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Bruins
GP: 86 | W: 49 | L: 25 | OTL: 12 | P: 110
GF: 186 | GA: 172 | PP%: 29.26% | PK%: 67.35%
DG: Tom Anderson | Morale : 69 | Moyenne d’équipe : 62

Centre de jeu
Wolf Pack
31-41-14, 76pts
3
4 Bruins
49-25-12, 110pts
Team Stats
W1SéquenceOTL1
16-24-3Fiche domicile23-12-8
15-17-11Fiche domicile26-13-4
1-7-2Derniers 10 matchs6-2-2
1.95Buts par match 2.16
2.97Buts contre par match 2.00
25.00%Pourcentage en avantage numérique29.26%
70.49%Pourcentage en désavantage numérique67.35%
Wolf Pack
31-41-14, 76pts
1
0 Bruins
49-25-12, 110pts
Team Stats
W1SéquenceOTL1
16-24-3Fiche domicile23-12-8
15-17-11Fiche domicile26-13-4
1-7-2Derniers 10 matchs6-2-2
1.95Buts par match 2.16
2.97Buts contre par match 2.00
25.00%Pourcentage en avantage numérique29.26%
70.49%Pourcentage en désavantage numérique67.35%
Meneurs d'équipe
Anthony DuclairButs
Anthony Duclair
29
Taylor RaddyshPasses
Taylor Raddysh
41
Taylor RaddyshPoints
Taylor Raddysh
66
Jeff PetryPlus/Moins
Jeff Petry
5
David RittichVictoires
David Rittich
49
David RittichPourcentage d’arrêts
David Rittich
0.89

Statistiques d’équipe
Buts pour
186
2.16 GFG
Tirs pour
1223
14.22 Avg
Pourcentage en avantage numérique
29.3%
55 GF
Début de zone offensive
37.7%
Buts contre
172
2.00 GAA
Tirs contre
1512
17.58 Avg
Pourcentage en désavantage numérique
67.3%%
16 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralTom Anderson
EntraîneurAndrew Brewer
DivisionDivision 1
ConférenceConference 1
CapitaineAlexander Holtz
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,961
Billets de saison1,500


Informations de la formation

Équipe Pro36
Équipe Mineure19
Limite contact 55 / 100
Espoirs51


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
1Zack Bolduc (R)XX100.0080548683716393693469766225585872806802331,500,000$
2Taylor RaddyshX100.0069439483766297693273636425696964816802832,000,000$
3Anthony DuclairX100.00674294877369627325627257427880658267X03032,000,000$
4Robby FabbriXXX100.0079438772677362695467737035737568816703032,000,000$
5Thomas NovakX100.0056409878666471675562755775666766776502932,000,000$
6Noah GregorXXX100.0084688582745869595455576975697061806402732,000,000$
7Nathan BastianXX100.0089578572795776613560596925686962826402821,010,000$
8Nikita AlexandrovXXX100.0073688869686564678065676365474765646302521,135,000$
9Alexander Holtz (C)XX100.0068429581745986633263605825636361806302421,186,000$
10Matthew HighmoreXX100.007743937867588157345856702565666277620302750,000$
11Cam AtkinsonXX100.0063559174615259623460586261818361276103712,890,000$
12Jeff PetryX100.00774489827576626225554880258890597471X03823,000,000$
13Olli MaattaX100.00594293717678966025534781258286618170X03132,000,000$
14Ryan GravesX100.0077558671846578622547478425737559806903152,500,000$
15Vincent DesharnaisX100.0083867673896868602546497825646657806803021,000,000$
16TJ BrodieX100.00604191747067716225515171258891578066X03632,000,000$
17Denton Mateychuk (R)X100.0065428875697589632551497725515161816602131,615,000$
18Darren RaddyshX100.0064429473747290702565486225646461806503032,000,000$
Rayé
1Dylan Duke (R)X100.0068637870637579615057615958444462206002331,306,000$
2Kasper Halttunen (R)XXX100.0081788980783833627857636760444464205902131,326,000$
3Francesco PinelliX100.007370816670565656705058625544445920560233952,000$
4Maxim GroshevX100.0078738864736671505046486346444456205502431,181,000$
5Jaydon Dureau (R)X100.0072658861653937495046465944444452205002500$
6Ayrton Martino (R)X100.0072678580673432445038445842444450205002331,442,000$
7Erik GudbransonX100.00804689748474436125594886258284613770X03432,000,000$
8Cale FleuryX100.0084459968746069582544467525565658746402731,476,000$
9Cam DineenX100.0073679068677580582553486247494859546102731,526,000$
10Maxwell Crozier (R)X100.007074616974707359255152614945465919600261867,500$
11Isaak PhillipsX100.0075776967777886482538416239505053206002421,392,000$
12Cameron Crotty (R)X100.0072707567707381462537395937444452205702721,093,000$
13Ty Gallagher (R)X100.0075708862705353532549426240444454205602331,276,000$
14Michael KarowX100.0076767563765356462537396137444450205502731,102,000$
15Jordan Sambrook (R)X100.0083769980763331412528396337444450205502831,408,000$
MOYENNE D’ÉQUIPE100.00735887737362685937535466396060595462
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
1David Rittich100.0061646484646475697262836768619068X03312,004,000$
2Joel Blomqvist (R)100.00595453806553706165597545456081600242886,667$
Rayé
1Parker Gahagen100.005840507963596165646330444459465903311,000,000$
MOYENNE D’ÉQUIPE100.0059535681645969656761635252607262
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brewer40404040404040CAN3412,500,000$


