Boston Bruins

GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 21 | GA: 15 | PP%: 16.67% | PK%: 91.67%
DG: Steve Gagné | Morale : 55 | Moyenne d'Équipe : N/A
Prochain matchs #87 vs Calgary Flames
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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 SP
1Ryan SpoonerXXX100.0090558982808277857387777255787215600
2David Backes (C)XXX100.0099558285999588878479789155909015600
3Jake DebruskXX100.0085558387798384866382787155706815600
4Jason ChimeraXX100.0085557783828276706067637655889115600
5Brad MarchandX100.0073557095919188956896949255868315600
6Jimmy HayesXX100.0082557781857474716065657055747215600
7James van RiemsdykXX100.0067558588899086925074948955848215600
8Kyle TurrisX100.0070558390858586908888777755818215700
9Nicklas Backstrom (A)X100.0080558796929197958794829155908815600
10Patric HornqvistX100.0099558684868686907178918655868215600
11Frederick GaudreauXX100.0068556670666273668059606455737115600
12Rocco GrimaldiXXX100.0060557378606582615061616055505015600
13Adam McQuaidX100.0090557072917882732562618155847815600
14Marc-Edouard VlasicX100.0071558893889289902577719355848815600
15Kevan MillerX100.0095557380888581832572618955807715600
16Matt GrzelcykX100.0077558570578063822570648855767615600
17Matt NiskanenX100.0088558583899292902582689155808515600
18Torey KrugX100.0081558695818789962593759555828015600
Rayé
MOYENNE D'ÉQUIPE100.008155808483838383557773825580791560
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 SP
1Anton Khudobin100.008380819082828886818455858115600
2Tuukka Rask100.009090989095858890908955878615100
Rayé
MOYENNE D'ÉQUIPE100.00878590908984888886875586841540
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella74878188907252USA5952,850,000$


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'ÉquipePOS GP 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
1Nicklas BackstromBoston BruinsC53474402122151114.29%09919.810115200000100052.52%13900001.4100000010
2Matt NiskanenBoston BruinsD51560409732733.33%1311422.92011216000019000.00%000001.0500000100
3Torey KrugBoston BruinsD5066140569560.00%312725.48022519000019000.00%000000.9400000000
4Patric HornqvistBoston BruinsRW5426220861441028.57%18517.13202218000000071.43%700001.4000000100
5Brad MarchandBoston BruinsLW53254401382381913.04%211422.811017200000241044.44%900000.8800000101
6Marc-Edouard VlasicBoston BruinsD514510056105510.00%512324.77112820000022000.00%000000.8100000010
7David BackesBoston BruinsC/LW/RW522436069104920.00%37114.25000000000250052.83%10600001.1200000010
8Ryan SpoonerBoston BruinsC/LW/RW51233003174514.29%05210.52000000000610100.00%300001.1400000001
9James van RiemsdykBoston BruinsLW/RW5123-20005287183.57%110220.470002200001110044.44%900000.5900000000
10Matt GrzelcykBoston BruinsD51233204782312.50%89619.35000517000021000.00%000000.6200000000
11Kyle TurrisBoston BruinsC5213-45511291722.22%08717.46011318000001050.45%11100000.6900001000
12Jake DebruskBoston BruinsLW/RW5022-4100717130.00%28917.88022318000030040.00%500000.4500000000
13Kevan MillerBoston BruinsD5022020812020.00%37515.140000000004000.00%000000.5300000000
14Jimmy HayesBoston BruinsLW/RW51121202140425.00%1316.3300000000001050.00%200001.2600000001
15Rocco GrimaldiBoston BruinsC/LW/RW511212000100100.00%1316.3300000000000020.00%500001.2600000000
16Adam McQuaidBoston BruinsD50113601200000.00%26112.310000100002000.00%000000.3200000000
17Jason ChimeraBoston BruinsLW/RW5011320322050.00%0459.070000000000000.00%000000.4400000000
18Frederick GaudreauBoston BruinsC/LW5000100331010.00%0408.0200000000080028.95%3800000.0000000000
