Bears
GP: 62 | W: 29 | L: 33 | OTL: 0 | P: 58
GF: 216 | GA: 239 | PP%: 28.81% | PK%: 71.69%
DG: Jean-François Tellier | Morale : 75 | Moyenne d’équipe : 61
Prochain matchs #962 vs Roadrunners
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Centre de jeu
Silver Knights
4-54-2, 10pts
3
FINAL
7 Bears
29-33-0, 58pts
Team Stats
L3StreakW5
1-26-2Home Record12-20-0
3-28-0Away Record17-13-0
0-9-1Last 10 Games8-2-0
3.18Buts par match 3.48
6.68Buts contre par match 3.85
19.33%Pourcentage en avantage numérique28.81%
71.85%Pourcentage en désavantage numérique71.69%
Bears
29-33-0, 58pts
8
FINAL
4 Rocket
23-31-5, 51pts
Team Stats
W5StreakL6
12-20-0Home Record12-15-3
17-13-0Away Record11-16-2
8-2-0Last 10 Games2-7-1
3.48Buts par match 3.75
3.85Buts contre par match 4.51
28.81%Pourcentage en avantage numérique22.67%
71.69%Pourcentage en désavantage numérique72.13%
Roadrunners
35-20-5, 75pts
2026-03-03
Bears
29-33-0, 58pts
Statistiques d’équipe
L1SéquenceW5
21-8-1Fiche domicile12-20-0
14-12-4Fiche visiteur17-13-0
6-3-110 derniers matchs8-2-0
3.92Buts par match 3.48
3.10Buts contre par match 3.85
19.78%Pourcentage en avantage numérique28.81%
77.53%Pourcentage en désavantage numérique71.69%
Bears
29-33-0, 58pts
2026-03-07
Bruins
44-13-2, 90pts
Statistiques d’équipe
W5SéquenceW1
12-20-0Fiche domicile24-6-1
17-13-0Fiche visiteur20-7-1
8-2-010 derniers matchs7-2-1
3.48Buts par match 4.44
3.85Buts contre par match 3.10
28.81%Pourcentage en avantage numérique25.87%
71.69%Pourcentage en désavantage numérique84.26%
Wranglers
24-30-5, 53pts
2026-03-09
Bears
29-33-0, 58pts
Statistiques d’équipe
W1SéquenceW5
11-14-4Fiche domicile12-20-0
13-16-1Fiche visiteur17-13-0
2-8-010 derniers matchs8-2-0
3.34Buts par match 3.48
3.90Buts contre par match 3.85
19.08%Pourcentage en avantage numérique28.81%
78.28%Pourcentage en désavantage numérique71.69%
Meneurs d'équipe
Luke CavallinVictoires
Luke Cavallin
19
Jeremy BrodeurPourcentage d’arrêts
Jeremy Brodeur
0.909

Statistiques d’équipe
Buts pour
216
3.48 GFG
Tirs pour
2258
36.42 Avg
Pourcentage en avantage numérique
28.8%
51 GF
Début de zone offensive
40.7%
Buts contre
239
3.85 GAA
Tirs contre
2332
37.61 Avg
Pourcentage en désavantage numérique
71.7%
47 GA
Début de la zone défensive
40.8%
Information d’équipe

Directeur généralJean-François Tellier
EntraîneurJoe Sacco
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineRiley Bezeau
Assistant #1Gustav Nyquist
Assistant #2Trevor Carrick


Informations de l’aréna

Capacité3,000
Assistance1,812
Billets de saison750


Information formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 80
Espoirs40


Historique d'équipe

Saison actuelle29-33-0 (58PTS)
Historique74-62-16 (0.487%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)3-4
Stanley Cup0


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 moyen
1Maxim Tsyplakov (R)0X100.00724084708583746758696261636668075660273950,000$
2Vasily Podkolzin (R)0X100.008040856875878866616462636765670756502422,000,000$
3Egor Sokolov (R)0XX100.00794081648885876358606261636567075640251750,000$
4Nikita Chibrikov (R)0X100.00703681676488796461636662726264075640222950,000$
5Nikita Nesterenko (R)0X100.00723983637978876266606461636566075640242950,000$
6Fabian Lysell (R)0X100.00603880676983826462655960676364075630221950,000$
7Marcus Sylvegard (R)0X100.00663983647287656358606162596668075620263950,000$
8Ryan McAllister (R)0X100.00583689616882696272636261606466075620232950,000$
9Nathan Smith (R)0X100.00613980587075825666595755566769075600262750,000$
10John Ludvig (R)0X100.00726271647977746330626061526567075630251950,000$
11Hardy Haman Aktell (R)0X100.00734081638375766230645258486769075620272950,000$
12Matt Kiersted (R)0X100.00673875637179836130645662496769075620272950,000$
13Maksymilian Szuber (R)0X100.00724077608182865830625559486365075610232950,000$
14Lucas Johansen (R)0X100.00673982607666725930615358476870075610271850,000$
15Nikita Novikov (R)0X100.00744177588364855530575456466264075600222950,000$
16Hunter Skinner (R)0X100.00684462577770835630555458466466075590241750,000$
17Leo Loof (R)0X100.00664175547661835330575055456365075580232950,000$
18Ole Bjorgvik-Holm (R)0X100.00694170557864685430525356456365075580233950,000$
Rayé
1Aatu Jamsen (R)0X100.00583787566865665552535854576264075580223950,000$
2Aleksandr Kisakov (R)0X100.00603786576080675655545853576365075580221950,000$
3Nikolai Knyzhov (R)0X100.00794279588867745530575661476769075610271950,000$
4Aleksi Heimosalmi (R)0X100.00623885587166705630555453466264075580223950,000$
MOYENNE D’ÉQUIPE100.0068408061767677604560585955656607561
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 moyen
1Jeremy Brodeur100.0071726771706971706971706983075630283750,000$
2Luke Cavallin100.0066736980656466656466656571075600242950,000$
Rayé
1Jesper Vikman100.0066757179656466656466656369075600232950,000$
MOYENNE D’ÉQUIPE100.006873697767666867666867667407561
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Sacco80777871847864USA563750,000$


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
1Nikita ChibrikovBears (WSH)RW61345084-17180120202387992488.79%28159126.09911205513400021263250.09%109200221.0600000594
2Egor SokolovBears (WSH)LW/RW54393574-175601951212867616713.64%24146327.11118194711611281068152.69%16700031.0100000752
3Ryan McAllisterBears (WSH)C57312960-480361782496616712.45%25129522.738715481180001566353.10%135600110.9300000424
4Matt KierstedBears (WSH)D61163551-41808992133368712.03%86140022.9588164512401131132032.84%6700000.7301000023
5Nikita NovikovBears (WSH)D61152742-430017460123307712.20%49137322.51371029960000292033.33%28500000.6100000213
6Hardy Haman AktellBears (WSH)D6183341-42951108610242767.84%90136622.39214164714710121231028.00%2500100.6000001122
7Nikita NesterenkoBears (WSH)C23925341812026659125659.89%247820.8233616520000260156.33%64800011.4211000131
8John LudvigBears (WSH)D4372532-25515114668736538.05%7398822.9926830860110940266.67%300010.6500102113
9Maksymilian SzuberBears (WSH)D6152732-94601235910330614.85%86126720.791131437990000871026.67%1500000.5000000021
10Vasily PodkolzinBears (WSH)RW139152414140454281265411.11%534426.4604416310112291151.33%22600011.4001000302
11Nikolai KnyzhovBears (WSH)D5561723-92201164456182910.71%4190116.402248250001400134.78%6900000.5100000101
12Marcus SylvegardBears (WSH)RW35101323-9805161147441206.80%969719.92011730000181051.90%7900000.6600000100
13Lucas JohansenBears (WSH)D6141923-224066597623565.26%42106517.4700024000031042.86%2800000.4300000001
14Fabian LysellBears (WSH)RW2861319-420225110827655.56%451218.310442310000291058.90%7300000.7400000001
15Nathan SmithBears (WSH)C496915-171554611210124595.94%1494119.22101290000110053.45%101400000.3200100010
16Hunter SkinnerBears (WSH)D33549-6521061204392111.63%1544313.4300001000001047.83%2300000.4100010000
17Maxim TsyplakovBears (WSH)RW3022-10039142140.00%16321.0601113000070064.29%2800000.6300000000
18Leo LoofBears (WSH)D19011200313100.00%2673.56000120000100100.00%500000.3000000000
19Aleksandr KisakovBears (WSH)RW1000-200010120.00%11515.0500000000000039.13%2300000.0000000000
20Ole Bjorgvik-HolmBears (WSH)D5000000000000.00%271.410000000006000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne784210379589-973893514001329219061514219.59%5991628520.775089139393111724620904281151.11%522600490.7213213262828
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
1Luke CavallinBears (WSH)49192700.8953.9327022117716780220.00004815221
2Jeremy BrodeurBears (WSH)139400.9093.3974300424610001.0003130000
Statistiques d’équipe totales ou en moyenne62283100.8983.8134462121921390221.00036115221


