Connexion

Bruins
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jonathan Lacombe | Morale : 50 | Moyenne d’équipe : N/A
Prochain matchs #5 vs Bears
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Bruins
0-0-0, 0pts
2022-05-07
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
nanButs par match nan
nanButs contre par match nan
nan%Pourcentage en avantage numériquenan%
nan%Pourcentage en désavantage numériquenan%
Roadrunners
0-0-0, 0pts
2022-05-10
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
nanButs par match nan
nanButs contre par match nan
nan%Pourcentage en avantage numériquenan%
nan%Pourcentage en désavantage numériquenan%
Thunderbirds
0-0-0, 0pts
2022-05-12
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
nanButs par match nan
nanButs contre par match nan
nan%Pourcentage en avantage numériquenan%
nan%Pourcentage en désavantage numériquenan%
Meneurs d'équipe

Statistiques d’équipe
Information d’équipe

Directeur généralJonathan Lacombe
EntraîneurRaymond Bourque
DivisionEast
ConférenceDivison Central-East
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 61
Espoirs18


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique36-16-3 (0.655%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)7-7
Stanley Cup0


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
1Michael Amadio0XX100.0064369164807680666366686467686805000261975,000$
2Denis Malgin0XXX100.0084406271667986704873736973676305000251750,000$
3Jakob Pelletier (R)0X100.0062378871616872676571706471605905000212863,333$
4Karson Kuhlman0XX100.0077329661737477635865646863706905000271825,000$
5Akil Thomas (R)0X100.0061388965686373626564656065595805000211795,000$
6Alexander True0XX100.0079338155837068557362506753666405000251975,000$
7T.J. Tynan0X100.00613790615966746365666272647574050003011,000,000$
8Jaret Anderson-Dolan0X100.0077329166727873667764717268636205000231750,000$
9Joe Snively0X100.00633886676669726765716870696967050002621,100,000$
10Alex Turcotte0X100.0069397767716571666569646367605705000212894,167$
11Shane Gersich0X100.0064388459716373596564586961686705000261800,000$
12Kevin Bahl0X100.0082348570948270663071607463616005000221795,000$
13Gabriel Carlsson0X100.0066339063847775653070626964676605000251750,000$
14Alex Petrovic0X100.00808177628158595725554565434444050003011,100,000$
15Mitch Vande Sompel (R)0X100.0081578968766979552546466747505005000251800,000$
16Austin Strand0X100.0070348661867969623067506956676605000251875,000$
17Ben Gleason0X100.0058389570726874726576666171656405000241800,000$
Rayé
1Juuso Parssinen (R)0X100.0011111111111111105000212850,833$
2Lance Bouma0X100.00111111111111111050003211,250,000$
3Elmer Soderblom (R)0XX100.0060399371857389716966745870605905000213878,333$
4Dylan Blujus0X100.00694076567862725865625569587269050002811,500,000$
5Tyler Tucker0X100.0055389961806066586564506557616105000221808,333$
6Evan Nause (R)0X100.0070407661756692563063566259565305000193886,667$
MOYENNE D’ÉQUIPE100.006336785969646858506056615758570500
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
1Garret Sparks100.007261658962606061605860687105000291750,000$
2Dan Vladar100.007571707878747987748879677105000251750,000$
Rayé
1Jon GilliesHO72686992707574797479747276050002811,300,000$
2Tyler Wall100.0063676886626163626163626471050002400$
MOYENNE D’ÉQUIPE100.00716768866868697267726968720500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Raymond Bourque74847475808270CAN621500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Akil ThomasBruins (BOS)C212001-01-31Yes171 Lbs6 ft0NoNoNo1Pro & Farm795,000$795,000$795,000$795,000$0$0$NoLien / Lien NHL
Alex PetrovicBruins (BOS)D301992-03-03No216 Lbs6 ft4NoNoNo1Pro & Farm1,100,000$1,100,000$700,000$700,000$0$0$NoLien / Lien NHL
Alex TurcotteBruins (BOS)C212001-02-26No185 Lbs5 ft11NoNoNo2Pro & Farm894,167$894,167$894,167$894,167$0$0$No894,167$Lien / Lien NHL
Alexander TrueBruins (BOS)C/RW251997-07-17No200 Lbs6 ft5NoNoNo1Pro & Farm975,000$975,000$0$0$NoLien / Lien NHL
Austin StrandBruins (BOS)D251997-02-17No215 Lbs6 ft3NoNoNo1Pro & Farm875,000$875,000$875,000$875,000$0$0$NoLien / Lien NHL
Ben GleasonBruins (BOS)D241998-03-25No180 Lbs6 ft1NoNoNo1Pro & Farm800,000$800,000$800,000$800,000$0$0$NoLien / Lien NHL
Dan VladarBruins (BOS)G251997-08-20No185 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien / Lien NHL
Denis MalginBruins (BOS)C/LW/RW251997-01-18No177 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien / Lien NHL
Dylan BlujusBruins (BOS)D281994-01-22No191 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$NoLien / Lien NHL
Elmer SoderblomBruins (BOS)C/RW212001-07-05Yes203 Lbs6 ft6NoNoNo3Pro & Farm878,333$878,333$878,333$878,333$0$0$No878,333$878,333$
Evan NauseBruins (BOS)D192003-01-20Yes186 Lbs6 ft2NoNoNo3Pro & Farm886,667$886,667$886,667$886,667$0$0$No886,667$886,667$
Gabriel CarlssonBruins (BOS)D251997-01-02No195 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien / Lien NHL
Garret SparksBruins (BOS)G291993-06-28No220 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien / Lien NHL
Jakob PelletierBruins (BOS)C212001-03-07Yes160 Lbs5 ft9NoNoNo2Pro & Farm863,333$863,333$863,333$863,333$0$0$No863,333$Lien NHL
Jaret Anderson-DolanBruins (BOS)C231999-09-12No200 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien / Lien NHL
Joe SnivelyBruins (BOS)LW261996-01-01No176 Lbs5 ft9NoNoNo2Pro & Farm1,100,000$1,100,000$0$0$No1,100,000$Lien / Lien NHL
Jon GilliesBruins (BOS)G281994-01-22No223 Lbs6 ft6NoNoNo1Pro & Farm1,300,000$1,300,000$700,000$700,000$0$0$NoLien / Lien NHL
Juuso ParssinenBruins (BOS)C212001-02-01 23:57:11Yes203 Lbs6 ft2NoNoNo2Pro & Farm850,833$850,833$850,833$850,833$0$0$No850,833$Lien NHL
Karson KuhlmanBruins (BOS)C/RW271995-09-26No190 Lbs5 ft10NoNoNo1Pro & Farm825,000$825,000$825,000$825,000$0$0$NoLien / Lien NHL
Kevin BahlBruins (BOS)D222000-06-27No230 Lbs6 ft6NoNoNo1Pro & Farm795,000$795,000$795,000$795,000$0$0$NoLien / Lien NHL
Lance BoumaBruins (BOS)LW321990-03-25No208 Lbs6 ft2NoNoNo1Pro & Farm1,250,000$1,250,000$500,000$500,000$0$0$NoLien / Lien NHL
Michael AmadioBruins (BOS)C/RW261996-05-13No205 Lbs6 ft2NoNoNo1Pro & Farm975,000$975,000$0$0$NoLien / Lien NHL
Mitch Vande SompelBruins (BOS)D251997-02-11 09:07:50Yes198 Lbs5 ft11NoNoNo1Pro & Farm800,000$800,000$800,000$800,000$0$0$NoLien NHL
Shane GersichBruins (BOS)LW261996-07-10No180 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$800,000$800,000$0$0$NoLien / Lien NHL
T.J. TynanBruins (BOS)C301992-02-25No160 Lbs5 ft8NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien / Lien NHL
Tyler TuckerBruins (BOS)D222000-03-01No203 Lbs6 ft1NoNoNo1Pro & Farm808,333$808,333$0$0$NoLien
Tyler WallBruins (BOS)G241998-01-14No214 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.85195 Lbs6 ft21.26882,284$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaret Anderson-DolanT.J. Tynan40122
2Alexander TrueDenis Malgin30122
3Joe SnivelyAkil Thomas20122
4Michael AmadioKarson Kuhlman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitch Vande SompelGabriel Carlsson40122
2Kevin Bahl30122
3Alex PetrovicAustin Strand20122
4Ben GleasonMitch Vande Sompel10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaret Anderson-DolanT.J. Tynan60122
2Alexander TrueDenis Malgin40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitch Vande SompelGabriel Carlsson60122
2Kevin Bahl40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexander True60122
2Jaret Anderson-DolanT.J. Tynan40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitch Vande SompelGabriel Carlsson60122
2Kevin Bahl40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Mitch Vande SompelGabriel Carlsson60122
2Alexander True40122Kevin Bahl40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexander True60122
2Jaret Anderson-DolanT.J. Tynan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitch Vande SompelGabriel Carlsson60122
2Kevin Bahl40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaret Anderson-DolanT.J. TynanMitch Vande SompelGabriel Carlsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaret Anderson-DolanT.J. TynanMitch Vande SompelGabriel Carlsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Akil Thomas, Michael Amadio, Joe SnivelyAkil Thomas, Michael AmadioJoe Snively
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Petrovic, Austin Strand, Ben GleasonAlex PetrovicAustin Strand, Ben Gleason
Tirs de pénalité
, Alexander True, Jaret Anderson-Dolan, T.J. Tynan, Denis Malgin
Gardien
#1 : Dan Vladar, #2 : Garret Sparks
Lignes d’attaque personnalisées en prolongation
, Alexander True, Jaret Anderson-Dolan, T.J. Tynan, Denis Malgin, Akil Thomas, Akil Thomas, Michael Amadio, , Joe Snively,
Lignes de défense personnalisées en prolongation
Mitch Vande Sompel, Gabriel Carlsson, Kevin Bahl, , Alex Petrovic


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 - 2022-05-075Bruins-Bears-
9 - 2022-05-1027Roadrunners-Bruins-
11 - 2022-05-1241Thunderbirds-Bruins-
12 - 2022-05-1349Bruins-Senators-
14 - 2022-05-1559Gulls-Bruins-
16 - 2022-05-1774Wild-Bruins-
19 - 2022-05-20100Stars-Bruins-
21 - 2022-05-22111Griffins-Bruins-
22 - 2022-05-23122Bruins-Monsters-
26 - 2022-05-27147Bruins-Penguins-
28 - 2022-05-29161Bruins-Wolfpack-
30 - 2022-05-31180Bruins-Marlies-
32 - 2022-06-02194Rampage-Bruins-
35 - 2022-06-05211Heat-Bruins-
37 - 2022-06-07228Bruins-Americans-
38 - 2022-06-08241Comets-Bruins-
42 - 2022-06-12265Phantoms-Bruins-
44 - 2022-06-14278IceHogs-Bruins-
46 - 2022-06-16291Bruins-Crunch-
48 - 2022-06-18305Bruins-Thunderbirds-
50 - 2022-06-20318Checkers-Bruins-
54 - 2022-06-24355Crunch-Bruins-
58 - 2022-06-28381Eagles-Bruins-
60 - 2022-06-30399Wolves-Bruins-
62 - 2022-07-02415Bruins-Eagles-
64 - 2022-07-04431Bruins-Roadrunners-
66 - 2022-07-06447Bruins-Wolves-
68 - 2022-07-08458Sound Tigers-Bruins-
70 - 2022-07-10472Reign-Bruins-
72 - 2022-07-12484Monsters-Bruins-
74 - 2022-07-14504Thunderbirds-Bruins-
77 - 2022-07-17529Moose-Bruins-
78 - 2022-07-18533Bruins-Devils-
82 - 2022-07-22546Bruins-Senators-
83 - 2022-07-23558Bruins-Devils-
86 - 2022-07-26578Americans-Bruins-
88 - 2022-07-28595Penguins-Bruins-
91 - 2022-07-31621Bruins-Reign-
93 - 2022-08-02636Bruins-Barracudas-
94 - 2022-08-03644Bruins-Gulls-
98 - 2022-08-07665Nordiques-Bruins-
100 - 2022-08-09683Marlies-Bruins-
102 - 2022-08-11695Phantoms-Bruins-
104 - 2022-08-13713Bruins-Sound Tigers-
105 - 2022-08-14718Bruins-Wolfpack-
108 - 2022-08-17748Barracudas-Bruins-
110 - 2022-08-19755Bruins-Rocket-
112 - 2022-08-21771Bruins-Crunch-
114 - 2022-08-23789Bruins-Thunderbirds-
115 - 2022-08-24799Bruins-Checkers-
118 - 2022-08-27806Bruins-Marlies-
128 - 2022-09-06838Bears-Bruins-
131 - 2022-09-09861Bruins-Stars-
133 - 2022-09-11873Bruins-Admirals-
135 - 2022-09-13885Sound Tigers-Bruins-
137 - 2022-09-15903Senators-Bruins-
140 - 2022-09-18927Bruins-Nordiques-
142 - 2022-09-20938Bruins-Comets-
144 - 2022-09-22954Bruins-Condors-
145 - 2022-09-23965Bruins-Heat-
147 - 2022-09-25974Americans-Bruins-
149 - 2022-09-27991Wolfpack-Bruins-
154 - 2022-10-021026Condors-Bruins-
156 - 2022-10-041038Griffins-Bruins-
157 - 2022-10-051053Bruins-Griffins-
159 - 2022-10-071070Bruins-IceHogs-
161 - 2022-10-091084Bruins-Moose-
163 - 2022-10-111096Bruins-Wild-
164 - 2022-10-121108Bruins-Americans-
166 - 2022-10-141125Senators-Bruins-
168 - 2022-10-161137Rocket-Bruins-
170 - 2022-10-181151Crunch-Bruins-
171 - 2022-10-191166Bruins-Checkers-
173 - 2022-10-211178Admirals-Bruins-
175 - 2022-10-231189Monsters-Bruins-
177 - 2022-10-251205Bruins-Penguins-
178 - 2022-10-261218Bruins-Rampage-
182 - 2022-10-301246Marlies-Bruins-
184 - 2022-11-011265Devils-Bruins-
185 - 2022-11-021273Bruins-Phantoms-
187 - 2022-11-041290Bears-Bruins-
189 - 2022-11-061298Bruins-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$ 17,866,250$ 13,660,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 189 97,176$ 18,366,264$




