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Connexion

Bruins
GP: 69 | W: 49 | L: 16 | OTL: 4 | P: 102
GF: 344 | GA: 135 | PP%: 17.71% | PK%: 83.46%
DG: Chris | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #1122 vs Thunderbirds
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Centre de jeu
Comets
52-16-1, 105pts
3
FINAL
1 Bruins
49-16-4, 102pts
Team Stats
W2StreakW1
27-6-1Home Record25-8-1
25-10-0Away Record24-8-3
8-2-0Last 10 Games7-3-0
4.70Buts par match 4.99
2.17Buts contre par match 1.96
17.22%Pourcentage en avantage numérique17.71%
87.20%Pourcentage en désavantage numérique83.46%
Bruins
49-16-4, 102pts
10
FINAL
1 Thunderbirds
10-58-2, 22pts
Team Stats
W1StreakL4
25-8-1Home Record4-29-2
24-8-3Away Record6-29-0
7-3-0Last 10 Games2-7-1
4.99Buts par match 1.87
1.96Buts contre par match 7.47
17.71%Pourcentage en avantage numérique6.25%
83.46%Pourcentage en désavantage numérique70.59%
Thunderbirds
10-58-2, 22pts
2024-04-08
Bruins
49-16-4, 102pts
Statistiques d’équipe
L4SéquenceW1
4-29-2Fiche domicile25-8-1
6-29-0Fiche visiteur24-8-3
2-7-110 derniers matchs7-3-0
1.87Buts par match 4.99
7.47Buts contre par match 4.99
6.25%Pourcentage en avantage numérique17.71%
70.59%Pourcentage en désavantage numérique83.46%
Bruins
49-16-4, 102pts
2024-04-09
Islanders
10-60-0, 20pts
Statistiques d’équipe
W1SéquenceL15
25-8-1Fiche domicile4-30-0
24-8-3Fiche visiteur6-30-0
7-3-010 derniers matchs0-10-0
4.99Buts par match 1.87
1.96Buts contre par match 1.87
17.71%Pourcentage en avantage numérique10.23%
83.46%Pourcentage en désavantage numérique67.24%
Wolf Pack
53-12-4, 110pts
2024-04-10
Bruins
49-16-4, 102pts
Statistiques d’équipe
OTL1SéquenceW1
26-6-3Fiche domicile25-8-1
27-6-1Fiche visiteur24-8-3
8-1-110 derniers matchs7-3-0
5.58Buts par match 4.99
1.83Buts contre par match 4.99
17.71%Pourcentage en avantage numérique17.71%
87.54%Pourcentage en désavantage numérique83.46%
Meneurs d'équipe
Marian StudenicButs
Marian Studenic
75
Victor MetePasses
Victor Mete
80
Marian StudenicPoints
Marian Studenic
106
Lane PedersonPlus/Moins
Lane Pederson
75
Joseph WollVictoires
Joseph Woll
35
Joseph WollPourcentage d’arrêts
Joseph Woll
0.908

Statistiques d’équipe
Buts pour
344
4.99 GFG
Tirs pour
2174
31.51 Avg
Pourcentage en avantage numérique
17.7%
48 GF
Début de zone offensive
41.9%
Buts contre
135
1.96 GAA
Tirs contre
1281
18.57 Avg
Pourcentage en désavantage numérique
83.5%%
42 GA
Début de la zone défensive
34.1%
Informations de l'équipe

Directeur généralChris
EntraîneurRyan Warsofsky
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,830
Billets de saison0


Informations de la formation

Équipe Pro22
Équipe Mineure21
Limite contact 43 / 50
Espoirs43


Historique d'équipe

Saison actuelle49-16-4 (102PTS)
Historique0-0-0
Coupe Stanley0


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
1Jacob Peterson (R)XX100.007543898165768583448370677545467550710242925,000$
2Oliver WahlstromX100.0079857580806271673771725941606170506602411,431,667$
3Nathan WalkerX100.0080778672675784596462567225565765506303021,000,000$
4Lane PedersonX100.0090927371726267637260606425545465506202631,000,000$
5Marian StudenicX100.0069628572627376635060626259484964506202531,100,000$
6Fredrik Olofsson (R)X100.007644976773567464366056652546466250600283900,000$
7Pavol Regenda (R)XX100.006743906580577162446258672545456350600252925,000$
8Oskar SteenX100.007165846865798558735458625546466250600261925,000$
9Ben Meyers (R)XXX100.0067429470705471606950596725484861505902511,000,000$
10Jeffrey VielX100.006171376771707360505461585848486050590273900,000$
11Josh Dunne (R)X100.007580647880515055694758625544445950580252800,000$
12Stelio Mattheos (R)X100.0071717164715759506349475945444454505402531,000,000$
13Nick Cicek (R)X100.008387746378656957255947792545456150640241525,000$
14Victor MeteX100.0061418878656251582553477325646459506302611,250,000$
15Filip Roos (R)X100.007143916374696969255048712545456050620252925,000$
16William LagessonX100.007573797273677056254849644750505950610281750,000$
17Gustav Olofsson (R)X100.0079758772755254492543396337444453505802911,000,000$
Rayé
1Josiah Slavin (R)X100.007061907061758250634748594644445650560252925,000$
2Jake Livingstone (R)X100.007268826768525256504958615544445950570252775,000$
MOYENNE D’ÉQUIPE100.00736481717163696048565565414849615061
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
1Joseph Woll (R)100.006348607768636168656430454562506202631,000,000$
2Nico Daws100.00535468845255535854543046465450570232925,000$
3Jaxson Stauber (R)100.00495366704849505549493044445050520252925,000$
Rayé
MOYENNE D’ÉQUIPE100.0055526577565655605656304545555057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Warsofsky73707462514892USA333700,000$