Stats d'équipe Total ou en Moyenne902140612055591871594811513.21%45145016.1148124219400011814049.77%43400000.8400001333
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
1Tuukka RaskBoston Bruins43100.8883.222052111980000.000041100
2Anton KhudobinBoston Bruins21000.9002.5594004400000.000014000
Stats d'équipe Total ou en Moyenne64100.8913.0030021151380000.000055100


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam McQuaidBoston BruinsD301986-10-11No209 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$926,554$No
Anton KhudobinBoston BruinsG301986-05-06No203 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$1,000,000$
Brad MarchandBoston BruinsLW281988-05-10No183 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$5,000,000$5,000,000$
David BackesBoston BruinsC/LW/RW321984-05-01No221 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No3,500,000$3,500,000$
Frederick GaudreauBoston BruinsC/LW231993-05-01No179 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$277,966$No
Jake DebruskBoston BruinsLW/RW201996-10-17No183 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$833,898$No900,000$900,000$
James van RiemsdykBoston BruinsLW/RW271989-05-04No200 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No3,500,000$
Jason ChimeraBoston BruinsLW/RW371979-05-02No213 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm500,000$500,000$463,277$No500,000$
Jimmy HayesBoston BruinsLW/RW271989-11-21No221 Lbs6 ft6NoNoNo4Avec RestrictionPro & Farm500,000$500,000$463,277$No500,000$500,000$500,000$
Kevan MillerBoston BruinsD291987-11-15No210 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No2,500,000$2,500,000$
Kyle TurrisBoston BruinsC271989-08-14No191 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$
Marc-Edouard VlasicBoston BruinsD291987-03-30No205 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No
Matt GrzelcykBoston BruinsD231994-01-05No174 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm500,000$500,000$463,277$No500,000$500,000$
Matt NiskanenBoston BruinsD301986-12-05No200 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No
Nicklas BackstromBoston BruinsC291987-11-22No213 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$5,000,000$
Patric HornqvistBoston BruinsRW301987-01-01No189 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No
Rocco GrimaldiBoston BruinsC/LW/RW231993-02-07No160 Lbs5 ft6NoNoNo1Avec RestrictionPro & Farm500,000$500,000$463,277$No
Ryan SpoonerBoston BruinsC/LW/RW241992-01-29No181 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$926,554$No
Torey KrugBoston BruinsD251991-04-11No181 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No
Tuukka RaskBoston BruinsG291987-03-09No185 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$5,000,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2027.60195 Lbs6 ft12.152,235,000$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
44,700,000$28,900,000$23,900,000$5,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brad MarchandNicklas BackstromPatric Hornqvist36113
2Jake DebruskKyle TurrisJames van Riemsdyk34113
3Jason ChimeraDavid BackesRyan Spooner20122
4Rocco GrimaldiFrederick GaudreauJimmy Hayes10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Torey KrugMarc-Edouard Vlasic40122
2Kevan MillerMatt Niskanen30122
3Matt GrzelcykAdam McQuaid20131
4Torey KrugMatt Niskanen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brad MarchandNicklas BackstromJames van Riemsdyk60014
2Jake DebruskKyle TurrisPatric Hornqvist40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc-Edouard VlasicTorey Krug60122
2Matt NiskanenMatt Grzelcyk40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1David BackesBrad Marchand60122
