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Bruins
GP: 9 | W: 3 | L: 6 | OTL: 0 | P: 6
GF: 36 | GA: 31 | PP%: 22.22% | PK%: 71.79%
DG: Pascal Lupien | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #149 vs Stars

Centre de jeu
Bruins
3-6-0, 6pts
3
7 Gulls
6-2-0, 12pts
Team Stats
W1SéquenceW2
1-3-0Fiche domicile3-1-0
2-3-0Fiche domicile3-1-0
3-6-0Derniers 10 matchs6-2-0
4.00Buts par match 5.88
3.44Buts contre par match 3.38
22.22%Pourcentage en avantage numérique33.33%
71.79%Pourcentage en désavantage numérique67.86%
Bruins
3-6-0, 6pts
3
2 Reign
4-2-0, 8pts
Team Stats
W1SéquenceL1
1-3-0Fiche domicile2-1-0
2-3-0Fiche domicile2-1-0
3-6-0Derniers 10 matchs4-2-0
4.00Buts par match 4.00
3.44Buts contre par match 2.83
22.22%Pourcentage en avantage numérique22.73%
71.79%Pourcentage en désavantage numérique78.26%
Bruins
3-6-0, 6pts
2026-10-20
Stars
6-2-0, 12pts
Statistiques d’équipe
W1SéquenceW1
1-3-0Fiche domicile2-1-0
2-3-0Fiche visiteur4-1-0
3-6-010 derniers matchs6-2-0
4.00Buts par match 3.25
3.44Buts contre par match 3.25
22.22%Pourcentage en avantage numérique25.00%
71.79%Pourcentage en désavantage numérique72.73%
Admirals
5-3-0, 10pts
2026-10-22
Bruins
3-6-0, 6pts
Statistiques d’équipe
W3SéquenceW1
3-2-0Fiche domicile1-3-0
2-1-0Fiche visiteur2-3-0
5-3-010 derniers matchs3-6-0
4.75Buts par match 4.00
2.63Buts contre par match 4.00
26.09%Pourcentage en avantage numérique22.22%
77.27%Pourcentage en désavantage numérique71.79%
Barracuda
6-2-1, 13pts
2026-10-24
Bruins
3-6-0, 6pts
Statistiques d’équipe
W2SéquenceW1
3-0-1Fiche domicile1-3-0
3-2-0Fiche visiteur2-3-0
6-2-110 derniers matchs3-6-0
4.44Buts par match 4.00
3.44Buts contre par match 4.00
25.81%Pourcentage en avantage numérique22.22%
59.09%Pourcentage en désavantage numérique71.79%
Meneurs d'équipe
Kyle McDonaldButs
Kyle McDonald
5
Atro LeppanenPasses
Atro Leppanen
8
Atro LeppanenPoints
Atro Leppanen
12
Atro LeppanenPlus/Moins
Atro Leppanen
8
Riley MercerVictoires
Riley Mercer
2
Riley MercerPourcentage d’arrêts
Riley Mercer
0.909

Statistiques d’équipe
Buts pour
36
4.00 GFG
Tirs pour
331
36.78 Avg
Pourcentage en avantage numérique
22.2%
4 GF
Début de zone offensive
39.8%
Buts contre
31
3.44 GAA
Tirs contre
323
35.89 Avg
Pourcentage en désavantage numérique
71.8%%
11 GA
Début de la zone défensive
41.1%
Informations de l'équipe

Directeur généralPascal Lupien
EntraîneurChris Kelly
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance3,750
Billets de saison3,750