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
1Taylor RaddyshBruins (BOS)RW86254166-1755109134146479617.12%27185421.56917262914600031510336.34%12772930000.7119100862
2Anthony DuclairBruins (BOS)LW86292958-28208694148549319.59%18181621.12131427351481013158141.54%654023100.6423000938
3Robby FabbriBruins (BOS)C/LW/RW86253358-11180155123140368017.86%28187121.7651015191460001124449.55%3313026000.6203000398
4Alexander HoltzBruins (BOS)LW/RW86212344-84066107134357915.67%13162918.957916221210004382135.19%542017000.5405000452
5Nathan BastianBruins (BOS)LW/RW86201434-6342018412492295121.74%33179220.84437131200000336138.89%1261613000.3814004532
6Vince DunnBruinsD414242837201044405622237.14%2379619.443366109000216100%01426000.7001110010
7Ryan GravesBruins (BOS)D8632528-1238201251529337363.23%109214824.981235109011028000%01862000.2600211022
8TJ BrodieBruins (BOS)D8661824-8115591337129288.45%90211524.6033651030000360050.00%62153200.2300010112
9Thomas NovakBruins (BOS)C8415924-1100309184385317.86%14128415.304481042000033149.02%4101815000.3737000131
10Jeff PetryBruins (BOS)D663202356091944417236.82%36139221.10268111160000190050.00%21124100.3300000203
11Zack BolducBruins (BOS)LW/RW6491423320696343112820.93%993914.68336733000003031.25%1921310000.4900000052
12Noah GregorBruins (BOS)C/LW/RW858917-515513011265224512.31%23150117.660001220002162151.88%1601525000.2333001224
13Nikita AlexandrovBruins (BOS)C/LW/RW7741317-22060574419239.09%891111.84134230000001062.98%208137000.3702000112
14Vincent DesharnaisBruins (BOS)D8341317-25342017211240151410.00%45180021.692798148000121010%0944000.1900103201
15Matthew HighmoreBruins (BOS)C/RW72336-82091922541312.00%9112615.65112425000031041.46%82513000.1116000012
16Darren RaddyshBruins (BOS)D84145-200366912478.33%11124214.79000070000200044.44%9813000.0800000011
17Erik GudbransonBruins (BOS)D62134-900274511889.09%145358.6302214300004000%0614100.1500000001
18Andrew PeekeBruinsD5033155535100%27014.070110900000000%011000.8500100000
19Cam AtkinsonBruins (BOS)LW/RW27112000201152220.00%430111.1600009000001050.00%203000.1300000100
20Denton MateychukBruins (BOS)D86022-40030526140%98279.620000800004000%468000.0500000000
21Nick JensenBruinsD8022-7009112020%315719.7201111500000000%017000.2500000000
22Dylan DukeBruins (BOS)LW1000-100000000%055.230000000000000%00000000000000
23Brandon MontourBruinsD1000000004100%01515.770000000000000%00000000000000
24Francesco PinelliBruins (BOS)C1000000200000%01414.170000000000000%00000000000000
25Cale FleuryBruins (BOS)D7800052026125020%12793.580000000000000%31300000000000
26Cam DineenBruins (BOS)D570003001230110%01001.7700000000000050.00%20200000000000
27Olli MaattaBruins (BOS)D780000005124320%61832.350000300001000%01200000000000
Statistiques d’équipe totales ou en moyenne1662182303485-1102009016431746127943671314.23%5352671316.075889147179152111216296421342.35%2933296441500.361143639394343
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
1David RittichBruins (BOS)864924120.8901.8750960171591452833430.86043860673
2Joel BlomqvistBruins (BOS)50100.8773.4212300757300000086000
Statistiques d’équipe totales ou en moyenne914925120.8901.915220017166150986343438686673


