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Connexion

Bruins
GP: 34 | W: 19 | L: 13 | OTL: 2 | P: 40
GF: 136 | GA: 139 | PP%: 39.53% | PK%: 66.67%
DG: Patrick Doyon | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #534 vs Oil Kings

Centre de jeu
Bruins
19-13-2, 40pts
4
FINAL
3 Minnesota
14-13-7, 35pts
Team Stats
L1SéquenceL1
10-7-0Fiche domicile7-7-5
9-6-2Fiche domicile7-6-2
4-5-1Derniers 10 matchs6-3-1
4.00Buts par match 3.85
4.09Buts contre par match 4.38
39.53%Pourcentage en avantage numérique27.42%
66.67%Pourcentage en désavantage numérique70.45%
Roadrunners
17-16-3, 37pts
9
FINAL
5 Bruins
19-13-2, 40pts
Team Stats
W3SéquenceL1
8-6-0Fiche domicile10-7-0
9-10-3Fiche domicile9-6-2
6-2-2Derniers 10 matchs4-5-1
5.03Buts par match 4.00
5.47Buts contre par match 4.09
51.22%Pourcentage en avantage numérique39.53%
58.62%Pourcentage en désavantage numérique66.67%
Oil Kings
17-13-4, 38pts
2025-12-18
Bruins
19-13-2, 40pts
Statistiques d’équipe
L1SéquenceL1
7-5-2Fiche domicile10-7-0
10-8-2Fiche visiteur9-6-2
5-3-210 derniers matchs4-5-1
4.44Buts par match 4.00
3.53Buts contre par match 4.00
46.67%Pourcentage en avantage numérique39.53%
71.43%Pourcentage en désavantage numérique66.67%
Comets
18-13-2, 38pts
2025-12-20
Bruins
19-13-2, 40pts
Statistiques d’équipe
OTL1SéquenceL1
8-6-1Fiche domicile10-7-0
10-7-1Fiche visiteur9-6-2
5-4-110 derniers matchs4-5-1
4.36Buts par match 4.00
3.64Buts contre par match 4.00
54.93%Pourcentage en avantage numérique39.53%
70.59%Pourcentage en désavantage numérique66.67%
Senators
10-20-2, 22pts
2025-12-21
Bruins
19-13-2, 40pts
Statistiques d’équipe
L1SéquenceL1
3-11-0Fiche domicile10-7-0
7-9-2Fiche visiteur9-6-2
2-7-110 derniers matchs4-5-1
3.53Buts par match 4.00
5.03Buts contre par match 4.00
35.90%Pourcentage en avantage numérique39.53%
58.54%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Thomas Bordeleau
26
Passes
Akil Thomas
38
Points
Akil Thomas
55
Plus/Moins
Scott Morrow
13
Victoires
Jesper Wallstedt
16
Pourcentage d’arrêts
Jesper Wallstedt
0.858

Statistiques d’équipe
Buts pour
136
4.00 GFG
Tirs pour
783
23.03 Avg
Pourcentage en avantage numérique
39.5%
34 GF
Début de zone offensive
31.7%
Buts contre
139
4.09 GAA
Tirs contre
870
25.59 Avg
Pourcentage en désavantage numérique
66.7%%
27 GA
Début de la zone défensive
34.6%
Informations de l'équipe

Directeur généralPatrick Doyon
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,893
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs23


