Version obsolète du STHS! Veuillez mettre à jour votre version!
Connexion

Bruins
GP: 82 | W: 38 | L: 35 | OTL: 9 | P: 85
GF: 273 | GA: 284 | PP%: 22.53% | PK%: 78.21%
DG: Patrick Doyon | Morale : 50 | Moyenne d’équipe : 53
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Bears
50-25-7, 107pts
3
FINAL
4 Bruins
38-35-9, 85pts
Team Stats
L2StreakL1
30-11-0Home Record19-18-4
20-14-7Away Record19-17-5
6-4-0Last 10 Games6-3-1
3.61Buts par match 3.33
2.94Buts contre par match 3.46
20.00%Pourcentage en avantage numérique22.53%
84.51%Pourcentage en désavantage numérique78.21%
Bruins
38-35-9, 85pts
1
FINAL
4 Rocket
26-41-15, 67pts
Team Stats
L1StreakW1
19-18-4Home Record13-22-6
19-17-5Away Record13-19-9
6-3-1Last 10 Games4-5-1
3.33Buts par match 3.17
3.46Buts contre par match 3.94
22.53%Pourcentage en avantage numérique20.25%
78.21%Pourcentage en désavantage numérique75.88%
Meneurs d'équipe
Buts
Akil Thomas
26
Passes
Sam Anas
44
Points
Sam Anas
69
Plus/Moins
Akil Thomas
18
Victoires
Cayden Primeau
33
Pourcentage d’arrêts
Cayden Primeau
0.918

Statistiques d’équipe
Buts pour
273
3.33 GFG
Tirs pour
3013
36.74 Avg
Pourcentage en avantage numérique
22.5%
57 GF
Début de zone offensive
40.4%
Buts contre
284
3.46 GAA
Tirs contre
3013
36.74 Avg
Pourcentage en désavantage numérique
78.2%%
61 GA
Début de la zone défensive
40.2%
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 Mineure20
Limite contact 44 / 50
Espoirs21


