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Bruins
GP: 57 | W: 35 | L: 19 | OTL: 3 | P: 73
GF: 208 | GA: 189 | PP%: 22.75% | PK%: 77.64%
DG: Jonathan Brock | Morale : 60 | Moyenne d’équipe : 62
Prochains matchs #918 vs Monsters

Centre de jeu
Bruins
35-19-3, 73pts
5
2 Syracruse Crunch
27-23-5, 59pts
Team Stats
W2SéquenceW2
18-10-2Fiche domicile12-11-4
17-9-1Fiche domicile15-12-1
7-3-0Derniers 10 matchs6-3-1
3.65Buts par match 3.49
3.32Buts contre par match 3.33
22.75%Pourcentage en avantage numérique21.08%
77.64%Pourcentage en désavantage numérique74.19%
Bruins
35-19-3, 73pts
5
3 Charlotte Checkers
16-35-6, 38pts
Team Stats
W2SéquenceL2
18-10-2Fiche domicile10-19-2
17-9-1Fiche domicile6-16-4
7-3-0Derniers 10 matchs2-7-1
3.65Buts par match 2.93
3.32Buts contre par match 4.30
22.75%Pourcentage en avantage numérique19.90%
77.64%Pourcentage en désavantage numérique77.49%
Monsters
20-33-4, 44pts
2026-02-26
Bruins
35-19-3, 73pts
Statistiques d’équipe
L1SéquenceW2
9-18-1Fiche domicile18-10-2
11-15-3Fiche visiteur17-9-1
2-8-010 derniers matchs7-3-0
2.98Buts par match 3.65
4.18Buts contre par match 3.65
16.15%Pourcentage en avantage numérique22.75%
68.10%Pourcentage en désavantage numérique77.64%
Bruins
35-19-3, 73pts
2026-02-28
Phantoms
27-26-3, 57pts
Statistiques d’équipe
W2SéquenceOTL1
18-10-2Fiche domicile14-12-3
17-9-1Fiche visiteur13-14-0
7-3-010 derniers matchs6-2-2
3.65Buts par match 3.71
3.32Buts contre par match 3.71
22.75%Pourcentage en avantage numérique23.77%
77.64%Pourcentage en désavantage numérique73.38%
Penguins
30-20-6, 66pts
2026-03-03
Bruins
35-19-3, 73pts
Statistiques d’équipe
W1SéquenceW2
18-9-1Fiche domicile18-10-2
12-11-5Fiche visiteur17-9-1
4-5-110 derniers matchs7-3-0
3.50Buts par match 3.65
3.25Buts contre par match 3.65
19.67%Pourcentage en avantage numérique22.75%
81.59%Pourcentage en désavantage numérique77.64%
Meneurs d'équipe
Cole KoepkeButs
Cole Koepke
29
James HamblinPasses
James Hamblin
41
James HamblinPoints
James Hamblin
63
Nikolas BrouillardPlus/Moins
Nikolas Brouillard
18
Ivan FedotovVictoires
Ivan Fedotov
24
Ivan FedotovPourcentage d’arrêts
Ivan Fedotov
0.907

Statistiques d’équipe
Buts pour
208
3.65 GFG
Tirs pour
2076
36.42 Avg
Pourcentage en avantage numérique
22.7%
48 GF
Début de zone offensive
42.2%
Buts contre
189
3.32 GAA
Tirs contre
1902
33.37 Avg
Pourcentage en désavantage numérique
77.6%%
53 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralJonathan Brock
EntraîneurSteve Spott
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,864
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 55
Espoirs7


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
1Cole Koepke0XX100.007939936579888564616264636567690756502831,000,000$
2Marc Gatcomb0X100.007939866479778562656063616466670746402731,000,000$
3Reid Schaefer0X100.008654746095807561596260646163640716402211,000,000$
4Cameron Hebig0X100.006038836369858464676362616468700746302931,000,000$
5James Hamblin0XX100.005936906667827764676162606567680746302731,000,000$
6Patrick Giles0X100.008041825793768459555662575965670746202631,000,000$
7Sean Farrell0X100.005535946564808163696260616564660746202431,000,000$
8Ben McCartney0X100.006242656071808159626063575864660746102531,000,000$
9Kaleb Lawrence (R)0X100.009069615699676355585263635762640776102311,000,000$
10Kyle McDonald0XX100.008242845691737955565361585663650746102431,000,000$
11Emilio Pettersen0XX100.005737845966788658686060555765670746002631,000,000$
12Lian Bichsel0X100.00785665669982756530646367526165075650221925,000$
13Kale Clague0X100.006238766572798163306659584967690756302831,000,000$
14Nikolas Brouillard0X100.007052656064718659306459564870720716103131,000,000$
15Brandon Hickey0X100.007238915681667155305358574569710746003031,000,000$
Rayé
1Spencer Smallman0X100.006841745977758158636061566269710196202931,000,000$
2Brendan Warren0X100.006438855873717756535561545868700196002931,000,000$