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
1Akil Thomas (R)XX100.006644767273746665496161626656500506302421,300,000$
2Thomas Bordeleau (R)XXX100.00564371696371656653636058655950050620221916,667$
3Cédric Paré (R)X100.00674466647067656245605665605450050610251620,000$
4Ethan Cardwell (R)X100.00624465686364626544645862645050050610222867,500$
5Henrik Rybinski (R)X100.00634272656365636154605463605250050600231859,167$
6Luke Henman (R)X100.00554271675466646043545355605350050570242875,000$
7Jean-Luc Foudy (R)X100.00594271666063615944585257595150050570221847,500$
8William Dufour (R)X100.00574564616764636243585651605150050570221859,167$
9Jacob Melanson (R)X100.00634662626663616042545456595050050570212826,111$
10Riley Kidney (R)X100.00564367655963626047585354595050050570212836,667$
11Scott Morrow (R)X100.00594267717070616540626365665150050630212916,667$
12Declan Carlile (R)X100.006344666963666563405857686353500506202421,600,000$
13Ronnie Attard (R)X100.00624961656867656340585863625450050610251883,750$
14Donovan Sebrango (R)X100.00615060676562606040555665615150050600223952,000$
15Taige Harding (R)X100.00654062587159575540545362555150050580223880,000$
16Zack Hayes (R)X100.0060435857656160554051526155525005057N0252725,000$
17Eamon Powell (R)X100.00554066645759575540545460585150050570222620,000$
Rayé
1Nicolas DeslauriersX100.0086787270837685684462636666877705068N0332900,000$
2Reece Newkirk (R)XXX100.00574270655962595541515155575250050550231828,333$
3Sampo RantaX100.005445666265525254394747525651500505302411,075,000$
4Matthew WedmanX100.00584262586858565339484852545250050530251560,000$
5Evan BarrattX100.0047555056544946474645444949515005049N0252725,000$
6Marc Del Gaizo (R)X100.007046767471777070406662736956500506802411,550,000$
7Josh BrookX100.00554066656351505138464664555150050560251835,000$
MOYENNE D’ÉQUIPE100.0061456665656461604356556060545105059
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
1Jesper Wallstedt (R)100.0068616470686871676967595050050620211925,000$
2Mitchell Weeks (R)100.0069616364656466636566555250050590232685,000$
Rayé
1Jan Bednar (R)100.0062575765615960586159545050050550222675,000$
MOYENNE D’ÉQUIPE100.006660616665646663656456515005059
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
1Akil ThomasBruins (Bos)C/RW31173855104725445794236918.09%1271022.935101515520113553151.41%6752117001.5501203563
2Thomas BordeleauBruins (Bos)C/LW/RW312624502953550110274823.64%1768822.206111721532023562356.41%392113021.4511100621
3Ethan CardwellBruins (Bos)RW311521365195354289245316.85%1263420.47391214510001193046.67%301221011.1300001222
4Henrik RybinskiBruins (Bos)RW31111526440393258123618.97%957818.652578421016233160.53%381011000.9000000420
5Scott MorrowBruins (Bos)D317192613160282443262116.28%2471823.1747111063000054010%11935100.7200000121
6Cédric ParéBruins (Bos)C31141125060374562273022.58%1056118.103477440000214148.21%3071018000.8901000132
7Marc Del GaizoBruins (Bos)D1821618112020233410235.88%1243824.35123337011233000%0923000.8200000101
8Jacob MelansonBruins (Bos)RW31710177160463147122114.89%2263620.542131041000002054.55%11623000.5300000101
9William DufourBruins (Bos)RW317815-1680362253183113.21%1854517.6001117000020046.00%50168000.5500000002
10Luke HenmanBruins (Bos)C314711-1155273340183310.00%451216.5300003000080052.46%183512000.4300001010
11Declan CarlileBruins (Bos)D312911-9195273216101212.50%2359019.05224334011032100%21220000.3700100001
12Ronnie AttardBruins (Bos)D312810-1012032201981210.53%1658718.94235534011032000%0418000.3400000000
13Riley KidneyBruins (Bos)C16639-55513122191828.57%626216.3800000000000062.75%511012000.6900001002
14Taige HardingBruins (Bos)D31044-416015186540%1542613.7700000011016000%1119000.1900000000
15Zack HayesBruins (Bos)D31123-6120272596711.11%1239512.7700000000000046.00%50014000.1500000010
16Donovan SebrangoBruins (Bos)D31033-64015219940%1542113.590002100001000%2117000.1400000000
17Eamon PowellBruins (Bos)D31101-620101411429.09%1332310.420000100011500100.00%319000.0600000000
Statistiques d’équipe totales ou en moyenne499122198320-212025048650172124842416.92%240903118.10305585994703581637518751.07%1443158290130.7113406211916
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
1Jesper WallstedtBruins (Bos)31161120.8583.5216900099696392020.3333310004
2Mitchell WeeksBruins (Bos)72000.7916.30181001991450000031000
Statistiques d’équipe totales ou en moyenne38181120.8503.781871001187874370233131004


