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Bruins
GP: 8 | W: 4 | L: 3 | OTL: 1 | P: 9
GF: 31 | GA: 30 | PP%: 27.27% | PK%: 76.92%
DG: Jim Tegelaar | Morale : 51 | Moyenne d’équipe : 58
Prochains matchs #106 vs Marlies

Centre de jeu
Laval Rocket
4-4-0, 8pts
5
FINAL
3 Bruins
4-3-1, 9pts
Team Stats
OTW1SéquenceOTL1
3-1-0Fiche domicile2-2-0
1-3-0Fiche domicile2-1-1
4-4-0Derniers 10 matchs4-3-1
4.38Buts par match 3.88
5.00Buts contre par match 3.75
9.52%Pourcentage en avantage numérique27.27%
67.86%Pourcentage en désavantage numérique76.92%
Bruins
4-3-1, 9pts
6
FINAL
7 Laval Rocket
4-4-0, 8pts
Team Stats
OTL1SéquenceOTW1
2-2-0Fiche domicile3-1-0
2-1-1Fiche domicile1-3-0
4-3-1Derniers 10 matchs4-4-0
3.88Buts par match 4.38
3.75Buts contre par match 5.00
27.27%Pourcentage en avantage numérique9.52%
76.92%Pourcentage en désavantage numérique67.86%
Marlies
6-2-0, 12pts
Jour 19
Bruins
4-3-1, 9pts
Statistiques d’équipe
W2SéquenceOTL1
3-2-0Fiche domicile2-2-0
3-0-0Fiche visiteur2-1-1
6-2-010 derniers matchs4-3-1
4.38Buts par match 3.88
3.00Buts contre par match 3.88
44.44%Pourcentage en avantage numérique27.27%
86.67%Pourcentage en désavantage numérique76.92%
Bruins
4-3-1, 9pts
Jour 20
Lynx
5-3-0, 10pts
Statistiques d’équipe
OTL1SéquenceL3
2-2-0Fiche domicile2-2-0
2-1-1Fiche visiteur3-1-0
4-3-110 derniers matchs5-3-0
3.88Buts par match 3.88
3.75Buts contre par match 3.88
27.27%Pourcentage en avantage numérique41.18%
76.92%Pourcentage en désavantage numérique75.00%
Lynx
5-3-0, 10pts
Jour 23
Bruins
4-3-1, 9pts
Statistiques d’équipe
L3SéquenceOTL1
2-2-0Fiche domicile2-2-0
3-1-0Fiche visiteur2-1-1
5-3-010 derniers matchs4-3-1
3.88Buts par match 3.88
4.00Buts contre par match 3.88
41.18%Pourcentage en avantage numérique27.27%
75.00%Pourcentage en désavantage numérique76.92%
Meneurs d'équipe
William CarrierButs
William Carrier
6
Uvis BalinskisPasses
Uvis Balinskis
11
Uvis BalinskisPoints
Uvis Balinskis
13
Donovan SebrangoPlus/Moins
Donovan Sebrango
8
Kevin LankinenVictoires
Kevin Lankinen
4
Kevin LankinenPourcentage d’arrêts
Kevin Lankinen
0.901

Statistiques d’équipe
Buts pour
31
3.88 GFG
Tirs pour
229
28.63 Avg
Pourcentage en avantage numérique
27.3%
6 GF
Début de zone offensive
36.1%
Buts contre
30
3.75 GAA
Tirs contre
319
39.88 Avg
Pourcentage en désavantage numérique
76.9%%
6 GA
Début de la zone défensive
43.9%
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 CarrierX100.00825786687768817250635861507370053630312750,000$
2Frank VatranoX100.007663796672706867506058655075720566203225,000,000$
3Paul CotterX100.00826290667667886665605957836563052620262500,000$
4Zachary BolducX100.007857817066735267566664595159610546102310$
5Nikita NesterenkoX100.00755688647368586750675164506264052600254500,000$
6Jansen HarkinsX100.00816390647065646067625260507168054590291500,000$
7Jared WrightX100.00685590646367566450625158505860055580231500,000$
8Lenni HameenahoX100.00625781647068606650625058535557052580213500,000$
9Avery HayesX100.00657292616362546350506754515863051570241500,000$
10Mikael PyyhtiaX100.00503589576350515050505049516062053510244500,000$
11Matthew PoitrasX100.00504640576750515050505049515763052500221500,000$
12Uvis BalinskisX100.00736072707070727050635868567271057650301500,000$
13Donovan SebrangoX100.00797067628068656850635169556264057630244500,000$
14Alec RegulaX100.00626666607665596350555067556567052600263500,000$
15Joel NystromX100.00535691616266636750625169556265053600244500,000$
16Marek AlscherX100.00503594577450555250565050555968052540222500,000$
Rayé
1Jonas RondbjergX100.00503589577450525350505050506566042520271500,000$
2Felix Unger Sorum (R)X100.00503589576750525050325050505565042490214500,000$
3Victor ManciniX100.00727694608263576350565065556263046610244500,000$
4Mike BenningX100.00505693616553566350575360566263038560244500,000$
MOYENNE D’ÉQUIPE100.0065568362716261625257545954636505158
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 Lankinen100.00678377726672716666508575750466703132,000,000$
2Trent Miner100.0052626070525050505050506363055540252500,000$
Rayé
1Victor Ostman100.0053606077525050505050506565046550262500,000$
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)D8211137401671571013.33%1019123.96224618000020000%000001.3601000021
2William CarrierBruins (BOS)LW7651110013133571617.14%116623.851123160001251060.00%1500011.3211000200
3Frank VatranoBruins (BOS)RW83710560883091510.00%013116.50123718000001054.55%1100001.5202000011
4Donovan SebrangoBruins (BOS)D83698120237147721.43%1318322.89134418000015000%000000.9811000110
5Nikita NesterenkoBruins (BOS)C8178-1001229195115.26%719624.540111170001280047.87%28200000.8111000001
6Jansen HarkinsBruins (BOS)C824604010221551513.33%117021.270003160000120065.45%22000000.7100000000
7Zachary BolducBruins (BOS)RW8516-14011173272215.63%214618.30101416000000050.00%400000.8212000110
8Jared WrightBruins (BOS)RW8415220412213819.05%212916.1300000000000140.00%1500000.7700000101
9Paul CotterBruins (BOS)LW8145-5201510145247.14%217221.570332160000140038.89%1800000.5802000010
10Alec RegulaBruins (BOS)D8033-4601787490%1516620.79000416000020000%000000.3600000000
11Victor ManciniBruins (BOS)D602202610613150%411318.9500017000010000%000000.3500002000
12Mikael PyyhtiaBruins (BOS)LW81122002461316.67%013016.3300001000000033.33%600000.3100000010
13Matthew PoitrasBruins (BOS)C8011-2601094120%014017.5400012000020044.26%12200000.1400000000
14Lenni HameenahoBruins (BOS)RW8011-400116320%1354.440000000000000%100000.5600000000
15Joel NystromBruins (BOS)D8101-46010761816.67%1515018.750001200001000100.00%100000.1301000000
16Marek AlscherBruins (BOS)D8000-320721110%412515.660000000011000%00000001000000
17Mike BenningBruins (BOS)D1000100000000%21010.170000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne126295483280101651572286715812.72%79236018.73612183716800031622152.66%69500010.70412002574
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)84310.9013.7646300292940000.8331280101
2Trent MinerBruins (BOS)10000.9602.3126001250000008000
Statistiques d’équipe totales ou en moyenne94310.9063.6749000303190001288101