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
1Michael Amadio561720371816101038520.00%589215.9346103100013358.54%00.8311
2Jonathon Merrill56630369527767669.09%60131423.4841115530001100.00%00.5500
3Gemel Smith381619352212375810914.68%575219.8038112012343162.27%10.9316
4Jaret Anderson-Dolan5613223505364587018.57%291016.25815232900041152.08%00.7703
5Riley Stillman561319329111110758116.05%55129923.2110515630110410.00%00.4900

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
1Dan Vladar43291130.9061.752612210768070300.90010
2Garret Sparks116500.8802.0965902231920000.0000
3Jon Gillies21010.8482.50120005330000.0000

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
Saison régulière
1563116023311481054328168012107453212815801121745222761482594070125751356105033732337527103230480010843324312.95%3473589.91%3858146858.45%878153257.31%45080156.18%14119711283425700352
Total Saison régulière563116023311481054328168012107453212815801121745222761482594070125751356105033732337527103230480010843324312.95%3473589.91%3858146858.45%878153257.31%45080156.18%14119711283425700352
Séries éliminatoires
1147700000373348530000024195624000001314-11437671041014139129893921011227469234270101109.90%861187.21%024543156.84%20639751.89%10119751.27%35524333611117890
Total Séries éliminatoires147700000373348530000024195624000001314-11437671041014139129893921011227469234270101109.90%861187.21%024543156.84%20639751.89%10119751.27%35524333611117890

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
1Aleksi Saarela1474114817272924.14%121315.262241300001058.80%01.0300
2Michael Amadio14369302131717.65%021615.44022000001046.97%00.8300
3Zach Aston-Reese14369-1163729358.57%430021.461451000022032.20%00.6000
4Riley Stillman14538-41622142817.86%1434924.93505230000100.00%00.4600
5Akil Thomas14268114137219.52%122416.02022800001146.67%00.7100

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
1Dan Vladar147610.8832.2187020322730110.0000