Connexion

Bruins
GP: 18 | W: 14 | L: 3 | OTL: 1 | P: 29
GF: 60 | GA: 36 | PP%: 13.79% | PK%: 89.13%
DG: Dominic Rozon | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #201 vs Phantoms
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Centre de jeu
Bruins
14-3-1, 29pts
5
FINAL
2 Crunch
14-4-0, 28pts
Team Stats
W2SéquenceW1
8-0-1Fiche domicile8-1-0
6-3-0Fiche domicile6-3-0
8-2-0Derniers 10 matchs7-3-0
3.33Buts par match 3.06
2.00Buts contre par match 1.89
13.79%Pourcentage en avantage numérique20.00%
89.13%Pourcentage en désavantage numérique91.51%
67s
5-10-2, 12pts
2
FINAL
3 Bruins
14-3-1, 29pts
Team Stats
L1SéquenceW2
2-6-1Fiche domicile8-0-1
3-4-1Fiche domicile6-3-0
3-6-1Derniers 10 matchs8-2-0
2.00Buts par match 3.33
2.76Buts contre par match 2.00
12.50%Pourcentage en avantage numérique13.79%
87.10%Pourcentage en désavantage numérique89.13%
Bruins
14-3-1, 29pts
Jour 35
Phantoms
11-6-0, 22pts
Statistiques d’équipe
W2SéquenceW3
8-0-1Fiche domicile5-4-0
6-3-0Fiche visiteur6-2-0
8-2-010 derniers matchs7-3-0
3.33Buts par match 2.82
2.00Buts contre par match 2.82
13.79%Pourcentage en avantage numérique14.95%
89.13%Pourcentage en désavantage numérique87.85%
Bruins
14-3-1, 29pts
Jour 36
Gulls
7-9-1, 15pts
Statistiques d’équipe
W2SéquenceL2
8-0-1Fiche domicile4-4-1
6-3-0Fiche visiteur3-5-0
8-2-010 derniers matchs4-5-1
3.33Buts par match 2.47
2.00Buts contre par match 2.47
13.79%Pourcentage en avantage numérique16.36%
89.13%Pourcentage en désavantage numérique84.62%
Penguins
9-7-1, 19pts
Jour 38
Bruins
14-3-1, 29pts
Statistiques d’équipe
W1SéquenceW2
4-4-1Fiche domicile8-0-1
5-3-0Fiche visiteur6-3-0
5-4-110 derniers matchs8-2-0
2.41Buts par match 3.33
2.35Buts contre par match 3.33
17.24%Pourcentage en avantage numérique13.79%
91.13%Pourcentage en désavantage numérique89.13%
Meneurs d'équipe
Buts
Jack McBain
9
Passes
Matt Grzelcyk
15
Points
Jack McBain
17
Plus/Moins
Zach Senyshyn
9
Victoires
Pyotr Kochetkov
11
Pourcentage d’arrêts
Joel Hofer
1

Statistiques d’équipe
Buts pour
60
3.33 GFG
Tirs pour
319
17.72 Avg
Pourcentage en avantage numérique
13.8%
16 GF
Début de zone offensive
38.6%
Buts contre
36
2.00 GAA
Tirs contre
303
16.83 Avg
Pourcentage en désavantage numérique
89.1%%
10 GA
Début de la zone défensive
39.8%
Informations de l'équipe

Directeur généralDominic Rozon
EntraîneurDavid Quinn
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 60
Espoirs14