2Nicklas BackstromJames van Riemsdyk40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc-Edouard VlasicTorey Krug60122
2Matt GrzelcykMatt Niskanen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1David Backes60122Matt NiskanenTorey Krug60122
2Nicklas Backstrom40122Marc-Edouard VlasicMatt Grzelcyk40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nicklas BackstromBrad Marchand60122
2Kyle TurrisJames van Riemsdyk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenTorey Krug60122
2Marc-Edouard VlasicKevan Miller40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brad MarchandNicklas BackstromJames van RiemsdykMarc-Edouard VlasicTorey Krug
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brad MarchandDavid BackesJames van RiemsdykMarc-Edouard VlasicTorey Krug
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jake Debrusk, James van Riemsdyk, Patric HornqvistRyan Spooner, Kyle TurrisFrederick Gaudreau
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Torey Krug, Matt Niskanen, Marc-Edouard VlasicMatt GrzelcykMatt Niskanen, Kevan Miller
Tirs de Pénalité
Brad Marchand, James van Riemsdyk, Patric Hornqvist, Nicklas Backstrom, Jake Debrusk
Gardien
#1 : Tuukka Rask, #2 : Anton Khudobin


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
LigueDomicileVisiteur
# 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
1Buffalo Sabres11000000633000000000001100000063321.000611170051004217169026511125240.00%30100.00%08317946.37%9517454.60%388146.91%2518217126
2Detroit Red Wings11000000303110000003030000000000021.00035801003032712130221014156116.67%60100.00%08317946.37%9517454.60%388146.91%2517227126
3Edmonton Oilers11000000532110000005320000000000021.0005101500122034139120271512195120.00%6183.33%08317946.37%9517454.60%388146.91%2114258126
4Ottawa Senators11000000541110000005410000000000021.0005101500131022109303071023300.00%50100.00%08317946.37%9517454.60%388146.91%2214247126
Total54100000211563300000013762110000088080.800214061018760159555549013845579124416.67%24291.67%08317946.37%9517454.60%388146.91%11680120386230
6Washington Capitals1010000025-3000000000001010000025-300.00024600110029891203381022500.00%4175.00%08317946.37%9517454.60%388146.91%2114267115
_Since Last GM Reset54100000211563300000013762110000088080.800214061018760159555549013845579124416.67%24291.67%08317946.37%9517454.60%388146.91%11680120386230
_Vs Conference4310000016124220000008442110000088060.750163046017540125424637011130457219315.79%18194.44%08317946.37%9517454.60%388146.91%956595304924
_Vs Division330000001477220000008441100000063361.0001426400164409634372507822355014321.43%140100.00%08317946.37%9517454.60%388146.91%735068223718

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
58W421406115913845579101
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
54100002115
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3300000137
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000088
Derniers 10 Matchs
WLOTWOTL SOWSOL
410000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
24416.67%24291.67%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
55554908760
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
8317946.37%9517454.60%388146.91%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11680120386230


Derniers Match 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 - 2018-09-054Boston Bruins2Washington Capitals5LSommaire du Match
2 - 2018-09-065Boston Bruins6Buffalo Sabres3WSommaire du Match
6 - 2018-09-1033Ottawa Senators4Boston Bruins5WSommaire du Match
9 - 2018-09-1345Edmonton Oilers3Boston Bruins5WSommaire du Match
