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Bruins
GP: 10 | W: 5 | L: 4 | OTL: 1 | P: 11
GF: 38 | GA: 36 | PP%: 28.00% | PK%: 71.43%
DG: Jim Tegelaar | Morale : 51 | Moyenne d’équipe : 58
Prochains matchs #129 vs Lynx

Centre de jeu
Marlies
7-3-0, 14pts
2
FINAL
4 Bruins
5-4-1, 11pts
Team Stats
W1SéquenceL1
4-2-0Fiche domicile3-2-0
3-1-0Fiche domicile2-2-1
7-3-0Derniers 10 matchs5-4-1
4.40Buts par match 3.80
3.30Buts contre par match 3.60
46.15%Pourcentage en avantage numérique28.00%
84.21%Pourcentage en désavantage numérique71.43%
Bruins
5-4-1, 11pts
3
FINAL
4 Lynx
6-4-0, 12pts
Team Stats
L1SéquenceL1
3-2-0Fiche domicile3-2-0
2-2-1Fiche domicile3-2-0
5-4-1Derniers 10 matchs6-4-0
3.80Buts par match 3.80
3.60Buts contre par match 4.30
28.00%Pourcentage en avantage numérique36.36%
71.43%Pourcentage en désavantage numérique70.00%
Lynx
6-4-0, 12pts
Jour 23
Bruins
5-4-1, 11pts
Statistiques d’équipe
L1SéquenceL1
3-2-0Fiche domicile3-2-0
3-2-0Fiche visiteur2-2-1
6-4-010 derniers matchs5-4-1
3.80Buts par match 3.80
4.30Buts contre par match 3.80
36.36%Pourcentage en avantage numérique28.00%
70.00%Pourcentage en désavantage numérique71.43%
Bruins
5-4-1, 11pts
Jour 25
Fighting Pandas
7-3-1, 15pts
Statistiques d’équipe
L1SéquenceW2
3-2-0Fiche domicile4-1-0
2-2-1Fiche visiteur3-2-1
5-4-110 derniers matchs7-3-0
3.80Buts par match 5.09
3.60Buts contre par match 5.09
28.00%Pourcentage en avantage numérique14.81%
71.43%Pourcentage en désavantage numérique72.97%
Americiens
2-5-3, 7pts
Jour 29
Bruins
5-4-1, 11pts
Statistiques d’équipe
W1SéquenceL1
1-1-3Fiche domicile3-2-0
1-4-0Fiche visiteur2-2-1
2-5-310 derniers matchs5-4-1
3.40Buts par match 3.80
3.90Buts contre par match 3.80
19.23%Pourcentage en avantage numérique28.00%
90.91%Pourcentage en désavantage numérique71.43%
Meneurs d'équipe
William CarrierButs
William Carrier
6
Uvis BalinskisPasses
Uvis Balinskis
12
Uvis BalinskisPoints
Uvis Balinskis
14
Donovan SebrangoPlus/Moins
Donovan Sebrango
10
Kevin LankinenVictoires
Kevin Lankinen
5
Kevin LankinenPourcentage d’arrêts
Kevin Lankinen
0.898

Statistiques d’équipe
Buts pour
38
3.80 GFG
Tirs pour
265
26.50 Avg
Pourcentage en avantage numérique
28.0%
7 GF
Début de zone offensive
35.8%
Buts contre
36
3.60 GAA
Tirs contre
380
38.00 Avg
Pourcentage en désavantage numérique
71.4%%
8 GA
Début de la zone défensive
44.1%
Informations de l'équipe

Directeur généralJim Tegelaar
EntraîneurRyan Mougenel
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 50
Espoirs35


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
1William CarrierX100.00825786687768817250645861507370054630312750,000$
2Frank VatranoX100.007663796672706867506158655076720586203225,000,000$
3Paul CotterX100.00826290667667886665605957836663053620262500,000$
4Zachary BolducX100.007857817066735267566664595160610546102310$
5Nikita NesterenkoX100.00755688647368586750675164506364053600254500,000$
6Jansen HarkinsX100.00816390647065646067625260507268055590291500,000$
7Jared WrightX100.00685590646367566450625159505960056580231500,000$
8Lenni HameenahoX100.00625781647068606650625057535657052580213500,000$
9Avery HayesX100.00657292616362546350506754515863051570241500,000$
10Mikael PyyhtiaX100.00503589576350515050505049516162054510244500,000$
11Matthew PoitrasX100.00504640576750515050505049515863054500221500,000$
12Uvis BalinskisX100.00736072707070727050645868567371058650301500,000$
13Donovan SebrangoX100.00797067628068656850635269556364059640244500,000$
14Alec RegulaX100.00626666607665596350555167556667055600263500,000$
15Joel NystromX100.00535691616266636750625169556365053600244500,000$
16Marek AlscherX100.00503594577450555250565050556068052540222500,000$
Rayé
1Jonas RondbjergX100.00503589577450525350505050506566040520271500,000$
2Felix Unger Sorum (R)X100.00503589576750525050325050505565040490214500,000$
3Victor ManciniX100.00727694608263576350565065556263044610244500,000$
4Mike BenningX100.00505693616553566350575360566263036560244500,000$
MOYENNE D’ÉQUIPE100.0065568362716261625257545954646505258
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
1Kevin Lankinen100.00678377726672716566508575750426703132,000,000$
2Trent Miner100.0052626070525051505050506363059540252500,000$
Rayé
1Victor Ostman100.0053606077525050505050506565045550262500,000$
MOYENNE D’ÉQUIPE100.005768667357575755555062686804959
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Mougenel8080958075751CAN504500,000$


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
1Uvis BalinskisBruins (BOS)D10212148602181981510.53%1423823.81224719000021000%000001.1801000021
2Frank VatranoBruins (BOS)RW104812780121034111711.76%017117.16134720000001052.63%1900001.4002000011
3William CarrierBruins (BOS)LW9661220018163891915.79%121323.721123180001251068.42%1900011.1211000200
4Donovan SebrangoBruins (BOS)D104711101202791571026.67%1522822.89134419000016000%000000.9611000111
5Jansen HarkinsBruins (BOS)C1027914011251751611.76%421521.580114180000130062.55%26700000.8300000000
6Nikita NesterenkoBruins (BOS)C102790001435236128.70%724424.460111180001280045.97%33500000.7411000011
7Paul CotterBruins (BOS)LW10268-52018121862611.11%321221.290332180000140037.50%2400000.7502000011
8Jared WrightBruins (BOS)RW105273207162541120.00%316416.4300000000000128.57%2100000.8500000101
9Zachary BolducBruins (BOS)RW10516-240131834112514.71%318618.66101418000000040.00%500000.6412000110
10Alec RegulaBruins (BOS)D10156-3601910941011.11%1720620.6510151800002010100.00%100000.5800000100
11Matthew PoitrasBruins (BOS)C10123060101071314.29%318118.1800012000020043.94%13200000.3300000000
12Victor ManciniBruins (BOS)D602202610613150%411318.9500017000010000%000000.3500002000
13Joel NystromBruins (BOS)D10112-560128741014.29%1718718.770001300001000100.00%200000.2101000000
14Mikael PyyhtiaBruins (BOS)LW101123002561316.67%016216.2700002000010037.50%800000.2500000010
15Lenni HameenahoBruins (BOS)RW10011-400237350%1545.4200000000000050.00%600000.3700000000
16Marek AlscherBruins (BOS)D10000-420732110%415915.9100000000110050.00%20000001000000
17Mike BenningBruins (BOS)D1000100000000%21010.170000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne15636681041284101991892648218813.64%98295218.92714214018700031683151.01%84100010.70412002686
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
1Kevin LankinenBruins (BOS)105410.8983.8155100353420000.83312100101
2Trent MinerBruins (BOS)20000.9741.05570013800000010000
Statistiques d’équipe totales ou en moyenne125410.9053.556090036380000121010101


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alec RegulaBruins (BOS)D262000-08-06CANNo211 Lbs6 ft4NoNoFree AgentNoNo32026-07-03FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Avery HayesBruins (BOS)RW242002-10-10CANNo180 Lbs5 ft10NoNoFree AgentNoNo12026-07-05FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien
Donovan SebrangoBruins (BOS)D242002-01-12CANNo223 Lbs6 ft2NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Felix Unger SorumBruins (BOS)RW212005-09-14CANYes190 Lbs6 ft0NoNoProspectNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$500,000$---------------NoNoNo------Lien
Frank VatranoBruins (BOS)RW321994-03-14CANNo203 Lbs5 ft11NoNoTrade2025-07-03NoNo22024-08-25FalseFalsePro & Farm5,000,000$500,000$443,878$No5,000,000$--------5,000,000$--------No--------Lien / Lien NHL
Jansen HarkinsBruins (BOS)C291997-05-23CANNo197 Lbs6 ft1NoNoFree Agent2025-08-07NoNo12026-07-03FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien / Lien NHL
Jared WrightBruins (BOS)RW232002-11-22CANNo178 Lbs6 ft1NoNoFree AgentNoNo12026-07-05FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien
Joel NystromBruins (BOS)D242002-05-14CANNo178 Lbs5 ft11NoNoFree AgentNoNo42026-07-03FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien
Jonas RondbjergBruins (BOS)RW271999-03-31CANNo206 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien / Lien NHL
Kevin LankinenBruins (BOS)G311995-04-28CANNo190 Lbs6 ft2NoNoFree AgentNoNo32025-07-24FalseFalsePro & Farm2,000,000$200,000$177,551$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Lenni HameenahoBruins (BOS)RW212004-11-07CANNo195 Lbs6 ft1NoNoFree AgentNoNo32026-06-27FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Marek AlscherBruins (BOS)D222004-04-07CANNo206 Lbs6 ft3NoNoFree AgentNoNo22026-06-27FalseFalsePro & Farm500,000$50,000$44,388$No500,000$--------500,000$--------No--------Lien
Matthew PoitrasBruins (BOS)C222004-03-10CANNo189 Lbs6 ft0NoNoTrade2025-07-03NoNo1FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien / Lien NHL
Mikael PyyhtiaBruins (BOS)LW242001-12-17CANNo178 Lbs6 ft0NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Mike BenningBruins (BOS)D242002-01-05CANNo185 Lbs5 ft9NoNoFree AgentNoNo42026-07-05FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien
Nikita NesterenkoBruins (BOS)C252001-09-10CANNo203 Lbs6 ft2NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Paul CotterBruins (BOS)LW261999-11-16CANNo213 Lbs6 ft2NoNoN/ANoNo22024-08-15FalseFalsePro & Farm500,000$50,000$44,388$No500,000$--------500,000$--------No--------Lien / Lien NHL
Trent MinerBruins (BOS)G252001-02-05CANNo185 Lbs6 ft1NoNoFree AgentNoNo22025-08-13FalseFalsePro & Farm500,000$50,000$44,388$No500,000$--------500,000$--------No--------Lien / Lien NHL
Uvis BalinskisBruins (BOS)D301996-08-01CANNo196 Lbs6 ft0NoNoFree AgentNoNo12026-07-03FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien / Lien NHL
Victor ManciniBruins (BOS)D242002-05-26CANNo229 Lbs6 ft3NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Victor OstmanBruins (BOS)G262000-10-03CANNo205 Lbs6 ft4NoNoFree AgentNoNo22025-08-07FalseFalsePro & Farm500,000$50,000$44,388$No500,000$--------500,000$--------No--------Lien / Lien NHL
William CarrierBruins (BOS)LW311994-12-20CANNo214 Lbs6 ft2NoNoTrade2025-08-07NoNo22024-08-20FalseFalsePro & Farm750,000$75,000$66,582$No750,000$--------750,000$--------No--------Lien / Lien NHL
Zachary BolducBruins (BOS)RW232003-02-24CANNo187 Lbs6 ft0NoNoDraftNoNo12026-07-02FalseFalsePro & Farm0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.39197 Lbs6 ft12.43750,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William CarrierNikita NesterenkoFrank Vatrano40122
2Paul CotterJansen HarkinsZachary Bolduc30122
3Mikael PyyhtiaMatthew PoitrasJared Wright20122
4William CarrierNikita NesterenkoLenni Hameenaho10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisDonovan Sebrango30122
2Alec Regula30122
3Joel NystromMarek Alscher20122
4Uvis BalinskisDonovan Sebrango20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William CarrierNikita NesterenkoFrank Vatrano60122
2Paul CotterJansen HarkinsZachary Bolduc40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisDonovan Sebrango60122
2Alec Regula40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nikita NesterenkoWilliam Carrier60122
2Jansen HarkinsPaul Cotter40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisDonovan Sebrango60122
2Alec Regula40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nikita Nesterenko60122Uvis BalinskisDonovan Sebrango60122
2Jansen Harkins40122Alec Regula40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nikita NesterenkoWilliam Carrier60122
2Jansen HarkinsPaul Cotter40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisDonovan Sebrango60122
2Alec Regula40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William CarrierNikita NesterenkoFrank VatranoUvis BalinskisDonovan Sebrango
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William CarrierNikita NesterenkoFrank VatranoUvis BalinskisDonovan Sebrango
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Nesterenko, Jansen Harkins, Jared WrightNikita Nesterenko, Jansen HarkinsNikita Nesterenko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alec Regula, Joel Nystrom, Marek AlscherAlec RegulaAlec Regula, Joel Nystrom
Tirs de pénalité
William Carrier, Frank Vatrano, Paul Cotter, Zachary Bolduc, Nikita Nesterenko
Gardien
#1 : Kevin Lankinen, #2 : Trent Miner


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
1Americiens21000010752000000000002100001075241.0007121900187114488285941664162039100.00%10370.00%014629649.32%19336453.02%9116654.82%2591822206913068
2Fighting Pandas2100001012752100001012750000000000041.000121931001871147682859416912434397228.57%60100.00%014629649.32%19336453.02%9116654.82%2591822206913068
3Laval Rocket20100100912-31010000035-21000010067-110.25091726001871147382859416892114479333.33%60100.00%014629649.32%19336453.02%9116654.82%2591822206913068
4Lynx1010000034-1000000000001010000034-100.000369001871141882859416329216000%110.00%014629649.32%19336453.02%9116654.82%2591822206913068
5Marlies3120000078-1211000005411010000024-220.333714210018711450828594161042814588225.00%5420.00%014629649.32%19336453.02%9116654.82%2591822206913068
Total103400120383625220001020164512001101820-2110.55038681060018711426582859416380988419925728.00%28871.43%014629649.32%19336453.02%9116654.82%2591822206913068
_Since Last GM Reset103400120383625220001020164512001101820-2110.55038681060018711426582859416380988419925728.00%28871.43%014629649.32%19336453.02%9116654.82%2591822206913068
_Vs Conference103400120383625220001020164512001101820-2110.55038681060018711426582859416380988419925728.00%28871.43%014629649.32%19336453.02%9116654.82%2591822206913068
_Vs Division103400120383625220001020164512001101820-2110.55038681060018711426582859416380988419925728.00%28871.43%014629649.32%19336453.02%9116654.82%2591822206913068

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1011L13868106265380988419900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
103401203836
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52200102016
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51201101820
Derniers 10 matchs
WLOTWOTL SOWSOL
340120
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
25728.00%28871.43%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
82859416187114
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
14629649.32%19336453.02%9116654.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2591822206913068


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
15Fighting Pandas5Bruins6WXXSommaire du match
26Bruins3Americiens2WSommaire du match
527Bruins2Marlies4LSommaire du match
632Bruins4Americiens3WXXSommaire du match
846Marlies2Bruins1LSommaire du match
1164Fighting Pandas2Bruins6WSommaire du match
1579Laval Rocket5Bruins3LSommaire du match
1690Bruins6Laval Rocket7LXSommaire du match
19106Marlies2Bruins4WSommaire du match
20108Bruins3Lynx4LSommaire du match
23129Lynx-Bruins-
25135Bruins-Fighting Pandas-
29156Americiens-Bruins-
31169Bruins-Marlies-
33177Bruins-Wombats-
35187Bruins-Orlando Solar Bears-
36192Admirals-Bruins-
39208Bruins-Barracuda-
40215Orlando Solar Bears-Bruins-
43228Bruins-Firebirds-
45237Americiens-Bruins-
47250Bruins-Firebirds-
49258Bruins-Ice Bats-
50264Griffins-Bruins-
53276Bruins-Laval Rocket-
54287Newfoundland Regiment-Bruins-
58308Lynx-Bruins-
60319Bruins-Newfoundland Regiment-
62330Roadrunners-Bruins-
64342Bruins-Griffins-
66354Laval Rocket-Bruins-
68365Bruins-Admirals-
70377Griffins-Bruins-
72391Bruins-Admirals-
75402Bruins-Broncos-
76408Tomahawks-Bruins-
79426Bruins-Marlies-
80431Aces-Bruins-
83447Bruins-Lions-
84454Admirals-Bruins-
87469Bruins-Quacken-
89479Barracuda-Bruins-
91489Bruins-Orlando Solar Bears-
93500Orlando Solar Bears-Bruins-
95508Bruins-Lynx-
97524Barons-Bruins-
102546Fighting Pandas-Bruins-
105557Bruins-Tomahawks-
107569Wombats-Bruins-
109580Bruins-Griffins-
112596Wranglers-Bruins-
114606Bruins-Nordiks-
116616Americiens-Bruins-
118629Bruins-Wombats-
120640Quacken-Bruins-
121646Bruins-Broncos-
125666Ice Bats-Bruins-
128684Bruins-Wranglers-
129690Firebirds-Bruins-
133706Bruins-Barons-
134714Wombats-Bruins-
138729Bruins-Barons-
140739Fighting Pandas-Bruins-
142753Bruins-Roadrunners-
144763Lynx-Bruins-
145767Bruins-Fighting Pandas-
149785Canucks-Bruins-
151792Bruins-Canucks-
154808Bruins-Roadrunners-
155814Lions-Bruins-
159835Laval Rocket-Bruins-
162852Bruins-Aces-
163856Bruins-Americiens-
164863Broncos-Bruins-
168882Nordiks-Bruins-
173904Firebirds-Bruins-
176922Broncos-Bruins-
177930Bruins-Americiens-
180945Marlies-Bruins-
182954Bruins-Fighting Pandas-
183962Bruins-Lynx-
185971Bruins-Laval Rocket-
188984Marlies-Bruins-
1951008Nordiks-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
249,744$ 1,725,000$ 1,725,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,725,000$ 193,622$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 174 11,352$ 1,975,248$




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