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
1Akil Thomas (R)0X100.00696482676452516075516561624444625000231910,833$
2Jack McBain (R)0XX100.009980787783676458766368822555557250002331,350,000$
3Hudson Elynuik0X100.00717563667558595468535060484444565000251750,000$
4Jean-Sebastien Dea (R)0X100.00676181756182876379596460614444655000291750,000$
5Isak Rosen (R)0X100.006858926658727560505758605544446250002031,450,000$
6Nick Cousins0XX100.007656857766599157506860645870726650003011,000,000$
7Martin Kaut0X100.006742968065567665346060672550506550002311,288,333$
8Pierre Engvall0XX100.006743907481659469516373702564657150002711,250,000$
9Ryan Donato0XX100.007557818370598964466472686166667150002721,900,000$
10Jachym Kondelik (R)0X100.00848483658456585164475166484444575000233925,000$
11David Gustafsson0XX100.00654295787356656062615578255353645000233775,000$
12Oskar Sundqvist0XX98.007344878177668072417268682566667150002912,750,000$
13Chris Wideman0X100.0065535373656272662550476625575758500N0331762,500$
14Cam Dineen0X100.00756792666773785625554263404747575000251750,000$
15Jakub Zboril0X99.007944917773624355255148787558586150002641,137,500$
16Matt Grzelcyk0X100.006941888361729161256348662566696350002911,400,000$
17Tobias Bjornfot0X100.007973947473748149253742664058585650002231,052,500$
18Jeremy Davies0X100.0065666268667379532539515748464656500N0261750,000$
Rayé
1Zach Senyshyn (R)0X90.37787586637575815350475464514545595000264750,000$
2Michael Vukojevic (R)0X100.00817986667959634325304162394444525000221925,000$
MOYENNE D’ÉQUIPE99.3574608373716574584655566643535462500
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
1Pyotr Kochetkov (R)099.0066535281656792677967754647695000243925,000$
2Spencer Knight0100.0068626078785883676767655051685000221925,000$
Rayé
1Joel Hofer (R)0100.0060546866646656646563304444615000231910,833$
2Dustin Tokarski0100.005850637461595562605995484859500N0331775,000$
MOYENNE D’ÉQUIPE99.756355617567637265686466474864500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn85818278827768USA5721,500,000$


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
1Jack McBainBruins (BOS)C/LW18981754210464542123121.43%236020.0542622890110512159.02%30500000.9401011231
2Matt GrzelcykBruins (BOS)D171151601001316831212.50%2137522.07189889000066000%000000.8500000011
3Nick CousinsBruins (BOS)C/LW1869153208271782035.29%033318.503366880000292052.17%2300000.9011000310
4Martin KautBruins (BOS)RW1831215900612358168.57%129016.130881185000010020.00%1500001.0300000013
5Pierre EngvallBruins (BOS)LW/RW18691550014234093015.00%136220.1321314871012602147.50%4000000.8300000131
6Ryan DonatoBruins (BOS)C/LW18951432610292737111724.32%436420.2521312790001682050.26%19300000.7701011311
7David GustafssonBruins (BOS)C/LW18471171209422861514.29%426414.70000011011151046.05%21500000.8300000210
8Jean-Sebastien DeaBruins (BOS)C18371070016202091815.00%028215.6800001000021039.13%4600000.7100000022
9Cam DineenBruins (BOS)D1817899520964916.67%339121.73123685000069000%100000.4100100000
10Zach SenyshynBruins (BOS)RW16718980151592577.78%01459.10101110000001150.00%400001.1000000102
11Jakub ZborilBruins (BOS)D18358026025161341423.08%1039021.712351188000060000%000000.4100000010
12Isak RosenBruins (BOS)RW183362609101931015.79%326314.63011139000001050.00%1200000.4600000000
13Tobias BjornfotBruins (BOS)D1814563410211250520.00%1328315.77000221000014100%000000.3500101000
14Oskar SundqvistBruins (BOS)C/RW11145-1001128187175.56%022920.860006410000480032.86%28000000.4401000001
15Chris WidemanBruins (BOS)D18134832034121041310.00%1137921.06011781022058000%000000.2100000000
16Jeremy DaviesBruins (BOS)D1703374352792020%327516.1800007000034000%000000.2200000000
17Akil ThomasBruins (BOS)C18022120376030%11226.800000270001170061.02%5900000.3300000000
18Jachym KondelikBruins (BOS)C181123606330533.33%0553.10011113000000050.00%1200000.7200000000
19Hudson ElynuikBruins (BOS)C9000000111000%0242.75000000001180071.43%140000000000000
20Michael VukojevicBruins (BOS)D2000100010000%23517.680000000004000%00000000000000
Statistiques d’équipe totales ou en moyenne3245910516484258403133353199024218.50%79522916.14163147108942235662213347.58%121900000.6314223121412
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
1Pyotr KochetkovBruins (BOS)1711300.8812.08864013025201000170010
2Spencer KnightBruins (BOS)52010.8502.03177006400001.0004018000
3Joel HoferBruins (BOS)11001.000043000110000010000
Statistiques d’équipe totales ou en moyenne2314310.8811.991085013630301041818010


