Connexion

Bruins
GP: 82 | W: 47 | L: 25 | OTL: 10 | P: 104
GF: 174 | GA: 131 | PP%: 15.27% | PK%: 88.19%
DG: Patrick Doyon | Morale : 50 | Moyenne d’équipe : 58
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Centre de jeu
Bruins
47-25-10, 104pts
2
FINAL
1 Bears
29-38-15, 73pts
Team Stats
L1SéquenceL1
28-8-5Fiche domicile16-17-8
19-17-5Fiche domicile13-21-7
5-4-1Derniers 10 matchs4-5-1
2.12Buts par match 1.99
1.60Buts contre par match 2.45
15.27%Pourcentage en avantage numérique18.04%
88.19%Pourcentage en désavantage numérique81.72%
Senators
46-32-4, 96pts
2
FINAL
1 Bruins
47-25-10, 104pts
Team Stats
W1SéquenceL1
21-16-4Fiche domicile28-8-5
25-16-0Fiche domicile19-17-5
7-3-0Derniers 10 matchs5-4-1
2.30Buts par match 2.12
2.12Buts contre par match 1.60
18.67%Pourcentage en avantage numérique15.27%
87.46%Pourcentage en désavantage numérique88.19%
Meneurs d'équipe
Buts
Kiefer Sherwood
29
Passes
Jacob MacDonald
35
Points
Kiefer Sherwood
57
Plus/Moins
Kiefer Sherwood
37
Victoires
Cayden Primeau
47
Pourcentage d’arrêts
Jesper Wallstedt
1

Statistiques d’équipe
Buts pour
174
2.12 GFG
Tirs pour
1453
17.72 Avg
Pourcentage en avantage numérique
15.3%
42 GF
Début de zone offensive
40.5%
Buts contre
131
1.60 GAA
Tirs contre
1364
16.63 Avg
Pourcentage en désavantage numérique
88.2%%
34 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralPatrick Doyon
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,860
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 50
Espoirs23


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
1Kiefer SherwoodXX100.007459637473807371456667677166570506802721,000,000$
2Jean-Luc Foudy (R)X100.00634467706061596358625563635050050610203847,500$
3William Dufour (R)X100.00604463646560616442636154635050050600203859,167$
4Luke Henman (R)X100.00574865705663626051545356615150050580222791,667$
5Sampo RantaX100.00614568646562626141555554605150050580222925,000$
6Matthew WedmanX100.00624161596760605840545456575150050570233560,000$
7Akil Thomas (R)X100.00564467675960575647515353595150050560222795,000$
8Jack KopackaX100.00717280657249495049425261514444050550241800,000$
9Matej Pekar (R)XX100.00604766636461585647515153575150050550222764,167$
10Reece Newkirk (R)X100.00564765675859565550515153585050050550213828,333$
11Jonathan AngX100.00576181576159634868454257454444050520241825,000$
12Jacob MacDonaldX100.00715573727577787040656168686757050680292900,000$
13Nicolas MelocheX100.00714463697371676540625770635550050650252925,000$
14Marc Del Gaizo (R)X100.00585566716365646440625566635150050620221850,833$
15Declan Carlile (R)X100.00664863706462616040575668625150050620222750,000$
16Jeremy Groleau (R)X100.00654571686663625940545266605150050610222750,000$
17Josh BrookX100.00624068676360595740545466595150050600231795,000$
18Donovan Sebrango (R)X100.00604870666559575840515359595050050580202850,833$
Rayé
1Zachary GallantX100.00677266607246474762454258424444050520231525,000$
2Julius Nattinen (R)X100.00334544446629293344323244383230050390251899,000$
MOYENNE D’ÉQUIPE100.0062506765656059584654536058514905058
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
1Cayden Primeau100.0072666974717173707371655451050650232925,000$
2Jesper Wallstedt (R)100.0068606369686971686966615050050620193925,000$
Rayé
1Mitchell Weeks (R)100.006658576563646664646257505005058N0212620,000$
2Alex D'Orio (R)100.0045394880464650504848284440050470231875,000$
MOYENNE D’ÉQUIPE100.006356597262636563646253504805058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Kiefer SherwoodBruins (Bos)LW/RW82292857376401711722317217812.55%10192223.455382823601172549250.67%30000100.592150001149
2Jacob MacDonaldBruins (Bos)D821235471952014510276507315.79%58185622.637121951252022223331100.00%200000.5100000553