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 SherwoodXX100.007643997267527363255959662555560506002631,000,000$
2Sam AnasXX100.00695894635866666580656262594444050590281850,000$
3Jean-Luc Foudy (R)X100.00716487776464675569535360504444050570194847,500$
4Akil Thomas (R)XX100.00726489676458605468465861554444050550213795,000$
5Jack KopackaX100.00757282667253535350465662534444050540232800,000$
6Matthew WedmanX100.00767482637455565265445662534444050540224560,000$
7Ben ThomsonX100.007477676177484850504351614844440505202811,000,000$
8Jonathan AngX100.00616183586164685169494658474444050520231775,000$
9Zachary GallantX100.00717267617250515063494659444444050520222525,000$
10Luke Henman (R)X100.00686281666250505164475058484444050520213791,667$
11Tyler Sheehy (R)X100.00746998536952534964504362434444050510252525,000$
12Matej Pekar (R)XX100.00696968656954574759424657444444050510213764,167$
13Josh BrookX100.00747878687169665428504265384444050590222795,000$
14Paul LadueX100.00777387727361654725364163395050050580291968,000$
15Donovan Sebrango (R)X100.00767189637160654425343960374444050550193850,833$
16Jeremy Groleau (R)X100.00787388617349504625374062384444050540213750,000$
17Marc Del Gaizo (R)X100.00726587636556584825394259404444050540212850,833$
18Declan Carlile (R)X100.00787293707236344825394262404444050540213750,000$
Rayé
1Reece Newkirk (R)X100.00706678646637354860474458424444050500204828,333$
2Julius Nattinen (R)X100.00354545456632323545353545403230050390241866,000$
MOYENNE D’ÉQUIPE100.0071668264685355514946486044444405054
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 Primeau100.0059525180655283606559754545050610221880,833$
2Alex D'Orio (R)100.0047405080484851535151304444050510222875,000$
Rayé
1Peyton Jones (R)100.0044415185454445494545454444050490252525,000$
2Callum Booth (R)100.0044405077454445494545454444050480241600,000$
MOYENNE D’ÉQUIPE100.004943518151475653525049444405052
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
1Sampo RantaBostonLW/RW712753806100941913341082938.08%32159322.45614204916600061955044.02%25900001.00390005111
2Sam AnasBruins (Bos)C/RW77254469-423571253318942347.86%11167321.74591453173011131855058.75%191500000.82512001335
3Connor DewarBostonC/LW481839572280104166197441339.14%2199320.7161016271120005912149.70%115900001.1516000422
4Akil ThomasBruins (Bos)C/RW82262854183201351082065316712.62%8161419.6975123719701151021359.03%22700020.6713000415
5Jean-Luc FoudyBruins (Bos)C73223153-148075227257661678.56%19140119.204592611210111244253.23%156500000.7602000352
6Jack KopackaBruins (Bos)LW8219315094010137110249831747.63%19148718.1418936195000090140.74%10800000.6701002053
7Matthew WedmanBruins (Bos)C821929486575120158220631858.64%13143317.48336231030002431252.43%105100000.6701010424
8Josh BrookBruins (Bos)D82113647-1109351586414034927.86%120190123.1861319632070001217040.00%000000.4900043000
9Jacob MacDonaldBostonD5717264322207588148459411.49%102128022.466612581310001136000.00%000100.6701000153
10Paul LadueBruins (Bos)D73152641-11671513354101285114.85%90148520.355813441590000174210.00%000000.5500012110
11Jeremy GroleauBruins (Bos)D82122234-875151643684234814.29%110159219.423710301331011156300.00%000000.4300011121
12Zachary GallantBruins (Bos)C82112233-15260118100182431096.04%24133116.24011323000051054.47%23500000.5000000102
13Kiefer SherwoodBruins (Bos)LW/RW6191928-1110059109163511175.52%8101016.57246186800031411132.50%32000000.5505000011
14Ben ThomsonBruins (Bos)LW76111425-1152209259129331108.53%7100113.170114180002581040.98%6100000.5000120010
15Donovan SebrangoBruins (Bos)D7802424-6380129334416450.00%109131616.88011462000082000.00%000000.3600000012
16Luke HenmanBruins (Bos)C8071623-13100435110324696.80%107028.78156660000001049.13%17300000.6600000012
17Marc Del GaizoBruins (Bos)D8271522-1540113518619428.14%99153718.75224171100001123100.00%000000.2900000101
18Declan CarlileBruins (Bos)D8261521-4640113496415449.38%90136216.62000944000075300.00%100000.3100000010
19Jonathan AngBruins (Bos)C823912212030343613418.33%105646.890004290000221055.56%6300000.4301000000
20Matej PekarBruins (Bos)C/LW40516020151926112719.23%11924.8100001000030078.57%1400000.6200000010
21Tyler SheehyBruins (Bos)C640331001510230.00%1961.51000460112420055.10%4900000.6200000000
22Reece NewkirkBruins (Bos)C140220201254140.00%1846.020000200000000.00%100000.4700000000
Statistiques d’équipe totales ou en moyenne1550270505775-5374110519911970310186922498.71%9052565616.55571021595152120235431994321552.66%720100120.601041199283344
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)59332060.9183.0034834117421160210.80826590733
2Alex D'OrioBruins (Bos)2231130.8834.25115721826980010.643141960210
3Peyton JonesBruins (Bos)72400.8983.4133440191860000.00%0417000
4Callum BoothBruins (Bos)10000.9094.2914001110000.00%005000
Statistiques d’équipe totales ou en moyenne89383590.9083.3249901022763011022408282943


