Bruins
GP: 5 | W: 1 | L: 4
GF: 11 | GA: 22 | PP%: 29.41% | PK%: 68.42%
DG: Kevin Parisien | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Bruins
1-4-0, 2pts
1
FINAL
5 Senators
6-5-0, 12pts
Team Stats
L3StreakL1
1-2-0Home Record2-3-0
0-2-0Away Record4-2-0
1-4-0Last 10 Games5-4-1
2.20Buts par match 3.45
4.40Buts contre par match 2.91
29.41%Pourcentage en avantage numérique22.50%
68.42%Pourcentage en désavantage numérique78.05%
Senators
6-5-0, 12pts
5
FINAL
2 Bruins
1-4-0, 2pts
Team Stats
L1StreakL3
2-3-0Home Record1-2-0
4-2-0Away Record0-2-0
5-4-1Last 10 Games1-4-0
3.45Buts par match 2.20
2.91Buts contre par match 4.40
22.50%Pourcentage en avantage numérique29.41%
78.05%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Ryan FantiVictoires
Ryan Fanti
1
Connor D. MurphyPourcentage d’arrêts
Connor D. Murphy
0.9

Statistiques d’équipe
Buts pour
11
2.20 GFG
Tirs pour
150
30.00 Avg
Pourcentage en avantage numérique
29.4%
5 GF
Début de zone offensive
38.6%
Buts contre
22
4.40 GAA
Tirs contre
169
33.80 Avg
Pourcentage en désavantage numérique
68.4%
6 GA
Début de la zone défensive
42.8%
Information d’équipe

Directeur généralKevin Parisien
EntraîneurDave Lowry
DivisionNorth Division
ConférenceEastern Conference
CapitaineCurtis McKenzie
Assistant #1Kyle Clifford
Assistant #2Spencer Smallman


Informations de l’aréna

Capacité3,000
Assistance2,125
Billets de saison300


Information formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 80
Espoirs29


Historique d'équipe

Saison actuelle1-4
Historique103-51-9 (0.632%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)10-14
Stanley Cup0


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 moyen
1Mark Kastelic (R)47XX100.00847763679274836384626164596766075650261999,999$
2Georgii Merkulov (R)42XXX100.00593691666883856474656261636567075640241950,000$
3Kyle MacLean (R)12XX100.00724089647677906373626065616668075640262850,000$
4Brendan Brisson (R)0XXX100.00653979667481866367646160626466075630231950,000$
5Curtis McKenzie (C)0X100.00724372608180845863605961587479075630341775,000$
6Cole Schwindt (R)79XX100.00703891628180826377625964616566075630241775,000$
7Kyle Clifford (A)0X100.00758650608477725862596057567476075620341775,000$
8Jason Polin (R)0X100.00673788597476775664575958566568075610262950,000$
9Spencer Smallman (A)0X100.00684174597775815863605756626971075610291775,000$
10Danila Klimovich (R)46X100.00724273608190765957556158636264075610221850,000$
11Ben McCartney (R)62X100.00624265607180815962605957586466075600241850,000$
12Bryce McConnell-Barker (R)0X100.00673984577667725659545558546163075590213950,000$
13Jake Christiansen (R)32X100.00673990647487886530675863516668075640262928,600$
14Ilya Solovyov (R)80X100.00744081648582836230665868506567075640251896,300$
15Dennis Gilbert0X100.00777270638478716230695364486971075630282925,000$
16Louie Belpedio0X100.00634066647280826330656264536971075630292925,000$
17Connor Mackey3X100.00746359608483815730595862496971075620291925,000$
18Darren Brady0X100.00653986587463625730635056456971075600291775,000$
19Elias Salomonsson (R)0X100.00603886626970695830635455476163075600213950,000$
Rayé
1Adam Raska (R)0X100.00686562576669825654575556536466075590241775,000$
2Jon-Randall Avon (R)0X100.00603692576978835461555653556264075590222950,000$
3Mitchell Russell0X100.00643794567375615550525954586466075590241775,000$
4Carson Bantle (R)0X100.00764371558569635450525356546365075580233950,000$
5Ty Tullio (R)49X100.00633877576375785660585552546365075580231950,000$
6Ben Hemmerling (R)0X100.00583695566771625451535355546163075570213950,000$
7James Stefan (R)0X100.00573794557169685350525451556264075570223950,000$
8Dmitry Kuzmin (R)0X100.00573787566865725530545351456264075570222950,000$
MOYENNE D’ÉQUIPE100.0067457960767677595359575855656707561
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 moyen
1Ryan Fanti (R)100.0072736882717072717072716675075640263950,000$
2Connor D. Murphy100.0067747087666567666567666777075620271775,000$
Rayé
1Brett Brochu (R)100.0070726870696870696870696369075620233950,000$
MOYENNE D’ÉQUIPE100.007073698069687069687069657407563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Lowry66706771908456CAN602600,000$