3Nicolas MelocheBruins (Bos)D79112738148951538282345013.41%58160420.315813472260003205620%000000.4700000435
4Jean-Luc FoudyBruins (Bos)C8282735301005413010427677.69%8158019.270771723210141792055.19%150400000.44212000243
5Luke HenmanBruins (Bos)C82111627-33008113697406811.34%6150618.373710182200001602248.26%129100000.3625000112
6Marc Del GaizoBruins (Bos)D82619251133571777524418.00%49153518.72347531990110209300%000000.3300010114
7Jake SandersonBostonD2752025300234734152314.71%1661022.62210122381011181110%000000.8200000223
8William DufourBruins (Bos)RW821212249300977112323769.76%5158719.362242322400011351240.43%14100000.3019000412
9Declan CarlileBruins (Bos)D811013233500152726254216.13%54138317.08729351620001142100%000000.3300000223
10Sampo RantaBruins (Bos)LW8271421-328089589027537.78%2144817.66268182200000152057.69%7800000.2911000100
11Jeremy GroleauBruins (Bos)D82020201247510553236220%40111213.57022221011041000%000000.3600000011
12Matthew WedmanBruins (Bos)LW82611172480102428823566.82%8121214.79101535000031152.13%9400000.2800000123
13Akil ThomasBruins (Bos)C826814310044966620519.09%5123815.100000221012671149.52%82600000.2300000120
14Josh BrookBruins (Bos)D82311146320616426152411.54%33104312.720003210000810133.33%300000.2700000110
15Matej PekarBruins (Bos)C/RW7774110280683859183611.86%2125016.250225930000303044.71%8500000.1800000220
16Jack KopackaBruins (Bos)LW82641010260352329132820.69%782910.11000061011771045.45%3300000.2400000011
17Donovan SebrangoBruins (Bos)D681344805618117109.09%164887.180000300007000%000000.1600000001
18Reece NewkirkBruins (Bos)C47224-2601629174911.76%24299.13000010000400052.72%23900000.1900000001
19Connor DewarBostonC/LW11121204252820.00%02222.3801101000051083.33%2400001.7900000100
20Zachary GallantBruins (Bos)C1410112015342125.00%0987.0600002000040160.00%1000000.2000000000
21Jonathan AngBruins (Bos)C9000000311010%0374.20000170000000100.00%40000000000000
Statistiques d’équipe totales ou en moyenne13871442754191575951515451316130342791711.05%3792279916.4437661033292273369231878371451.29%463400100.37842010393241
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
1Cayden PrimeauBruins (Bos)824725100.9121.454970101612013580220.68050820664
2Jesper WallstedtBruins (Bos)10001.000022000400000082010
Statistiques d’équipe totales ou en moyenne834725100.9121.44499310161201362022508282674


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 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)C222000-01-02Yes172 Lbs6 ft0NoNoNoNo2Pro & Farm795,000$0$0$No795,000$Lien
Alex D'OrioBruins (Bos)G231999-04-28Yes209 Lbs6 ft2NoNoNoNo1Pro & Farm875,000$0$0$NoLien
Cayden PrimeauBruins (Bos)G231999-08-11No203 Lbs6 ft3NoNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Declan CarlileBruins (Bos)D222000-05-18Yes190 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Donovan SebrangoBruins (Bos)D202002-01-12Yes194 Lbs6 ft1NoNoNoNo2Pro & Farm850,833$0$0$No850,833$Lien
Jack KopackaBruins (Bos)LW241998-03-05No191 Lbs6 ft2NoNoYesYes1Pro & Farm800,000$0$0$NoLien
Jacob MacDonald (contrat à 1 volet)Bruins (Bos)D291993-02-26No204 Lbs6 ft0NoNoYesYes2Pro & Farm900,000$0$0$No900,000$Lien
Jean-Luc FoudyBruins (Bos)C202002-05-13Yes176 Lbs5 ft11NoNoNoNo3Pro & Farm847,500$0$0$No847,500$847,500$Lien
Jeremy GroleauBruins (Bos)D221999-10-25Yes194 Lbs6 ft3NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Jesper WallstedtBruins (Bos)G192002-11-14Yes214 Lbs6 ft3NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Jonathan AngBruins (Bos)C241998-01-31No165 Lbs5 ft11NoNoYesYes1Pro & Farm825,000$0$0$NoLien
Josh BrookBruins (Bos)D231999-06-17No190 Lbs6 ft2NoNoNoNo1Pro & Farm795,000$0$0$NoLien
Julius NattinenBruins (Bos)C251997-01-14Yes192 Lbs6 ft2NoNoYesYes1Pro & Farm899,000$0$0$NoLien
Kiefer Sherwood (contrat à 1 volet)Bruins (Bos)LW/RW271995-03-31No194 Lbs6 ft0NoNoYesYes2Pro & Farm1,000,000$100,000$0$No1,000,000$Lien
Luke HenmanBruins (Bos)C222000-04-29Yes152 Lbs6 ft0NoNoNoNo2Pro & Farm791,667$0$0$No791,667$Lien
Marc Del GaizoBruins (Bos)D221999-10-11Yes187 Lbs5 ft10NoNoNoNo1Pro & Farm850,833$0$0$NoLien
Matej PekarBruins (Bos)C/RW222000-02-10Yes185 Lbs6 ft1NoNoNoNo2Pro & Farm764,167$0$0$No764,167$Lien
Matthew WedmanBruins (Bos)LW231999-05-25No209 Lbs6 ft4NoNoNoNo3Pro & Farm560,000$0$0$No560,000$560,000$Lien
Mitchell Weeks (contrat à 1 volet)Bruins (Bos)G212001-06-22Yes185 Lbs6 ft3YesNoNoNo2Pro & Farm620,000$0$0$No620,000$Lien
Nicolas MelocheBruins (Bos)D251997-07-18No205 Lbs6 ft3NoNoYesYes2Pro & Farm925,000$0$0$No925,000$Lien
Reece NewkirkBruins (Bos)C212001-02-20Yes172 Lbs5 ft11NoNoNoNo3Pro & Farm828,333$0$0$No828,333$828,333$Lien
Sampo RantaBruins (Bos)LW222000-05-31No194 Lbs6 ft2NoNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
William DufourBruins (Bos)RW202002-01-28Yes194 Lbs6 ft3NoNoNoNo3Pro & Farm859,167$0$0$No859,167$859,167$
Zachary GallantBruins (Bos)C231999-03-06No194 Lbs6 ft2NoNoNoNo1Pro & Farm525,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2422.67190 Lbs6 ft11.92816,104$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodJean-Luc FoudyWilliam Dufour40122
2Sampo RantaLuke HenmanMatej Pekar30122
3Matthew WedmanAkil ThomasReece Newkirk20122
4Jack KopackaReece NewkirkKiefer Sherwood10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldNicolas Meloche40122
2Declan CarlileMarc Del Gaizo30122
3Jeremy GroleauJosh Brook20122
4Donovan SebrangoJacob MacDonald10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodJean-Luc FoudyWilliam Dufour60122
2Sampo RantaLuke HenmanMatej Pekar40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldNicolas Meloche60122
2Declan CarlileMarc Del Gaizo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kiefer SherwoodJean-Luc Foudy60122
2William DufourLuke Henman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldNicolas Meloche60122
2Declan CarlileMarc Del Gaizo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kiefer Sherwood60122Jacob MacDonaldNicolas Meloche60122
2Jean-Luc Foudy40122Declan CarlileMarc Del Gaizo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kiefer SherwoodJean-Luc Foudy60122
2William DufourLuke Henman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldNicolas Meloche60122
2Declan CarlileMarc Del Gaizo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kiefer SherwoodJean-Luc FoudyWilliam DufourJacob MacDonaldNicolas Meloche
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kiefer SherwoodJean-Luc FoudyWilliam DufourJacob MacDonaldNicolas Meloche
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Ang, Matthew Wedman, Akil ThomasJonathan Ang, Matthew WedmanAkil Thomas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeremy Groleau, Josh Brook, Donovan SebrangoJeremy GroleauJosh Brook, Donovan Sebrango
Tirs de pénalité
Kiefer Sherwood, Jean-Luc Foudy, William Dufour, Luke Henman, Sampo Ranta
Gardien
#1 : Cayden Primeau, #2 : Jesper Wallstedt


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
1Admirals22000000716110000005141100000020241.0007132001505858133850548743873261114417342.86%70100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
2Baby Hawks2110000023-1110000002111010000002-220.50024600505858132750548743873331218437114.29%9188.89%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
3Bears31101000642110000002022010100044040.6676111701505858134650548743873541735567114.29%10190.00%11095209352.32%1039197352.66%599109754.60%2109147618555821036533
