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Bruins
GP: 35 | W: 10 | L: 20 | OTL: 5 | P: 25
GF: 116 | GA: 166 | PP%: 23.29% | PK%: 69.00%
DG: Jim Tegelaar | Morale : 29 | Moyenne d’équipe : 59
Prochains matchs #396 vs Americiens

Centre de jeu
Wranglers
21-13-2, 44pts
8
FINAL
2 Bruins
10-20-5, 25pts
Team Stats
W3SéquenceL3
11-7-0Fiche domicile4-11-3
10-6-2Fiche domicile6-9-2
6-4-0Derniers 10 matchs2-8-0
4.86Buts par match 3.31
4.44Buts contre par match 4.74
15.63%Pourcentage en avantage numérique23.29%
72.07%Pourcentage en désavantage numérique69.00%
Bruins
10-20-5, 25pts
3
FINAL
6 Wranglers
21-13-2, 44pts
Team Stats
L3SéquenceW3
4-11-3Fiche domicile11-7-0
6-9-2Fiche domicile10-6-2
2-8-0Derniers 10 matchs6-4-0
3.31Buts par match 4.86
4.74Buts contre par match 4.44
23.29%Pourcentage en avantage numérique15.63%
69.00%Pourcentage en désavantage numérique72.07%
Bruins
10-20-5, 25pts
Jour 79
Americiens
20-12-1, 41pts
Statistiques d’équipe
L3SéquenceL1
4-11-3Fiche domicile11-7-0
6-9-2Fiche visiteur9-5-1
2-8-010 derniers matchs4-6-0
3.31Buts par match 4.88
4.74Buts contre par match 4.88
23.29%Pourcentage en avantage numérique26.47%
69.00%Pourcentage en désavantage numérique73.86%
Admirals
6-28-1, 13pts
Jour 81
Bruins
10-20-5, 25pts
Statistiques d’équipe
L3SéquenceL3
2-14-1Fiche domicile4-11-3
4-14-0Fiche visiteur6-9-2
1-9-010 derniers matchs2-8-0
3.54Buts par match 3.31
6.03Buts contre par match 3.31
24.21%Pourcentage en avantage numérique23.29%
67.61%Pourcentage en désavantage numérique69.00%
Bruins
10-20-5, 25pts
Jour 83
Nordiks
21-12-3, 45pts
Statistiques d’équipe
L3SéquenceOTL1
4-11-3Fiche domicile9-7-1
6-9-2Fiche visiteur12-5-2
2-8-010 derniers matchs7-1-2
3.31Buts par match 5.67
4.74Buts contre par match 5.67
23.29%Pourcentage en avantage numérique27.54%
69.00%Pourcentage en désavantage numérique72.34%
Meneurs d'équipe
Nick CousinsButs
Nick Cousins
17
Uvis BalinskisPasses
Uvis Balinskis
22
Nick CousinsPoints
Nick Cousins
37
Victor ManciniPlus/Moins
Victor Mancini
2
Yaroslav AskarovVictoires
Yaroslav Askarov
10
Victor OstmanPourcentage d’arrêts
Victor Ostman
0.923

Statistiques d’équipe
Buts pour
116
3.31 GFG
Tirs pour
1042
29.77 Avg
Pourcentage en avantage numérique
23.3%
17 GF
Début de zone offensive
37.9%
Buts contre
166
4.74 GAA
Tirs contre
1338
38.23 Avg
Pourcentage en désavantage numérique
69.0%%
31 GA
Début de la zone défensive
41.1%
Informations de l'équipe

Directeur généralJim Tegelaar
EntraîneurRyan Mougenel
DivisionAtlantic
ConférenceEastern Conference
CapitaineHampus Lindholm
Assistant #1Nathan Walker
Assistant #2Nick Cousins