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 Salaire restantPlafond 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
Alexander HoltzBruins (BOS)LW/RW242002-01-23SWENo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,186,000$0$0$No1,186,000$--------1,186,000$--------No--------Lien
Anthony DuclairBruins (BOS)LW301995-08-26CANNo200 Lbs6 ft0NoYesAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Ayrton MartinoBruins (BOS)LW232002-09-28ONYes186 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,442,000$0$0$No1,442,000$1,442,000$-------1,442,000$1,442,000$-------NoNo-------Lien
Cale FleuryBruins (BOS)D271998-11-19CANNo204 Lbs6 ft1NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,476,000$0$0$No1,476,000$1,476,000$-------1,476,000$1,476,000$-------NoNo-------Lien / Lien NHL
Cam AtkinsonBruins (BOS)LW/RW371989-06-05USANo178 Lbs5 ft8NoNoWaiverNoNo1FalseFalsePro & Farm2,890,000$0$0$No---------------------------Lien
Cam DineenBruins (BOS)D271998-06-19USANo188 Lbs5 ft11NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,526,000$0$0$No1,526,000$1,526,000$-------1,526,000$1,526,000$-------NoNo-------Lien / Lien NHL
Cameron CrottyBruins (BOS)D271999-05-05CANYes182 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,093,000$0$0$No1,093,000$--------1,093,000$--------No--------Lien
Darren RaddyshBruins (BOS)D301996-02-28CANNo202 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
David RittichBruins (BOS)G331992-08-19CZENo205 Lbs6 ft4YesYesN/ANoNo1FalseFalsePro & Farm2,004,000$0$0$No---------------------------Lien / Lien NHL
Denton MateychukBruins (BOS)D212004-07-12CANYes185 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,615,000$0$0$No1,615,000$1,615,000$-------1,615,000$1,615,000$-------NoNo-------Lien
Dylan DukeBruins (BOS)LW232003-03-04USAYes177 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,306,000$0$0$No1,306,000$1,306,000$-------1,306,000$1,306,000$-------NoNo-------Lien
Erik GudbransonBruins (BOS)D341992-01-07CANNo222 Lbs6 ft5NoYesAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Francesco PinelliBruins (BOS)C232003-04-11ONTNo190 Lbs6 ft0NoNoN/ANoNo32025-04-30FalseFalsePro & Farm952,000$0$0$No952,000$952,000$-------952,000$952,000$-------NoNo-------Lien
Isaak PhillipsBruins (BOS)D242001-09-28CANNo205 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,392,000$0$0$No1,392,000$--------1,392,000$--------No--------Lien
Jaydon DureauBruins (BOS)LW252001-01-20SKYes176 Lbs6 ft0NoNoDraftNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Jeff PetryBruins (BOS)D381987-12-09USANo208 Lbs6 ft3NoYesAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm3,000,000$0$0$No3,000,000$--------3,000,000$--------No--------Lien / Lien NHL
Joel BlomqvistBruins (BOS)G242002-01-10FINYes200 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Lien
Jordan SambrookBruins (BOS)D281998-04-11CANYes205 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,408,000$0$0$No1,408,000$1,408,000$-------1,408,000$1,408,000$-------NoNo-------Lien
Kasper HalttunenBruins (BOS)C/LW/RW212005-06-07FINYes205 Lbs6 ft4NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,326,000$0$0$No1,326,000$1,326,000$-------1,326,000$1,326,000$-------NoNo-------Lien
Matthew HighmoreBruins (BOS)C/RW301996-02-27CANNo186 Lbs5 ft11NoNoFree AgentNoNo22024-10-17FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Maxim GroshevBruins (BOS)RW242001-12-14RUSNo198 Lbs6 ft2NoNoN/ANoNo32025-04-30FalseFalsePro & Farm1,181,000$0$0$No1,073,000$966,000$-------1,073,000$1,073,000$-------NoNo-------Lien
Maxwell CrozierBruins (BOS)D262000-04-19CANYes198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm867,500$0$0$No---------------------------Lien
Michael KarowBruins (BOS)D271998-12-18USANo209 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,102,000$0$0$No1,102,000$1,102,000$-------1,102,000$1,102,000$-------NoNo-------Lien