4Cabaret Lady Mary Ann42100010936210000104132110000052360.750915240150585813815054874387341928591715.88%13192.31%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
5Caroline31100010431211000002201000001021140.66746100150585813485054874387338918542114.76%8187.50%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
6Chiefs21100000642110000004131010000023-120.500691500505858134350548743873256103811327.27%50100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
7Chill21000001541110000003121000000123-130.750510150050585813275054874387331812436116.67%4250.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
8Comets2110000013-2110000001011010000003-320.50012301505858132450548743873308836500.00%30100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
9Cougars413000009902020000015-42110000084420.2509172601505858137050548743873791537701317.69%16475.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
10Crunch320000101138110000007252100001041361.00011193001505858138050548743873591724848112.50%110100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
11Heat2010001045-1100000104311010000002-220.500461000505858133350548743873311014438112.50%7357.14%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
12Jayhawks22000000826110000003031100000052341.000813210150585813625054874387337418586350.00%90100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
13Las Vegas22000000312110000002111100000010141.00036901505858132950548743873217640300.00%30100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
14Manchots31100001532210000015231010000001-130.50051015015058581346505487438735518286410220.00%130100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
15Marlies42100001770210000014402110000033050.62571421005058581362505487438737520328511218.18%16287.50%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
16Minnesota21100000550110000002111010000034-120.500591400505858132850548743873291412356116.67%5180.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
17Monarchs21000001422110000003031000000112-130.75046100150585813465054874387321622346233.33%100100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
18Monsters31100010651100000102112110000044040.667671300505858135150548743873602024489222.22%12191.67%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
19Monsters2110000045-1110000003211010000013-220.5004711105058581325505487438733381843500.00%90100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
20Oceanics21100000321110000002021010000012-120.500358015058581332505487438732958347114.29%4175.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
21Oil Kings22000000716110000004041100000031241.0007101701505858133350548743873231112536233.33%50100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
22Phantoms3120000057-21010000013-22110000044020.3335101510505858134550548743873421423581200.00%80100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
23Rocket4210000167-12110000034-12100000133050.6256101600505858136750548743873752038641317.69%19668.42%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
24Sags21000010642100000102111100000043141.000691500505858134250548743873311016346350.00%7271.43%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
25Seattle21000001532110000003031000000123-130.750510150150585813305054874387336116466233.33%30100.00%11095209352.32%1039197352.66%599109754.60%2109147618555821036533
26Senators32100000642211000004311100000021140.66761117005058581347505487438735412314515320.00%13192.31%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
27Sound Tigers3100000256-11000000123-12100000133040.6675712005058581346505487438735617345812216.67%16193.75%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
28Spiders3020000137-42010000125-31010000012-110.16736900505858134150548743873672031581317.69%11372.73%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
29Stars2010010036-31000010023-11010000013-210.2503690050585813335054874387339101842300.00%70100.00%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
30Thunder4210100015872100100011562110000043160.750152742015058581311850548743873742628105600.00%14285.71%01095209352.32%1039197352.66%599109754.60%2109147618555821036533
31Wolf Pack321000004402110000034-11100000010140.6674711015058581353505487438736020246910110.00%11190.91%11095209352.32%1039197352.66%599109754.60%2109147618555821036533
Total8239250216917413143412380114498593941161701025767241040.63417430247621650585813145350548743873136439564716402754215.27%2883488.19%31095209352.32%1039197352.66%599109754.60%2109147618555821036533
_Since Last GM Reset8239250216917413143412380114498593941161701025767241040.63417430247621650585813145350548743873136439564716402754215.27%2883488.19%31095209352.32%1039197352.66%599109754.60%2109147618555821036533
_Vs Conference42191202027876819211040102451331821980100336351530.631871532401750585813740505487438737352243628321372417.52%1561789.10%21095209352.32%1039197352.66%599109754.60%2109147618555821036533
_Vs Division266200013634122134000011342410132200002291712170.3276311317604505858135255054874387345711921851283910.84%1021684.31%01095209352.32%1039197352.66%599109754.60%2109147618555821036533

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82104L1174302476145313643956471640216
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8239252169174131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4123811449859
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41161710257672
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2754215.27%2883488.19%3
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
5054874387350585813
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
1095209352.32%1039197352.66%599109754.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2109147618555821036533


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
2 - 2023-10-116Baby Hawks1Bruins2BWSommaire du match
5 - 2023-10-1421Chill1Bruins3BWSommaire du match
10 - 2023-10-1961Bruins4Sags3AWSommaire du match
12 - 2023-10-2179Bruins1Monarchs2ALXXSommaire du match
13 - 2023-10-2281Bruins2Admirals0AWSommaire du match
15 - 2023-10-2492Bruins0Baby Hawks2ALSommaire du match
17 - 2023-10-26100Admirals1Bruins5BWSommaire du match
19 - 2023-10-28120Cougars2Bruins1BLSommaire du match
21 - 2023-10-30130Cabaret Lady Mary Ann1Bruins2BWXXSommaire du match
24 - 2023-11-02145Marlies1Bruins2BWSommaire du match
26 - 2023-11-04162Bruins6Cougars0AWSommaire du match
28 - 2023-11-06178Bruins1Stars3ALSommaire du match
31 - 2023-11-09193Sound Tigers3Bruins2BLXXSommaire du match
33 - 2023-11-11212Bruins2Rocket1AWSommaire du match
36 - 2023-11-14229Bruins2Crunch1AWXXSommaire du match
40 - 2023-11-18260Rocket1Bruins2BWSommaire du match
42 - 2023-11-20273Bruins4Thunder0AWSommaire du match
44 - 2023-11-22282Bruins0Cabaret Lady Mary Ann1ALSommaire du match
46 - 2023-11-24293Cougars3Bruins0BLSommaire du match
47 - 2023-11-25308Bruins1Wolf Pack0AWSommaire du match
49 - 2023-11-27321Bruins2Monsters1AWSommaire du match
52 - 2023-11-30340Sags1Bruins2BWXXSommaire du match
54 - 2023-12-02364Bruins3Marlies1AWSommaire du match
55 - 2023-12-03371Monsters1Bruins2BWXXSommaire du match
59 - 2023-12-07392Crunch2Bruins7BWSommaire du match
61 - 2023-12-09408Jayhawks0Bruins3BWSommaire du match
65 - 2023-12-13443Bruins1Spiders2ALSommaire du match
67 - 2023-12-15457Bruins1Sound Tigers2ALXXSommaire du match
