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Bears
GP: 10 | W: 5 | L: 5 | OTL: 0 | P: 10
GF: 44 | GA: 44 | PP%: 36.36% | PK%: 65.52%
DG: JF Langlais | Morale : 50 | Moyenne d’équipe : 56
Prochains matchs #179 vs Sound Tigers

Centre de jeu
Senators
5-6-0, 10pts
5
FINAL
3 Bears
5-5-0, 10pts
Team Stats
L1SéquenceL2
2-4-0Fiche domicile2-4-0
3-2-0Fiche domicile3-1-0
5-5-0Derniers 10 matchs5-5-0
3.36Buts par match 4.40
3.73Buts contre par match 4.40
43.75%Pourcentage en avantage numérique36.36%
62.96%Pourcentage en désavantage numérique65.52%
Bears
5-5-0, 10pts
2
FINAL
6 Stars
7-2-1, 15pts
Team Stats
L2SéquenceW5
2-4-0Fiche domicile5-1-0
3-1-0Fiche domicile2-1-1
5-5-0Derniers 10 matchs7-2-1
4.40Buts par match 5.50
4.40Buts contre par match 3.60
36.36%Pourcentage en avantage numérique79.17%
65.52%Pourcentage en désavantage numérique76.00%
Sound Tigers
3-3-3, 9pts
2025-10-31
Bears
5-5-0, 10pts
Statistiques d’équipe
W1SéquenceL2
1-1-3Fiche domicile2-4-0
2-2-0Fiche visiteur3-1-0
3-3-310 derniers matchs5-5-0
4.00Buts par match 4.40
4.44Buts contre par match 4.40
31.82%Pourcentage en avantage numérique36.36%
62.50%Pourcentage en désavantage numérique65.52%
Bears
5-5-0, 10pts
2025-11-01
Crunch
2-7-1, 5pts
Statistiques d’équipe
L2SéquenceL3
2-4-0Fiche domicile1-5-1
3-1-0Fiche visiteur1-2-0
5-5-010 derniers matchs2-7-1
4.40Buts par match 4.60
4.40Buts contre par match 4.60
36.36%Pourcentage en avantage numérique27.59%
65.52%Pourcentage en désavantage numérique75.00%
Chiefs
7-3-0, 14pts
2025-11-05
Bears
5-5-0, 10pts
Statistiques d’équipe
W1SéquenceL2
5-1-0Fiche domicile2-4-0
2-2-0Fiche visiteur3-1-0
7-3-010 derniers matchs5-5-0
4.20Buts par match 4.40
3.70Buts contre par match 4.40
19.05%Pourcentage en avantage numérique36.36%
82.35%Pourcentage en désavantage numérique65.52%
Meneurs d'équipe
Buts
Boris Katchouk
9
Passes
Kaedan Korczak
10
Points
Boris Katchouk
18
Plus/Moins
Boris Katchouk
6
Victoires
Dennis Hildeby
4
Pourcentage d’arrêts
Dennis Hildeby
0.846

Statistiques d’équipe
Buts pour
44
4.40 GFG
Tirs pour
264
26.40 Avg
Pourcentage en avantage numérique
36.4%
8 GF
Début de zone offensive
32.6%
Buts contre
44
4.40 GAA
Tirs contre
243
24.30 Avg
Pourcentage en désavantage numérique
65.5%%
10 GA
Début de la zone défensive
35.1%
Informations de l'équipe

Directeur généralJF Langlais
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,280
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 50
Espoirs18


