Connexion

Bruins
GP: 12 | W: 7 | L: 4 | OTL: 1 | P: 15
GF: 32 | GA: 30 | PP%: 24.56% | PK%: 73.47%
DG: Pierre-Etienne Francoeur | Morale : 40 | Moyenne d’équipe : 66
Prochains matchs #150 vs Wolf Pack
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Centre de jeu
Bruins
7-4-1, 15pts
5
FINAL
3 Condors
6-6-0, 12pts
Team Stats
W2SéquenceW1
3-2-1Fiche domicile3-3-0
4-2-0Fiche domicile3-3-0
7-2-1Derniers 10 matchs4-6-0
2.67Buts par match 3.00
2.50Buts contre par match 3.00
24.56%Pourcentage en avantage numérique23.53%
73.47%Pourcentage en désavantage numérique74.00%
Gulls
7-5-0, 14pts
2
FINAL
3 Bruins
7-4-1, 15pts
Team Stats
L2SéquenceW2
4-2-0Fiche domicile3-2-1
3-3-0Fiche domicile4-2-0
6-4-0Derniers 10 matchs7-2-1
2.42Buts par match 2.67
2.67Buts contre par match 2.50
25.58%Pourcentage en avantage numérique24.56%
77.27%Pourcentage en désavantage numérique73.47%
Wolf Pack
6-6-0, 12pts
2025-01-14
Bruins
7-4-1, 15pts
Statistiques d’équipe
L1SéquenceW2
3-4-0Fiche domicile3-2-1
3-2-0Fiche visiteur4-2-0
5-5-010 derniers matchs7-2-1
2.67Buts par match 2.67
2.58Buts contre par match 2.67
25.53%Pourcentage en avantage numérique24.56%
75.68%Pourcentage en désavantage numérique73.47%
Bruins
7-4-1, 15pts
2025-01-16
Rocket
7-5-0, 14pts
Statistiques d’équipe
W2SéquenceL3
3-2-1Fiche domicile4-2-0
4-2-0Fiche visiteur3-3-0
7-2-110 derniers matchs6-4-0
2.67Buts par match 2.58
2.50Buts contre par match 2.58
24.56%Pourcentage en avantage numérique18.87%
73.47%Pourcentage en désavantage numérique78.72%
Bruins
7-4-1, 15pts
2025-01-18
Comets
5-6-1, 11pts
Statistiques d’équipe
W2SéquenceOTL1
3-2-1Fiche domicile1-4-1
4-2-0Fiche visiteur4-2-0
7-2-110 derniers matchs4-5-1
2.67Buts par match 3.42
2.50Buts contre par match 3.42
24.56%Pourcentage en avantage numérique15.38%
73.47%Pourcentage en désavantage numérique76.60%
Meneurs d'équipe
Klim KostinButs
Klim Kostin
6
Passes
Mason Lohrei
8
Andrew PeekePoints
Andrew Peeke
11
Plus/Moins
Olen Zellweger
3
James ReimerVictoires
James Reimer
7
James ReimerPourcentage d’arrêts
James Reimer
0.9

Statistiques d’équipe
Buts pour
32
2.67 GFG
Tirs pour
346
28.83 Avg
Pourcentage en avantage numérique
24.6%
14 GF
Début de zone offensive
42.7%
Buts contre
30
2.50 GAA
Tirs contre
291
24.25 Avg
Pourcentage en désavantage numérique
73.5%%
13 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur généralPierre-Etienne Francoeur
EntraîneurJim Montgomery
DivisionCentral Division
ConférenceConférence Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro28
Équipe Mineure22
Limite contact 50 / 70
Espoirs34