68 - 2023-12-16463Wolf Pack1Bruins2BWSommaire du match
71 - 2023-12-19484Minnesota1Bruins2BWSommaire du match
74 - 2023-12-22512Bruins1Oceanics2ALSommaire du match
75 - 2023-12-23516Bruins3Minnesota4ALSommaire du match
79 - 2023-12-27532Bruins2Crunch0AWSommaire du match
82 - 2023-12-30557Spiders3Bruins2BLXXSommaire du match
83 - 2023-12-31565Bruins2Cougars4ALSommaire du match
85 - 2024-01-02574Bruins2Monsters3ALSommaire du match
87 - 2024-01-04589Manchots0Bruins4BWSommaire du match
89 - 2024-01-06608Thunder2Bruins7BWSommaire du match
91 - 2024-01-08624Bruins1Monsters3ALSommaire du match
92 - 2024-01-09633Bruins5Jayhawks2AWSommaire du match
94 - 2024-01-11650Bruins1Las Vegas0AWSommaire du match
96 - 2024-01-13667Bruins2Chiefs3ALSommaire du match
98 - 2024-01-15671Spiders2Bruins0BLSommaire du match
101 - 2024-01-18692Monsters2Bruins3BWSommaire du match
103 - 2024-01-20711Rocket3Bruins1BLSommaire du match
105 - 2024-01-22724Oceanics0Bruins2BWSommaire du match
107 - 2024-01-24741Caroline2Bruins1BLSommaire du match
108 - 2024-01-25749Bruins2Senators1AWSommaire du match
110 - 2024-01-27759Bruins2Phantoms3ALSommaire du match
120 - 2024-02-06783Heat3Bruins4BWXXSommaire du match
122 - 2024-02-08794Comets0Bruins1BWSommaire du match
124 - 2024-02-10808Bears0Bruins2BWSommaire du match
127 - 2024-02-13823Thunder3Bruins4BWXSommaire du match
129 - 2024-02-15837Seattle0Bruins3BWSommaire du match
131 - 2024-02-17855Monarchs0Bruins3BWSommaire du match
133 - 2024-02-19868Stars3Bruins2BLXSommaire du match
135 - 2024-02-21888Bruins3Oil Kings1AWSommaire du match
136 - 2024-02-22896Bruins0Heat2ALSommaire du match
138 - 2024-02-24907Bruins0Comets3ALSommaire du match
140 - 2024-02-26926Bruins2Seattle3ALXXSommaire du match
143 - 2024-02-29941Las Vegas1Bruins2BWSommaire du match
145 - 2024-03-02957Bruins2Sound Tigers1AWSommaire du match
147 - 2024-03-04978Bruins0Marlies2ALSommaire du match
148 - 2024-03-05981Oil Kings0Bruins4BWSommaire du match
150 - 2024-03-07993Marlies3Bruins2BLXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091012Manchots2Bruins1BLXXSommaire du match
154 - 2024-03-111027Chiefs1Bruins4BWSommaire du match
157 - 2024-03-141049Bruins1Rocket2ALXXSommaire du match
159 - 2024-03-161065Phantoms3Bruins1BLSommaire du match
162 - 2024-03-191082Senators1Bruins3BWSommaire du match
164 - 2024-03-211098Wolf Pack3Bruins1BLSommaire du match
166 - 2024-03-231114Bruins2Phantoms1AWSommaire du match
169 - 2024-03-261136Bruins5Cabaret Lady Mary Ann1AWSommaire du match
170 - 2024-03-271149Bruins0Thunder3ALSommaire du match
173 - 2024-03-301176Bruins2Bears3ALSommaire du match
176 - 2024-04-021194Bruins2Chill3ALXXSommaire du match
178 - 2024-04-041202Bruins2Caroline1AWXXSommaire du match
180 - 2024-04-061218Cabaret Lady Mary Ann0Bruins2BWSommaire du match
183 - 2024-04-091239Caroline0Bruins1BWSommaire du match
187 - 2024-04-131279Bruins0Manchots1ALSommaire du match
189 - 2024-04-151291Bruins2Bears1AWXSommaire du match
190 - 2024-04-161295Senators2Bruins1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance78,10839,170
Assistance PCT95.25%95.54%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2860 - 95.35% 97,210$3,985,596$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,064,762$ 1,706,650$ 1,706,650$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,889$ 2,064,762$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 8,889$ 0$




Bruins Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bruins Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bruins Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Bruins Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bruins Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA