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Bruins
GP: 6 | W: 2 | L: 4
GF: 17 | GA: 22 | PP%: 20.00% | PK%: 77.14%
DG: Chris | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Marlies
5-6-0, 10pts
7
FINAL
2 Bruins
2-4-0, 4pts
Team Stats
L3StreakL2
3-3-0Home Record1-2-0
2-3-0Away Record1-2-0
5-5-0Last 10 Games2-3-1
2.64Buts par match 2.83
2.82Buts contre par match 3.67
22.95%Pourcentage en avantage numérique20.00%
80.00%Pourcentage en désavantage numérique77.14%
Bruins
2-4-0, 4pts
2
FINAL
5 Marlies
5-6-0, 10pts
Team Stats
L2StreakL3
1-2-0Home Record3-3-0
1-2-0Away Record2-3-0
2-3-1Last 10 Games5-5-0
2.83Buts par match 2.64
3.67Buts contre par match 2.82
20.00%Pourcentage en avantage numérique22.95%
77.14%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Victor MeteButs
Victor Mete
5
Marian StudenicPasses
Marian Studenic
6
Marian StudenicPoints
Marian Studenic
10
Plus/Moins
Jeffrey Viel
1
Victoires
Jaxson Stauber
2
Pourcentage d’arrêts
Jaxson Stauber
0.843

Statistiques d’équipe
Buts pour
17
2.83 GFG
Tirs pour
106
17.67 Avg
Pourcentage en avantage numérique
20.0%
8 GF
Début de zone offensive
39.1%
Buts contre
22
3.67 GAA
Tirs contre
137
22.83 Avg
Pourcentage en désavantage numérique
77.1%%
8 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralChris
EntraîneurRyan Warsofsky
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,086
Billets de saison0


Informations de la formation

Équipe Pro22
Équipe Mineure21
Limite contact 43 / 50
Espoirs43


Historique d'équipe

Saison actuelle2-4
Historique0-0-0
Coupe Stanley0


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
1Oliver WahlstromX100.0079857580806271673771725941606170506602311,431,667$
2Nathan WalkerX100.0080778672675784596462567225565765506303021,000,000$
3Lane PedersonX100.0090927371726267637260606425545465506202631,000,000$
4Marian StudenicX100.0069628572627376635060626259484964506202531,100,000$
5Fredrik Olofsson (R)X100.007644976773567464366056652546466250600283900,000$
6Pavol Regenda (R)XX100.006743906580577162446258672545456350600242925,000$
7Oskar SteenX100.007165846865798558735458625546466250600261925,000$
8Ben Meyers (R)XXX100.0067429470705471606950596725484861505902511,000,000$
9Jeffrey VielX100.006171376771707360505461585848486050590273900,000$
10Josh Dunne (R)X100.007580647880515055694758625544445950580252800,000$
11Stelio Mattheos (R)X100.0071717164715759506349475945444454505402431,000,000$
12Haydn FleuryX100.0075448576776155582542477675646459506402711,300,000$
13Nick Cicek (R)X100.008387746378656957255947792545456150640241525,000$
14Victor MeteX100.0061418878656251582553477325646459506302611,250,000$
15Filip Roos (R)X100.007143916374696969255048712545456050620252925,000$
16William LagessonX100.007573797273677056254849644750505950610281750,000$
17Gustav Olofsson (R)X100.0079758772755254492543396337444453505802911,000,000$
Rayé
1Josiah Slavin (R)X100.007061907061758250634748594644445650560252925,000$
2Jake Livingstone (R)X100.007268826768525256504958615544445950570252775,000$
MOYENNE D’ÉQUIPE100.00736481707262685947545465414950615060
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
1Joseph Woll (R)100.006348607768636168656430454562506202531,000,000$
2Nico Daws100.00535468845255535854543046465450570232925,000$
3Jaxson Stauber (R)100.00495366704849505549493044445050520252925,000$
Rayé
MOYENNE D’ÉQUIPE100.0055526577565655605656304545555057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Warsofsky73707462514892USA333700,000$


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
1Marian StudenicBruins (BOS)RW64610-580161325111816.00%212220.411671332000001057.14%700001.6300000011
2Victor MeteBruins (BOS)D6527-512014151710629.41%1313322.295051631000020000.00%000001.0500000101
3Filip RoosBruins (BOS)D6134-1605632533.33%311318.97123321000018000.00%000000.7000000000
4William LagessonBruins (BOS)D60440201765220.00%512020.08011423000020000.00%000000.6600000000
5Fredrik OlofssonBruins (BOS)LW6123-1203243225.00%0569.3400000000010075.00%400001.0700000100
6Lane PedersonBruins (BOS)C6213-18011461633.33%0528.7400000000000056.41%3900001.1400000010
7Josh DunneBruins (BOS)C6022160565160.00%0325.4900028000010047.06%1700001.2100000000
8Jeffrey VielBruins (BOS)LW62021404240450.00%0284.7400000000000150.00%200001.4100000001
9Nathan WalkerBruins (BOS)LW62020801210106620.00%19315.65101324000011066.67%600000.4300000000
10Gustav OlofssonBruins (BOS)D6011-180644030.00%69616.010004800008000.00%000000.2100000000
11Ben MeyersBruins (BOS)C/LW/RW6000-120115130.00%1508.4400000000000066.67%300000.00%00000000
12Pavol RegendaBruins (BOS)LW/RW6000000258180.00%39315.54000223000000062.50%800000.00%00000000
13Oskar SteenBruins (BOS)C6000060161030.00%78313.9900000000000040.00%1000000.00%00000000
Statistiques d’équipe totales ou en moyenne78172138-13720978097387217.53%41107813.828917471740000742155.21%9600000.7000000223
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
1Jaxson StauberBruins (BOS)62310.8433.6229800181150100.00%066000
Statistiques d’équipe totales ou en moyenne62310.8433.622980018115010066000