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
1Noah Gregor0XX100.00834589757982837455666671727060040710272950,000$
2John Beecher (R)0X100.00804579758982707083636772715350040700241925,000$
3Jakub Lauko0XX100.00886375758079766950686270695850040690252871,667$
4Tomas Nosek0XX100.006740827182837968786462696783730406903311,000,000$
5Dylan Holloway0XX100.007655687586826870556366677058500406802411,441,667$
6Klim Kostin0XX100.00777075658259736254706668545858040660252750,000$
7Arshdeep Bains0X100.00654270726365636545665967655150040640252816,667$
8Nikita Nesterenko0XX100.00644368666566646461625961635050040620243925,000$
9Jiri Kulich (R)0XX100.00634271716459566662616460675050040620212886,667$
10Fabian Lysell (R)0X100.006043677259636165456558626550500406202221,034,167$
11Georgi Merkulov0XXX100.00556166605967656355606361545754040610242925,000$
12John Farinacci0XX100.00614174656467656361635660615150040610243950,000$
13Ilya Lyubushkin0X100.008057697581868670406860896875650407503132,750,000$
14Kevin Shattenkirk0X100.007045887578849277407670767489790407503621,000,000$
15Andrew Peeke0X100.00684580738785757040696275687060040720272787,500$
16Mason Lohrei (R)0X100.006045787489866571406967717152500407002411,050,000$
17Olen Zellweger (R)0X100.00574082777687657040676468705250040680223871,667$
18Brandt Clarke (R)0X100.006144647264626066406560686650500406402221,713,333$
Rayé
1Tristen Nielsen0X100.00544564656166646444615951635250040600252750,000$
2Ilya Usau0X100.00614173656463615857535356595050040580241925,000$
3Scott Reedy0X100.00644070606962595541515257565350040570261925,000$
4Marc McLaughlin0X100.00604272616566646057525452585250040570261925,000$
5Matt Rempe0XX100.00655854597263615842515452575050040560232820,000$
6Robin Salo0X100.00544272656267656440615558615350040600271925,000$
MOYENNE D’ÉQUIPE100.0066477369737268665163616565585404065
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
1James Reimer0100.00748584788080768081797989820407803721,500,000$
2Ivan Prosvetov0100.0075757375757573727272716558040720262750,000$
Rayé
1Yaroslav Askarov0100.00756369667173757475726150500407002311,775,000$
2Brandon Bussi0100.0073677273737275717373615450040700271750,000$
MOYENNE D’ÉQUIPE100.007473757375757574757468656004073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Montgomery9089868088921CAN551750,000$


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
1Andrew PeekeBruins (BOS)D12471114019142541216.00%1425721.443471839000036110%000000.8600000210
2Klim KostinBruins (BOS)LW/RW1264101201692611923.08%121017.572137390000240012.50%800000.9500000210
3Mason LohreiBruins (BOS)D12281028010172213149.09%525921.632571539000039000%000000.7700000201
4Dylan HollowayBruins (BOS)C/LW121780401911225144.55%119716.43055638000080027.78%1800000.8100000000
5Kevin ShattenkirkBruins (BOS)D12257-21001421387225.26%1330125.162242751011139000%000000.4600000011
6Tomas NosekBruins (BOS)C/LW12257220232226259.09%221818.220227400000262063.71%25900000.6400000010
7Jakub LaukoBruins (BOS)LW/RW12336212033152783111.11%021017.51112550000071075.00%1200000.5701000200
8Noah GregorBruins (BOS)LW/RW1242610014233172512.90%425721.493149510004501052.38%2100000.4711000000
9John BeecherBruins (BOS)C122461202238261197.69%125621.3512310510110491161.33%36200000.4701000000
10Ilya LyubushkinBruins (BOS)D12145-435534252912123.45%928323.620332149101130000%000000.3500001100
11Olen ZellwegerBruins (BOS)D12145340111382712.50%717814.8800001000016000%000000.5600000011
12Georgi MerkulovBruins (BOS)C/LW/RW121342001041031110.00%314512.0900002000001020.00%500000.5500000001
13Brandt ClarkeBruins (BOS)D12033380241283130%516413.720000200002000%000000.3600000000
14Jiri KulichBruins (BOS)C/LW1211228012722174.55%014111.7800000000000037.50%800000.2800000001
15John FarinacciBruins (BOS)C/RW1220222072392622.22%314111.7900000000000148.05%15400000.2800000020
16Arshdeep BainsBruins (BOS)LW12000-320857290%01068.8900000000000050.00%120000000000000
17Nikita NesterenkoBruins (BOS)C/LW12000-320354010%01058.7900000000000042.73%1100000000000000
18Fabian LysellBruins (BOS)RW12000-3604610490%01058.780000000000000%30000000000000
Statistiques d’équipe totales ou en moyenne21632609271115262280346812569.25%68354116.4014264012545712363317355.97%97200000.5213001975
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
1James ReimerBruins (BOS)127410.9002.3972840292910000.3333120100
Statistiques d’équipe totales ou en moyenne127410.9002.3972840292910003120100