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 70
Espoirs46


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
1Juuso ParssinenXX100.007640886685737565726263616667650406502631,499,999$
2Nikita GrebenkinXX100.00724274648277816265615859606365040630242925,000$
3Ben McCartneyX100.00624266647184836165636260646667040630261925,000$
4Sam PoulinX100.00734079638483865855625961636567040630262999,999$
5Ivan IvanXX100.00623884637277895961585760566466040620251925,000$
6Kyle McDonaldX100.00824183599171735855575660586466040620251925,000$
7Jackson Kunz (R)X100.00763895568569675768625059536466040610253925,000$
8Jacob MelansonX100.00824271607681805867575956616365040610241925,000$
9Alex JefferiesX100.00643983577384825662595855576567040600251925,000$
10Alexis GendronXX100.00553974616488825955576056586365040600231925,000$
11Jon-Randall AvonXX100.00603793596977795660585755566365040600241925,000$
12Mathew DumbaX100.00705969667383796330695864517874040650331999,999$
13Scott PerunovichX100.00613879676582786630725960526870040640292999,999$
14Atro Leppanen (R)X100.00623883647178806330665862536870040630283925,000$
15Shai BuiumX100.00763991608566795630615359476365040610242925,000$
16William VilleneuveX100.00654073627784825830635361476466040610253924,000$
17Sawyer Mynio (R)X100.00633977597274705630605355466163040590223925,000$
Rayé
1Ryan TverbergX100.00663784587075815760565559546466040600251950,000$
2Massimo RizzoX100.00563693596566705862575653586567040590262925,000$
3Kenta Isogai (R)X100.00593695566968705452535557566264040580233924,000$
4Marc-Andre Gaudet (R)X100.00703992547966705330555256456365040590233925,000$
5Gavin WhiteX100.00653892577472785530565354466466040590241925,000$
6Christopher Merisier-OrtizX100.00583694566762685430555053456567040580262925,000$
MOYENNE D’ÉQUIPE100.0067408360757677584960565854656604061
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 Fedotov100.0077858098767577767577767084040670301925,000$
2Riley Mercer100.00687470776766686766686762670406202331,499,999$
Rayé
1Yaniv Perets100.0064726874636264636264636675040600272925,000$
MOYENNE D’ÉQUIPE100.007077738369687069687069667504063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Kelly69687162676381CAN453750,000$


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
1Atro LeppanenBruins (BOS)D94812860198202920.00%1220122.40134811000024000%000001.1900000110
2Ivan IvanBruins (BOS)C/LW9371062081626101011.54%317119.020002110000100049.45%18200001.1700000100
3Ben McCartneyBruins (BOS)LW93710320913318259.68%217519.450112150001171046.15%1300001.1400000001
4Nikita GrebenkinBruins (BOS)LW/RW9459718081336122311.11%216117.962027120000150063.64%1100001.1100000001
5Jackson KunzBruins (BOS)C926832062221499.52%412614.0800011000021061.59%13800001.2600000100
6Juuso ParssinenBruins (BOS)C/LW734752014183610148.33%116924.18101290000240059.65%22800000.8300000010
7Sam PoulinBruins (BOS)RW8167620167205175.00%316320.470004120000210041.18%1700000.8600000100
8William VilleneuveBruins (BOS)D9066514026611450%1416618.5102237000016000%000000.7200000000
9Kyle McDonaldBruins (BOS)RW951669519112471420.83%815116.83011112000070045.45%1100000.7900001100
10Shai BuiumBruins (BOS)D9145412021813237.69%917719.70000214000019000%000000.5600000000
11Jacob MelansonBruins (BOS)RW932512022122792011.11%314115.7200001000020048.28%2900000.7100000010
12Jon-Randall AvonBruins (BOS)C/LW9235400471551313.33%213214.7300000000000057.14%700000.7500000000
13Mathew DumbaBruins (BOS)D40330401640230%19824.7000007000015000%000000.6100000000
14Alex JefferiesBruins (BOS)LW9022-120849560%3768.51000000000000100.00%200000.5200000000
15Sawyer MynioBruins (BOS)D711214020370414.29%810715.350000000003000%000000.3700000010
16Ryan TverbergBruins (BOS)C6112-1005793911.11%17011.6900012000040052.86%7000000.5700000000
17Scott PerunovichBruins (BOS)D41120206753520.00%810025.0700037000016000%000000.4000000000
18Christopher Merisier-OrtizBruins (BOS)D2011200000000%073.740000000001000%000002.6700000000
19Alexis GendronBruins (BOS)C/RW9101-22043142157.14%2657.2400001000001052.94%1700000.3100000000
20Marc-Andre GaudetBruins (BOS)D31013406042225.00%25919.860000400003000%000000.3400000000
21Gavin WhiteBruins (BOS)D3000200413120%34816.090000000001000%00000000000000
Statistiques d’équipe totales ou en moyenne1523668104628952411703319620810.88%91257216.9247113613200012093055.45%72500000.8100001542
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
1Riley MercerBruins (BOS)62400.9093.0135901181970000063000
2Ivan FedotovBruins (BOS)31200.8974.3617900131260000030001
Statistiques d’équipe totales ou en moyenne93600.9043.465380131323000093001


