demek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Zion Nybeck, , Zion Nybeck
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christian Kyrou, Kim Nousiainen, Jack RathboneChristian KyrouKim Nousiainen, Jack Rathbone
Tirs de pénalité
John Hayden, Jakub Demek, Jacob Gaucher, Ryder Korczak,
Gardien
#1 : Dennis Hildeby, #2 :


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
2 - 2025-04-195Bruins-Bears-
5 - 2025-04-2228Bears-Sound Tigers-
6 - 2025-04-2338Bears-Wolf Pack-
8 - 2025-04-2552Thunder-Bears-
11 - 2025-04-2873Minnesota-Bears-
13 - 2025-04-3089Comets-Bears-
15 - 2025-05-02102Firebirds-Bears-
18 - 2025-05-05125Bears-Monsters-
19 - 2025-05-06135Senators-Bears-
22 - 2025-05-09159Bears-Stars-
25 - 2025-05-12179Sound Tigers-Bears-
26 - 2025-05-13186Bears-Crunch-
30 - 2025-05-17214Chiefs-Bears-
31 - 2025-05-18221Bears-Manchots-
33 - 2025-05-20236Bears-Thunder-
36 - 2025-05-23259Bears-Caroline-
38 - 2025-05-25273Bears-Cabaret Lady Mary Ann-
40 - 2025-05-27288Spiders-Bears-
42 - 2025-05-29304Monarchs-Bears-
44 - 2025-05-31315Oil Kings-Bears-
45 - 2025-06-01320Bears-Rocket-
47 - 2025-06-03341Thunder-Bears-
49 - 2025-06-05356Monsters-Bears-
51 - 2025-06-07367Oceanics-Bears-
53 - 2025-06-09386Marlies-Bears-
55 - 2025-06-11402Bears-Sound Tigers-
57 - 2025-06-13420Bears-Monarchs-
58 - 2025-06-14425Bears-Sags-
60 - 2025-06-16440Bears-Admirals-
62 - 2025-06-18459Monsters-Bears-
66 - 2025-06-22485Caroline-Bears-
68 - 2025-06-24503Bears-Oceanics-
71 - 2025-06-27526Bears-Minnesota-
73 - 2025-06-29539Marlies-Bears-
75 - 2025-07-01550Cougars-Bears-
76 - 2025-07-02562Bears-Cougars-
78 - 2025-07-04576Wolf Pack-Bears-
82 - 2025-07-08592Bears-Spiders-
84 - 2025-07-10607Bears-Cabaret Lady Mary Ann-
86 - 2025-07-12622Wolf Pack-Bears-
87 - 2025-07-13632Bears-Senators-
89 - 2025-07-15652Baby Hawks-Bears-
91 - 2025-07-17663Admirals-Bears-
93 - 2025-07-19677Stars-Bears-
95 - 2025-07-21694Bears-Baby Hawks-
97 - 2025-07-23713Bears-Jayhawks-
99 - 2025-07-25727Rocket-Bears-
101 - 2025-07-27742Sags-Bears-
103 - 2025-07-29761Cabaret Lady Mary Ann-Bears-
105 - 2025-07-31771Bears-Monsters-
107 - 2025-08-02792Bears-Comets-
109 - 2025-08-04806Bears-Heat-
110 - 2025-08-05818Bears-Oil Kings-
113 - 2025-08-08839Bears-Firebirds-
115 - 2025-08-10846Bears-Cougars-
117 - 2025-08-12864Caroline-Bears-
119 - 2025-08-14878Sound Tigers-Bears-
120 - 2025-08-15889Bears-Phantoms-
122 - 2025-08-17908Jayhawks-Bears-
142 - 2025-09-06911Phantoms-Bears-
144 - 2025-09-08931Las Vegas-Bears-
145 - 2025-09-09940Bears-Rocket-
148 - 2025-09-12962Roadrunners-Bears-
152 - 2025-09-16990Bears-Bruins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2025-09-181009Heat-Bears-
156 - 2025-09-201026Bears-Phantoms-
157 - 2025-09-211028Bears-Crunch-
159 - 2025-09-231044Bruins-Bears-
163 - 2025-09-271079Senators-Bears-
165 - 2025-09-291095Spiders-Bears-
167 - 2025-10-011111Monsters-Bears-
169 - 2025-10-031128Bears-Chiefs-
171 - 2025-10-051146Bears-Roadrunners-
173 - 2025-10-071166Bears-Las Vegas-
176 - 2025-10-101184Phantoms-Bears-
178 - 2025-10-121194Bears-Spiders-
180 - 2025-10-141213Crunch-Bears-
181 - 2025-10-151227Bears-Wolf Pack-
184 - 2025-10-181245Bears-Marlies-
187 - 2025-10-211263Bears-Manchots-
188 - 2025-10-221276Manchots-Bears-
190 - 2025-10-241295Bears-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,237,085$ 1,237,085$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,410$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 193 6,410$ 1,237,130$




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
1John Hayden79385896415211715021617.59%44166521.087233018000113148.96%21.1536
2Jacob Gaucher81334477124412910821615.28%40158119.52716233630382148.06%20.9724
3Jakub Demek81373471115511110118320.22%37166520.57810182900053033.06%10.8514
4Philip Tomasino323728653217503114924.83%1876123.7888162310125449.09%31.7101
5Kaedan Korczak81124961042831341976.09%118213226.33910193902210200%00.5700

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
1Dennis Hildeby81373480.8653.5646588327620471083440.55618
2Daniil Chechelev90200.8244.642330018102560000

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
202482323604514286306-2041171901301153145841151703213133161-2883286464750434712610810202341880877739218274968714432096832.54%1976567.01%6719139551.54%699143648.68%599121849.18%149268116878281782894
Total Saison régulière82323604514286306-2041171901301153145841151703213133161-2883286464750434712610810202341880877739218274968714432096832.54%1976567.01%6719139551.54%699143648.68%599121849.18%149268116878281782894
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Bears Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bears Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA