Connexion

Bruins
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Patrick Doyon | Morale : 50 | Moyenne d’équipe : 55
Prochains matchs #5 vs Bears
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Bruins
0-0-0, 0pts
2022-10-12
Bears
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Jayhawks
0-0-0, 0pts
2022-10-15
Bruins
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Cabaret Lady Mary Ann
0-0-0, 0pts
2022-10-17
Bruins
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 50
Espoirs18


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
1Mark JankowskiXX100.00614292757766746378636078256262050640272850,000$
2Nathan WalkerXX100.008444977265597058376178672548480506202721,000,000$
3Connor DewarXX100.00796380656656696256605774254747050590222825,834$
4Sam AnasXX100.00695894635866666580656262594444050590281850,000$
5Sampo Ranta (R)XX100.00734493707657596746505573254445050590213925,000$
6Jean-Luc Foudy (R)X100.00716487776464675569535360504444050570194847,500$
7Akil Thomas (R)XX100.00726489676458605468465861554444050550213795,000$
8Jack KopackaX100.00757282667253535350465662534444050540232800,000$
9Matthew WedmanX100.00767482637455565265445662534444050540224560,000$
10Ben ThomsonX100.007477676177484850504351614844440505202811,000,000$
11Jonathan AngX100.00616183586164685169494658474444050520231775,000$
12Zachary GallantX100.00717267617250515063494659444444050520222525,000$
13Nathan BeaulieuX100.007199718078565556255247812567670506502811,200,000$
14Jacob MacDonaldX100.00764491677354637025394773755555050610283900,000$
15Josh BrookX100.00747878687169665428504265384444050590222795,000$
16Paul LadueX100.00777387727361654725364163395050050580291968,000$
17Marc Del Gaizo (R)X100.00726587636556584825394259404444050540212850,833$
Rayé
1Luke Henman (R)X100.00686281666250505164475058484444050520213791,667$
2Tyler Sheehy (R)X100.00746998536952534964504362434444050510252525,000$
3Matej Pekar (R)XX100.00696968656954574759424657444444050510213764,167$
4Reece Newkirk (R)X100.00706678646637354860474458424444050500204828,333$
5Julius Nattinen (R)X100.00354545456632323545353545403230050390241866,000$
MOYENNE D’ÉQUIPE100.0071648266695558545248516443464605055
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
1Alex D'Orio (R)100.0047405080484851535151304444050510222875,000$
2Peyton Jones (R)100.0044415185454445494545454444050490252525,000$
Rayé
1Callum Booth (R)100.0044405077454445494545454444050480241600,000$
MOYENNE D’ÉQUIPE100.004540508146454750474740444405049
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
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


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$795,000$79,500$79,500$No795,000$795,000$Lien
Alex D'OrioBruins (Bos)G221999-04-28Yes209 Lbs6 ft2NoNoNo2Pro & Farm875,000$875,000$87,500$87,500$No875,000$Lien
Ben ThomsonBruins (Bos)LW281993-01-16No205 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$100,000$100,000$NoLien
Callum BoothBruins (Bos)G241997-05-20Yes184 Lbs6 ft4NoNoNo1Pro & Farm600,000$600,000$60,000$60,000$NoLien
Connor DewarBruins (Bos)C/LW221999-06-26No182 Lbs5 ft10NoNoNo2Pro & Farm825,834$825,834$82,583$82,583$No825,834$Lien
Jack KopackaBruins (Bos)LW231998-03-05No191 Lbs6 ft2NoNoNo2Pro & Farm800,000$800,000$80,000$80,000$No800,000$Lien