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex JefferiesBruins (BOS)LW252001-11-08USANo195 Lbs183 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Alexis GendronBruins (BOS)C/RW232003-12-30CANNo175 Lbs175 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Atro LeppanenBruins (BOS)D281998-12-14FINYes183 Lbs183 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Ben McCartneyBruins (BOS)LW262001-07-13CANNo182 Lbs183 CMNoNoN/ANoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Christopher Merisier-OrtizBruins (BOS)D262001-01-17CANNo171 Lbs180 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Gavin WhiteBruins (BOS)D242002-11-12CANNo196 Lbs183 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Ivan FedotovBruins (BOS)G301996-11-28RUSNo214 Lbs201 CMNoNoProspectYesYes12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Ivan IvanBruins (BOS)C/LW252002-08-20CZENo190 Lbs183 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jackson KunzBruins (BOS)C252002-08-13USAYes210 Lbs191 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Jacob MelansonBruins (BOS)RW242003-04-22CANNo207 Lbs183 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jon-Randall AvonBruins (BOS)C/LW242003-07-04CANNo175 Lbs183 CMNoNoAssign ManuallyNoNo12024-07-22FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Juuso ParssinenBruins (BOS)C/LW262001-02-01FINNo207 Lbs191 CMNoNoFree Agent2025-08-07NoNo32026-07-25FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Kenta IsogaiBruins (BOS)LW232004-08-28JPNYes177 Lbs180 CMNoNoAssign ManuallyNoNo32026-07-18FalseFalsePro & Farm924,000$0$0$No924,000$924,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Kyle McDonaldBruins (BOS)RW252002-02-05CANNo221 Lbs193 CMNoNoAssign ManuallyNoNo12024-07-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Marc-Andre GaudetBruins (BOS)D232003-10-24CANYes180 Lbs191 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Massimo RizzoBruins (BOS)C262001-06-13CANNo175 Lbs178 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Mathew DumbaBruins (BOS)D331994-07-25CANNo191 Lbs183 CMNoNoFree Agent2025-01-03YesYes12025-07-05FalseFalsePro & Farm999,999$0$0$No---------------------------Lien / Lien NHL
Nikita GrebenkinBruins (BOS)LW/RW242003-05-02RUSNo210 Lbs188 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Riley MercerBruins (BOS)G232004-03-31CANNo200 Lbs185 CMNoNoFree AgentNoNo32026-07-25FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Ryan TverbergBruins (BOS)C252002-01-30CANNo187 Lbs180 CMNoNoAssign ManuallyNoNo12024-07-22FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Sam PoulinBruins (BOS)RW262001-02-25CANNo217 Lbs188 CMNoNoFree AgentNoNo22025-07-19FalseFalsePro & Farm999,999$0$0$No999,999$--------999,999$--------No--------Lien / Lien NHL
Sawyer MynioBruins (BOS)D222005-04-30CANYes173 Lbs185 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Scott PerunovichBruins (BOS)D291998-08-18USANo175 Lbs178 CMNoNoFree AgentYesYes22025-07-05FalseFalsePro & Farm999,999$0$0$No999,999$--------999,999$--------No--------Lien / Lien NHL
Shai BuiumBruins (BOS)D242003-03-26USANo209 Lbs191 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
William VilleneuveBruins (BOS)D252002-03-20CANNo183 Lbs188 CMNoNoN/ANoNo32026-05-24FalseFalsePro & Farm924,000$0$0$No924,000$924,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Yaniv PeretsBruins (BOS)G272000-03-04CANNo181 Lbs185 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.42192 Lbs185 CM1.88978,769$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikita GrebenkinJuuso ParssinenSam Poulin40122
2Ben McCartneyIvan IvanKyle McDonald30122
3Jon-Randall AvonJackson KunzJacob Melanson20122
4Alex JefferiesAlexis GendronJuuso Parssinen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mathew DumbaScott Perunovich40122
2Atro LeppanenShai Buium30122
3William VilleneuveSawyer Mynio20122
4Mathew DumbaScott Perunovich10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikita GrebenkinJuuso ParssinenSam Poulin60122
2Ben McCartneyIvan IvanKyle McDonald40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mathew DumbaScott Perunovich60122
2Atro LeppanenShai Buium40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenNikita Grebenkin60122
2Ivan IvanBen McCartney40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mathew DumbaScott Perunovich60122
2Atro LeppanenShai Buium40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Juuso Parssinen60122Mathew DumbaScott Perunovich60122
2Ivan Ivan40122Atro LeppanenShai Buium40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenNikita Grebenkin60122
2Ivan IvanBen McCartney40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mathew DumbaScott Perunovich60122
2Atro LeppanenShai Buium40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikita GrebenkinJuuso ParssinenSam PoulinMathew DumbaScott Perunovich
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben McCartneyIvan IvanKyle McDonaldAtro LeppanenShai Buium
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle McDonald, Ivan Ivan, Jacob MelansonKyle McDonald, Ivan IvanKyle McDonald
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Shai Buium, William Villeneuve, Sawyer MynioShai BuiumShai Buium, William Villeneuve
Tirs de pénalité
Juuso Parssinen, Nikita Grebenkin, Sam Poulin, Ben McCartney, Kyle McDonald
Gardien
#1 : Ivan Fedotov, #2 : Riley Mercer


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
1Barracuda1010000034-1000000000001010000034-100.0003690016911026111101119039111227100.00%6266.67%017330556.72%16531552.38%7414750.34%2211572085610956
2Gulls1010000037-4000000000001010000037-400.0003690016911022111101119053141036200.00%4250.00%017330556.72%16531552.38%7414750.34%2211572085610956
3Moose110000001001000000000000110000001001021.0001018280116911079111101119021763722100.00%30100.00%017330556.72%16531552.38%7414750.34%2211572085610956
4Phantoms1010000034-11010000034-10000000000000.000369001691101811110111904151222100.00%6266.67%017330556.72%16531552.38%7414750.34%2211572085610956
5Reign11000000321000000000001100000032121.000358001691102111110111903491227300.00%6183.33%017330556.72%16531552.38%7414750.34%2211572085610956
6Roadrunners1010000034-11010000034-10000000000000.0003580016911027111101119037171917300.00%6266.67%017330556.72%16531552.38%7414750.34%2211572085610956
7Senators1010000025-31010000025-30000000000000.0002460016911020111101119042121021100.00%5260.00%017330556.72%16531552.38%7414750.34%2211572085610956
8Wild1010000024-2000000000001010000024-200.0002460016911036111101119033114213133.33%20100.00%017330556.72%16531552.38%7414750.34%2211572085610956
9Wolf Pack11000000716110000007160000000000021.00071421001691108211110111902354332150.00%10100.00%017330556.72%16531552.38%7414750.34%2211572085610956
Total93600000363154130000015141523000002117460.3333668104011691103311111011190323918924118422.22%391171.79%017330556.72%16531552.38%7414750.34%2211572085610956
_Since Last GM Reset93600000363154130000015141523000002117460.3333668104011691103311111011190323918924118422.22%391171.79%017330556.72%16531552.38%7414750.34%2211572085610956
_Vs Conference312000001210231200000121020000000000020.3331224360016911012011110111901062226764125.00%12466.67%017330556.72%16531552.38%7414750.34%2211572085610956
_Vs Division1010000025-31010000025-30000000000000.0002460016911020111101119042121021100.00%5260.00%017330556.72%16531552.38%7414750.34%2211572085610956

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
96W13668104331323918924101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
93600003631
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001514
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300002117
Derniers 10 matchs
WLOTWOTL SOWSOL
360000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18422.22%391171.79%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1111011190169110
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
17330556.72%16531552.38%7414750.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2211572085610956


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
1 - 2026-09-294Wolf Pack1Bruins7WSommaire du match
4 - 2026-10-0219Bruins10Moose0WSommaire du match
5 - 2026-10-0332Bruins2Wild4LSommaire du match
7 - 2026-10-0542Senators5Bruins2LSommaire du match
10 - 2026-10-0856Roadrunners4Bruins3LSommaire du match
12 - 2026-10-1079Phantoms4Bruins3LSommaire du match
15 - 2026-10-1390Bruins3Barracuda4LSommaire du match
18 - 2026-10-16119Bruins3Gulls7LSommaire du match
19 - 2026-10-17122Bruins3Reign2WSommaire du match
22 - 2026-10-20149Bruins-Stars-
24 - 2026-10-22157Admirals-Bruins-
26 - 2026-10-24174Barracuda-Bruins-
29 - 2026-10-27191Bruins-Wolves-
31 - 2026-10-29213Bruins-Thunderbirds-
33 - 2026-10-31223IceHogs-Bruins-
35 - 2026-11-02234Silver Knights-Bruins-
38 - 2026-11-05260Bruins-Penguins-
41 - 2026-11-08278Checkers-Bruins-
45 - 2026-11-12299Rocket-Bruins-
47 - 2026-11-14317Wild-Bruins-
50 - 2026-11-17341Reign-Bruins-
51 - 2026-11-18344Bruins-Griffins-
53 - 2026-11-20372Bears-Bruins-
57 - 2026-11-24393Moose-Bruins-
58 - 2026-11-25401Marlies-Bruins-
60 - 2026-11-27428Canucks-Bruins-
62 - 2026-11-29444Eagles-Bruins-
66 - 2026-12-03468Griffins-Bruins-
69 - 2026-12-06493Bruins-Checkers-
71 - 2026-12-08509Bruins-Crunch-
73 - 2026-12-10525Comets-Bruins-
74 - 2026-12-11527Bruins-Wolves-
76 - 2026-12-13544Checkers-Bruins-
78 - 2026-12-15554Thunderbirds-Bruins-
80 - 2026-12-17567Bruins-Comets-
81 - 2026-12-18578Phantoms-Bruins-
83 - 2026-12-20593Bruins-Sound Tigers-
84 - 2026-12-21604Sound Tigers-Bruins-
85 - 2026-12-22615Bruins-Comets-
88 - 2026-12-25638Condors-Bruins-
90 - 2026-12-27652Bruins-IceHogs-
91 - 2026-12-28655Bruins-Monsters-
94 - 2026-12-31685Americans-Bruins-
95 - 2027-01-01692Bruins-Rocket-
98 - 2027-01-04721Bruins-Griffins-
101 - 2027-01-07737Wolves-Bruins-
103 - 2027-01-09746Stars-Bruins-
105 - 2027-01-11763Bruins-Wolf Pack-
107 - 2027-01-13777Crunch-Bruins-
109 - 2027-01-15794Bruins-Eagles-
111 - 2027-01-17810Bruins-Silver Knights-
112 - 2027-01-18818Bruins-Roadrunners-
115 - 2027-01-21843Monsters-Bruins-
117 - 2027-01-23857Bruins-Senators-
119 - 2027-01-25869Marlies-Bruins-
126 - 2027-02-01902Bruins-Marlies-
129 - 2027-02-04916Monsters-Bruins-
131 - 2027-02-06929Gulls-Bruins-
133 - 2027-02-08945Bruins-Heat-
135 - 2027-02-10966Bruins-Condors-
137 - 2027-02-12983Bruins-Canucks-
138 - 2027-02-13989Bruins-Firebirds-
141 - 2027-02-161011Bears-Bruins-
143 - 2027-02-181023Griffins-Bruins-
147 - 2027-02-221049Bruins-Wolf Pack-
148 - 2027-02-231060Bruins-Senators-
150 - 2027-02-251071Penguins-Bruins-
152 - 2027-02-271089Firebirds-Bruins-
154 - 2027-03-011104Bruins-Rocket-
155 - 2027-03-021108Bruins-Penguins-
157 - 2027-03-041120Heat-Bruins-
159 - 2027-03-061138Sound Tigers-Bruins-
162 - 2027-03-091170Bruins-Phantoms-
164 - 2027-03-111175Bruins-Admirals-
167 - 2027-03-141196Americans-Bruins-
169 - 2027-03-161222Senators-Bruins-
170 - 2027-03-171225Bruins-Bears-
174 - 2027-03-211251Rocket-Bruins-
176 - 2027-03-231266Bruins-Americans-
178 - 2027-03-251280Crunch-Bruins-
180 - 2027-03-271298Bruins-Marlies-
182 - 2027-03-291315Bruins-Americans-
184 - 2027-03-311325Bruins-Checkers-
185 - 2027-04-011344Bruins-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3020
Assistance9,0006,000
Assistance PCT75.00%75.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 3750 - 75.00% 142,350$569,400$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
374,010$ 2,544,800$ 2,544,800$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 288,876$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,266,950$ 164 17,810$ 2,920,840$




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