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 50
Espoirs31


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
1Bobby BrinkX100.00695586715976907250726358625963038640244500,000$
2Paul CotterXXX99.00856173677672896966606957826264039640263500,000$
3Nathan Walker (A)XX100.00876581656570846366615965527372040630311500,000$
4Luke EvangelistaXX100.00595683716574817450706261505660059630231500,000$
5Jordan GreenwayXX99.008468726384746161506156745066700416202822,000,000$
6Nick Cousins (A)XX100.00766365676670687050666159507471041620321500,000$
7William CarrierXX98.00885881667969646850655761507169036620313750,000$
8Jansen HarkinsXXX100.00796187657168756569595169506869039610281500,000$
9Jakub LaukoXXX100.00786981656967716450625564506162041600253500,000$
10Mikael Pyyhtia (R)XX100.00615493656370666050595670506064038590241500,000$
11Matthew PoitrasXX100.00565587636370606161675059505458059570212500,000$
12Nikita Nesterenko (R)XXX100.00725594617060546550546055515861059570241500,000$
13Uvis BalinskisX100.00716385667067877050645466557069043650291500,000$
14Lian Bichsel (R)X100.00896855618565636550576068565660047630213500,000$
15Victor Mancini (R)X100.00735983648366606850635266565962045620231500,000$
16Donovan SebrangoX100.00493595588050515050495050555962040530231500,000$
Rayé
1Jonas RondbjergXX100.00505089567359525050505058506263020530262500,000$
2Cam Lund (R)XXX100.00505781527052535750505050515659020510213500,000$
3Jimmy Snuggerud (R)XX100.00505089516658535350555050525359020510213500,000$
4Hampus Lindholm (C)X100.005359876281585865505860705674760196203133,000,000$
MOYENNE D’ÉQUIPE99.8069588263726667645360566254636503960
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
1Victor Ostman (R)100.0067606677505851515150506062047570253500,000$
2Yaroslav Askarov (R)95.006566667059555353515063576005570231500,000$
Rayé
1Trent Miner (R)100.0050615970505050505050505858032530243500,000$
MOYENNE D’ÉQUIPE98.336162647253545151515054586002856
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Mougenel8080958075751CAN495500,000$


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
1Nick CousinsBruins (BOS)C/LW35172037-10220651001153011114.78%980222.9243712521013530048.94%89900010.9200000312
2Paul CotterBruins (BOS)C/LW/RW35141832-1320053108130309510.77%783923.99551015540000800157.88%110400000.7614000210
3Uvis BalinskisBruins (BOS)D3582230-27260934255123314.55%7081123.182462358000168110%000000.7400000222
4William CarrierBruins (BOS)LW/RW35102030-11220656198249210.20%686324.670002140000291051.35%11100000.7002000141
5Jordan GreenwayBruins (BOS)LW/RW35141428-131206563124356811.29%3380422.9813414580001881152.08%4800000.7003000233
6Nathan WalkerBruins (BOS)LW/RW35121224-14120823689216713.48%768919.700446520111420056.86%5100000.7002000212
7Victor ManciniBruins (BOS)D3542024228089322551416.00%5064418.42000570000310060.00%500000.7412000421
8Mikael PyyhtiaBruins (BOS)LW/RW3581624-1880213470165511.43%2380523.0100024000011147.83%4600000.6000000021
9Jansen HarkinsBruins (BOS)C/LW/RW35101222-1640365811634728.62%1073420.9812312510000171060.40%39900000.6000000302
10Jakub LaukoBruins (BOS)C/LW/RW3551419-168026477025607.14%1570320.1000005000033151.78%25300000.5400000122
11Bobby BrinkBruins (BOS)RW3531316-96013185921395.08%637210.650661060000000031.58%1900000.8604000102
12Lian BichselBruins (BOS)D357916-7495103314983014.29%5069119.752358520000561090.91%1100000.4600100110
13Donovan SebrangoBruins (BOS)D351342208875214.29%2657016.300000000004010%100000.1400000001
14Hampus LindholmBruins (BOS)D13123-500091071910.00%1726120.09101417000023000%000000.2300000001
Statistiques d’équipe totales ou en moyenne468114195309-1552195719647101727375711.21%329959320.5016304611348911265029654.39%294700010.64217100221920
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
1Yaroslav AskarovBruins (BOS)35101740.8664.9916590013810270000.60010350022
2Victor OstmanBruins (BOS)100310.9233.1246120243100010.8336035110
Statistiques d’équipe totales ou en moyenne45102050.8794.582121201621337001163535132