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Akil ThomasBruins (BOS)C232000-01-02Yes177 Lbs5 ft11NoNoNoNo1Pro & Farm910,833$716,914$450,000$354,194$0$0$NoLien
Cam DineenBruins (BOS)D251998-06-18No185 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Chris WidemanBruins (BOS)D331990-01-07No183 Lbs5 ft10YesNoNoNo1Pro & Farm762,500$600,161$762,500$600,161$0$0$NoLien
David GustafssonBruins (BOS)C/LW232000-04-11No196 Lbs6 ft2NoNoNoNo3Pro & Farm775,000$610,000$775,000$610,000$0$0$No775,000$775,000$Lien
Dustin TokarskiBruins (BOS)G331989-09-15No205 Lbs6 ft0YesNoNoNo1Pro & Farm775,000$610,000$775,000$610,000$0$0$NoLien
Hudson ElynuikBruins (BOS)C251997-10-12No194 Lbs6 ft5NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Isak RosenBruins (BOS)RW202003-03-15Yes156 Lbs5 ft11NoNoNoNo3Pro & Farm1,450,000$1,141,290$1,450,000$1,141,290$0$0$No1,450,000$1,450,000$
Jachym KondelikBruins (BOS)C231999-12-21Yes218 Lbs6 ft7NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Jack McBainBruins (BOS)C/LW232000-06-06Yes218 Lbs6 ft4NoNoNoNo3Pro & Farm1,350,000$1,062,581$1,350,000$1,062,581$0$0$No1,350,000$1,350,000$Lien
Jakub ZborilBruins (BOS)D261997-02-21No200 Lbs6 ft0NoNoNoNo4Pro & Farm1,137,500$895,323$1,137,500$895,323$0$0$No1,137,500$1,137,500$1,137,500$Lien
Jean-Sebastien DeaBruins (BOS)C291994-02-08Yes168 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Jeremy DaviesBruins (BOS)D261996-12-04No181 Lbs5 ft11YesNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Joel HoferBruins (BOS)G232000-07-30Yes161 Lbs6 ft3NoNoNoNo1Pro & Farm910,833$716,914$450,000$354,194$0$0$NoLien
Martin KautBruins (BOS)RW231999-10-02No174 Lbs6 ft1NoNoNoNo1Pro & Farm1,288,333$1,014,043$1,288,333$1,014,043$0$0$NoLien
Matt GrzelcykBruins (BOS)D291994-01-05No174 Lbs5 ft9NoNoNoNo1Pro & Farm1,400,000$1,101,935$1,400,000$1,101,935$0$0$NoLien
Michael VukojevicBruins (BOS)D222001-06-08Yes212 Lbs6 ft3NoNoNoNo1Pro & Farm925,000$728,065$450,000$354,194$0$0$NoLien
Nick CousinsBruins (BOS)C/LW301993-07-19No183 Lbs5 ft11NoNoNoNo1Pro & Farm1,000,000$787,097$1,000,000$787,097$0$0$NoLien
Oskar SundqvistBruins (BOS)C/RW291994-03-23No209 Lbs6 ft3NoNoNoNo1Pro & Farm2,750,000$2,164,516$2,750,000$2,164,516$0$0$NoLien
Pierre EngvallBruins (BOS)LW/RW271996-05-31No214 Lbs6 ft5NoNoNoNo1Pro & Farm1,250,000$983,871$1,250,000$983,871$0$0$NoLien
Pyotr KochetkovBruins (BOS)G241999-06-25Yes205 Lbs6 ft3NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$Lien
Ryan DonatoBruins (BOS)C/LW271996-04-09No192 Lbs6 ft0NoNoNoNo2Pro & Farm1,900,000$1,495,484$832,500$655,258$0$0$No1,900,000$Lien
Spencer KnightBruins (BOS)G222001-04-18No193 Lbs6 ft3NoNoNoNo1Pro & Farm925,000$728,065$925,000$728,065$0$0$NoLien
Tobias BjornfotBruins (BOS)D222001-04-06No202 Lbs6 ft0NoNoNoNo3Pro & Farm1,052,500$828,419$1,052,500$828,419$0$0$No1,052,500$1,052,500$Lien
Zach Senyshyn (sur la masse salariale)Bruins (BOS)RW261997-03-30Yes205 Lbs6 ft1NoNoNoNo4Pro & Farm750,000$590,323$750,000$590,323$0$0$Yes750,000$750,000$750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.54192 Lbs6 ft11.791,090,104$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoOskar SundqvistPierre Engvall35122
2Nick CousinsJack McBainMartin Kaut30122
3Jean-Sebastien DeaDavid GustafssonIsak Rosen25122
4Oskar SundqvistJean-Sebastien DeaRyan Donato10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt GrzelcykJakub Zboril35122
2Chris WidemanCam Dineen30122
3Tobias BjornfotJeremy Davies25122
4Matt GrzelcykJakub Zboril10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoOskar SundqvistPierre Engvall60122
2Nick CousinsJack McBainMartin Kaut40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt GrzelcykJakub Zboril60122
2Chris WidemanCam Dineen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Oskar SundqvistRyan Donato60122
2Pierre EngvallJack McBain40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt GrzelcykJakub Zboril60122
2Chris WidemanCam Dineen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oskar Sundqvist60122Matt GrzelcykJakub Zboril60122
2Ryan Donato40122Chris WidemanCam Dineen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oskar SundqvistRyan Donato60122
2Pierre EngvallJack McBain40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt GrzelcykJakub Zboril60122
2Chris WidemanCam Dineen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DonatoOskar SundqvistPierre EngvallMatt GrzelcykJakub Zboril
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DonatoOskar SundqvistPierre EngvallMatt GrzelcykJakub Zboril
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Akil Thomas, Jachym Kondelik, Hudson ElynuikAkil Thomas, Jachym KondelikHudson Elynuik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tobias Bjornfot, Jeremy Davies, Chris WidemanTobias BjornfotJeremy Davies, Chris Wideman
Tirs de pénalité
Oskar Sundqvist, Ryan Donato, Pierre Engvall, Jack McBain, Nick Cousins
Gardien
#1 : Pyotr Kochetkov, #2 : Spencer Knight
Lignes d’attaque personnalisées en prolongation
Oskar Sundqvist, Ryan Donato, Pierre Engvall, Jack McBain, Nick Cousins, David Gustafsson, David Gustafsson, Martin Kaut, Jean-Sebastien Dea, Isak Rosen, Akil Thomas
Lignes de défense personnalisées en prolongation
Matt Grzelcyk, Jakub Zboril, Chris Wideman, Cam Dineen, Tobias Bjornfot