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
1Georgii MerkulovBruins (BOS)C/LW/RW5336-1000162171514.29%311823.722027130000201085.71%700001.0100000001
2Mark KastelicBruins (BOS)C/RW5325-210018272161114.29%312024.020223120000150064.02%16400000.8300000100
3Dennis GilbertBruins (BOS)D5123-220251083412.50%612525.09123513000014000.00%000000.4800000000
4Kyle CliffordBruins (BOS)LW5123-52014415266.67%08717.46112513000160033.33%900000.6900000000
5Kyle MacLeanBruins (BOS)C/LW5123-320618198105.26%09619.37112713000060061.90%12600000.6200000000
6Louie BelpedioBruins (BOS)D5033-240865550.00%612224.52011213000013000.00%000000.4900000000
7Connor MackeyBruins (BOS)D5022-4951785020.00%710521.04011412000013000.00%000000.3800001000
8Elias SalomonssonBruins (BOS)D5022-420246120.00%410621.31011312000013000.00%000000.3800000000
9Jason PolinBruins (BOS)RW5112-30084811412.50%08917.92011313000000033.33%300000.4500000000
10Curtis McKenzieBruins (BOS)LW5011-100458590.00%08416.9000000000000071.43%700000.2400000000
11Cole SchwindtBruins (BOS)C/RW5011000114210.00%1234.790000000000000.00%000000.8300000000
12Danila KlimovichBruins (BOS)RW5101-5203584512.50%07515.10000113000070087.50%800000.2600000000
13Brendan BrissonBruins (BOS)C/LW/RW5000-300077180.00%45310.6300001000040062.50%800000.0000000000
14Bryce McConnell-BarkerBruins (BOS)C5000-140043030.00%0316.2300000000000053.13%3200000.0000000000
15Darren BradyBruins (BOS)D5000-400560020.00%37314.600000100004000.00%000000.0000000000
16Ben McCartneyBruins (BOS)LW5000-620266080.00%28016.0100000000000042.86%7000000.0000000000
17Jake ChristiansenBruins (BOS)D5000000000000.00%010.330000000000000.00%000000.0000000000
18Spencer SmallmanBruins (BOS)RW5000-460866040.00%67214.460000000000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne90112132-50455121137150451097.33%45146716.31510154013400011201059.08%43500000.4400001101
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
1Ryan FantiBruins (BOS)51400.8684.6327200211590000.000050000
2Connor D. MurphyBruins (BOS)10000.9002.3126001100000.000005000
Statistiques d’équipe totales ou en moyenne61400.8704.4229900221690000.000055000