3Jagger Joshua0X100.007249575881697757555658585366680196002731,000,000$
4Braden Hache (R)0X100.007751505686646554305759594762640195902311,000,000$
5Drew Bavaro0X100.007440855683666755305455574565670205902631,000,000$
6Marek Alscher (R)0X100.007641785685646955305457584561630195902211,000,000$
7Joe Fleming0X100.007146505380646651305254554562640195702311,000,000$
MOYENNE D’ÉQUIPE100.0072447660807477595058605955656705761
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
1Ivan Fedotov0100.00767771987574767574767568830686602913,275,000$
2Artur Akhtyamov0100.00727672747170727170727164710736402431,000,000$
Rayé
1Dylan Wells0100.00697672786867696867696868770206202831,000,000$
2Vyacheslav Peksa (R)0100.00607066805958605958605963690205702431,000,000$
MOYENNE D’ÉQUIPE100.006975708368676968676968667504562
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Spott62747872857962CAN5732,500,000$


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
1James HamblinBruins (BOS)C/LW57224163940142372045915510.78%11137324.10717245317800062431251.91%212500000.9200000163
2Cole KoepkeBruins (BOS)LW/RW56293261131601451122386919712.18%22136124.31715225617200072376148.80%12500010.9001000933
3Sean FarrellBruins (BOS)C57202848150031401844511510.87%14107918.93210123316610121284050.18%138300000.8900000401
4Kale ClagueBruins (BOS)D57637431743574688834906.82%58113019.83381150178000017010%000000.7600001332
5Marc GatcombBruins (BOS)RW571627431216012898173511419.25%9105618.536142038177000001147.31%9300100.8100000138
6Reid SchaeferBruins (BOS)LW572023431199518978201531219.95%15104118.2855103916501141095151.76%8500000.8301001430
7Lian BichselBruins (BOS)D5662935-31000201798130517.41%129119521.35112650002164210%000000.5900000231
8Cameron HebigBruins (BOS)RW57161834-5602890172581379.30%1280114.07461038165000005054.35%4600000.8500000021
9Justin BaileyBruinsRW52131831112007068134501109.70%777814.9800001000003249.18%6100000.8001000013
10Nikolas BrouillardBruins (BOS)D5772431185351123960142311.67%4688315.511121235011091000%000000.7000010221
11Grant HuttonBruinsD525212664401196044114011.36%89106720.52000240002185010%000000.4900000101
12Nick DeSimoneBruinsD4471926-112026668335478.43%66107324.396410431270110158300%000000.4800000014
13Patrick GilesBruins (BOS)RW571112231060293496234611.46%458410.25325301351015643063.46%5200000.7900000120
14Brandon HickeyBruins (BOS)D56515201030055295818378.62%63100717.99347331590110149020%000000.4000000100
15Ben McCartneyBruins (BOS)LW577815340102761184711.48%64217.4000000000011050.00%2800000.7100000001
16Emilio PettersenBruins (BOS)C/LW577714-64014847319519.59%263811.2000000000000050.26%76200000.4400000001
17Kaleb LawrenceBruins (BOS)C575813227567375118229.80%83145.5200000000001149.61%38300000.8300100000
18Kyle McDonaldBruins (BOS)LW/RW575813-542095406730567.46%1164311.2800000000150058.33%3600000.4000000111
19Drew BavaroBruins (BOS)D7000-320536040%411917.1000032500001000%00000000000000
Statistiques d’équipe totales ou en moyenne10072073755821145282013841389207463514909.98%5761657116.4648871354361698246291559351351.01%517900110.7003112303031
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
1Ivan FedotovBruins (BOS)41241320.9073.0522594111512300010.66733819410
2Artur AkhtyamovBruins (BOS)2311610.8933.6611802072671000001938020
Statistiques d’équipe totales ou en moyenne64351930.9023.26343961187190100135757430


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