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
Akil Thomas (contrat à 1 volet)Bruins (Bos)C/RW242000-01-02CANYes195 Lbs6 ft0NoNoFree AgentNoYes22025-08-29FalseFalsePro & Farm1,300,000$380,000$238,238$No1,300,000$--------1,300,000$--------No--------Lien
Cédric ParéBruins (Bos)C251999-01-24CANYes212 Lbs6 ft4NoNoFree Agent2024-07-12YesYes12024-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Declan Carlile (contrat à 1 volet)Bruins (Bos)D242000-05-18USAYes190 Lbs6 ft1NoNoFree AgentNoYes22025-08-28FalseFalsePro & Farm1,600,000$680,000$426,321$No1,600,000$--------1,600,000$--------No--------Lien
Donovan Sebrango (contrat à 1 volet)Bruins (Bos)D222002-01-12CANYes194 Lbs6 ft1NoNoFree AgentNoNo32025-08-27FalseFalsePro & Farm952,000$32,000$20,062$No952,000$952,000$-------952,000$952,000$-------NoNo-------Lien
Eamon PowellBruins (Bos)D222002-05-10USAYes165 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Ethan CardwellBruins (Bos)RW222002-08-30CANYes181 Lbs5 ft11NoNoTrade2025-01-27NoNo22024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------Lien
Evan BarrattBruins (Bos)C251999-02-18USANo188 Lbs6 ft0YesNoFree AgentYesYes22025-09-14FalseFalsePro & Farm725,000$0$0$No725,000$--------725,000$--------No--------Lien
Henrik RybinskiBruins (Bos)RW232001-06-26CANYes185 Lbs6 ft2NoNoTrade2024-10-10NoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------Lien
Jacob MelansonBruins (Bos)RW212003-04-22CANYes205 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm826,111$0$0$No826,111$--------826,111$--------No--------Lien
Jan BednarBruins (Bos)G222002-08-26CZEYes201 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm675,000$0$0$No675,000$--------675,000$--------No--------Lien
Jean-Luc FoudyBruins (Bos)C222002-05-13CANYes176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm847,500$0$0$No---------------------------Lien
Jesper WallstedtBruins (Bos)G212002-11-14SWEYes214 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Josh Brook (contrat à 1 volet)Bruins (Bos)D251999-06-17CANNo190 Lbs6 ft2NoNoFree AgentYesYes12024-09-11FalseFalsePro & Farm835,000$0$0$No---------------------------Lien
Luke Henman (contrat à 1 volet)Bruins (Bos)C242000-04-29CANYes152 Lbs6 ft0NoNoFree AgentNoYes22025-08-27FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien
Marc Del GaizoBruins (Bos)D241999-10-11USAYes188 Lbs5 ft11NoNoFree AgentNoYes12024-09-14FalseFalsePro & Farm1,550,000$0$0$No---------------------------Lien
Matthew WedmanBruins (Bos)LW251999-05-25CANNo210 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Mitchell Weeks (contrat à 1 volet)Bruins (Bos)G232001-06-22CANYes185 Lbs6 ft3NoNoFree AgentNoNo22025-08-27FalseFalsePro & Farm685,000$0$0$No685,000$--------685,000$--------No--------Lien
Nicolas DeslauriersBruins (Bos)LW331991-02-22CANNo218 Lbs6 ft1YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Reece NewkirkBruins (Bos)C/LW/RW232001-02-20CANYes172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm828,333$0$0$No---------------------------Lien