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam RaskaBruins (BOS)RW242001-09-25Yes178 Lbs5 ft10NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Ben HemmerlingBruins (BOS)RW212004-04-21Yes174 Lbs5 ft11NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Ben McCartneyBruins (BOS)LW242001-07-13Yes182 Lbs6 ft0NoNoNo1Pro & Farm850,000$283,333$850,000$283,333$0$0$NoLien / Lien NHL
Brendan BrissonBruins (BOS)C/LW/RW232001-10-22Yes198 Lbs6 ft0NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Brett BrochuBruins (BOS)G232002-09-09Yes161 Lbs5 ft11NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Bryce McConnell-BarkerBruins (BOS)C212004-06-04Yes191 Lbs6 ft1NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Carson BantleBruins (BOS)LW232002-01-22Yes194 Lbs6 ft4NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Cole SchwindtBruins (BOS)C/RW242001-04-25Yes203 Lbs6 ft2NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Connor D. MurphyBruins (BOS)G271998-09-01No201 Lbs6 ft4NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Connor MackeyBruins (BOS)D291996-09-12No205 Lbs6 ft3NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Curtis McKenzieBruins (BOS)LW341991-02-22No205 Lbs6 ft2NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Danila KlimovichBruins (BOS)RW222003-01-09Yes202 Lbs6 ft2NoNoNo1Pro & Farm850,000$283,333$850,000$283,333$0$0$NoLien / Lien NHL
Darren BradyBruins (BOS)D291996-04-05No198 Lbs6 ft0NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Dennis GilbertBruins (BOS)D281996-10-30No216 Lbs6 ft2NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Dmitry KuzminBruins (BOS)D222003-04-23Yes188 Lbs5 ft10NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Elias SalomonssonBruins (BOS)D212004-08-31Yes172 Lbs6 ft0NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Georgii MerkulovBruins (BOS)C/LW/RW242000-10-10Yes176 Lbs5 ft11NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Ilya SolovyovBruins (BOS)D252000-07-20Yes208 Lbs6 ft3NoNoNo1Pro & Farm896,300$298,767$896,300$298,767$0$0$NoLien / Lien NHL
Jake ChristiansenBruins (BOS)D261999-09-12Yes197 Lbs6 ft0NoNoNo2Pro & Farm928,600$309,533$928,600$309,533$0$0$No928,600$Lien / Lien NHL
James StefanBruins (BOS)RW222003-08-09Yes183 Lbs6 ft0NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Jason PolinBruins (BOS)RW261999-06-17Yes198 Lbs6 ft0NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Jon-Randall AvonBruins (BOS)C222003-07-04Yes175 Lbs6 ft0NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Kyle CliffordBruins (BOS)LW341991-01-13No217 Lbs6 ft2NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Kyle MacLeanBruins (BOS)C/LW261999-04-29Yes194 Lbs6 ft1NoNoNo2Pro & Farm850,000$283,333$850,000$283,333$0$0$No850,000$Lien / Lien NHL
Louie BelpedioBruins (BOS)D291996-05-14No197 Lbs5 ft11NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Mark KastelicBruins (BOS)C/RW261999-03-11Yes227 Lbs6 ft4NoNoNo1Pro & Farm999,999$333,333$999,999$333,333$0$0$NoLien / Lien NHL
Mitchell RussellBruins (BOS)RW242001-03-06No194 Lbs6 ft0NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Ryan FantiBruins (BOS)G261999-10-03Yes194 Lbs6 ft3NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Spencer SmallmanBruins (BOS)RW291996-09-09No198 Lbs6 ft1NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Ty TullioBruins (BOS)RW232002-04-05Yes165 Lbs5 ft10NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.23193 Lbs6 ft11.70889,997$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Georgii MerkulovMark KastelicCurtis McKenzie40122
2Brendan BrissonKyle MacLeanJason Polin30122
3Kyle CliffordBen McCartneyDanila Klimovich20122
4Ben McCartneyBryce McConnell-BarkerSpencer Smallman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louie BelpedioDennis Gilbert40122
2Connor MackeyElias Salomonsson30122
3Darren BradySpencer Smallman20122
4Louie BelpedioDennis Gilbert10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Georgii MerkulovMark KastelicDanila Klimovich60122
2Kyle CliffordKyle MacLeanJason Polin40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louie BelpedioDennis Gilbert60122
2Connor MackeyElias Salomonsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mark KastelicGeorgii Merkulov60122
2Kyle MacLeanKyle Clifford40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louie BelpedioDennis Gilbert60122
2Connor MackeyElias Salomonsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mark Kastelic60122Louie BelpedioDennis Gilbert60122
2Georgii Merkulov40122Connor MackeyElias Salomonsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mark KastelicGeorgii Merkulov60122
2Kyle MacLeanKyle Clifford40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louie BelpedioDennis Gilbert60122
2Connor MackeyElias Salomonsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Georgii MerkulovMark KastelicKyle MacLeanLouie BelpedioDennis Gilbert
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Georgii MerkulovMark KastelicKyle MacLeanLouie BelpedioDennis Gilbert
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Kastelic, Kyle Clifford, Danila KlimovichGeorgii Merkulov, Kyle CliffordDanila Klimovich
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Darren Brady, Connor Mackey, Elias SalomonssonDarren BradyConnor Mackey, Elias Salomonsson
Tirs de pénalité
Mark Kastelic, Georgii Merkulov, Kyle MacLean, Kyle Clifford, Danila Klimovich
Gardien
#1 : Ryan Fanti, #2 : Connor D. Murphy
Lignes d’attaque personnalisées en prolongation
Mark Kastelic, Georgii Merkulov, Kyle MacLean, Curtis McKenzie, Brendan Brisson, Kyle Clifford, Kyle Clifford, Jason Polin, Danila Klimovich, Spencer Smallman, Ben McCartney
Lignes de défense personnalisées en prolongation
Louie Belpedio, Dennis Gilbert, Connor Mackey, Elias Salomonsson, Darren Brady