10 - 2018-09-1458Detroit Red Wings0Boston Bruins3WSommaire du Match
14 - 2018-09-1887Boston Bruins-Calgary Flames-
15 - 2018-09-1992Boston Bruins-Edmonton Oilers-
17 - 2018-09-21112Boston Bruins-Vancouver Canucks-
20 - 2018-09-24129Boston Bruins-Ottawa Senators-
22 - 2018-09-26135Philadelphia Flyers-Boston Bruins-
24 - 2018-09-28149Montreal Canadiens-Boston Bruins-
27 - 2018-10-01170Boston Bruins-Carolina Hurricanes-
31 - 2018-10-05200Boston Bruins-Nashville Predators-
33 - 2018-10-07211Dallas Stars-Boston Bruins-
36 - 2018-10-10227Vancouver Canucks-Boston Bruins-
38 - 2018-10-12242Toronto Maple Leafs-Boston Bruins-
39 - 2018-10-13253Vegas Golden Knights-Boston Bruins-
42 - 2018-10-16274Boston Bruins-Colorado Avalanche-
44 - 2018-10-18289Boston Bruins-Dallas Stars-
45 - 2018-10-19292Boston Bruins-Phoenix Coyotes-
49 - 2018-10-23323Boston Bruins-Detroit Red Wings-
50 - 2018-10-24334Pittsburgh Penguins-Boston Bruins-
51 - 2018-10-25351Boston Bruins-Montreal Canadiens-
53 - 2018-10-27366Boston Bruins-Toronto Maple Leafs-
56 - 2018-10-30382New York Islanders-Boston Bruins-
58 - 2018-11-01396Detroit Red Wings-Boston Bruins-
61 - 2018-11-04419Boston Bruins-Florida Panthers-
63 - 2018-11-06436Boston Bruins-Tampa Bay Lightning-
65 - 2018-11-08445Toronto Maple Leafs-Boston Bruins-
66 - 2018-11-09457Boston Bruins-Ottawa Senators-
68 - 2018-11-11465Phoenix Coyotes-Boston Bruins-
71 - 2018-11-14493Boston Bruins-Pittsburgh Penguins-
73 - 2018-11-16505Buffalo Sabres-Boston Bruins-
74 - 2018-11-17514Boston Bruins-Montreal Canadiens-
77 - 2018-11-20531Anaheim Ducks-Boston Bruins-
79 - 2018-11-22546Nashville Predators-Boston Bruins-
80 - 2018-11-23559Boston Bruins-Carolina Hurricanes-
81 - 2018-11-24567New Jersey Devils-Boston Bruins-
83 - 2018-11-26584Boston Bruins-Buffalo Sabres-
86 - 2018-11-29612Boston Bruins-Chicago Blackhawks-
88 - 2018-12-01621Calgary Flames-Boston Bruins-
90 - 2018-12-03636Buffalo Sabres-Boston Bruins-
93 - 2018-12-06657Minnesota Wild-Boston Bruins-
95 - 2018-12-08671Washington Capitals-Boston Bruins-
97 - 2018-12-10697Boston Bruins-Toronto Maple Leafs-
99 - 2018-12-12705Montreal Canadiens-Boston Bruins-
101 - 2018-12-14724Boston Bruins-Philadelphia Flyers-
102 - 2018-12-15726St. Louis Blues-Boston Bruins-
104 - 2018-12-17740New York Rangers-Boston Bruins-
110 - 2018-12-23773Winnipeg Jets-Boston Bruins-
112 - 2018-12-25778Philadelphia Flyers-Boston Bruins-
115 - 2018-12-28804Boston Bruins-Washington Capitals-
117 - 2018-12-30809New York Islanders-Boston Bruins-
118 - 2018-12-31821Boston Bruins-New York Rangers-
121 - 2019-01-03839Los Angeles Kings-Boston Bruins-
122 - 2019-01-04852Colorado Avalanche-Boston Bruins-
124 - 2019-01-06863Chicago Blackhawks-Boston Bruins-
127 - 2019-01-09888Boston Bruins-Anaheim Ducks-
128 - 2019-01-10896Boston Bruins-Los Angeles Kings-
130 - 2019-01-12915Boston Bruins-San Jose Sharks-
132 - 2019-01-14928Boston Bruins-Vegas Golden Knights-
135 - 2019-01-17953Boston Bruins-St. Louis Blues-
138 - 2019-01-20969San Jose Sharks-Boston Bruins-
140 - 2019-01-22985Tampa Bay Lightning-Boston Bruins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-241000New Jersey Devils-Boston Bruins-
145 - 2019-01-271020Carolina Hurricanes-Boston Bruins-
147 - 2019-01-291034Florida Panthers-Boston Bruins-
149 - 2019-01-311049Ottawa Senators-Boston Bruins-
150 - 2019-02-011063Boston Bruins-Pittsburgh Penguins-
152 - 2019-02-031074Boston Bruins-Columbus Blue Jackets-
154 - 2019-02-051092Boston Bruins-Winnipeg Jets-
156 - 2019-02-071100Columbus Blue Jackets-Boston Bruins-
159 - 2019-02-101128Boston Bruins-New York Islanders-
161 - 2019-02-121144Boston Bruins-New Jersey Devils-
163 - 2019-02-141154Boston Bruins-Florida Panthers-
165 - 2019-02-161175Boston Bruins-Tampa Bay Lightning-
167 - 2019-02-181185New York Rangers-Boston Bruins-
170 - 2019-02-211203Florida Panthers-Boston Bruins-
171 - 2019-02-221217Boston Bruins-Detroit Red Wings-
173 - 2019-02-241231Boston Bruins-Columbus Blue Jackets-
175 - 2019-02-261247Boston Bruins-Minnesota Wild-
177 - 2019-02-281258Tampa Bay Lightning-Boston Bruins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance17,50213,8845,57211,4572,814
Attendance PCT97.23%92.56%92.87%95.48%93.80%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 17076 - 94.87% 1,071,060$3,213,180$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
3,492,372$ 44,700,000$ 31,599,999$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
44,700,000$ 3,283,046$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
40,700,280$ 164 268,644$ 44,057,616$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
44,299,975$ 44,700,000$ 107,121,756$ 103,522,061$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Ryan SpoonerAGE:24PO:1OV:0
David BackesAGE:32PO:1OV:0
*Giovanni FioreAGE:20PO:1OV:0
Jake DebruskAGE:20PO:1OV:0
Jason ChimeraAGE:37PO:1OV:0
*Pascal PelletierAGE:33PO:1OV:0
Brad MarchandAGE:28PO:1OV:0
*Dmytro TimashovAGE:20PO:1OV:0
*Shawn Ouellette-St. AmantAGE:20PO:1OV:0
Zac RinaldoAGE:26PO:1OV:0
Justin FlorekAGE:26PO:1OV:0
Clarke MacArthurAGE:31PO:1OV:0
Jimmy HayesAGE:27PO:1OV:0
James van RiemsdykAGE:27PO:1OV:0
Yannick VeilleuxAGE:23PO:1OV:0
Frederick GaudreauAGE:23PO:1OV:0
Liam O'BrienAGE:22PO:1OV:0
Rocco GrimaldiAGE:23PO:1OV:0
Ryan SpoonerAGE:24PO:1OV:0
David BackesAGE:32PO:1OV:0
*Anthony RichardAGE:20PO:1OV:0
Louis-Marc AubryAGE:25PO:1OV:0
Kyle TurrisAGE:27PO:1OV:0
Nicklas BackstromAGE:29PO:1OV:0
Frederick GaudreauAGE:23PO:1OV:0
Rocco GrimaldiAGE:23PO:1OV:0
Ryan SpoonerAGE:24PO:1OV:0
David BackesAGE:32PO:1OV:0
*Giovanni FioreAGE:20PO:1OV:0
Jake DebruskAGE:20PO:1OV:0
Jason ChimeraAGE:37PO:1OV:0
Curtis McKenzieAGE:25PO:1OV:0
Zac RinaldoAGE:26PO:1OV:0
Matej StranskyAGE:23PO:1OV:0
Jimmy HayesAGE:27PO:1OV:0
James van RiemsdykAGE:27PO:1OV:0
Ben SmithAGE:28PO:1OV:0
Jordan CaronAGE:26PO:1OV:0
Jack SkilleAGE:29PO:1OV:0
Patric HornqvistAGE:30PO:1OV:0
Rocco GrimaldiAGE:23PO:1OV:0

Défense #1Défense #2Gardien
Andrej SekeraAGE:30PO:1OV:0
Adam McQuaidAGE:30PO:1OV:0
Brian StraitAGE:29PO:1OV:0
Chris WidemanAGE:27PO:1OV:0
Marc-Edouard VlasicAGE:29PO:1OV:0
Loic LeducAGE:22PO:1OV:0
Kevan MillerAGE:29PO:1OV:0
Matt GrzelcykAGE:23PO:1OV:0
Maxime FortunusAGE:33PO:1OV:0
*Carson SoucyAGE:22PO:1OV:0
Matt NiskanenAGE:30PO:1OV:0
Torey KrugAGE:25PO:1OV:0
Nate ProsserAGE:30PO:1OV:0
Anton KhudobinAGE:30PO:1OV:0
Christopher GibsonAGE:24PO:1OV:0
Philippe DesrosiersAGE:21PO:1OV:0
Tuukka RaskAGE:29PO:1OV:0
Jeremy SmithAGE:27PO:1OV:0
Michael LeightonAGE:35PO:1OV:0

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Adam MarshBoston Bruins11126
Callum BoothBoston Bruins1187
Connor BunnamanBoston Bruins12113
Giorgio EstephanBoston Bruins11104
Gustav BourammanBoston Bruins11112
Jack KopackaBoston Bruins12133
Keegan KanzigBoston Bruins9158
Luke GreenBoston Bruins12105
Matt SchmalzBoston Bruins11101
Shawn O'DonnellBoston Bruins
Spencer SmallmanBoston Bruins11102
Steve LorentzBoston Bruins11169

Choix au Repêchage

Année R1R2R3R4R5R6
14Flo Bos NYI
15Flo Wpg Ott NYI
16Bos Phi Bos
17Bos Bos PHX Bos PHX Bos
18Bos Bos Bos Bos Bos Bos



[2018-09-29 10:51:23] - Team Name Change : Providence Bruins changed name to Bruins
[2018-09-23 12:49:25] - TRADE : From Philadelphie Flyers to Boston Bruins : Y:16-RND:2-Phi.
[2018-09-23 12:49:25] - TRADE : From Boston Bruins to Philadelphie Flyers : Rick Nash.
[2018-09-21 15:44:24] - TRADE : From Ottawa Senateurs to Boston Bruins : Ryan Spooner, Y:15-RND:4-Ott.
[2018-09-21 15:44:24] - TRADE : From Boston Bruins to Ottawa Senateurs : Carl Dahlstrom, Glenn Gawdin (P), Y:14-RND:3-Tor.
[2018-09-05 22:30:44] - TRADE : From Boston Bruins to Floride Panthers : Y:15-RND:3-Bos.
[2018-09-03 12:35:42] - TRADE : From Boston Bruins to Ottawa Senateurs : Gabriel Fontaine, Michael Frolik, Evan Fitzpatrick (P).
[2018-09-03 12:35:42] - TRADE : From Ottawa Senateurs to Boston Bruins : Patric Hornqvist, Y:14-RND:3-Tor.
[2018-09-03 12:34:25] - TRADE : From Boston Bruins to Calgary Flames : Maxime Lagace, Jonathan Ang (P).
[2018-09-03 12:34:25] - TRADE : From Calgary Flames to Boston Bruins : Anton Khudobin.
[2018-09-03 12:24:49] - TRADE : From Winnipeg Jets to Boston Bruins : James van Riemsdyk, Y:15-RND:4-Wpg.
[2018-09-03 12:24:49] - TRADE : From Boston Bruins to Winnipeg Jets : James Neal, Jonathan Ericsson.
[2018-09-03 12:22:31] - TRADE : From Floride Panthers to Boston Bruins : Brad Marchand, Tuukka Rask.
[2018-09-03 12:22:31] - TRADE : From Boston Bruins to Floride Panthers : Mark Stone, Ben Bishop, Taylor Raddysh (P), Y:15-RND:5-Bos.
[2018-09-03 12:21:23] - TRADE : From Calgary Flames to Boston Bruins : Matt Niskanen, Dmytro Timashov, Carl Dahlstrom.
[2018-09-03 12:21:23] - TRADE : From Boston Bruins to Calgary Flames : David Krejci.
[2018-09-01 11:35:38] - Giovanni Fiore was added to Boston Bruins.
[2018-08-30 15:46:50] - TRADE : From Columbus Blue Jackets to Boston Bruins : Andrej Sekera.
[2018-07-25 17:20:24] - Yann Sauve has been deleted from Boston Bruins.
[2018-07-25 17:20:22] - Yann Danis has been deleted from Boston Bruins.
[2018-07-25 17:20:18] - Justin Hache has been deleted from Boston Bruins.
[2018-07-25 17:20:15] - Harri Ilvonen has been deleted from Boston Bruins.
[2018-07-25 17:20:12] - Gabryel Paquin-Boudreau has been deleted from Boston Bruins.
[2018-07-25 17:20:09] - Carl Neill has been deleted from Boston Bruins.
[2018-07-25 17:20:06] - Brian McGrattan has been deleted from Boston Bruins.
[2018-07-23 15:07:02] - TRADE : From Los Angeles Kings to Boston Bruins : Jake Debrusk, Y:15-RND:4-Flo.
[2018-07-23 15:07:02] - TRADE : From Boston Bruins to Los Angeles Kings : Jeff Skinner, Y:16-RND:2-Bos.
[2018-07-23 15:06:11] - TRADE : From St-Louis Blues to Boston Bruins : Kyle Turris, Jeff Skinner, Matt Grzelcyk.
[2018-07-23 15:06:11] - TRADE : From Boston Bruins to St-Louis Blues : Jake Muzzin, Mike Hoffman, Anton Forsberg.
[2018-07-16 20:16:14] - Carson Soucy was added to Boston Bruins.
[2018-07-16 20:16:14] - Gabriel Fontaine was added to Boston Bruins.
[2018-07-12 19:33:58] - TRADE : From Phoenix Coyotes to Boston Bruins : Michael Frolik.
[2018-07-12 19:33:58] - TRADE : From Boston Bruins to Phoenix Coyotes : Y:17-RND:2-Bos.



[2018-10-03 14:29:37] Auto Lines Farm Function has been run for Bruins.
[2018-10-03 14:27:29] Zac Rinaldo of Boston Bruins was sent down to farm.
[2018-10-03 14:27:26] Giovanni Fiore of Boston Bruins was sent down to farm.
[2018-10-03 14:27:24] Chris Wideman of Boston Bruins was sent down to farm.
[2018-09-26 15:10:04] Boston Bruins Email Address was changed to dg_boston@hotmail.com.
[2018-09-23 12:50:11] Auto Lines Farm Function has been run for Providence Bruins.
[2018-09-23 12:49:29] Boston Bruins roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-09-23 12:49:25] TRADE : From Philadelphie Flyers to Boston Bruins : Y:16-RND:2-Phi.
[2018-09-23 12:49:25] TRADE : From Boston Bruins to Philadelphie Flyers : Rick Nash.
[2018-09-22 15:58:56] Last 7 Days Pro Star : 1 - Sidney Crosby of Caroline Hurricanes (5-3-8) / 2 - Jake Debrusk of Boston Bruins (4-3-7) / 3 - Patrice Bergeron of Dallas Stars (5-4-9)
[2018-09-22 15:58:54] Ben Smith from Providence Bruins has scored a Hat Trick!
[2018-09-21 15:52:27] Boston Bruins roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2018-09-21 15:44:24] TRADE : From Ottawa Senateurs to Boston Bruins : Ryan Spooner, Y:15-RND:4-Ott.
[2018-09-21 15:44:24] TRADE : From Boston Bruins to Ottawa Senateurs : Carl Dahlstrom, Glenn Gawdin (P), Y:14-RND:3-Tor.
[2018-09-15 11:45:13] Giovanni Fiore of Boston Bruins was sent to pro.
[2018-09-12 14:29:38] Auto Lines Farm Function has been run for Providence Bruins.
[2018-09-12 14:28:35] Rocco Grimaldi of Boston Bruins was sent to pro.
[2018-09-12 14:28:04] Chris Wideman of Boston Bruins was sent to pro.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
135410000021156330000001376211000008808214061018760159555549013845579124416.67%24291.67%08317946.37%9517454.60%388146.91%11680120386230
Total Saison Régulière5410000021156330000001376211000008808214061018760159555549013845579124416.67%24291.67%08317946.37%9517454.60%388146.91%11680120386230
Séries
12624000001720-332100000108230300000712-541732491174601916860630191754813620735.00%23386.96%010520551.22%11522152.04%5210151.49%14299140447737
12624000001720-332100000108230300000712-541732491174601916860630191754813620735.00%23386.96%010520551.22%11522152.04%5210151.49%14299140447737
Total Séries1248000003440-66420000020164606000001424-10834649822148120382136120126038215096272401435.00%46686.96%021041051.22%23044252.04%10420251.49%2841982808815574