Jacob MacDonaldBruins (Bos)D281993-02-26No204 Lbs6 ft0NoNoNo3Pro & Farm900,000$900,000$90,000$90,000$No900,000$900,000$Lien
Jean-Luc FoudyBruins (Bos)C192002-05-13Yes176 Lbs5 ft11NoNoNo4Pro & Farm847,500$847,500$84,750$84,750$No847,500$847,500$847,500$Lien
Jonathan AngBruins (Bos)C231998-01-31No165 Lbs5 ft11NoNoNo1Pro & Farm775,000$775,000$77,500$77,500$NoLien
Josh BrookBruins (Bos)D221999-06-17No192 Lbs6 ft1NoNoNo2Pro & Farm795,000$795,000$79,500$79,500$No795,000$Lien
Julius NattinenBruins (Bos)C241997-01-14Yes192 Lbs6 ft2NoNoNo1Pro & Farm866,000$866,000$86,600$86,600$NoLien
Luke HenmanBruins (Bos)C212000-04-29Yes168 Lbs6 ft0NoNoNo3Pro & Farm791,667$791,667$79,167$79,167$No791,667$791,667$Lien
Marc Del GaizoBruins (Bos)D211999-10-11Yes181 Lbs5 ft10NoNoNo2Pro & Farm850,833$850,833$85,083$85,083$No850,833$Lien
Mark JankowskiBruins (Bos)C/LW271994-09-13No202 Lbs6 ft4NoNoNo2Pro & Farm850,000$850,000$85,000$85,000$No850,000$Lien
Matej PekarBruins (Bos)C/LW212000-02-10Yes185 Lbs6 ft1NoNoNo3Pro & Farm764,167$764,167$76,417$76,417$No764,167$764,167$Lien
Matthew WedmanBruins (Bos)C221999-05-25No197 Lbs6 ft3NoNoNo4Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$560,000$Lien
Nathan BeaulieuBruins (Bos)D281992-12-05No200 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$1,200,000$120,000$120,000$NoLien
Nathan WalkerBruins (Bos)LW/RW271994-02-07No186 Lbs5 ft9NoNoNo2Pro & Farm1,000,000$1,000,000$100,000$100,000$No1,000,000$Lien
Paul LadueBruins (Bos)D291992-09-06No197 Lbs6 ft2NoNoNo1Pro & Farm968,000$968,000$96,800$96,800$NoLien
Peyton JonesBruins (Bos)G251996-02-13Yes209 Lbs6 ft4NoNoNo2Pro & Farm525,000$525,000$52,500$52,500$No525,000$Lien
Reece NewkirkBruins (Bos)C202001-02-20Yes181 Lbs5 ft11NoNoNo4Pro & Farm828,333$828,333$82,833$82,833$No828,333$828,333$828,333$Lien
Sam AnasBruins (Bos)C/RW281993-06-01No161 Lbs5 ft9NoNoNo1Pro & Farm850,000$850,000$85,000$85,000$NoLien
Sampo RantaBruins (Bos)LW/RW212000-05-31Yes205 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$92,500$92,500$No925,000$925,000$Lien
Tyler SheehyBruins (Bos)C251995-11-20Yes190 Lbs5 ft11NoNoNo2Pro & Farm525,000$525,000$52,500$52,500$No525,000$Lien
Zachary GallantBruins (Bos)C221999-03-06No194 Lbs6 ft2NoNoNo2Pro & Farm525,000$525,000$52,500$52,500$No525,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.72189 Lbs6 ft12.16809,693$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor DewarAkil Thomas40122
2Sampo Ranta30122
3Zachary Gallant20122
4Connor Dewar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
3Paul Ladue20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor DewarAkil Thomas60122
2Sampo Ranta40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor Dewar60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Connor Dewar6012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor Dewar60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor DewarAkil Thomas
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor DewarAkil Thomas
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Zachary Gallant, Akil Thomas, Zachary GallantAkil Thomas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Paul Ladue, Paul Ladue,
Tirs de pénalité
Connor Dewar, , , , Akil Thomas
Gardien
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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 - 2022-10-125Bruins-Bears-
9 - 2022-10-1527Jayhawks-Bruins-
11 - 2022-10-1741Cabaret Lady Mary Ann-Bruins-
12 - 2022-10-1849Bruins-Senators-
14 - 2022-10-2059Admirals-Bruins-
16 - 2022-10-2274Minnesota-Bruins-
19 - 2022-10-25100Stars-Bruins-
21 - 2022-10-27111Cougars-Bruins-
22 - 2022-10-28122Bruins-Monsters-
26 - 2022-11-01147Bruins-Manchots-
28 - 2022-11-03161Bruins-Wolf Pack-
30 - 2022-11-05180Bruins-Marlies-
32 - 2022-11-07194Chiefs-Bruins-
35 - 2022-11-10211Heat-Bruins-
37 - 2022-11-12228Bruins-Crunch-
38 - 2022-11-13241Comets-Bruins-
42 - 2022-11-17265Phantoms-Bruins-
44 - 2022-11-19278Baby Hawks-Bruins-
46 - 2022-11-21291Bruins-Thunder-
48 - 2022-11-23305Bruins-Cabaret Lady Mary Ann-
50 - 2022-11-25318Caroline-Bruins-
54 - 2022-11-29355Thunder-Bruins-
58 - 2022-12-03381Monsters-Bruins-
60 - 2022-12-05399Las Vegas-Bruins-
62 - 2022-12-07415Bruins-Monsters-
64 - 2022-12-09431Bruins-Jayhawks-
66 - 2022-12-11447Bruins-Las Vegas-
68 - 2022-12-13458Sound Tigers-Bruins-
70 - 2022-12-15472Monarchs-Bruins-
72 - 2022-12-17484Monsters-Bruins-
74 - 2022-12-19504Cabaret Lady Mary Ann-Bruins-
77 - 2022-12-22529Oceanics-Bruins-
78 - 2022-12-23533Bruins-Spiders-
82 - 2022-12-27546Bruins-Senators-
83 - 2022-12-28558Bruins-Spiders-
86 - 2022-12-31578Crunch-Bruins-
88 - 2023-01-02595Manchots-Bruins-
91 - 2023-01-05621Bruins-Monarchs-
93 - 2023-01-07636Bruins-Sharks-
94 - 2023-01-08644Bruins-Admirals-
98 - 2023-01-12665Seattle-Bruins-
100 - 2023-01-14683Marlies-Bruins-
102 - 2023-01-16695Phantoms-Bruins-
104 - 2023-01-18713Bruins-Sound Tigers-
105 - 2023-01-19718Bruins-Wolf Pack-
108 - 2023-01-22748Sharks-Bruins-
110 - 2023-01-24755Bruins-Rocket-
112 - 2023-01-26771Bruins-Thunder-
114 - 2023-01-28789Bruins-Cabaret Lady Mary Ann-
115 - 2023-01-29799Bruins-Caroline-
118 - 2023-02-01806Bruins-Marlies-
128 - 2023-02-11838Bears-Bruins-
131 - 2023-02-14861Bruins-Stars-
133 - 2023-02-16873Bruins-Chill-
135 - 2023-02-18885Sound Tigers-Bruins-
137 - 2023-02-20903Senators-Bruins-
140 - 2023-02-23927Bruins-Seattle-
142 - 2023-02-25938Bruins-Comets-
144 - 2023-02-27954Bruins-Oil Kings-
145 - 2023-02-28965Bruins-Heat-
147 - 2023-03-02974Crunch-Bruins-
149 - 2023-03-04991Wolf Pack-Bruins-
154 - 2023-03-091026Oil Kings-Bruins-
156 - 2023-03-111038Cougars-Bruins-
157 - 2023-03-121053Bruins-Cougars-
159 - 2023-03-141070Bruins-Baby Hawks-
161 - 2023-03-161084Bruins-Oceanics-
163 - 2023-03-181096Bruins-Minnesota-
164 - 2023-03-191108Bruins-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211125Senators-Bruins-
168 - 2023-03-231137Rocket-Bruins-
170 - 2023-03-251151Thunder-Bruins-
171 - 2023-03-261166Bruins-Caroline-
173 - 2023-03-281178Chill-Bruins-
175 - 2023-03-301189Monsters-Bruins-
177 - 2023-04-011205Bruins-Manchots-
178 - 2023-04-021218Bruins-Chiefs-
182 - 2023-04-061246Marlies-Bruins-
184 - 2023-04-081265Spiders-Bruins-
185 - 2023-04-091273Bruins-Phantoms-
187 - 2023-04-111290Bears-Bruins-
189 - 2023-04-131298Bruins-Rocket-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,024,233$ 2,024,233$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,654$ 0$ 25 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 10,654$ 2,024,260$




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