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
1Senators514000001122-1131200000814-62020000038-520.2001121320035301504363440169454512117529.41%19668.42%09616857.14%10618656.99%558167.90%11174122386632
Total514000001122-1131200000814-62020000038-520.2001121320035301504363440169454512117529.41%19668.42%09616857.14%10618656.99%558167.90%11174122386632
_Since Last GM Reset514000001122-1131200000814-62020000038-520.2001121320035301504363440169454512117529.41%19668.42%09616857.14%10618656.99%558167.90%11174122386632
_Vs Conference514000001122-1131200000814-62020000038-520.2001121320035301504363440169454512117529.41%19668.42%09616857.14%10618656.99%558167.90%11174122386632
_Vs Division514000001122-1131200000814-62020000038-520.2001121320035301504363440169454512117529.41%19668.42%09616857.14%10618656.99%558167.90%11174122386632

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L3112132150169454512100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001122
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3120000814
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000038
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
17529.41%19668.42%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
43634403530
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
9616857.14%10618656.99%558167.90%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11174122386632


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 - 2026-04-182Senators6Bruins1BLSommaire du match
2 - 2026-04-1910Senators3Bruins5BWSommaire du match
3 - 2026-04-2018Bruins2Senators3ALSommaire du match
4 - 2026-04-2126Bruins1Senators5ALSommaire du match
5 - 2026-04-2234Senators5Bruins2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4828
Assistance4,1762,199
Assistance PCT69.60%73.30%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
7 2125 - 70.83% 109,175$327,525$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,669,990$ 2,669,990$ 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$ 7 0$ 0$




Bruins Leaders statistiques (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
1Mark Kastelic159671041715121357355558311.49%54359722.6210293996123129560.55%00.9513
2Kyle MacLean1636969138417924534952713.09%44279817.17919284901128458.03%00.9900
3Georgii Merkulov16451741251914502735409.44%32311018.978152368303198454.22%00.8003
4Dennis Gilbert1642095115471804161942169.26%222331520.2252530980221210.00%00.6900
5Louie Belpedio1632684110111353282182729.56%206356421.871516311130115720.00%00.6200

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
1Ryan Fanti82542440.9053.10479814124826180310.0002
2Brandon Bussi82482560.9102.9847086623425980210.8336
3Eetu Makiniemi81200.9332.072320081200010.0000
4Connor D. Murphy60000.9182.76152007850000.0000

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
Saison régulière
20248243270462028324439412310034101441202441201701210139124151042835137962610773977262786977097024272076678920732485622.58%3476182.42%21534289752.95%1612305652.75%715133353.64%1981135018936131072540
20258250240430132925772412313032001611322941271101101168125431123296119401113593974323311161031105731270480770721252657026.42%2845480.99%61908322359.20%1660285058.25%814136159.81%2162154317695651022535
Total Saison régulière16493510892161250111182462306610305252538247280231130724958216612112417363724216619411586019851801202755542415731496419851312624.56%63111581.77%83442612056.24%3272590655.40%1529269456.76%414328933662117820941076
Séries éliminatoires
202419910000006165-41055000002933-49450000032320186111617700231521258318816118351724229193543541018.52%921781.52%135468851.45%41878653.18%17532753.52%467313515155268131
2025514000001122-1131200000814-62020000038-521121320035301504363440169454512117529.41%19668.42%09616857.14%10618656.99%558167.90%11174122386632
Total Séries éliminatoires241014000007287-151367000003747-101147000003540-5207213720900262024273323122422751893274238664711521.13%1112379.28%145085652.57%52497253.91%23040856.37%578387637194334164

Bruins Leaders statistiques (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
1Mark Kastelic2413821-632591067916.46%1257123.820441710120158.31%00.7300
2Louie Belpedio2451621-22859324910.20%4261225.52325220110000.00%00.6900
3Kyle MacLean249112051831426414.06%745819.11123700021056.48%00.8700
4Georgii Merkulov2461016-401548787.69%548820.342462100002046.97%00.6600
5Dryden Hunt1978154849294615.22%538820.44101900040250.67%00.7700

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
1Brandon Bussi199630.9073.24118720646880000.0000
2Ryan Fanti51400.8684.6327200211590000.0000
3Connor D. Murphy10000.9002.3126001100000.0000
4Eetu Makiniemi20100.9720.9861001360000.0000