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
1Boris KatchoukX100.00694574697374716846656365676050050650261800,000$
2John HaydenX100.00705460678174726550596165647464050650293800,000$
3Jacob Gaucher (R)X100.00624368656466656243595958625250050600231700,000$
4Jakub Demek (R)X100.00634171606762595942575454585050050570212851,683$
5Ryder Korczak (R)X100.00574171655962605943555254595050050560221859,167$
6Carson Bantle (R)X100.00634166586761585640535456565150050560222620,000$
7Kaleb Lawrence (R)X100.0064426257706058574054555756505005056N0212800,000$
8Milo Roelens (R)X100.0064426358686058574954555657505005056N0212700,000$
9Ethan Phillips (R)X100.00333093655441533543292834345454050420231650,000$
10Ilya Safonov (R)X100.00373737373737373737373737373737050380233620,000$
11Viljami Marjala (R)X100.00373737373737373737373737373737050380213872,500$
12Kaedan Korczak (R)X100.006541807383827168406860706762530506802311,200,000$
13Shakir Mukhamadullin (R)X100.00614178737877656740656169675550050660221894,167$
14Jack Rathbone (R)X100.00594467715967656540605768655450050620252850,000$
15Christian Kyrou (R)X100.00554171695860576140585761625050050590212878,333$
16Kim Nousiainen (R)X100.00534268685857555439494760575150050560231859,167$
17Layton Ahac (R)X100.00554368616658565539474755555150050550232850,000$
Rayé
1Alex FormentonX100.0065667479655463543350587422565605061N0252800,000$
2Zion Nybeck (R)X100.00384039394037373839373739384040050390222675,000$
MOYENNE D’ÉQUIPE100.0056436662625958554152525654525005056
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
1Boris KatchoukBears (Was)LW9991861810181137112024.32%318921.041235131011131150.00%10104011.9001110220
2John HaydenBears (Was)C9771449514244183517.07%721123.501233120112150061.74%26477001.3211001001
3Kaedan KorczakBears (Was)D9210124201318188711.11%1924226.96213215011117000%0710000.9911000200
4Jacob GaucherBears (Was)C962810017132481925.00%515317.07213311000060050.00%9251011.0401000030
5Milo RoelensBears (Was)C9358-2951951671218.75%516318.19112211000000046.15%2660000.9800100001
6Shakir MukhamadullinBears (Was)D925734010232712127.41%824126.83011415101116100%0512000.5800000001
7Carson BantleBears (Was)LW924634012991722.22%514916.62022010011152050.00%416000.8011000000
8Jack RathboneBears (Was)D9134-1209811489.09%1218020.0400009000113010%047000.4401000200
9Christian KyrouBears (Was)D9044-1406914110%817719.7202229000012000%012000.4500000010
10Ryder KorczakBears (Was)C9123-62018411399.09%113815.4300001000010066.67%335000.4300000001
11Jakub DemekBears (Was)C9213-6201411184911.11%313915.5300000000050152.73%5535000.4311000000
12Kim NousiainenBears (Was)D9022-2004135110%212213.600000000000000%015000.3300000000
13Ethan PhillipsBears (Was)RW91014005682412.50%317719.70000212000000080.00%501000.1100000000
14Ilya SafonovBears (Was)LW9011-3601343030%414215.8200000000080071.43%702000.1400000000
15Kaleb LawrenceBears (Was)C9101-1207431233.33%0606.7300001000040050.00%1001000.3300000001
16Layton AhacBears (Was)D9000-300230200%512413.860000000003000%00300000000000
17Viljami MarjalaBears (Was)LW9000-400200000%0465.130000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne153375592-464201831652457314915.10%90266117.40712192312623571254357.23%4775371020.6947211665
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
1Dennis HildebyBears (Was)94400.8463.855150033214106100.500690000
2Nikke KokkoBears (Was)21000.5008.282900484000009000
Statistiques d’équipe totales ou en moyenne115400.8334.07545003722211010699000