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 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
Ben MeyersBruins (BOS)C/LW/RW251998-11-15Yes195 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Filip RoosBruins (BOS)D251999-05-01Yes190 Lbs6 ft4YesNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Fredrik OlofssonBruins (BOS)LW281996-05-27Yes196 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Gustav OlofssonBruins (BOS)D291994-12-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Haydn FleuryBruins (BOS)D271996-07-08No208 Lbs6 ft3NoNoNo1Pro & Farm1,300,000$0$0$NoLien / Lien NHL
Jake LivingstoneBruins (BOS)D251999-04-16Yes205 Lbs6 ft3YesNoNo2Pro & Farm775,000$0$0$No775,000$Lien
Jaxson StauberBruins (BOS)G251999-04-27Yes175 Lbs6 ft3YesNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Jeffrey VielBruins (BOS)LW271997-01-28No195 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Joseph WollBruins (BOS)G251998-07-12Yes198 Lbs6 ft2YesNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Josh DunneBruins (BOS)C251998-12-08Yes210 Lbs6 ft4NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Josiah SlavinBruins (BOS)LW251998-12-31Yes161 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Lane PedersonBruins (BOS)C261997-08-04No190 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Marian StudenicBruins (BOS)RW251998-10-28No165 Lbs6 ft0NoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$Lien / Lien NHL
Nathan WalkerBruins (BOS)LW301994-02-07No186 Lbs5 ft9NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien / Lien NHL
Nick CicekBruins (BOS)D242000-05-29Yes201 Lbs6 ft3YesNoNo1Pro & Farm525,000$0$0$NoLien
Nico DawsBruins (BOS)G232000-12-22No205 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Oliver WahlstromBruins (BOS)RW232000-06-13No211 Lbs6 ft2NoNoNo1Pro & Farm1,431,667$0$0$NoLien / Lien NHL
Oskar SteenBruins (BOS)C261998-03-09No187 Lbs5 ft9NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Pavol RegendaBruins (BOS)LW/RW241999-07-12Yes219 Lbs6 ft3YesNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Stelio MattheosBruins (BOS)RW241999-06-14Yes194 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Victor Mete (contrat à 1 volet)Bruins (BOS)D261998-06-07No187 Lbs5 ft9NoNoNo1Pro & Farm1,250,000$125,000$0$NoLien / Lien NHL
William LagessonBruins (BOS)D281996-02-22No196 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.68194 Lbs6 ft11.91967,349$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marian Studenic40122
2Nathan WalkerPavol Regenda30122
3Fredrik OlofssonLane PedersonBen Meyers20122
4Jeffrey VielOskar Steen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor Mete40122
2Filip RoosWilliam Lagesson30122
3Gustav OlofssonOskar Steen20122
4Victor Mete10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marian Studenic60122
2Nathan WalkerPavol Regenda40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor Mete60122
2Filip RoosWilliam Lagesson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Nathan Walker40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor Mete60122
2Filip RoosWilliam Lagesson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Victor Mete60122
240122Filip RoosWilliam Lagesson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Nathan Walker40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor Mete60122
2Filip RoosWilliam Lagesson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marian StudenicVictor Mete
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marian StudenicVictor Mete
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Dunne, Lane Pederson, Fredrik OlofssonJosh Dunne, Lane PedersonFredrik Olofsson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gustav Olofsson, Filip Roos, William LagessonGustav OlofssonFilip Roos, William Lagesson
Tirs de pénalité
, , , Nathan Walker, Lane Pederson
Gardien
#1 : , #2 : Jaxson Stauber
Lignes d’attaque personnalisées en prolongation
, , , Nathan Walker, Lane Pederson, Marian Studenic, Marian Studenic, Pavol Regenda, Fredrik Olofsson, Oskar Steen, Jeffrey Viel
Lignes de défense personnalisées en prolongation
, Victor Mete, Filip Roos, William Lagesson, Gustav Olofsson


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
1Marlies624000001722-5312000001012-231200000710-340.333172340007550106392738213746729940820.00%35877.14%03915724.84%4716129.19%208423.81%13189164457034
Total624000001722-5312000001012-231200000710-340.333172340007550106392738213746729940820.00%35877.14%03915724.84%4716129.19%208423.81%13189164457034
_Since Last GM Reset624000001722-5312000001012-231200000710-340.333172340007550106392738213746729940820.00%35877.14%03915724.84%4716129.19%208423.81%13189164457034
_Vs Conference624000001722-5312000001012-231200000710-340.333172340007550106392738213746729940820.00%35877.14%03915724.84%4716129.19%208423.81%13189164457034

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L217234010613746729900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001722
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001012
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000710
Derniers 10 matchs
WLOTWOTL SOWSOL
230100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
40820.00%35877.14%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
39273827550
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
3915724.84%4716129.19%208423.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13189164457034


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 - 2023-09-294Marlies2Bruins6BWSommaire du match
3 - 2023-10-0112Marlies3Bruins2BLSommaire du match
5 - 2023-10-0320Bruins3Marlies2AWSommaire du match
7 - 2023-10-0528Bruins2Marlies3ALXSommaire du match
9 - 2023-10-0736Marlies7Bruins2BLSommaire du match
11 - 2023-10-0944Bruins2Marlies5ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance3,2583,000
Assistance PCT54.30%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2086 - 69.53% 108,600$325,800$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,003,167$ 2,003,167$ 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$ 0 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

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 (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