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
167s330000001064220000007521100000031261.00010182800221720175110109977581152492813.57%19289.47%023546950.11%22748347.00%11826344.87%421285432143232114
2Crunch430001001813532000100131121100000052370.875183048002217201631101099776916617123626.09%20480.00%023546950.11%22748347.00%11826344.87%421285432143232114
3Eagles21100000642000000000002110000064220.50061218002217201301101099774017132415213.33%40100.00%023546950.11%22748347.00%11826344.87%421285432143232114
4Griffins22000000615110000004131100000020241.0006915012217201321101099772612423410220.00%15193.33%023546950.11%22748347.00%11826344.87%421285432143232114
5Marlies330000001046220000006331100000041361.00010192900221720156110109977569406612216.67%19194.74%223546950.11%22748347.00%11826344.87%421285432143232114
6Moose1010000001-1000000000001010000001-100.0000000022172019110109977144921800.00%20100.00%023546950.11%22748347.00%11826344.87%421285432143232114
7Phantoms11000000624110000006240000000000021.000611170022172012311010997716410129111.11%5180.00%023546950.11%22748347.00%11826344.87%421285432143232114
8Rocket2010001045-1000000000002010001045-120.500461000221720131110109977246313611218.18%8187.50%023546950.11%22748347.00%11826344.87%421285432143232114
Total18133001106036249800010036221495300010241410290.80660105165012217201319110109977303792583131161613.79%921089.13%223546950.11%22748347.00%11826344.87%421285432143232114
_Since Last GM Reset18133001106036249800010036221495300010241410290.80660105165012217201319110109977303792583131161613.79%921089.13%223546950.11%22748347.00%11826344.87%421285432143232114
_Vs Conference131010011048301887000100322111531000101697230.885488413200221720124811010997722346194234831214.46%71987.32%223546950.11%22748347.00%11826344.87%421285432143232114
_Vs Division14910011048291986000100302010631000101899210.750488213001221720125711010997723354226256841315.48%81988.89%223546950.11%22748347.00%11826344.87%421285432143232114