Nathan BastianBruins (BOS)LW/RW281997-12-06CANNo205 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,010,000$0$0$No1,010,000$--------750,000$--------No--------Lien / Lien NHL
Nikita AlexandrovBruins (BOS)C/LW/RW252000-09-16GERNo188 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,135,000$0$0$No1,135,000$--------1,135,000$--------No--------Lien
Noah GregorBruins (BOS)C/LW/RW271998-07-28CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-05FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Olli MaattaBruins (BOS)D311994-08-22FINNo207 Lbs6 ft2NoYesAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Parker GahagenBruins (BOS)G331993-05-17USANo195 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-14FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Robby FabbriBruins (BOS)C/LW/RW301996-01-22CANNo185 Lbs5 ft11NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Ryan GravesBruins (BOS)D311995-05-21CANNo222 Lbs6 ft5NoNoFree AgentNoNo52025-11-18FalseFalsePro & Farm2,500,000$0$0$No2,500,000$2,500,000$2,500,000$2,500,000$-----2,500,000$2,500,000$2,500,000$2,500,000$-----NoNoNoNo-----Lien / Lien NHL
TJ BrodieBruins (BOS)D361990-06-07CANNo187 Lbs6 ft2NoYesAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Taylor RaddyshBruins (BOS)RW281998-02-18CANNo200 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-05FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Thomas NovakBruins (BOS)C291997-04-28USANo179 Lbs6 ft1NoNoAssign Manually2025-01-29NoNo32025-11-06FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Ty GallagherBruins (BOS)D232003-03-06USAYes192 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,276,000$0$0$No1,276,000$1,276,000$-------1,276,000$1,276,000$-------NoNo-------Lien
Vincent DesharnaisBruins (BOS)D301996-05-29CANNo226 Lbs6 ft7NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Zack BolducBruins (BOS)LW/RW232003-02-24CANYes187 Lbs6 ft0NoNoFree AgentNoNo32026-02-03FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3627.78197 Lbs6 ft12.501,522,894$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Robby FabbriTaylor RaddyshAnthony Duclair40023
2Noah GregorZack BolducNathan Bastian30023
3Alexander HoltzRobby FabbriNathan Bastian20122
4Zack BolducTaylor RaddyshAlexander Holtz10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryTJ Brodie37122
2Vincent DesharnaisRyan Graves33131
3TJ BrodieRyan Graves30023
4Vincent DesharnaisRyan Graves0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony DuclairTaylor RaddyshRobby Fabbri60014
2Alexander HoltzZack BolducNathan Bastian40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryVincent Desharnais60023
2Ryan GravesTJ Brodie40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nathan BastianAlexander Holtz60050
2Robby FabbriTaylor Raddysh40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan GravesTJ Brodie60050
2Jeff PetryVincent Desharnais40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan Bastian60050Jeff PetryVincent Desharnais60050
2Anthony Duclair40050Ryan GravesTJ Brodie40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nathan BastianTaylor Raddysh60122
2Anthony DuclairRobby Fabbri40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent DesharnaisRyan Graves60122
2Olli MaattaTJ Brodie40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony DuclairTaylor RaddyshRobby FabbriJeff PetryRyan Graves
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony DuclairTaylor RaddyshRobby FabbriJeff PetryRyan Graves
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Bastian, Taylor Raddysh, Alexander HoltzNathan Bastian, Taylor RaddyshNathan Bastian
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Graves, Vincent Desharnais, TJ BrodieRyan GravesTJ Brodie, Ryan Graves
Tirs de pénalité
Robby Fabbri, Taylor Raddysh, Anthony Duclair, Alexander Holtz, Nathan Bastian
Gardien
#1 : David Rittich, #2 : Joel Blomqvist