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$45,408$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$45,408$No---------------------------Lien
Donovan SebrangoBruins (BOS)D242002-01-12CANNo223 Lbs6 ft2NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$45,408$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$45,408$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$454,082$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$45,408$No---------------------------Lien / Lien NHL
Jared WrightBruins (BOS)RW232002-11-22CANNo178 Lbs6 ft1NoNoFree AgentNoNo12026-07-05FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien
Joel NystromBruins (BOS)D242002-05-14CANNo178 Lbs5 ft11NoNoFree AgentNoNo42026-07-03FalseFalsePro & Farm500,000$50,000$45,408$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$45,408$No---------------------------Lien / Lien NHL
Kevin LankinenBruins (BOS)G311995-04-28CANNo190 Lbs6 ft2NoNoFree AgentNoNo32025-07-24FalseFalsePro & Farm2,000,000$200,000$181,633$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$45,408$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$45,408$No500,000$--------500,000$--------No--------Lien
Matthew PoitrasBruins (BOS)C222004-03-10CANNo189 Lbs6 ft0NoNoTrade2025-07-03NoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Mikael PyyhtiaBruins (BOS)LW242001-12-17CANNo178 Lbs6 ft0NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$45,408$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$45,408$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$45,408$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$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Trent MinerBruins (BOS)G252001-02-05CANNo185 Lbs6 ft1NoNoFree AgentNoNo22025-08-13FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Uvis BalinskisBruins (BOS)D301996-08-01CANNo196 Lbs6 ft0NoNoFree AgentNoNo12026-07-03FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Victor ManciniBruins (BOS)D242002-05-26CANNo229 Lbs6 ft3NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$45,408$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$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
William CarrierBruins (BOS)LW311994-12-20CANNo214 Lbs6 ft2NoNoTrade2025-08-07NoNo22024-08-20FalseFalsePro & Farm750,000$75,000$68,112$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
1Americiens21000010752000000000002100001075241.000712190015594486972841664162039100.00%10370.00%012924552.65%15829853.02%7913658.09%2161531695310354
2Fighting Pandas2100001012752100001012750000000000041.00012193100155947669728416912434397228.57%60100.00%012924552.65%15829853.02%7913658.09%2161531695310354
3Laval Rocket20100100912-31010000035-21000010067-110.2509172600155947369728416892114479333.33%60100.00%012924552.65%15829853.02%7913658.09%2161531695310354
4Marlies2020000036-31010000012-11010000024-200.00036900155943269728416751812405120.00%4325.00%012924552.65%15829853.02%7913658.09%2161531695310354
Total82300120313014120001016142411001101516-190.563315485001559422969728416319798016522627.27%26676.92%012924552.65%15829853.02%7913658.09%2161531695310354
_Since Last GM Reset82300120313014120001016142411001101516-190.563315485001559422969728416319798016522627.27%26676.92%012924552.65%15829853.02%7913658.09%2161531695310354
_Vs Conference82300120313014120001016142411001101516-190.563315485001559422969728416319798016522627.27%26676.92%012924552.65%15829853.02%7913658.09%2161531695310354
_Vs Division82300120313014120001016142411001101516-190.563315485001559422969728416319798016522627.27%26676.92%012924552.65%15829853.02%7913658.09%2161531695310354

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
89OTL1315485229319798016500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
82301203130
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41200101614
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41101101516
Derniers 10 matchs
WLOTWOTL SOWSOL
230120
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
22627.27%26676.92%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
6972841615594
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
12924552.65%15829853.02%7913658.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2161531695310354


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
19106Marlies-Bruins-
20108Bruins-Lynx-
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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
204,336$ 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$ 158,418$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 178 11,352$ 2,020,656$




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