Artur AkhtyamovBruins (BOS)G242001-10-31RUSNo170 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ben McCartneyBruins (BOS)LW252001-07-13CANNo182 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Braden HacheBruins (BOS)D232003-05-21CANYes200 Lbs193 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Brandon HickeyBruins (BOS)D301996-04-13CANNo201 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Brendan WarrenBruins (BOS)LW291997-05-07USANo191 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Cameron HebigBruins (BOS)RW291997-01-21CANNo184 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Cole KoepkeBruins (BOS)LW/RW281998-05-17USANo207 Lbs185 CMNoNoTrade2025-08-31NoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Drew BavaroBruins (BOS)D262000-06-10USANo200 Lbs191 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Dylan WellsBruins (BOS)G281998-01-03CANNo190 Lbs188 CMNoNoTrade2025-09-11NoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Emilio PettersenBruins (BOS)C/LW262000-04-03NORNo170 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ivan Fedotov (contrat à 1 volet)Bruins (BOS)G291996-11-28RUSNo214 Lbs201 CMNoNoTrade2025-09-04YesYes12025-08-17FalseFalsePro & Farm3,275,000$3,275,000$869,922$No---------------------------Lien / Lien NHL
Jagger JoshuaBruins (BOS)LW271999-03-29USANo201 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
James HamblinBruins (BOS)C/LW271999-04-27CANNo185 Lbs178 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Joe FlemingBruins (BOS)D232003-06-19USANo215 Lbs185 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Kale ClagueBruins (BOS)D281998-06-05CANNo190 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Kaleb LawrenceBruins (BOS)C232003-01-10CANYes230 Lbs201 CMNoNoTrade2025-08-31NoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Kyle McDonaldBruins (BOS)LW/RW242002-02-05CANNo221 Lbs193 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Lian BichselBruins (BOS)D222004-05-18CHENo231 Lbs201 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Marc GatcombBruins (BOS)RW271999-07-22USANo195 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Marek AlscherBruins (BOS)D222004-04-07CZEYes206 Lbs191 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Nikolas BrouillardBruins (BOS)D311995-02-07CANNo168 Lbs178 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Patrick GilesBruins (BOS)RW262000-01-03USANo218 Lbs196 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Reid SchaeferBruins (BOS)LW222003-09-21CANNo226 Lbs196 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Sean FarrellBruins (BOS)C242001-11-02USANo175 Lbs175 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Spencer SmallmanBruins (BOS)RW291996-09-09CANNo198 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Vyacheslav PeksaBruins (BOS)G242002-08-27RUSYes181 Lbs191 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.00198 Lbs188 CM2.461,084,615$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole KoepkeJames HamblinMarc Gatcomb40122
2Reid SchaeferSean Farrell30122
3Kyle McDonaldEmilio PettersenCameron Hebig20122
4Ben McCartneyKaleb LawrencePatrick Giles10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian Bichsel40122
2Kale Clague30122
3Brandon HickeyNikolas Brouillard20122
4Kale Clague10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole KoepkeJames HamblinMarc Gatcomb60122
2Reid SchaeferSean FarrellCameron Hebig40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kale Clague60122
2Brandon HickeyPatrick Giles40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1James HamblinCole Koepke60041
2Sean FarrellReid Schaefer40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian Bichsel60140
2Brandon Hickey40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1James Hamblin60050Lian Bichsel60140
2Sean Farrell40050Brandon Hickey40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1James HamblinCole Koepke60122
2Sean FarrellReid Schaefer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian Bichsel60122
2Nikolas BrouillardBrandon Hickey40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole KoepkeJames HamblinMarc GatcombNikolas BrouillardKale Clague
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole KoepkeJames HamblinMarc GatcombLian Bichsel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Patrick Giles, James Hamblin, Sean FarrellPatrick Giles, James HamblinPatrick Giles
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikolas Brouillard, Lian Bichsel, , Nikolas Brouillard
Tirs de pénalité
Cole Koepke, , Reid Schaefer, Marc Gatcomb, Patrick Giles
Gardien
#1 : Ivan Fedotov, #2 : Artur Akhtyamov
Lignes d’attaque personnalisées en prolongation
Cole Koepke, , Marc Gatcomb, Reid Schaefer, Sean Farrell, Cameron Hebig, James Hamblin, Kyle McDonald, Kaleb Lawrence, Emilio Pettersen
Lignes de défense personnalisées en prolongation
Lian Bichsel, , Kale Clague, Nikolas Brouillard, Brandon Hickey


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
1Abbotsford Canucks2110000078-1110000004221010000036-320.5007132000765968564702672684217017225110330.00%11190.91%01127217151.91%1037202951.11%47894750.48%14169861297413728364
2Admirals1010000034-11010000034-10000000000000.00036900765968540702672684213574197114.29%220.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
3Barracuda11000000431000000000001100000043121.000471100765968536702672684213611122711100.00%6183.33%01127217151.91%1037202951.11%47894750.48%14169861297413728364
4Bears1010000046-2000000000001010000046-200.0004812107659685247026726842135178164125.00%30100.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
5Belleville Senators43100000131122110000045-12200000096360.7501323360076596851567026726842113041349414321.43%17288.24%01127217151.91%1037202951.11%47894750.48%14169861297413728364
6Bridgeport Islanders31200000614-81100000043120200000211-920.3336121800765968590702672684211134534691218.33%14471.43%01127217151.91%1037202951.11%47894750.48%14169861297413728364
7Calgary Wranglers210010001477110000009361000100054141.0001425390076596858570267268421512218486233.33%9455.56%01127217151.91%1037202951.11%47894750.48%14169861297413728364
8Charlotte Checkers22000000945110000004131100000053241.00091726007659685647026726842165252544400.00%10370.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
9Chicago Wolves21000001550210000015500000000000030.7505914007659685757026726842152141050800.00%5340.00%11127217151.91%1037202951.11%47894750.48%14169861297413728364
10Coachella Valley Firebirds211000008621010000013-21100000073420.500815230076596857770267268421722220427114.29%10190.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
11Colorado Eagles22000000862110000005411100000032141.0008132100765968583702672684217317204815533.33%10190.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
12Condors22000000835110000004131100000042241.00081422007659685657026726842169182759400.00%100100.00%11127217151.91%1037202951.11%47894750.48%14169861297413728364
13Griffins31200000712-52110000056-11010000026-420.3337111800765968584702672684211113632737228.57%15473.33%01127217151.91%1037202951.11%47894750.48%14169861297413728364
14Henderson Silver Knights210010001073110000006421000100043141.0001018280076596857570267268421741820517114.29%80100.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
15IceHogs220000001183110000005321100000065141.00011223300765968574702672684216613164110220.00%6266.67%01127217151.91%1037202951.11%47894750.48%14169861297413728364
16Laval Rocket32100000981211000006601100000032140.66791827007659685897026726842110835416813215.38%18477.78%01127217151.91%1037202951.11%47894750.48%14169861297413728364
17Moose1010000023-1000000000001010000023-100.00024600765968534702672684213598263133.33%4250.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
18Ontario Reign11000000422000000000001100000042221.0004812007659685397026726842130104354250.00%20100.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
19Penguins1010000023-11010000023-10000000000000.0002350076596853270267268421311410266116.67%5180.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
20Phantoms1010000035-21010000035-20000000000000.00035800765968537702672684214021102322100.00%5180.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
21Rochester Americans302010001016-62010100079-21010000037-420.3331017270076596851267026726842112130241057342.86%10370.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
22San Diego Gulls21001000853110000004221000100043141.00081523007659685667026726842158262242500.00%11281.82%01127217151.91%1037202951.11%47894750.48%14169861297413728364
23Syracruse Crunch211000006511010000013-21100000052320.5006121800765968580702672684215419164810330.00%6266.67%01127217151.91%1037202951.11%47894750.48%14169861297413728364
24Texas Stars11000000532000000000001100000053221.000591400765968540702672684214412252633100.00%5180.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
25Thunderbirds2020000059-41010000034-11010000025-300.0005813007659685647026726842164231456700.00%7271.43%01127217151.91%1037202951.11%47894750.48%14169861297413728364
26Toronto Marlies21000100981110000004221000010056-130.750915240076596858270267268421722018353133.33%7271.43%01127217151.91%1037202951.11%47894750.48%14169861297413728364
27Tucson Roadrunners2010010036-31000010023-11010000013-210.2503690076596857370267268421642116587228.57%8275.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
28Utica Comets11000000734110000007340000000000021.0007121900765968542702672684212034202150.00%20100.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
29Wild11000000312000000000001100000031221.0003690076596853670267268421273619400.00%3166.67%01127217151.91%1037202951.11%47894750.48%14169861297413728364
30Wolf Pack3200100015872100100011831100000040461.000152540017659685144702672684218213166719421.05%8275.00%01127217151.91%1037202951.11%47894750.48%14169861297413728364
Total5730190520120818919301610021011099217271490310099972730.640208376584117659685207670267268421190258253613862114822.75%2375377.64%21127217151.91%1037202951.11%47894750.48%14169861297413728364
_Since Last GM Reset5730190520120818919301610021011099217271490310099972730.640208376584117659685207670267268421190258253613862114822.75%2375377.64%21127217151.91%1037202951.11%47894750.48%14169861297413728364
_Vs Conference31151202101105108-3199702001635941265001004249-7360.58110518729211765968511257026726842110343332827381112421.62%1253175.20%11127217151.91%1037202951.11%47894750.48%14169861297413728364
_Vs Division19107011006364-11155010003132-18520010032320230.6056311317600765968568170267268421661206190467581424.14%832075.90%01127217151.91%1037202951.11%47894750.48%14169861297413728364

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5773W220837658420761902582536138611
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5730195201208189
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
301610210110992
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2714931009997
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2114822.75%2375377.64%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
702672684217659685
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
1127217151.91%1037202951.11%47894750.48%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14169861297413728364


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 - 2025-10-085Bruins4Bears6LSommaire du match
3 - 2025-10-098IceHogs3Bruins5WSommaire du match
5 - 2025-10-1124Rochester Americans5Bruins6WXSommaire du match
7 - 2025-10-1340Syracruse Crunch3Bruins1LSommaire du match
10 - 2025-10-1669Bruins4Henderson Silver Knights3WXSommaire du match
12 - 2025-10-1885Bruins3Colorado Eagles2WSommaire du match
13 - 2025-10-1992Bruins1Tucson Roadrunners3LSommaire du match
15 - 2025-10-21103Charlotte Checkers1Bruins4WSommaire du match
17 - 2025-10-23111San Diego Gulls2Bruins4WSommaire du match
19 - 2025-10-25128Colorado Eagles4Bruins5WSommaire du match
21 - 2025-10-27149Bruins4Belleville Senators2WSommaire du match
22 - 2025-10-28154Bridgeport Islanders3Bruins4WSommaire du match
24 - 2025-10-30167Rochester Americans4Bruins1LSommaire du match
26 - 2025-11-01181Chicago Wolves1Bruins2WSommaire du match
29 - 2025-11-04205Bruins0Bridgeport Islanders6LSommaire du match
31 - 2025-11-06218Belleville Senators2Bruins3WSommaire du match
33 - 2025-11-08234Bruins5Toronto Marlies6LXSommaire du match
36 - 2025-11-11256Toronto Marlies2Bruins4WSommaire du match
38 - 2025-11-13271Bruins5Belleville Senators4WSommaire du match
40 - 2025-11-15285Bruins3Laval Rocket2WSommaire du match
42 - 2025-11-17301Chicago Wolves4Bruins3LXXSommaire du match
44 - 2025-11-19318Bruins4San Diego Gulls3WXSommaire du match
46 - 2025-11-21334Bruins4Ontario Reign2WSommaire du match
48 - 2025-11-23351Bruins4Barracuda3WSommaire du match
51 - 2025-11-26365Bruins2Bridgeport Islanders5LSommaire du match
53 - 2025-11-28376Wolf Pack4Bruins5WXSommaire du match
54 - 2025-11-29394Griffins1Bruins2WSommaire du match
57 - 2025-12-02412Bruins2Griffins6LSommaire du match
59 - 2025-12-04426Thunderbirds4Bruins3LSommaire du match
61 - 2025-12-06443Utica Comets3Bruins7WSommaire du match
64 - 2025-12-09472Bruins2Thunderbirds5LSommaire du match
66 - 2025-12-11489Bruins2Moose3LSommaire du match
69 - 2025-12-14511Bruins3Wild1WSommaire du match
71 - 2025-12-16519Tucson Roadrunners3Bruins2LXSommaire du match
73 - 2025-12-18534Condors1Bruins4WSommaire du match
75 - 2025-12-20555Abbotsford Canucks2Bruins4WSommaire du match
76 - 2025-12-21564Belleville Senators3Bruins1LSommaire du match
78 - 2025-12-23577Laval Rocket3Bruins1LSommaire du match
82 - 2025-12-27589Bruins3Rochester Americans7LSommaire du match
84 - 2025-12-29613Bruins5Calgary Wranglers4WXSommaire du match
86 - 2025-12-31631Bruins4Condors2WSommaire du match
89 - 2026-01-03656Bruins3Abbotsford Canucks6LSommaire du match
92 - 2026-01-06676Bruins7Coachella Valley Firebirds3WSommaire du match
94 - 2026-01-08682Calgary Wranglers3Bruins9WSommaire du match
96 - 2026-01-10697Wolf Pack4Bruins6WSommaire du match
97 - 2026-01-11712Penguins3Bruins2LSommaire du match
99 - 2026-01-13729Griffins5Bruins3LSommaire du match
101 - 2026-01-15739Coachella Valley Firebirds3Bruins1LSommaire du match
103 - 2026-01-17763Bruins6IceHogs5WSommaire du match
106 - 2026-01-20783Bruins5Texas Stars3WSommaire du match
108 - 2026-01-22794Henderson Silver Knights4Bruins6WSommaire du match
110 - 2026-01-24812Laval Rocket3Bruins5WSommaire du match
112 - 2026-01-26826Bruins4Wolf Pack0WSommaire du match
113 - 2026-01-27830Admirals4Bruins3LSommaire du match
115 - 2026-01-29843Phantoms5Bruins3LSommaire du match
118 - 2026-02-01873Bruins5Syracruse Crunch2WSommaire du match
121 - 2026-02-04893Bruins5Charlotte Checkers3WSommaire du match
143 - 2026-02-26918Monsters-Bruins-
145 - 2026-02-28935Bruins-Phantoms-
148 - 2026-03-03959Penguins-Bruins-
150 - 2026-03-05979Bruins-Admirals-
152 - 2026-03-07990Bears-Bruins-
153 - 2026-03-081002Bruins-Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101012Ontario Reign-Bruins-
157 - 2026-03-121027Barracuda-Bruins-
159 - 2026-03-141044Bruins-Bears-
161 - 2026-03-161064Bruins-Utica Comets-
162 - 2026-03-171069Bruins-Laval Rocket-
164 - 2026-03-191083Moose-Bruins-
166 - 2026-03-211108Bruins-Griffins-
169 - 2026-03-241120Toronto Marlies-Bruins-
170 - 2026-03-251135Bruins-Rochester Americans-
173 - 2026-03-281155Wild-Bruins-
174 - 2026-03-291170Bruins-Monsters-
176 - 2026-03-311178Texas Stars-Bruins-
178 - 2026-04-021193Bruins-Charlotte Checkers-
180 - 2026-04-041210Bruins-Syracruse Crunch-
181 - 2026-04-051224Bruins-Phantoms-
183 - 2026-04-071237Bruins-Chicago Wolves-
187 - 2026-04-111261Syracruse Crunch-Bruins-
188 - 2026-04-121278Bruins-Monsters-
190 - 2026-04-141292Utica Comets-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance57,14828,757
Assistance PCT95.25%95.86%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 2864 - 95.45% 118,335$3,550,037$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,306,934$ 2,492,500$ 2,492,500$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,004,834$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,301,680$ 51 26,003$ 1,326,153$




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