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
Bobby BrinkBruins (BOS)RW242001-07-08USANo169 Lbs5 ft8NoNoFree AgentNoNo42025-07-24FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Cam LundBruins (BOS)C/LW/RW212004-06-07USAYes195 Lbs6 ft2NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Donovan SebrangoBruins (BOS)D232002-01-12CANNo221 Lbs6 ft2NoNoFree AgentNoNo12025-08-07FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Hampus LindholmBruins (BOS)D311994-01-20SWENo224 Lbs6 ft4NoNoN/ANoNo32024-08-20FalseFalsePro & Farm3,000,000$300,000$171,667$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------Lien / Lien NHL
Jakub LaukoBruins (BOS)C/LW/RW252000-03-28CZENo193 Lbs6 ft1NoNoN/ANoNo32024-08-15FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Jansen HarkinsBruins (BOS)C/LW/RW281997-05-23USANo199 Lbs6 ft1NoNoTrade2025-08-07NoNo12025-04-13FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Jimmy SnuggerudBruins (BOS)LW/RW212004-06-01USAYes186 Lbs6 ft1NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Jonas RondbjergBruins (BOS)LW/RW261999-03-31DNKNo204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jordan GreenwayBruins (BOS)LW/RW281997-02-16USANo231 Lbs6 ft6NoNoN/ANoNo22024-08-20FalseFalsePro & Farm2,000,000$200,000$114,444$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Lian BichselBruins (BOS)D212004-05-18CHEYes231 Lbs6 ft7NoNoFree AgentNoNo32025-08-03FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Luke EvangelistaBruins (BOS)LW/RW232002-02-21CANNo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Matthew PoitrasBruins (BOS)C/RW212004-03-10CANNo180 Lbs5 ft11NoNoTrade2025-07-03NoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mikael PyyhtiaBruins (BOS)LW/RW242001-12-17FINYes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Nathan WalkerBruins (BOS)LW/RW311994-02-07GBRNo187 Lbs5 ft9NoNoTrade2025-08-07NoNo12025-04-13FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Nick CousinsBruins (BOS)C/LW321993-07-20CANNo186 Lbs5 ft11NoNoTrade2025-08-07NoNo12025-04-13FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Nikita NesterenkoBruins (BOS)C/LW/RW242001-09-10USAYes195 Lbs6 ft2NoNoFree AgentNoNo12025-07-24FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Paul CotterBruins (BOS)C/LW/RW261999-11-16USANo213 Lbs6 ft2NoNoN/ANoNo32024-08-15FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Trent MinerBruins (BOS)G242001-02-05CANYes185 Lbs6 ft1NoNoFree AgentNoNo32025-08-13FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Uvis BalinskisBruins (BOS)D291996-08-01LVANo196 Lbs6 ft0NoNoFree AgentNoNo12025-08-09FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Victor ManciniBruins (BOS)D232002-05-26USAYes229 Lbs6 ft3NoNoFree AgentNoNo12025-08-07FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Victor OstmanBruins (BOS)G252000-10-03SWEYes205 Lbs6 ft4NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
William CarrierBruins (BOS)LW/RW311994-12-20CANNo220 Lbs6 ft2NoNoTrade2025-08-07NoNo32024-08-20FalseFalsePro & Farm750,000$75,000$42,917$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Yaroslav AskarovBruins (BOS)G232002-06-16RUSYes178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.39199 Lbs6 ft12.04684,783$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan GreenwayPaul CotterWilliam Carrier40122
2Nathan WalkerNick CousinsMikael Pyyhtia30122
3William CarrierJansen HarkinsJakub Lauko20122
4Mikael PyyhtiaJakub LaukoJansen Harkins10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis Balinskis40122
2Lian Bichsel30122
3Victor ManciniDonovan Sebrango20122
4Uvis Balinskis10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan GreenwayPaul CotterBobby Brink60122
2Nathan WalkerNick CousinsJansen Harkins40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis Balinskis60122
2Lian Bichsel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Paul CotterJordan Greenway60122
2Nick CousinsNathan Walker40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis Balinskis60122
2Lian Bichsel40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Paul Cotter60122Uvis Balinskis60122
2Nick Cousins40122Lian Bichsel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Paul CotterJordan Greenway60122
2Nick CousinsNathan Walker40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis Balinskis60122
2Lian Bichsel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan GreenwayPaul CotterBobby BrinkUvis Balinskis
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan GreenwayPaul CotterBobby BrinkUvis Balinskis
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Carrier, Nick Cousins, Jansen HarkinsWilliam Carrier, Nick CousinsWilliam Carrier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Lian Bichsel, Victor Mancini, Donovan SebrangoLian BichselLian Bichsel, Victor Mancini
Tirs de pénalité
Bobby Brink, Paul Cotter, Jordan Greenway, Nathan Walker, William Carrier
Gardien
#1 : Yaroslav Askarov, #2 : Victor Ostman


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
1Aces1010000023-1000000000001010000023-100.00024600423637214350323352342014214000%10100.00%0602110754.38%653120054.42%35061057.38%885627789239448230
2Admirals11000000422110000004220000000000021.00046100042363722935032335234297423300.00%10100.00%0602110754.38%653120054.42%35061057.38%885627789239448230
3Americiens522000011721-420200000410-6320000011311250.50017335000423637215235032335234214633211010220.00%15286.67%0602110754.38%653120054.42%35061057.38%885627789239448230
4Barons1010000016-5000000000001010000016-500.00012300423637231350323352343551019000%5260.00%0602110754.38%653120054.42%35061057.38%885627789239448230
5Barracuda1010000012-1000000000001010000012-100.0001230042363722835032335234358418100.00%20100.00%0602110754.38%653120054.42%35061057.38%885627789239448230
6Broncos1010000024-2000000000001010000024-200.00023500423637220350323352342198224125.00%3233.33%0602110754.38%653120054.42%35061057.38%885627789239448230
7Butter Knives3100001115141110000006512000001199050.833152237004236372133350323352341373418868337.50%9277.78%0602110754.38%653120054.42%35061057.38%885627789239448230
8Canucks20200000316-1310100000210-81010000016-500.000358004236372383503233523484151844000%9633.33%0602110754.38%653120054.42%35061057.38%885627789239448230
9Fighting Pandas20100100810-21000010045-11010000045-110.250815230042363726435032335234751016419111.11%7271.43%0602110754.38%653120054.42%35061057.38%885627789239448230
10Firebirds422000001617-121100000910-12110000077040.500162339004236372120350323352341674835797228.57%14285.71%1602110754.38%653120054.42%35061057.38%885627789239448230
11Griffins1010000057-21010000057-20000000000000.0005101510423637235350323352344382224250.00%10100.00%0602110754.38%653120054.42%35061057.38%885627789239448230
12Lynx413000001318-530300000714-71100000064220.250132437004236372108350323352341102328797228.57%14657.14%0602110754.38%653120054.42%35061057.38%885627789239448230
13Marlies210001006511000010023-11100000042230.75061117004236372473503233523464221641100.00%6183.33%0602110754.38%653120054.42%35061057.38%885627789239448230
14Nordiks2110000011110110000006511010000056-120.5001120310042363728235032335234992910435240.00%4250.00%0602110754.38%653120054.42%35061057.38%885627789239448230
15Quacken1010000014-31010000014-30000000000000.00012300423637227350323352343314016100.00%000%0602110754.38%653120054.42%35061057.38%885627789239448230
16Roadrunners1000000134-11000000134-10000000000010.500369004236372233503233523424126223133.33%3166.67%0602110754.38%653120054.42%35061057.38%885627789239448230
17Tomahawks1010000038-51010000038-50000000000000.000358004236372303503233523459178192150.00%4250.00%0602110754.38%653120054.42%35061057.38%885627789239448230
18Wranglers20200000514-91010000028-61010000036-300.000591400423637261350323352348929443800.00%2150.00%0602110754.38%653120054.42%35061057.38%885627789239448230
Total3592000213116166-5018411002015895-371759000125871-13250.3571162023181042363721042350323352341338367221741731723.29%1003169.00%1602110754.38%653120054.42%35061057.38%885627789239448230
_Since Last GM Reset3592000213116166-5018411002015895-371759000125871-13250.3571162023181042363721042350323352341338367221741731723.29%1003169.00%1602110754.38%653120054.42%35061057.38%885627789239448230
_Vs Conference2389002138495-111236002013953-1411530001245423230.5008414322700423637269635032335234841228163503521223.08%721875.00%1602110754.38%653120054.42%35061057.38%885627789239448230
_Vs Division1656002125968-9815002002337-148410001236315160.500591051640042363725043503233523460015211035735822.86%511374.51%0602110754.38%653120054.42%35061057.38%885627789239448230

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3525L31162023181042133836722174110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
359200213116166
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1841102015895
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
175900125871
Derniers 10 matchs
WLOTWOTL SOWSOL
180010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
731723.29%1003169.00%1
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
350323352344236372
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
602110754.38%653120054.42%35061057.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
885627789239448230


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
12Bruins4Americiens3WSommaire du match
416Butter Knives5Bruins6WSommaire du match
621Bruins4Marlies2WSommaire du match
833Bruins4Firebirds6LSommaire du match
1043Firebirds6Bruins3LSommaire du match
1254Bruins4Fighting Pandas5LSommaire du match
1464Americiens3Bruins2LSommaire du match
1571Bruins4Americiens5LXXSommaire du match
1884Fighting Pandas5Bruins4LXSommaire du match
21103Admirals2Bruins4WSommaire du match
24114Lynx6Bruins2LSommaire du match
26122Bruins5Americiens3WSommaire du match
29140Marlies3Bruins2LXSommaire du match
31151Bruins6Lynx4WSommaire du match
33158Bruins5Butter Knives6LXXSommaire du match
35168Bruins5Nordiks6LSommaire du match
36173Americiens7Bruins2LSommaire du match
39187Nordiks5Bruins6WSommaire du match
44207Roadrunners4Bruins3LXXSommaire du match
47224Quacken4Bruins1LSommaire du match
49235Bruins3Firebirds1WSommaire du match
50245Tomahawks8Bruins3LSommaire du match
53259Bruins2Aces3LSommaire du match
54267Lynx5Bruins3LSommaire du match
55270Bruins2Broncos4LSommaire du match
58286Bruins4Butter Knives3WXXSommaire du match
60297Griffins7Bruins5LSommaire du match
62308Bruins1Canucks6LSommaire du match
65319Canucks10Bruins2LSommaire du match
67333Lynx3Bruins2LSommaire du match
70349Bruins1Barons6LSommaire du match
72356Firebirds4Bruins6WSommaire du match
74368Bruins1Barracuda2LSommaire du match
76377Wranglers8Bruins2LSommaire du match
77386Bruins3Wranglers6LSommaire du match
79396Bruins-Americiens-
81403Admirals-Bruins-
83416Bruins-Nordiks-
85426Lions-Bruins-
86436Bruins-Lions-
89443Bruins-Wombats-
91454Roadrunners-Bruins-
93462Bruins-Marlies-
95470Barons-Bruins-
97484Bruins-Americiens-
99494Butter Knives-Bruins-
100501Bruins-Fighting Pandas-
103516Nordiks-Bruins-
105525Bruins-Firebirds-
107537Americiens-Bruins-
108547Bruins-Tomahawks-
111558Broncos-Bruins-
112566Bruins-Marlies-
113575Bruins-Butter Knives-
116589Bruins-Fighting Pandas-
118593Firebirds-Bruins-
119599Bruins-Lynx-
121615Wombats-Bruins-
123624Bruins-Ice Bats-
125635Wombats-Bruins-
127647Bruins-Lynx-
129654Bruins-Griffins-
130659Ice Bats-Bruins-
133675Bruins-Roadrunners-
134682Butter Knives-Bruins-
138702Barracuda-Bruins-
140711Bruins-Admirals-
142722Broncos-Bruins-
144729Bruins-Wombats-
146741Bruins-Roadrunners-
147748Fighting Pandas-Bruins-
149763Bruins-Broncos-
150769Tomahawks-Bruins-
155789Admirals-Bruins-
156796Bruins-Quacken-
159810Lions-Bruins-
160817Bruins-Quacken-
164834Fighting Pandas-Bruins-
168853Marlies-Bruins-
172872Aces-Bruins-
176889Marlies-Bruins-
178895Bruins-Admirals-



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
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
874,320$ 1,575,000$ 1,425,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,425,000$ 596,273$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 103 11,528$ 1,187,384$




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