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
1Admirals2010010014-31000010001-11010000013-210.250123103757771821271416512661867374125.00%10100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
2Americans22000000413110000002021100000021141.0004590137577718302714165126640174275240.00%20100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
3Barracuda210001003301000010012-11100000021130.7503580037577718102714165126644130282150.00%000%0472108843.38%441102942.86%32976842.84%1511519146991122421185
4Bears2010010013-21000010001-11010000012-110.250112003757771812271416512663670253133.33%000%0472108843.38%441102942.86%32976842.84%1511519146991122421185
5Canucks531010001477210010005143210000096380.8001425390237577718642714165126656251910712541.67%20100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
6Checkers21100000440110000003121010000013-220.50048120037577718402714165126641130356350.00%000%0472108843.38%441102942.86%32976842.84%1511519146991122421185
7Comets32100000532110000002112110000032140.66756110137577718482714165126635102525480.00%10100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
8Condors50500000413-930300000410-62020000003-300.00048121037577718612714165126687397951500.00%110.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
9Crunch541000001477220000007253210000075280.800142135033757771884271416512665618198714642.86%6350.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
10Eagles21001000743100010004311100000031241.00079160037577718362714165126631146424125.00%3233.33%0472108843.38%441102942.86%32976842.84%1511519146991122421185
11Griffins2110000035-2110000002021010000015-420.5003580137577718322714165126630114254125.00%2150.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
12Gulls520001021091210000014313100010166070.700101727003757771876271416512665813148312325.00%220.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
13Heat2110000045-1110000001011010000035-220.50048120137577718212714165126635115302150.00%000%0472108843.38%441102942.86%32976842.84%1511519146991122421185
14IceHogs30000120651200001104401000001021150.833671300375777183727141651266361725711100.00%10100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
15Islanders210000101055100000104311100000062441.0001014240037577718492714165126663256506350.00%30100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
16Marlies2010010002-21010000001-11000010001-110.25000000375777182227141651266184039200.00%000%0472108843.38%441102942.86%32976842.84%1511519146991122421185
17Monsters22000000303110000002021100000010141.000336023757771823271416512661910040200.00%000%0472108843.38%441102942.86%32976842.84%1511519146991122421185
18Moose210001001101000010001-11100000010130.75011201375777181127141651266212245300.00%10100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
19Penguins21000010514110000003031000001021141.0005712013757771832271416512661772492150.00%10100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
20Phantoms321000009721010000024-22200000073440.667913220137577718422714165126644147509222.22%10100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
21Reign22000000633110000003121100000032141.00069150037577718432714165126652192326350.00%110.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
22Roadrunners312000001013-31010000035-22110000078-120.333101626103757771856271416512661213414748225.00%2150.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
23Rocket20001010642100010002111000001043141.0006814003757771819271416512661952382150.00%110.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
24Senators301010105502010100034-11000001021140.66757120037577718442714165126662390574125.00%000%0472108843.38%441102942.86%32976842.84%1511519146991122421185
25Silver Knights53001010178933000000114720001010642101.000172138013757771866271416512665719209710220.00%50100.00%1472108843.38%441102942.86%32976842.84%1511519146991122421185
26Stars201010005501010000023-11000100032120.5005914003757771832271416512664684377114.29%2150.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
27Thunderbirds20100001512-71000000112-110100000410-610.25057120037577718412714165126684336394125.00%3233.33%0472108843.38%441102942.86%32976842.84%1511519146991122421185
28Wild504001001022-1230300000615-92010010047-310.10010152500375777189727141651266211481210314428.57%10100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
29Wolf Pack52101100101003010110057-22200000053270.700101727003757771858271416512665821108815426.67%5180.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
30Wolves21000010413100000102111100000020241.000459013757771816271416512661710431500.00%20100.00%0472108843.38%441102942.86%32976842.84%1511519146991122421185
Total8634250798318617214431512056328881743191302351989171100.64018627946531637577718122327141651266151251218015991885529.26%491667.35%1472108843.38%441102942.86%32976842.84%1511519146991122421185
_Since Last GM Reset8634250798318617214431512056328881743191302351989171100.64018627946531637577718122327141651266151251218015991885529.26%491667.35%1472108843.38%441102942.86%32976842.84%1511519146991122421185
_Vs Conference522014055621119714279804321585532511601241534211690.66311116527611037577718703271416512668152871119631133228.32%27870.37%1472108843.38%441102942.86%32976842.84%1511519146991122421185
_Vs Division261412033125848101377021012921813750121129272410.788589315114375777183412714165126638913967472591525.42%11463.64%1472108843.38%441102942.86%32976842.84%1511519146991122421185

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
86110OTL1186279465122315125121801599316
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8634257983186172
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
43151256328881
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
43191323519891
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1885529.26%491667.35%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
2714165126637577718
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
472108843.38%441102942.86%32976842.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1511519146991122421185


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
13Wolf Pack3Bruins1LSommaire du match
225IceHogs2Bruins1LXSommaire du match
444Bruins1Comets2LSommaire du match
558Bruins4Gulls2WSommaire du match
768Bruins6Canucks2WSommaire du match
884Condors5Bruins3LSommaire du match
998Wild4Bruins2LSommaire du match
10111Bruins4Roadrunners7LSommaire du match
11117Bruins2Crunch0WSommaire du match
13146Silver Knights3Bruins5WSommaire du match
14164Bruins1Canucks4LSommaire du match
15173Bruins5Phantoms3WSommaire du match
16181Wild5Bruins3LSommaire du match
17207Bruins2IceHogs1WXXSommaire du match
18215Crunch0Bruins4WSommaire du match
19230Bruins1Gulls2LXXSommaire du match
20244Silver Knights1Bruins3WSommaire du match
22260Bruins2Crunch0WSommaire du match
24276Phantoms4Bruins2LSommaire du match
25290Bruins2Senators1WXXSommaire du match
26306Bruins2Canucks0WSommaire du match
27310Islanders3Bruins4WXXSommaire du match
29338Bruins4Rocket3WXXSommaire du match
30350Marlies1Bruins0LSommaire du match
31367Griffins0Bruins2WSommaire du match
32390Americans0Bruins2WSommaire du match
33402Bruins3Eagles1WSommaire du match
34418Eagles3Bruins4WXSommaire du match
35434Bruins1Moose0WSommaire du match
36445Bruins2Phantoms0WSommaire du match
37460Crunch2Bruins3WSommaire du match
39477Bruins0Marlies1LXSommaire du match
40489IceHogs2Bruins3WXXSommaire du match
41509Bruins1Bears2LSommaire du match
42519Bruins0Condors2LSommaire du match
43529Barracuda2Bruins1LXSommaire du match
44552Checkers1Bruins3WSommaire du match
45569Bruins4Thunderbirds10LSommaire du match
46581Wolves1Bruins2WXXSommaire du match
47599Bruins1Checkers3LSommaire du match
48613Silver Knights0Bruins3WSommaire du match
49628Bruins1Monsters0WSommaire du match
50644Moose1Bruins0LXSommaire du match
51660Bruins3Reign2WSommaire du match
53674Monsters0Bruins2WSommaire du match
54692Bruins3Crunch5LSommaire du match
55706Bruins0Condors1LSommaire du match
56714Wild6Bruins1LSommaire du match
58737Bears1Bruins0LXSommaire du match
59752Bruins2Wolves0WSommaire du match
60766Comets1Bruins2WSommaire du match
61782Bruins3Silver Knights2WXSommaire du match
63799Gulls2Bruins4WSommaire du match
64810Bruins1Griffins5LSommaire du match
65826Bruins2Americans1WSommaire du match
66836Thunderbirds2Bruins1LXXSommaire du match
68861Admirals1Bruins0LXSommaire du match
69875Bruins6Islanders2WSommaire du match
70882Bruins1Wild3LSommaire du match
71899Roadrunners5Bruins3LSommaire du match
73916Bruins3Stars2WXSommaire du match
74929Stars3Bruins2LSommaire du match
76948Bruins1Gulls2LXSommaire du match
77961Senators2Bruins3WXSommaire du match
79980Bruins3Roadrunners1WSommaire du match
80992Reign1Bruins3WSommaire du match
811009Bruins2Comets0WSommaire du match
821022Penguins0Bruins3WSommaire du match
841037Bruins3Wild4LXSommaire du match
851053Canucks0Bruins1WXSommaire du match
861069Bruins2Wolf Pack1WSommaire du match
881084Condors3Bruins1LSommaire du match
891103Bruins1Admirals3LSommaire du match
901110Bruins3Heat5LSommaire du match
911122Heat0Bruins1WSommaire du match
931147Canucks1Bruins4WSommaire du match
941163Bruins2Penguins1WXXSommaire du match
961177Senators2Bruins0LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971190Bruins3Silver Knights2WXXSommaire du match
981206Condors2Bruins0LSommaire du match
991222Bruins3Wolf Pack2WSommaire du match
1001232Bruins2Barracuda1WSommaire du match
1011240Gulls1Bruins0LXXSommaire du match
1041268Rocket1Bruins2WXSommaire du match
1071297Wolf Pack3Bruins4WXSommaire du match
1101327Wolf Pack1Bruins0LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2010
Assistance85,00342,328
Assistance PCT98.84%98.44%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2961 - 98.71% 73,576$3,163,776$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
7,854,574$ 5,482,416$ 5,482,416$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
48,950$ 5,354,535$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 71,272$ 0$




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