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Aatu JamsenBears (WSH)RW222003-07-22Yes154 Lbs6 ft1NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Aleksandr KisakovBears (WSH)RW222002-11-01Yes150 Lbs5 ft10NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Aleksi HeimosalmiBears (WSH)D222003-05-08Yes181 Lbs6 ft0NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Egor SokolovBears (WSH)LW/RW252000-06-07Yes222 Lbs6 ft3NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Fabian LysellBears (WSH)RW222003-01-19Yes181 Lbs5 ft11NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Hardy Haman AktellBears (WSH)D271998-07-04Yes198 Lbs6 ft3NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Hunter SkinnerBears (WSH)D242001-04-29Yes182 Lbs6 ft2NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Jeremy BrodeurBears (WSH)G281996-10-29No185 Lbs6 ft0NoNoNo3Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$750,000$Lien / Lien NHL
Jesper VikmanBears (WSH)G232002-03-11No179 Lbs6 ft3NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
John LudvigBears (WSH)D252000-08-02Yes210 Lbs6 ft1NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Leo LoofBears (WSH)D232002-04-25Yes176 Lbs6 ft2NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Lucas JohansenBears (WSH)D271997-11-16Yes176 Lbs6 ft2NoNoNo1Pro & Farm850,000$199,219$850,000$199,219$0$0$NoLien / Lien NHL
Luke CavallinBears (WSH)G242001-04-29No196 Lbs6 ft2NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Maksymilian SzuberBears (WSH)D232002-08-25Yes190 Lbs6 ft3NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Marcus SylvegardBears (WSH)RW261999-05-04Yes190 Lbs6 ft0NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Matt KierstedBears (WSH)D271998-04-14Yes182 Lbs6 ft0NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Maxim TsyplakovBears (WSH)RW271998-09-19Yes210 Lbs6 ft3NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Nathan SmithBears (WSH)C261998-10-19Yes177 Lbs6 ft0NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Nikita ChibrikovBears (WSH)RW222003-02-16Yes170 Lbs5 ft10NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Nikita NesterenkoBears (WSH)C242001-09-10Yes195 Lbs6 ft2NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Nikita NovikovBears (WSH)D222003-07-25Yes196 Lbs6 ft3NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Nikolai KnyzhovBears (WSH)D271998-03-20Yes222 Lbs6 ft3NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Ole Bjorgvik-HolmBears (WSH)D232002-05-23Yes190 Lbs6 ft2NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Ryan McAllisterBears (WSH)C232001-12-19Yes183 Lbs5 ft10NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Vasily PodkolzinBears (WSH)RW242001-06-24Yes190 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$468,750$2,000,000$468,750$0$0$No2,000,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.32187 Lbs6 ft11.96956,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikita NesterenkoVasily Podkolzin40122
2Marcus SylvegardRyan McAllisterNikita Chibrikov30122
3Nikita NovikovFabian Lysell20122
4Vasily PodkolzinMarcus Sylvegard10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John LudvigMatt Kiersted40122
2Hardy Haman Aktell30122
3Maksymilian SzuberLucas Johansen20122
4Nikita NovikovHunter Skinner10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikita NesterenkoVasily Podkolzin60122
2Marcus SylvegardRyan McAllisterNikita Chibrikov40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John LudvigMatt Kiersted60122
2Hardy Haman Aktell40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vasily Podkolzin60122
2Nikita NesterenkoNikita Chibrikov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John LudvigMatt Kiersted60122
2Hardy Haman Aktell40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Vasily Podkolzin60122John LudvigMatt Kiersted60122
240122Hardy Haman Aktell40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vasily Podkolzin60122
2Nikita NesterenkoNikita Chibrikov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1John LudvigMatt Kiersted60122
2Hardy Haman Aktell40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikita NesterenkoVasily PodkolzinJohn LudvigMatt Kiersted
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikita NesterenkoVasily PodkolzinJohn LudvigMatt Kiersted
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Fabian Lysell, , Ryan McAllisterFabian Lysell, Ryan McAllister
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Leo Loof, , Maksymilian SzuberLeo Loof, Maksymilian Szuber
Tirs de pénalité
Vasily Podkolzin, , Nikita Nesterenko, Nikita Chibrikov, Fabian Lysell
Gardien
#1 : Jeremy Brodeur, #2 : Luke Cavallin
Lignes d’attaque personnalisées en prolongation
Vasily Podkolzin, , Nikita Nesterenko, Nikita Chibrikov, Fabian Lysell, Ryan McAllister, Ryan McAllister, Marcus Sylvegard, , ,
Lignes de défense personnalisées en prolongation
John Ludvig, Matt Kiersted, Hardy Haman Aktell, , Maksymilian Szuber


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
1Admirals21100000660110000006151010000005-520.50061117007777593617527227798601713444125.00%4175.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
2Americans1010000009-9000000000001010000009-900.0000000077775931775272277985691223000.00%6266.67%01144229349.89%1108229948.19%558104553.40%151710641423434786400
3Barracuda2020000036-31010000023-11010000013-200.0003471077775935775272277988616102910220.00%50100.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
4Bruins1010000034-11010000034-10000000000000.00036900777759330752722779842136193133.33%30100.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
5Checkers33000000191181100000063322000000138561.0001934530077775931537527227798932468011327.27%3166.67%01144229349.89%1108229948.19%558104553.40%151710641423434786400
6Comets20200000510-51010000024-21010000036-300.000581300777759368752722779899232441200.00%12558.33%11144229349.89%1108229948.19%558104553.40%151710641423434786400
7Condors2110000047-31010000015-41100000032120.5004610007777593687527227798762122516350.00%11372.73%01144229349.89%1108229948.19%558104553.40%151710641423434786400
8Crunch312000001012-2211000004311010000069-320.333101929017777593947527227798892737638562.50%11281.82%01144229349.89%1108229948.19%558104553.40%151710641423434786400
9Devils2110000078-11010000046-21100000032120.50071320107777593767527227798922018475120.00%7357.14%01144229349.89%1108229948.19%558104553.40%151710641423434786400
10Eagles11000000431000000000001100000043121.000481200777759328752722779835134252150.00%20100.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
11Firebirds211000007701010000023-11100000054120.5007132000777759379752722779880171453300.00%7357.14%01144229349.89%1108229948.19%558104553.40%151710641423434786400
12Griffins330000002311121100000082622000000159661.00023416400777759316575272277981143012748337.50%6266.67%01144229349.89%1108229948.19%558104553.40%151710641423434786400
13Gulls20200000511-61010000025-31010000036-300.0005813007777593627527227798782212393133.33%6433.33%01144229349.89%1108229948.19%558104553.40%151710641423434786400
14IceHogs211000006601010000024-21100000042220.5006915007777593567527227798722310409333.33%5260.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
15Marlies21100000660211000006600000000000020.5006111700777759356752722779881146435120.00%3166.67%01144229349.89%1108229948.19%558104553.40%151710641423434786400
16Monsters302010001016-620200000411-71000100065120.3331019290077775938775272277981173632698225.00%13192.31%01144229349.89%1108229948.19%558104553.40%151710641423434786400
17Moose20200000410-61010000023-11010000027-500.00048120077775938375272277985015444400.00%220.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
18Penguins1010000034-1000000000001010000034-100.000358007777593307527227798411112244250.00%6266.67%01144229349.89%1108229948.19%558104553.40%151710641423434786400
19Phantoms21000010642100000103211100000032141.0006101600777759377752722779861252507114.29%10100.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
20Reign21100000862110000006331010000023-120.500816240077775937675272277987413234214642.86%5180.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
21Rocket3210000013112110000004312110000098140.6671324370077775931447527227798116381384200.00%4175.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
22Senators2010100034-11010000002-21000100032120.5003580077775937375272277987429134510220.00%4175.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
23Silver Knights11000000734110000007340000000000021.0007132000777759374752722779841126384125.00%3166.67%01144229349.89%1108229948.19%558104553.40%151710641423434786400
24Sound Tigers40400000518-1320200000210-82020000038-500.00051015007777593132752722779815843258711218.18%9188.89%01144229349.89%1108229948.19%558104553.40%151710641423434786400
25Stars2110000067-11010000014-31100000053220.50061218007777593567527227798701916368337.50%8187.50%01144229349.89%1108229948.19%558104553.40%151710641423434786400
26Thunderbirds11000000752110000007520000000000021.00071320007777593397527227798501319253266.67%5260.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
27Wild220000001239110000009181100000032141.00012233500777759397752722779856124497228.57%10100.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
28Wolf Pack31200000914-520200000411-71100000053220.33391524007777593112752722779811037475800.00%2150.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
29Wolves312000001114-32110000089-11010000035-220.3331121320077775937075272277981142624696233.33%10370.00%01144229349.89%1108229948.19%558104553.40%151710641423434786400
30Wranglers11000000431000000000001100000043121.000461000777759338752722779847174392150.00%2150.00%11144229349.89%1108229948.19%558104553.40%151710641423434786400
Total62263302010216239-2332112000010105116-1130151302000111123-12580.46821639160721777759322587527227798233263540714471775128.81%1664771.69%21144229349.89%1108229948.19%558104553.40%151710641423434786400
_Since Last GM Reset62263302010216239-2332112000010105116-1130151302000111123-12580.46821639160721777759322587527227798233263540714471775128.81%1664771.69%21144229349.89%1108229948.19%558104553.40%151710641423434786400
_Vs Conference36141902010128146-1819612000105672-161787020007274-2340.472128233361117777593131675272277981358382222852962526.04%882176.14%01144229349.89%1108229948.19%558104553.40%151710641423434786400
_Vs Division18412010105178-271018000102549-24834010002629-3120.33351931441077775935847527227798693198117421491020.41%481177.08%01144229349.89%1108229948.19%558104553.40%151710641423434786400

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6258W521639160722582332635407144721
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6226332010216239
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3211200010105116
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3015132000111123
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1775128.81%1664771.69%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
75272277987777593
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
1144229349.89%1108229948.19%558104553.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
151710641423434786400


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 - 2025-10-085Bruins4Bears3BLSommaire du match
5 - 2025-10-1128Bears3Sound Tigers4ALSommaire du match
6 - 2025-10-1238Bears5Wolf Pack3AWSommaire du match
8 - 2025-10-1452Crunch0Bears4BWSommaire du match
11 - 2025-10-1773Wild1Bears9BWSommaire du match
13 - 2025-10-1989Comets4Bears2BLSommaire du match
15 - 2025-10-21102Firebirds3Bears2BLSommaire du match
18 - 2025-10-24124Bears6Monsters5AWXSommaire du match
19 - 2025-10-25135Senators2Bears0BLSommaire du match
22 - 2025-10-28159Bears5Stars3AWSommaire du match
25 - 2025-10-31179Sound Tigers6Bears1BLSommaire du match
26 - 2025-11-01186Bears0Americans9ALSommaire du match
30 - 2025-11-05214Thunderbirds5Bears7BWSommaire du match
31 - 2025-11-06222Bears3Penguins4ALSommaire du match
33 - 2025-11-08236Bears6Crunch9ALSommaire du match
36 - 2025-11-11259Bears3Wolves5ALSommaire du match
38 - 2025-11-13273Bears6Checkers4AWSommaire du match
40 - 2025-11-15288Devils6Bears4BLSommaire du match
42 - 2025-11-17304Reign3Bears6BWSommaire du match
44 - 2025-11-19315Condors5Bears1BLSommaire du match
45 - 2025-11-20320Bears1Rocket4ALSommaire du match
47 - 2025-11-22341Crunch3Bears0BLSommaire du match
49 - 2025-11-24356Monsters6Bears2BLSommaire du match
51 - 2025-11-26367Moose3Bears2BLSommaire du match
53 - 2025-11-28386Marlies2Bears3BWSommaire du match
55 - 2025-11-30402Bears0Sound Tigers4ALSommaire du match
57 - 2025-12-02420Bears2Reign3ALSommaire du match
58 - 2025-12-03425Bears1Barracuda3ALSommaire du match
60 - 2025-12-05440Bears3Gulls6ALSommaire du match
62 - 2025-12-07459Monsters5Bears2BLSommaire du match
66 - 2025-12-11485Wolves5Bears6BWSommaire du match
68 - 2025-12-13503Bears2Moose7ALSommaire du match
71 - 2025-12-16526Bears3Wild2AWSommaire du match
73 - 2025-12-18538Marlies4Bears3BLSommaire du match
75 - 2025-12-20550Griffins2Bears8BWSommaire du match
76 - 2025-12-21562Bears6Griffins4AWSommaire du match
78 - 2025-12-23577Wolf Pack3Bears1BLSommaire du match
82 - 2025-12-27592Bears3Devils2AWSommaire du match
84 - 2025-12-29607Bears7Checkers4AWSommaire du match
86 - 2025-12-31622Wolf Pack8Bears3BLSommaire du match
87 - 2026-01-01632Bears3Senators2AWXSommaire du match
89 - 2026-01-03652IceHogs4Bears2BLSommaire du match
91 - 2026-01-05663Gulls5Bears2BLSommaire du match
93 - 2026-01-07677Stars4Bears1BLSommaire du match
95 - 2026-01-09694Bears4IceHogs2AWSommaire du match
97 - 2026-01-11713Bears0Admirals5ALSommaire du match
99 - 2026-01-13727Rocket3Bears4BWSommaire du match
101 - 2026-01-15742Barracuda3Bears2BLSommaire du match
103 - 2026-01-17761Checkers3Bears6BWSommaire du match
105 - 2026-01-19771Bears4Eagles3AWSommaire du match
107 - 2026-01-21793Bears3Comets6ALSommaire du match
109 - 2026-01-23806Bears4Wranglers3AWSommaire du match
110 - 2026-01-24818Bears3Condors2AWSommaire du match
113 - 2026-01-27839Bears5Firebirds4AWSommaire du match
115 - 2026-01-29851Bears9Griffins5AWSommaire du match
117 - 2026-01-31864Wolves4Bears2BLSommaire du match
119 - 2026-02-02878Sound Tigers4Bears1BLSommaire du match
120 - 2026-02-03887Bears3Phantoms2AWSommaire du match
122 - 2026-02-05907Admirals1Bears6BWSommaire du match
142 - 2026-02-25911Phantoms2Bears3BWXXSommaire du match
144 - 2026-02-27931Silver Knights3Bears7BWSommaire du match
145 - 2026-02-28941Bears8Rocket4AWSommaire du match
148 - 2026-03-03962Roadrunners-Bears-
152 - 2026-03-07990Bears-Bruins-
154 - 2026-03-091009Wranglers-Bears-
156 - 2026-03-111026Bears-Phantoms-
157 - 2026-03-121028Bears-Americans-
159 - 2026-03-141044Bruins-Bears-
163 - 2026-03-181079Senators-Bears-
165 - 2026-03-201095Devils-Bears-
167 - 2026-03-221111Eagles-Bears-
169 - 2026-03-241128Bears-Thunderbirds-
171 - 2026-03-261146Bears-Roadrunners-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281166Bears-Silver Knights-
176 - 2026-03-311184Phantoms-Bears-
178 - 2026-04-021197Bears-Devils-
180 - 2026-04-041213Americans-Bears-
181 - 2026-04-051227Bears-Wolf Pack-
184 - 2026-04-081245Bears-Marlies-
187 - 2026-04-111263Bears-Penguins-
188 - 2026-04-121276Penguins-Bears-
190 - 2026-04-141295Bears-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5025
Assistance35,51222,471
Assistance PCT55.49%70.22%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-22 1812 - 60.40% 91,304$2,921,720$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,336,428$ 2,390,000$ 2,390,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,755,606$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,008,682$ 45 16,354$ 735,930$