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1829W2601051653193037925831301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1813301106036
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
98001003622
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95300102414
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1161613.79%921089.13%2
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
1101099772217201
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
23546950.11%22748347.00%11826344.87%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
421285432143232114


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
14Bruins2Eagles3ALSommaire du match
312Bruins2Rocket1AWXXSommaire du match
520Crunch5Bruins4BLXSommaire du match
833Bruins4Marlies1AWSommaire du match
941Marlies2Bruins3BWSommaire du match
125767s3Bruins4BWSommaire du match
1370Bruins367s1AWSommaire du match
1579Marlies1Bruins3BWSommaire du match
1790Bruins0Moose1ALSommaire du match
19101Crunch3Bruins5BWSommaire du match
21114Bruins4Eagles1AWSommaire du match
22122Phantoms2Bruins6BWSommaire du match
23133Bruins2Griffins0AWSommaire du match
26144Griffins1Bruins4BWSommaire du match
29162Crunch3Bruins4BWSommaire du match
30172Bruins2Rocket4ALSommaire du match
31180Bruins5Crunch2AWSommaire du match
3319167s2Bruins3BWSommaire du match
35201Bruins-Phantoms-
36209Bruins-Gulls-
38217Penguins-Bruins-
40230Bruins-Marlies-
42240Rocket-Bruins-
43249Bruins-Monsters-
45261Gulls-Bruins-
46272Bruins-Wolf Pack-
48283Bruins-Wolves-
49288Phantoms-Bruins-
52306Penguins-Bruins-
53320Bruins-Thunderbird-
55329Thunderbird-Bruins-
58344Sound Tigers-Bruins-
60353Bruins-Phantoms-
62360Bruins-Barracuda-
64371Phantoms-Bruins-
66384Bruins-Monsters-
67392Sound Tigers-Bruins-
70407Crunch-Bruins-
71415Bruins-Sound Tigers-
73427Bruins-Griffins-
75436Barracuda-Bruins-
76445Bruins-Griffins-
78457Bruins-Sound Tigers-
79466Condors-Bruins-
81478Bruins-Eagles-
82484Griffins-Bruins-
85502Stars-Bruins-
8952067s-Bruins-
91532Bruins-Marlies-
92542Rocket-Bruins-
94552Bruins-67s-
96564Rocket-Bruins-
97573Bruins-67s-
99584Bruins-Stars-
100591Stars-Bruins-
102607Monarchs-Bruins-
104614Bruins-Heat-
106628Griffins-Bruins-
108636Bruins-Monarchs-
109645Bruins-IceHogs-
111655Marlies-Bruins-
114672Moose-Bruins-
115680Bruins-Moose-
117691Bruins-Wolf Pack-
118700Marlies-Bruins-
120715Wolves-Bruins-
121725Bruins-Crunch-
123734Bruins-Rocket-
124742Bruins-Eagles-
125748IceHogs-Bruins-
128767Monsters-Bruins-
131781Eagles-Bruins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
132786Bruins-Crunch-
134802Heat-Bruins-
136811Bruins-Condors-
138822Bruins-Rocket-
141833Heat-Bruins-
144849Bruins-Penguins-
145853Wolf Pack-Bruins-
146864Bruins-Penguins-
149879Monsters-Bruins-
152894Wolf Pack-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
847,954$ 2,541,249$ 2,294,833$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 528,605$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 122 26,073$ 3,180,906$




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