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Akil ThomasBruins (Bos)C/RW212000-01-02Yes171 Lbs6 ft0NoNoNo3Pro & Farm795,000$0$0$No795,000$795,000$Lien
Alex D'OrioBruins (Bos)G221999-04-28Yes209 Lbs6 ft2NoNoNo2Pro & Farm875,000$0$0$No875,000$Lien
Ben Thomson (contrat à 1 volet)Bruins (Bos)LW281993-01-16No205 Lbs6 ft3NoNoYes1Pro & Farm1,000,000$100,000$0$NoLien
Callum BoothBruins (Bos)G241997-05-20Yes184 Lbs6 ft4NoNoYes1Pro & Farm600,000$0$0$NoLien
Cayden PrimeauBruins (Bos)G221999-08-11No209 Lbs6 ft2NoNoNo1Pro & Farm880,833$0$0$NoLien
Declan CarlileBruins (Bos)D212000-05-18Yes192 Lbs6 ft2YesNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Donovan SebrangoBruins (Bos)D192002-01-12Yes194 Lbs6 ft1NoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$Lien
Jack KopackaBruins (Bos)LW231998-03-05No191 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Jean-Luc FoudyBruins (Bos)C192002-05-13Yes176 Lbs5 ft11NoNoNo4Pro & Farm847,500$0$0$No847,500$847,500$847,500$Lien
Jeremy GroleauBruins (Bos)D211999-10-25Yes193 Lbs6 ft3YesNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Jonathan AngBruins (Bos)C231998-01-31No165 Lbs5 ft11NoNoNo1Pro & Farm775,000$0$0$NoLien
Josh BrookBruins (Bos)D221999-06-17No192 Lbs6 ft1NoNoNo2Pro & Farm795,000$0$0$No795,000$Lien
Julius NattinenBruins (Bos)C241997-01-14Yes192 Lbs6 ft2NoNoYes1Pro & Farm866,000$0$0$NoLien
Kiefer Sherwood (contrat à 1 volet)Bruins (Bos)LW/RW261995-03-31No180 Lbs6 ft0NoNoYes3Pro & Farm1,000,000$100,000$0$No1,000,000$1,000,000$Lien
Luke HenmanBruins (Bos)C212000-04-29Yes168 Lbs6 ft0NoNoNo3Pro & Farm791,667$0$0$No791,667$791,667$Lien
Marc Del GaizoBruins (Bos)D211999-10-11Yes181 Lbs5 ft10NoNoNo2Pro & Farm850,833$0$0$No850,833$Lien
Matej PekarBruins (Bos)C/LW212000-02-10Yes185 Lbs6 ft1NoNoNo3Pro & Farm764,167$0$0$No764,167$764,167$Lien
Matthew WedmanBruins (Bos)C221999-05-25No197 Lbs6 ft3NoNoNo4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Lien
Paul Ladue (contrat à 1 volet)Bruins (Bos)D291992-09-06No197 Lbs6 ft2NoNoYes1Pro & Farm968,000$68,000$0$NoLien
Peyton JonesBruins (Bos)G251996-02-13Yes209 Lbs6 ft4NoNoYes2Pro & Farm525,000$0$0$No525,000$Lien
Reece NewkirkBruins (Bos)C202001-02-20Yes181 Lbs5 ft11NoNoNo4Pro & Farm828,333$0$0$No828,333$828,333$828,333$Lien
Sam Anas (contrat à 1 volet)Bruins (Bos)C/RW281993-06-01No161 Lbs5 ft9NoNoYes1Pro & Farm850,000$0$0$NoLien
Tyler SheehyBruins (Bos)C251995-11-20Yes190 Lbs5 ft11NoNoYes2Pro & Farm525,000$0$0$No525,000$Lien
Zachary GallantBruins (Bos)C221999-03-06No194 Lbs6 ft2NoNoNo2Pro & Farm525,000$0$0$No525,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2422.88188 Lbs6 ft12.25782,215$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodSam AnasJonathan Ang40122
2Jack KopackaJean-Luc FoudyAkil Thomas30122
3Luke HenmanMatthew WedmanZachary Gallant20122
4Matej PekarZachary GallantKiefer Sherwood10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh BrookPaul Ladue40122
2Donovan SebrangoMarc Del Gaizo30122
3Declan CarlileJeremy Groleau20122
4Josh BrookPaul Ladue10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodSam AnasMatthew Wedman60122
2Jack KopackaJean-Luc FoudyAkil Thomas40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh BrookPaul Ladue60122
2Donovan SebrangoMarc Del Gaizo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kiefer SherwoodAkil Thomas60122
2Sam AnasJean-Luc Foudy40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh BrookPaul Ladue60122
2Donovan SebrangoMarc Del Gaizo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kiefer Sherwood60122Josh BrookPaul Ladue60122
2Sam Anas40122Donovan SebrangoMarc Del Gaizo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kiefer SherwoodLuke Henman60122
2Sam AnasJean-Luc Foudy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh BrookPaul Ladue60122
2Donovan SebrangoMarc Del Gaizo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kiefer SherwoodSam AnasJean-Luc FoudyJosh BrookPaul Ladue
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kiefer SherwoodSam AnasJean-Luc FoudyJosh BrookPaul Ladue
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Henman, Jonathan Ang, Matthew WedmanLuke Henman, Jonathan AngMatthew Wedman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Declan Carlile, Jeremy Groleau, Donovan SebrangoDeclan CarlileJeremy Groleau, Donovan Sebrango
Tirs de pénalité
Kiefer Sherwood, Jonathan Ang, Sam Anas, Jean-Luc Foudy, Akil Thomas
Gardien
#1 : Cayden Primeau, #2 : Alex D'Orio


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
1Admirals22000000862110000004311100000043141.0008152300111866614831003949101488471414457228.57%6183.33%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
2Baby Hawks201000106601010000034-11000001032120.500691500111866614571003949101488106153337500.00%14378.57%11566288854.22%1490287151.90%716138351.77%1957133119436251095537
3Bears31200000813-52110000059-41010000034-120.3338142200111866614104100394910148810727306810220.00%14657.14%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
4Cabaret Lady Mary Ann440000002291322000000114722000000115681.000224365001118666142771003949101488114301810010440.00%90100.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
5Caroline31200000101001010000034-12110000076120.33310192900111866614931003949101488912925538225.00%6266.67%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
6Chiefs20000101810-21000000134-11000010056-120.50081422001118666148510039491014888635123211436.36%6266.67%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
7Chill21001000954100010005411100000041341.0009172600111866614831003949101488672229565120.00%50100.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
8Comets20100001711-41000000156-11010000025-310.2507132000111866614751003949101488943721526466.67%8362.50%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
9Cougars312000001213-120200000811-31100000042220.333121931001118666149910039491014881292532758450.00%11372.73%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
10Crunch4310000016124220000009542110000077060.75016304600111866614159100394910148811932209517529.41%9188.89%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
11Heat20100010710-31010000026-41000001054120.5007111800111866614851003949101488802525423133.33%10370.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
12Jayhawks211000007701010000023-11100000054120.5007111800111866614621003949101488712516442150.00%8187.50%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
13Las Vegas2000000257-21000000123-11000000134-120.500591400111866614781003949101488721727628225.00%11281.82%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
14Manchots321000001394110000005142110000088040.6671325380011186661410310039491014888924195913323.08%7357.14%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
15Marlies422000001284211000005232110000076140.5001223351111186661413410039491014881244322691400.00%10190.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
16Minnesota2110000047-31010000026-41100000021120.50047110011186661478100394910148881152645400.00%12283.33%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
17Monarchs21001000972110000004311000100054141.0009152400111866614771003949101488792414557228.57%7185.71%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
18Monsters30100110912-3200001108801010000014-330.50091221001118666147610039491014881123118729222.22%8275.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
19Monsters2010100079-2100010006511010000014-320.50071320001118666147910039491014885615214012216.67%3233.33%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
20Oceanics2110000034-1110000002111010000013-220.5003580011186661462100394910148883171049800.00%4175.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
21Oil Kings211000005411010000023-11100000031220.500591400111866614811003949101488651819486116.67%60100.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
22Phantoms321000001266211000007341100000053240.667122234011118666149110039491014881074545607114.29%14192.86%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
23Rocket3110001078-1110000003212010001046-240.6677101700111866614106100394910148896232975500.00%12375.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
24Seattle20200000310-71010000024-21010000016-500.00036900111866614541003949101488102271838600.00%8187.50%11566288854.22%1490287151.90%716138351.77%1957133119436251095537
25Senators401000211415-1200000208622010000169-350.62514213500111866614141100394910148815942378816425.00%16475.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
26Sharks21100000871110000005231010000035-220.50081523001118666146910039491014881093018653133.33%8275.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
27Sound Tigers30200100611-52020000037-41000010034-110.167611170011186661410910039491014881051918594250.00%4175.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
28Spiders302000011013-31010000023-120100001810-210.1671017270011186661410910039491014881453925721119.09%10370.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
29Stars2010100078-11010000035-21000100043120.5007121910111866614621003949101488751423484250.00%6350.00%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
30Thunder422000001416-22110000066021100000810-240.5001425390011186661414410039491014881433839911417.14%17288.24%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
31Wolf Pack30300000511-61010000023-12020000038-500.00058130011186661498100394910148810037227610330.00%11281.82%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
Total82283504366273284-1141141802133137136141141702233136148-12850.5182734807532211186661430131003949101488301383472518702535722.53%2806178.21%21566288854.22%1490287151.90%716138351.77%1957133119436251095537
_Since Last GM Reset82283504366273284-1141141802133137136141141702233136148-12850.5182734807532211186661430131003949101488301383472518702535722.53%2806178.21%21566288854.22%1490287151.90%716138351.77%1957133119436251095537
_Vs Conference43151902232140143-322980113071611021611011026982-13440.512140245385121118666141483100394910148815764523609841382518.12%1413078.72%01566288854.22%1490287151.90%716138351.77%1957133119436251095537
_Vs Division26640200097811613410100050361413230100047452160.308971712681111186661410601003949101488884233197593841821.43%841483.33%01566288854.22%1490287151.90%716138351.77%1957133119436251095537