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
Andrew PeekeBruins (BOS)D271997-03-17USANo214 Lbs6 ft3NoNoTrade2024-03-08NoNo2FalseFalsePro & Farm787,500$0$0$No787,500$--------787,500$--------No--------Lien NHL
Arshdeep BainsBruins (BOS)LW252000-01-09CANNo184 Lbs6 ft0NoNoTrade2024-03-08NoNo2FalseFalsePro & Farm816,667$0$0$No816,667$--------816,667$--------No--------
Brandon BussiBruins (BOS)G271997-06-25USANo218 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Brandt ClarkeBruins (BOS)D222002-02-09CANYes187 Lbs6 ft2NoNoProspectNoNo22024-08-23FalseFalsePro & Farm1,713,333$0$0$No1,713,333$--------1,713,333$--------No--------
Dylan HollowayBruins (BOS)C/LW242000-09-23CANNo206 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,441,667$0$0$No---------------------------
Fabian LysellBruins (BOS)RW222002-01-19SWEYes175 Lbs5 ft10NoNoProspectNoNo22024-08-23FalseFalsePro & Farm1,034,167$0$0$No1,034,167$--------1,034,167$--------No--------
Georgi MerkulovBruins (BOS)C/LW/RW242000-10-10RUSNo181 Lbs5 ft11NoNoTrade2024-07-01NoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Ilya LyubushkinBruins (BOS)D311993-04-06RUSNo200 Lbs6 ft2NoNoN/AYesYes32024-08-23FalseFalsePro & Farm2,750,000$0$0$No2,750,000$2,750,000$-------2,750,000$2,750,000$-------NoNo-------Lien NHL
Ilya UsauBruins (BOS)C242000-08-03BELNo189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Ivan ProsvetovBruins (BOS)G261998-03-05RUSNo195 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Jakub LaukoBruins (BOS)LW/RW251999-03-28CZENo193 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm871,667$0$0$No871,667$--------871,667$--------No--------Lien NHL
James ReimerBruins (BOS)G371987-03-15CANNo200 Lbs6 ft2NoNoTrade2024-07-04YesYes22024-08-23FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien NHL
Jiri KulichBruins (BOS)C/LW212003-04-14CZEYes186 Lbs6 ft1NoNoProspectNoNo22024-08-23FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------
John BeecherBruins (BOS)C242000-04-05USAYes216 Lbs6 ft3NoNoProspectNoNo12024-08-23FalseFalsePro & Farm925,000$0$0$No---------------------------
John FarinacciBruins (BOS)C/RW242000-02-14USANo197 Lbs5 ft11NoNoAssign ManuallyNoNo32024-11-11FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Kevin ShattenkirkBruins (BOS)D361988-01-29USANo203 Lbs6 ft0NoNoN/AYesYes22024-08-23FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien NHL
Klim KostinBruins (BOS)LW/RW251999-05-05RUSNo215 Lbs6 ft3NoNoTrade2024-07-04NoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Marc McLaughlinBruins (BOS)C261998-07-26USANo205 Lbs6 ft0NoNoTrade2024-07-01NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Mason LohreiBruins (BOS)D242000-01-17USAYes211 Lbs6 ft5NoNoProspectNoNo12024-08-23FalseFalsePro & Farm1,050,000$0$0$No---------------------------
Matt RempeBruins (BOS)C/RW232001-06-29CANNo207 Lbs6 ft7NoNoAssign ManuallyNoNo22024-02-25FalseFalsePro & Farm820,000$0$0$No820,000$--------820,000$--------No--------
Nikita NesterenkoBruins (BOS)C/LW242000-09-10USANo194 Lbs6 ft2NoNoAssign ManuallyNoNo32024-11-11FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Noah GregorBruins (BOS)LW/RW271997-07-28CANNo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien NHL
Olen ZellwegerBruins (BOS)D222002-09-10CANYes182 Lbs5 ft9NoNoProspectNoNo32024-08-23FalseFalsePro & Farm871,667$0$0$No871,667$871,667$-------871,667$871,667$-------NoNo-------
Robin SaloBruins (BOS)D271997-10-13FINNo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Scott ReedyBruins (BOS)C261998-04-04USANo214 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Tomas NosekBruins (BOS)C/LW331991-09-01CZENo205 Lbs6 ft3NoNoN/AYesYes12024-08-23FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien NHL
Tristen NielsenBruins (BOS)C251999-02-23CANNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Yaroslav AskarovBruins (BOS)G232001-06-16RUSNo187 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,775,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.86197 Lbs6 ft21.791,060,476$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan HollowayJohn BeecherNoah Gregor28122
2Klim KostinTomas NosekJakub Lauko28122
3Jiri KulichJohn FarinacciGeorgi Merkulov26122
4Arshdeep BainsNikita NesterenkoFabian Lysell18122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinKevin Shattenkirk40122
2Andrew PeekeMason Lohrei30122
3Olen ZellwegerBrandt Clarke20122
4Ilya LyubushkinKevin Shattenkirk10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah GregorJohn BeecherJakub Lauko60005
2Dylan HollowayTomas NosekKlim Kostin40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinKevin Shattenkirk60005
2Andrew PeekeMason Lohrei40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John BeecherNoah Gregor60041
2Tomas NosekKlim Kostin40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinKevin Shattenkirk60041
2Andrew PeekeMason Lohrei40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1John Beecher60050Ilya LyubushkinKevin Shattenkirk60050
2Tomas Nosek40050Andrew PeekeMason Lohrei40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1John BeecherNoah Gregor60014
2Tomas NosekKlim Kostin40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinKevin Shattenkirk60050
2Andrew PeekeMason Lohrei40050
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noah GregorJohn BeecherJakub LaukoIlya LyubushkinKevin Shattenkirk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noah GregorJohn BeecherJakub LaukoIlya LyubushkinKevin Shattenkirk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Holloway, Klim Kostin, Arshdeep BainsDylan Holloway, Klim KostinDylan Holloway
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Lohrei, Olen Zellweger, Brandt ClarkeMason LohreiMason Lohrei, Olen Zellweger
Tirs de pénalité
Noah Gregor, John Beecher, Jakub Lauko, Tomas Nosek, Dylan Holloway
Gardien
#1 : James Reimer, #2 : Ivan Prosvetov
Lignes d’attaque personnalisées en prolongation
Noah Gregor, John Beecher, Jakub Lauko, Tomas Nosek, Dylan Holloway, Klim Kostin, Klim Kostin, Arshdeep Bains, Fabian Lysell, Nikita Nesterenko, Jiri Kulich
Lignes de défense personnalisées en prolongation
Ilya Lyubushkin, Kevin Shattenkirk, Andrew Peeke, Mason Lohrei, Olen Zellweger


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
1Condors2110000067-1000000000002110000067-120.500612180011119259115116112650916375240.00%7271.43%023641057.56%21638356.40%9216755.09%3082142649215679
2Crunch20101000770100010004311010000034-120.5007121900111192391151161126521018518337.50%9277.78%023641057.56%21638356.40%9216755.09%3082142649215679
3Gulls11000000321110000003210000000000021.00036900111192211151161126147142111100.00%7271.43%023641057.56%21638356.40%9216755.09%3082142649215679
4Manitoba Moose11000000321000000000001100000032121.0003690011119230115116112620108197114.29%4175.00%023641057.56%21638356.40%9216755.09%3082142649215679
5Senators11000000431110000004310000000000021.00048120011119227115116112623310197228.57%5180.00%123641057.56%21638356.40%9216755.09%3082142649215679
6Silver Knights2010000135-22010000135-20000000000010.25036900111192631151161126661016439222.22%8275.00%023641057.56%21638356.40%9216755.09%3082142649215679
7Wolf Pack11000000312000000000001100000031221.000369001111922911511611262048285240.00%4175.00%023641057.56%21638356.40%9216755.09%3082142649215679
8Wolves211000003301010000002-21100000031220.50034700111192781151161126461525441516.67%5260.00%023641057.56%21638356.40%9216755.09%3082142649215679
Total12640100132302622010011415-16420000018153150.62532609200111192346115116112629168115262571424.56%491373.47%123641057.56%21638356.40%9216755.09%3082142649215679
_Since Last GM Reset12640100132302622010011415-16420000018153150.62532609200111192346115116112629168115262571424.56%491373.47%123641057.56%21638356.40%9216755.09%3082142649215679
_Vs Conference723010011920-13010100178-1422000001212070.500193655001111921901151161126188335815927933.33%28775.00%023641057.56%21638356.40%9216755.09%3082142649215679
_Vs Division723010011920-13010100178-1422000001212070.500193655001111921901151161126188335815927933.33%28775.00%023641057.56%21638356.40%9216755.09%3082142649215679

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1215W23260923462916811526200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
126410013230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
62210011415
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
64200001815
Derniers 10 matchs
WLOTWOTL SOWSOL
621001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
571424.56%491373.47%1
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
1151161126111192
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
23641057.56%21638356.40%9216755.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3082142649215679