Bears Leaders statistiques (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
1Egor Sokolov1366677143-1112448131161710.70%46357526.29161935993141413448.69%50.8017
2Nikita Chibrikov1435672128-28622903046229.00%41284219.881214267701155348.26%20.9000
3Vasily Podkolzin954660106134220316836612.57%25210822.20924336402249250.33%11.0118
4Hardy Haman Aktell142146377-9972991692286.14%213304821.476263211021341028.00%00.5100
5Mike Hardman82284270-12815019321413.08%16164920.11913224310135146.57%00.8501

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
1Ivan Prosvetov79422880.8953.3845596225724580200.66721
2Luke Cavallin49192700.8953.9327022117716780220.0000
3Jeremy Brodeur139400.9093.3974300424610001.0003
4Ivan Fedotov103100.9282.6141440182500200.0000

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
2024823429093252892809411913052111581411741151604114131139-8982895288170295958812289194195594573270879157720072716624.35%2636276.43%41520304549.92%1429297648.02%659135148.78%1990138119156051070535
202562263302010216239-2332112000010105116-1130151302000111123-125821639160721777759322587527227798233263540714471775128.81%1664771.69%21144229349.89%1108229948.19%558104553.40%151710641423434786400
Total Saison régulière1446062011335505519-1473303305221263257671302906114242262-201565059191424231721721471551491693167717248150401426984345444811726.12%42910974.59%62664533849.91%2537527548.09%1217239650.79%35082446333910401857936
Séries éliminatoires
202473400000272703210000014131413000001314-162745720013491280657211330232544916338513.16%21480.95%115330949.51%11724747.37%5511946.22%190133174569447
Total Séries éliminatoires73400000272703210000014131413000001314-162745720013491280657211330232544916338513.16%21480.95%115330949.51%11724747.37%5511946.22%190133174569447

Bears Leaders statistiques (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
1Nikolai Knyzhov7279261781711.76%719628.01123110000100.00%00.9200
2Pavel Mintyukov7268308131910.53%1319628.03011100000000.00%00.8200
3Pontus Holmberg735842621378.11%116623.831231100001042.86%00.9600
4Egor Sokolov74485625152913.79%317324.80022810120127.27%00.9200
5Fabian Lysell723520031216.67%0547.82101400000037.25%01.8300

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
1Ivan Prosvetov73400.8843.5445800272320000.0000