Riley KidneyBruins (Bos)C212003-03-25CANYes168 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm836,667$0$0$No836,667$--------836,667$--------No--------Lien
Ronnie AttardBruins (Bos)D251999-03-20USAYes207 Lbs6 ft3NoNoTrade2024-08-29YesYes1FalseFalsePro & Farm883,750$0$0$No---------------------------Lien
Sampo Ranta (contrat à 1 volet)Bruins (Bos)LW242000-05-31FINNo194 Lbs6 ft2NoNoFree AgentNoYes12025-08-27FalseFalsePro & Farm1,075,000$155,000$97,176$No---------------------------Lien
Scott MorrowBruins (Bos)D212002-11-01USAYes194 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm916,667$0$0$No916,667$--------916,667$--------No--------Lien
Taige HardingBruins (Bos)D222002-01-03CANYes236 Lbs6 ft7NoNoProspectNoNo32025-07-10FalseFalsePro & Farm880,000$0$0$No880,000$880,000$-------880,000$880,000$-------NoNo-------Lien
Thomas BordeleauBruins (Bos)C/LW/RW222002-01-03USAYes174 Lbs5 ft10NoNoTrade2025-01-08NoNo1FalseFalsePro & Farm916,667$0$0$No---------------------------Lien
William DufourBruins (Bos)RW222002-01-28CANYes194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------Lien
Zack HayesBruins (Bos)D251999-04-24CANYes218 Lbs6 ft3YesNoFree AgentYesYes22025-09-14FalseFalsePro & Farm725,000$0$0$No725,000$--------725,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.41193 Lbs6 ft11.63894,205$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Thomas BordeleauAkil ThomasEthan Cardwell40122
2Jacob MelansonCédric ParéHenrik Rybinski30122
3Luke HenmanWilliam Dufour20122
4Akil ThomasJacob Melanson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott Morrow40122
2Declan CarlileRonnie Attard30122
3Donovan SebrangoTaige Harding20122
4Eamon PowellZack Hayes10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Thomas BordeleauAkil ThomasEthan Cardwell60122
2Jacob MelansonCédric ParéHenrik Rybinski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott Morrow60122
2Declan CarlileRonnie Attard40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Akil ThomasThomas Bordeleau60122
2Cédric ParéEthan Cardwell40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott Morrow60122
2Declan CarlileRonnie Attard40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Akil Thomas60122Scott Morrow60122
2Thomas Bordeleau40122Declan CarlileRonnie Attard40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Akil ThomasThomas Bordeleau60122
2Cédric ParéEthan Cardwell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott Morrow60122
2Declan CarlileRonnie Attard40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Thomas BordeleauAkil ThomasEthan CardwellScott Morrow
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Thomas BordeleauAkil ThomasEthan CardwellScott Morrow
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Dufour, Luke Henman, Henrik RybinskiWilliam Dufour, Luke HenmanHenrik Rybinski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Donovan Sebrango, Taige Harding, Eamon PowellDonovan SebrangoTaige Harding, Eamon Powell
Tirs de pénalité
Akil Thomas, Thomas Bordeleau, Cédric Paré, Ethan Cardwell, Henrik Rybinski
Gardien
#1 : Jesper Wallstedt, #2 : Mitchell Weeks


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
1Admirals21100000812-4110000006421010000028-620.50081422002357534521613073108582035235480.00%10550.00%024150547.72%28555051.82%28253652.61%627294722314703366
2Baby Hawks1010000026-41010000026-40000000000000.0002460023575342016130731083312411000%2150.00%024150547.72%28555051.82%28253652.61%627294722314703366
3Bears11000000761000000000001100000076121.00071320002357534211613073108193486350.00%2150.00%024150547.72%28555051.82%28253652.61%627294722314703366
4Cabaret Lady Mary Ann11000000541110000005410000000000021.00056110023575343016130731081956196233.33%3233.33%024150547.72%28555051.82%28253652.61%627294722314703366
5Caroline21100000862211000008620000000000020.5008132100235753468161307310845128349222.22%40100.00%124150547.72%28555051.82%28253652.61%627294722314703366
6Chiefs2010010047-31010000024-21000010023-110.250461010235753437161307310836251634300.00%3233.33%024150547.72%28555051.82%28253652.61%627294722314703366
7Cougars220000001385110000007431100000064241.000132639002357534471613073108492215338562.50%5260.00%024150547.72%28555051.82%28253652.61%627294722314703366
8Crunch211000001310321100000131030000000000020.50013223500235753451161307310858612247342.86%6266.67%024150547.72%28555051.82%28253652.61%627294722314703366
9Las Vegas10001000431000000000001000100043121.00046100023575342416130731082566911100.00%3166.67%024150547.72%28555051.82%28253652.61%627294722314703366
10Marlies2110000058-3110000003121010000027-520.50058130023575343716130731084412123211100.00%6266.67%024150547.72%28555051.82%28253652.61%627294722314703366
11Minnesota10001000431000000000001000100043121.00047110023575342416130731082250244250.00%000%024150547.72%28555051.82%28253652.61%627294722314703366
12Monarchs11000000431000000000001100000043121.000461000235753412161307310829841122100.00%20100.00%024150547.72%28555051.82%28253652.61%627294722314703366
13Monsters21001000853110000003121000100054141.0008132100235753450161307310860202328225.00%10100.00%024150547.72%28555051.82%28253652.61%627294722314703366
14Oceanics10100000410-60000000000010100000410-600.000461000235753421161307310848103218000%6433.33%024150547.72%28555051.82%28253652.61%627294722314703366
15Roadrunners20200000616-101010000059-41010000017-600.000610160023575344816130731086520840100.00%4175.00%124150547.72%28555051.82%28253652.61%627294722314703366
16Rocket11000000761000000000001100000076121.0007101700235753425161307310826714163133.33%7271.43%124150547.72%28555051.82%28253652.61%627294722314703366
17Sags1000000123-1000000000001000000123-110.500224002357534251613073108237616200.00%30100.00%024150547.72%28555051.82%28253652.61%627294722314703366
18Senators3210000014771100000042221100000105540.66714233700235753477161307310874194473266.67%20100.00%024150547.72%28555051.82%28253652.61%627294722314703366
19Sound Tigers312000008711010000045-12110000042220.33381321002357534581613073108591722468112.50%6183.33%024150547.72%28555051.82%28253652.61%627294722314703366
20Spiders1010000013-21010000013-20000000000000.0001121023575341916130731083820013100.00%000%024150547.72%28555051.82%28253652.61%627294722314703366
21Thunder11000000541110000005410000000000021.00057120023575341916130731082546143133.33%3166.67%024150547.72%28555051.82%28253652.61%627294722314703366
22Wolf Pack11000000422110000004220000000000021.00047110023575341816130731081556115240.00%30100.00%024150547.72%28555051.82%28253652.61%627294722314703366
Total34161303101136139-31710700000726571766031016474-10400.5881362233592023575347831613073108870265222515863439.53%812766.67%324150547.72%28555051.82%28253652.61%627294722314703366
_Since Last GM Reset34161303101136139-31710700000726571766031016474-10400.5881362233592023575347831613073108870265222515863439.53%812766.67%324150547.72%28555051.82%28253652.61%627294722314703366
_Vs Conference1999000016881-1385300000323021146000013651-15190.500681101781023575344071613073108497145139279371643.24%471568.09%124150547.72%28555051.82%28253652.61%627294722314703366
_Vs Division12240000162471571100000372512513000012522350.2086210216400235753428616130731082957569185311548.39%321165.63%124150547.72%28555051.82%28253652.61%627294722314703366