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
3 - 2024-12-225Bruins1Condors4LSommaire du match
5 - 2024-12-2420Silver Knights3Bruins2LSommaire du match
7 - 2024-12-2631Senators3Bruins4WSommaire du match
8 - 2024-12-2742Bruins3Manitoba Moose2WSommaire du match
10 - 2024-12-2952Bruins3Crunch4LSommaire du match
12 - 2024-12-3166Crunch3Bruins4WXSommaire du match
14 - 2025-01-0280Silver Knights2Bruins1LXXSommaire du match
16 - 2025-01-0485Bruins3Wolves1WSommaire du match
19 - 2025-01-07104Bruins3Wolf Pack1WSommaire du match
20 - 2025-01-08117Wolves2Bruins0LSommaire du match
22 - 2025-01-10127Bruins5Condors3WSommaire du match
24 - 2025-01-12137Gulls2Bruins3WSommaire du match
26 - 2025-01-14150Wolf Pack-Bruins-
28 - 2025-01-16158Bruins-Rocket-
30 - 2025-01-18176Bruins-Comets-
32 - 2025-01-20183Griffins-Bruins-
34 - 2025-01-22196Wranglers-Bruins-
35 - 2025-01-23208Bruins-Americans-
37 - 2025-01-25219Bruins-Senators-
39 - 2025-01-27227Americans-Bruins-
41 - 2025-01-29245Bruins-Silver Knights-
43 - 2025-01-31251Bruins-Checkers-
45 - 2025-02-02264Senators-Bruins-
47 - 2025-02-04279Silver Knights-Bruins-
50 - 2025-02-07294Comets-Bruins-
52 - 2025-02-09310Bruins-Crunch-
53 - 2025-02-10319IceHogs-Bruins-
55 - 2025-02-12330Bruins-Wranglers-
56 - 2025-02-13341Bruins-Eagles-
58 - 2025-02-15353Wranglers-Bruins-
60 - 2025-02-17366Checkers-Bruins-
62 - 2025-02-19379Bruins-Comets-
64 - 2025-02-21389Bruins-Admirals-
66 - 2025-02-23400Bruins-Marlies-
67 - 2025-02-24409Wolf Pack-Bruins-
69 - 2025-02-26427Admirals-Bruins-
71 - 2025-02-28439Marlies-Bruins-
73 - 2025-03-02448Bruins-Stars-
75 - 2025-03-04460Bruins-Condors-
76 - 2025-03-05473Bruins-Gulls-
78 - 2025-03-07483Gulls-Bruins-
80 - 2025-03-09498Bruins-Admirals-
81 - 2025-03-10505Manitoba Moose-Bruins-
83 - 2025-03-12522Eagles-Bruins-
85 - 2025-03-14532Bruins-Penguins-
86 - 2025-03-15546Eagles-Bruins-
88 - 2025-03-17555Bruins-Firebirds-
89 - 2025-03-18567Stars-Bruins-
91 - 2025-03-20580Bruins-Checkers-
92 - 2025-03-21589Bruins-Manitoba Moose-
94 - 2025-03-23602Firebirds-Bruins-
96 - 2025-03-25614Bruins-Griffins-
97 - 2025-03-26623Americans-Bruins-
99 - 2025-03-28636Bruins-Wolves-
101 - 2025-03-30646Gulls-Bruins-
102 - 2025-03-31662Crunch-Bruins-
104 - 2025-04-02678Rocket-Bruins-
105 - 2025-04-03681Bruins-IceHogs-
108 - 2025-04-06701Bruins-Griffins-
109 - 2025-04-07710Penguins-Bruins-
111 - 2025-04-09725Griffins-Bruins-
112 - 2025-04-10734Bruins-Monsters-
113 - 2025-04-11740Bruins-Wolves-
116 - 2025-04-14760Reign-Bruins-
117 - 2025-04-15772Griffins-Bruins-
119 - 2025-04-17784Bruins-Silver Knights-
121 - 2025-04-19799Crunch-Bruins-
123 - 2025-04-21813Bruins-Penguins-
124 - 2025-04-22825Bruins-Marlies-
126 - 2025-04-24835Stars-Bruins-
128 - 2025-04-26850Firebirds-Bruins-
129 - 2025-04-27857Bruins-Reign-
132 - 2025-04-30874Monsters-Bruins-
133 - 2025-05-01887Bruins-IceHogs-
134 - 2025-05-02898Monsters-Bruins-
137 - 2025-05-05918Reign-Bruins-
138 - 2025-05-06926Bruins-Reign-
141 - 2025-05-09943Condors-Bruins-
142 - 2025-05-10955Bruins-Wolf Pack-
144 - 2025-05-12965Condors-Bruins-
146 - 2025-05-14972Bruins-Rocket-
147 - 2025-05-15980Bruins-Wolf Pack-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 29,693,336$ 29,693,336$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 123 205,698$ 25,300,854$




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