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8285L127348075330133013834725187022
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8228354366273284
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114182133137136
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114172233136148
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2535722.53%2806178.21%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
1003949101488111866614
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
1566288854.22%1490287151.90%716138351.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1957133119436251095537


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
6 - 2022-10-125Bruins3Bears4ALSommaire du match
9 - 2022-10-1527Jayhawks3Bruins2BLSommaire du match
11 - 2022-10-1741Cabaret Lady Mary Ann1Bruins5BWSommaire du match
12 - 2022-10-1849Bruins4Senators6ALSommaire du match
14 - 2022-10-2059Admirals3Bruins4BWSommaire du match
16 - 2022-10-2274Minnesota6Bruins2BLSommaire du match
19 - 2022-10-25100Stars5Bruins3BLSommaire du match
21 - 2022-10-27111Cougars7Bruins5BLSommaire du match
22 - 2022-10-28122Bruins1Monsters4ALSommaire du match
26 - 2022-11-01147Bruins2Manchots4ALSommaire du match
28 - 2022-11-03161Bruins1Wolf Pack4ALSommaire du match
30 - 2022-11-05180Bruins3Marlies5ALSommaire du match
32 - 2022-11-07194Chiefs4Bruins3BLXXSommaire du match
35 - 2022-11-10211Heat6Bruins2BLSommaire du match
37 - 2022-11-12228Bruins3Crunch5ALSommaire du match
38 - 2022-11-13241Comets6Bruins5BLXXSommaire du match
42 - 2022-11-17265Phantoms0Bruins5BWSommaire du match
44 - 2022-11-19278Baby Hawks4Bruins3BLSommaire du match
46 - 2022-11-21291Bruins4Thunder7ALSommaire du match
48 - 2022-11-23305Bruins6Cabaret Lady Mary Ann2AWSommaire du match
50 - 2022-11-25318Caroline4Bruins3BLSommaire du match
54 - 2022-11-29355Thunder4Bruins2BLSommaire du match
58 - 2022-12-03381Monsters5Bruins6BWXSommaire du match
60 - 2022-12-05399Las Vegas3Bruins2BLXXSommaire du match
62 - 2022-12-07415Bruins1Monsters4ALSommaire du match
64 - 2022-12-09431Bruins5Jayhawks4AWSommaire du match
66 - 2022-12-11447Bruins3Las Vegas4ALXXSommaire du match
68 - 2022-12-13458Sound Tigers5Bruins2BLSommaire du match
70 - 2022-12-15472Monarchs3Bruins4BWSommaire du match
72 - 2022-12-17484Monsters4Bruins3BLXSommaire du match
74 - 2022-12-19504Cabaret Lady Mary Ann3Bruins6BWSommaire du match
77 - 2022-12-22529Oceanics1Bruins2BWSommaire du match
78 - 2022-12-23533Bruins4Spiders5ALXXSommaire du match
82 - 2022-12-27546Bruins2Senators3ALXXSommaire du match
83 - 2022-12-28558Bruins4Spiders5ALSommaire du match
86 - 2022-12-31578Crunch4Bruins5BWSommaire du match
88 - 2023-01-02595Manchots1Bruins5BWSommaire du match
91 - 2023-01-05621Bruins5Monarchs4AWXSommaire du match
93 - 2023-01-07636Bruins3Sharks5ALSommaire du match
94 - 2023-01-08644Bruins4Admirals3AWSommaire du match
98 - 2023-01-12665Seattle4Bruins2BLSommaire du match
100 - 2023-01-14683Marlies2Bruins0BLSommaire du match
102 - 2023-01-16695Phantoms3Bruins2BLSommaire du match
104 - 2023-01-18713Bruins3Sound Tigers4ALXSommaire du match
105 - 2023-01-19718Bruins2Wolf Pack4ALSommaire du match
108 - 2023-01-22748Sharks2Bruins5BWSommaire du match
110 - 2023-01-24755Bruins3Rocket2AWXXSommaire du match
112 - 2023-01-26771Bruins4Thunder3AWSommaire du match
114 - 2023-01-28789Bruins5Cabaret Lady Mary Ann3AWSommaire du match
115 - 2023-01-29799Bruins5Caroline3AWSommaire du match
118 - 2023-02-01806Bruins4Marlies1AWSommaire du match
128 - 2023-02-11838Bears6Bruins1BLSommaire du match
131 - 2023-02-14861Bruins4Stars3AWXSommaire du match
133 - 2023-02-16873Bruins4Chill1AWSommaire du match
135 - 2023-02-18885Sound Tigers2Bruins1BLSommaire du match
137 - 2023-02-20903Senators4Bruins5BWXXSommaire du match
140 - 2023-02-23927Bruins1Seattle6ALSommaire du match
142 - 2023-02-25938Bruins2Comets5ALSommaire du match
144 - 2023-02-27954Bruins3Oil Kings1AWSommaire du match
145 - 2023-02-28965Bruins5Heat4AWXXSommaire du match
147 - 2023-03-02974Crunch1Bruins4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-04991Wolf Pack3Bruins2BLSommaire du match
154 - 2023-03-091026Oil Kings3Bruins2BLSommaire du match
156 - 2023-03-111038Cougars4Bruins3BLSommaire du match
157 - 2023-03-121053Bruins4Cougars2AWSommaire du match
159 - 2023-03-141070Bruins3Baby Hawks2AWXXSommaire du match
161 - 2023-03-161084Bruins1Oceanics3ALSommaire du match
163 - 2023-03-181096Bruins2Minnesota1AWSommaire du match
164 - 2023-03-191108Bruins4Crunch2AWSommaire du match
166 - 2023-03-211125Senators2Bruins3BWXXSommaire du match
168 - 2023-03-231137Rocket2Bruins3BWSommaire du match
170 - 2023-03-251151Thunder2Bruins4BWSommaire du match
171 - 2023-03-261166Bruins2Caroline3ALSommaire du match
173 - 2023-03-281178Chill4Bruins5BWXSommaire du match
175 - 2023-03-301189Monsters4Bruins5BWXXSommaire du match
177 - 2023-04-011205Bruins6Manchots4AWSommaire du match
178 - 2023-04-021218Bruins5Chiefs6ALXSommaire du match
182 - 2023-04-061246Marlies0Bruins5BWSommaire du match
184 - 2023-04-081265Spiders3Bruins2BLSommaire du match
185 - 2023-04-091273Bruins5Phantoms3AWSommaire du match
187 - 2023-04-111290Bears3Bruins4BWSommaire du match
189 - 2023-04-131298Bruins1Rocket4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance78,34538,916
Assistance PCT95.54%94.92%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2860 - 95.33% 81,117$3,325,815$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,530,602$ 1,495,516$ 1,495,516$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,871$ 1,530,602$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 7,871$ 0$




Bruins Leaders statistiques (saison régulière)

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

Bruins Leaders des statistiques des gardiens (saison régulière)

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

Bruins Statistiques de l'Équipe de Carrière

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

Bruins Leaders statistiques (séries éliminatoires)

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

Bruins Leaders des statistiques des gardiens (séries éliminatoires)

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