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3440L113622335978387026522251520
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3416133101136139
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1710700007265
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
176631016474
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
863439.53%812766.67%3
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
16130731082357534
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
24150547.72%28555051.82%28253652.61%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
627294722314703366


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 - 2025-10-085Bruins7Bears6WSommaire du match
3 - 2025-10-098Baby Hawks6Bruins2LSommaire du match
5 - 2025-10-1124Crunch6Bruins4LSommaire du match
7 - 2025-10-1340Thunder4Bruins5WSommaire du match
10 - 2025-10-1669Bruins4Las Vegas3WXSommaire du match
12 - 2025-10-1885Bruins5Monsters4WXSommaire du match
13 - 2025-10-1992Bruins1Roadrunners7LSommaire du match
15 - 2025-10-21103Cabaret Lady Mary Ann4Bruins5WSommaire du match
17 - 2025-10-23111Admirals4Bruins6WSommaire du match
19 - 2025-10-25128Monsters1Bruins3WSommaire du match
21 - 2025-10-27149Bruins2Senators3LSommaire du match
22 - 2025-10-28154Sound Tigers5Bruins4LSommaire du match
24 - 2025-10-30167Crunch4Bruins9WSommaire du match
26 - 2025-11-01181Caroline2Bruins5WSommaire du match
29 - 2025-11-04205Bruins4Sound Tigers1WSommaire du match
31 - 2025-11-06218Senators2Bruins4WSommaire du match
33 - 2025-11-08234Bruins2Marlies7LSommaire du match
36 - 2025-11-11256Marlies1Bruins3WSommaire du match
38 - 2025-11-13271Bruins8Senators2WSommaire du match
40 - 2025-11-15285Bruins7Rocket6WSommaire du match
42 - 2025-11-17301Caroline4Bruins3LSommaire du match
44 - 2025-11-19318Bruins2Admirals8LSommaire du match
46 - 2025-11-21334Bruins4Monarchs3WSommaire du match
48 - 2025-11-23351Bruins2Sags3LXXSommaire du match
51 - 2025-11-26365Bruins0Sound Tigers1LSommaire du match
53 - 2025-11-28376Wolf Pack2Bruins4WSommaire du match
54 - 2025-11-29394Cougars4Bruins7WSommaire du match
57 - 2025-12-02412Bruins6Cougars4WSommaire du match
59 - 2025-12-04426Chiefs4Bruins2LSommaire du match
61 - 2025-12-06443Spiders3Bruins1LSommaire du match
64 - 2025-12-09472Bruins2Chiefs3LXSommaire du match
66 - 2025-12-11489Bruins4Oceanics10LSommaire du match
69 - 2025-12-14511Bruins4Minnesota3WXSommaire du match
71 - 2025-12-16519Roadrunners9Bruins5LSommaire du match
73 - 2025-12-18534Oil Kings-Bruins-
75 - 2025-12-20555Comets-Bruins-
76 - 2025-12-21564Senators-Bruins-
78 - 2025-12-23577Rocket-Bruins-
82 - 2025-12-27589Bruins-Crunch-
84 - 2025-12-29613Bruins-Heat-
86 - 2025-12-31631Bruins-Oil Kings-
89 - 2026-01-03656Bruins-Comets-
92 - 2026-01-06676Bruins-Firebirds-
94 - 2026-01-08682Heat-Bruins-
96 - 2026-01-10697Wolf Pack-Bruins-
97 - 2026-01-11712Manchots-Bruins-
99 - 2026-01-13729Cougars-Bruins-
101 - 2026-01-15739Firebirds-Bruins-
103 - 2026-01-17763Bruins-Baby Hawks-
106 - 2026-01-20783Bruins-Stars-
108 - 2026-01-22794Las Vegas-Bruins-
110 - 2026-01-24812Rocket-Bruins-
112 - 2026-01-26826Bruins-Wolf Pack-
113 - 2026-01-27830Jayhawks-Bruins-
115 - 2026-01-29843Phantoms-Bruins-
118 - 2026-02-01873Bruins-Thunder-
121 - 2026-02-04893Bruins-Cabaret Lady Mary Ann-
143 - 2026-02-26918Monsters-Bruins-
145 - 2026-02-28935Bruins-Phantoms-
148 - 2026-03-03959Manchots-Bruins-
150 - 2026-03-05979Bruins-Jayhawks-
152 - 2026-03-07990Bears-Bruins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-03-081002Bruins-Manchots-
155 - 2026-03-101012Monarchs-Bruins-
157 - 2026-03-121027Sags-Bruins-
159 - 2026-03-141044Bruins-Bears-
161 - 2026-03-161064Bruins-Spiders-
162 - 2026-03-171069Bruins-Rocket-
164 - 2026-03-191083Oceanics-Bruins-
166 - 2026-03-211108Bruins-Cougars-
169 - 2026-03-241120Marlies-Bruins-
170 - 2026-03-251135Bruins-Crunch-
173 - 2026-03-281155Minnesota-Bruins-
174 - 2026-03-291170Bruins-Monsters-
176 - 2026-03-311178Stars-Bruins-
178 - 2026-04-021193Bruins-Cabaret Lady Mary Ann-
180 - 2026-04-041210Bruins-Thunder-
181 - 2026-04-051224Bruins-Phantoms-
183 - 2026-04-071237Bruins-Caroline-
187 - 2026-04-111261Thunder-Bruins-
188 - 2026-04-121278Bruins-Monsters-
190 - 2026-04-141292Spiders-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance32,88716,291
Assistance PCT96.73%95.83%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-14 2893 - 96.43% 98,500$1,674,492$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
594,056$ 1,682,154$ 1,682,154$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,716$ 594,056$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,363,989$ 121 8,716$ 1,054,636$




Bruins 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

Bruins 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

Bruins 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

Bruins 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

Bruins 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