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
Alex FormentonBears (Was)LW251999-09-13ONTNo165 Lbs6 ft2YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Boris KatchoukBears (Was)LW261998-06-18CANNo205 Lbs6 ft2NoNoFree AgentYesYes12024-09-06FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
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
Kaedan KorczakBears (Was)D232001-01-29CANYes203 Lbs6 ft3NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Kaleb LawrenceBears (Was)C212003-01-10CANYes229 Lbs6 ft7YesNoFree AgentNoNo22025-09-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$852,500$-------No--------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
Milo RoelensBears (Was)C212003-01-16CANYes216 Lbs6 ft7YesNoFree AgentNoNo22025-09-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$870,000$-------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
Shakir MukhamadullinBears (Was)D222002-01-10RUSYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm894,167$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
2322.83194 Lbs6 ft21.78798,479$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukJohn HaydenEthan Phillips40122
2Carson BantleJacob GaucherMilo Roelens30122
3Ilya SafonovJakub DemekRyder Korczak20122
4Viljami MarjalaMilo RoelensJohn Hayden10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakShakir Mukhamadullin40122
2Jack RathboneChristian Kyrou30122
3Kim NousiainenLayton Ahac20122
4Kaedan KorczakShakir Mukhamadullin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukJohn HaydenEthan Phillips60122
2Carson BantleJacob GaucherMilo Roelens40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakShakir Mukhamadullin60122
2Jack RathboneChristian Kyrou40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John HaydenBoris Katchouk60122
2Jacob GaucherJakub Demek40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakShakir Mukhamadullin60122
2Jack RathboneChristian Kyrou40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1John Hayden60122Kaedan KorczakShakir Mukhamadullin60122
2Boris Katchouk40122Jack RathboneChristian Kyrou40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1John HaydenBoris Katchouk60122
2Jacob GaucherJakub Demek40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakShakir Mukhamadullin60122
2Jack RathboneChristian Kyrou40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukJohn HaydenEthan PhillipsKaedan KorczakShakir Mukhamadullin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukJohn HaydenEthan PhillipsKaedan KorczakShakir Mukhamadullin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaleb Lawrence, Ryder Korczak, Ilya SafonovKaleb Lawrence, Ryder KorczakIlya Safonov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kim Nousiainen, Layton Ahac, Jack RathboneKim NousiainenLayton Ahac, Jack Rathbone
Tirs de pénalité
John Hayden, Boris Katchouk, Jacob Gaucher, Jakub Demek, Carson Bantle
Gardien
#1 : Dennis Hildeby, #2 : Nikke Kokko


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
1Bruins1010000067-11010000067-10000000000000.00061016007162041948102112821612112150.00%6350.00%08117047.65%11218361.20%10016859.52%1949920894201101
2Comets11000000871110000008710000000000021.0008122000716204344810211282810218000%10100.00%18117047.65%11218361.20%10016859.52%1949920894201101
3Firebirds1010000023-11010000023-10000000000000.000235007162042648102112829105283266.67%000%08117047.65%11218361.20%10016859.52%1949920894201101
4Minnesota1010000027-51010000027-50000000000000.00023500716204224810211281812418300.00%20100.00%08117047.65%11218361.20%10016859.52%1949920894201101
5Monsters11000000312000000000001100000031221.0003470071620422481021128179818000%4175.00%08117047.65%11218361.20%10016859.52%1949920894201101
6Senators1010000035-21010000035-20000000000000.0003470071620425481021128236102011100.00%5260.00%08117047.65%11218361.20%10016859.52%1949920894201101
7Sound Tigers10000010431000000000001000001043121.00046100071620427481021128268623300.00%3166.67%08117047.65%11218361.20%10016859.52%1949920894201101
8Stars1010000026-4000000000001010000026-400.000235007162043048102112835111623200.00%3233.33%08117047.65%11218361.20%10016859.52%1949920894201101
9Thunder1100000010371100000010370000000000021.000101323007162042848102112820187153266.67%10100.00%18117047.65%11218361.20%10016859.52%1949920894201101
10Wolf Pack11000000422000000000001100000042221.000471100716204314810211282666205240.00%4175.00%08117047.65%11218361.20%10016859.52%1949920894201101
Total10450001044440624000003132-14210001013121100.500446510900716204264481021128243967619422836.36%291065.52%28117047.65%11218361.20%10016859.52%1949920894201101
_Since Last GM Reset10450001044440624000003132-14210001013121100.500446510900716204264481021128243967619422836.36%291065.52%28117047.65%11218361.20%10016859.52%1949920894201101
_Vs Conference6320001030219312000001915432000010116580.66730447400716204152481021128133534910714642.86%23865.22%18117047.65%11218361.20%10016859.52%1949920894201101

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1010L24465109264243967619400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104500104444
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
62400003132
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
42100101312
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
22836.36%291065.52%2
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
481021128716204
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
8117047.65%11218361.20%10016859.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1949920894201101


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 - 2025-10-085Bruins7Bears6LSommaire du match
5 - 2025-10-1128Bears4Sound Tigers3WXXSommaire du match
6 - 2025-10-1238Bears4Wolf Pack2WSommaire du match
8 - 2025-10-1452Thunder3Bears10WSommaire du match
11 - 2025-10-1773Minnesota7Bears2LSommaire du match
13 - 2025-10-1989Comets7Bears8WSommaire du match
15 - 2025-10-21102Firebirds3Bears2LSommaire du match
18 - 2025-10-24125Bears3Monsters1WSommaire du match
19 - 2025-10-25135Senators5Bears3LSommaire du match
22 - 2025-10-28159Bears2Stars6LSommaire du match
25 - 2025-10-31179Sound Tigers-Bears-
26 - 2025-11-01186Bears-Crunch-
30 - 2025-11-05214Chiefs-Bears-
31 - 2025-11-06221Bears-Manchots-
33 - 2025-11-08236Bears-Thunder-
36 - 2025-11-11259Bears-Caroline-
38 - 2025-11-13273Bears-Cabaret Lady Mary Ann-
40 - 2025-11-15288Spiders-Bears-
42 - 2025-11-17304Monarchs-Bears-
44 - 2025-11-19315Oil Kings-Bears-
45 - 2025-11-20320Bears-Rocket-
47 - 2025-11-22341Thunder-Bears-
49 - 2025-11-24356Monsters-Bears-
51 - 2025-11-26367Oceanics-Bears-
53 - 2025-11-28386Marlies-Bears-
55 - 2025-11-30402Bears-Sound Tigers-
57 - 2025-12-02420Bears-Monarchs-
58 - 2025-12-03425Bears-Sags-
60 - 2025-12-05440Bears-Admirals-
62 - 2025-12-07459Monsters-Bears-
66 - 2025-12-11485Caroline-Bears-
68 - 2025-12-13503Bears-Oceanics-
71 - 2025-12-16526Bears-Minnesota-
73 - 2025-12-18539Marlies-Bears-
75 - 2025-12-20550Cougars-Bears-
76 - 2025-12-21562Bears-Cougars-
78 - 2025-12-23576Wolf Pack-Bears-
82 - 2025-12-27592Bears-Spiders-
84 - 2025-12-29607Bears-Cabaret Lady Mary Ann-
86 - 2025-12-31622Wolf Pack-Bears-
87 - 2026-01-01632Bears-Senators-
89 - 2026-01-03652Baby Hawks-Bears-
91 - 2026-01-05663Admirals-Bears-
93 - 2026-01-07677Stars-Bears-
95 - 2026-01-09694Bears-Baby Hawks-
97 - 2026-01-11713Bears-Jayhawks-
99 - 2026-01-13727Rocket-Bears-
101 - 2026-01-15742Sags-Bears-
103 - 2026-01-17761Cabaret Lady Mary Ann-Bears-
105 - 2026-01-19771Bears-Monsters-
107 - 2026-01-21792Bears-Comets-
109 - 2026-01-23806Bears-Heat-
110 - 2026-01-24818Bears-Oil Kings-
113 - 2026-01-27839Bears-Firebirds-
115 - 2026-01-29846Bears-Cougars-
117 - 2026-01-31864Caroline-Bears-
119 - 2026-02-02878Sound Tigers-Bears-
120 - 2026-02-03889Bears-Phantoms-
122 - 2026-02-05908Jayhawks-Bears-
142 - 2026-02-25911Phantoms-Bears-
144 - 2026-02-27931Las Vegas-Bears-
145 - 2026-02-28940Bears-Rocket-
148 - 2026-03-03962Roadrunners-Bears-
152 - 2026-03-07990Bears-Bruins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2026-03-091009Heat-Bears-
156 - 2026-03-111026Bears-Phantoms-
157 - 2026-03-121028Bears-Crunch-
159 - 2026-03-141044Bruins-Bears-
163 - 2026-03-181079Senators-Bears-
165 - 2026-03-201095Spiders-Bears-
167 - 2026-03-221111Monsters-Bears-
169 - 2026-03-241128Bears-Chiefs-
171 - 2026-03-261146Bears-Roadrunners-
173 - 2026-03-281166Bears-Las Vegas-
176 - 2026-03-311184Phantoms-Bears-
178 - 2026-04-021194Bears-Spiders-
180 - 2026-04-041213Crunch-Bears-
181 - 2026-04-051227Bears-Wolf Pack-
184 - 2026-04-081245Bears-Marlies-
187 - 2026-04-111263Bears-Manchots-
188 - 2026-04-121276Manchots-Bears-
190 - 2026-04-141295Bears-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance9,7343,945
Assistance PCT81.12%65.75%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-3 2280 - 75.99% 93,652$561,912$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
200,222$ 1,756,502$ 1,756,502$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,101$ 200,222$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-280,956$ 171 9,101$ 1,556,271$




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

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

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

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