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
1Marian StudenicBruins (BOS)RW6975311065450021912241510329318.07%25138720.11161228662330000011260.49%81001111.53120001772
2Victor MeteBruins (BOS)D6921801017546012064141348614.89%104154822.4461420712020000166210.00%000001.3000000466
3Nathan WalkerBruins (BOS)LW6935427755500217852156514016.28%11114816.64369271790002452074.00%5000021.3423000587
4Lane PedersonBruins (BOS)C69245074758410126711333911018.05%574810.85000016000033070.00%68000011.9802011254
5Fredrik OlofssonBruins (BOS)LW6925446972801649144379117.36%681311.780112130000514152.00%5000001.7000000335
6Pavol RegendaBruins (BOS)LW/RW693137685420068601944916215.98%10110115.97571232179000006262.50%6400001.2300000245
7Filip RoosBruins (BOS)D69125567612408742103326811.65%62139620.2541014461770222171110.00%000000.9600000332
8Oliver WahlstromBruins (BOS)RW3230356540420113371384011521.74%567621.1551015138111251006056.76%3700011.9201000654
9William LagessonBruins (BOS)D696556166535142267523638.00%55141620.5241014341760110182000.00%000000.8601001122
10Ben MeyersBruins (BOS)C/LW/RW692929587360643133399121.80%571710.4000001000007164.29%4200021.6200000252
11Oskar SteenBruins (BOS)C6913344773380684898275513.27%23110015.9500000000002174.09%19300000.8511000221
12Gustav OlofssonBruins (BOS)D69335386762010833448406.82%42110315.990111773000278100.00%000000.6900000020
13Jeffrey VielBruins (BOS)LW69141630223003923109246612.84%64065.8900000000002047.83%2300001.4801000002
14Josh DunneBruins (BOS)C698101814200341856124514.29%32723.941019310000112067.90%16200001.3201000010
15Jacob PetersonBruins (BOS)C/LW6641062011152121428.57%014524.212137311011201045.93%17200001.3800000200
16Nick CicekBruins (BOS)D11044520026811870.00%1123921.78011548000030000.00%000000.3300000000
17Jake LivingstoneBruins (BOS)D702211201428460.00%411816.960111500006000.00%000000.3400000000
Statistiques d’équipe totales ou en moyenne9533325638958235571514147462038546145216.29%3771434015.05467412033014512461287050965.57%1554001171.25412012495342
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
1Joseph WollBruins (BOS)4635740.9081.582774010737950000.58312460101
2Jaxson StauberBruins (BOS)2314800.8802.45124823514250301.00032369000
Statistiques d’équipe totales ou en moyenne69491540.8981.8540222131241220030156969101


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 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
Ben MeyersBruins (BOS)C/LW/RW251998-11-15Yes195 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$20,513$0$0$NoLien
Filip RoosBruins (BOS)D251999-05-01Yes190 Lbs6 ft4YesNoNo2Pro & Farm925,000$18,974$0$0$No925,000$Lien
Fredrik OlofssonBruins (BOS)LW281996-05-27Yes196 Lbs6 ft2NoNoNo3Pro & Farm900,000$18,462$0$0$No900,000$900,000$Lien
Gustav OlofssonBruins (BOS)D291994-12-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$20,513$0$0$NoLien / Lien NHL
Jacob PetersonBruins (BOS)C/LW241999-07-19Yes170 Lbs6 ft1NoNoNo2Pro & Farm925,000$18,974$0$0$No925,000$Lien
Jake LivingstoneBruins (BOS)D251999-04-16Yes205 Lbs6 ft3YesNoNo2Pro & Farm775,000$15,897$0$0$No775,000$Lien
Jaxson StauberBruins (BOS)G251999-04-27Yes175 Lbs6 ft3YesNoNo2Pro & Farm925,000$18,974$0$0$No925,000$Lien
Jeffrey VielBruins (BOS)LW271997-01-28No195 Lbs6 ft0NoNoNo3Pro & Farm900,000$18,462$0$0$No900,000$900,000$Lien
Joseph WollBruins (BOS)G261998-07-12Yes198 Lbs6 ft2YesNoNo3Pro & Farm1,000,000$20,513$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Josh DunneBruins (BOS)C251998-12-08Yes210 Lbs6 ft4NoNoNo2Pro & Farm800,000$16,410$0$0$No800,000$Lien
Josiah SlavinBruins (BOS)LW251998-12-31Yes161 Lbs6 ft0NoNoNo2Pro & Farm925,000$18,974$0$0$No925,000$Lien
Lane PedersonBruins (BOS)C261997-08-04No190 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$20,513$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Marian StudenicBruins (BOS)RW251998-10-28No165 Lbs6 ft0NoNoNo3Pro & Farm1,100,000$22,564$0$0$No1,100,000$1,100,000$Lien / Lien NHL
Nathan WalkerBruins (BOS)LW301994-02-07No186 Lbs5 ft9NoNoNo2Pro & Farm1,000,000$20,513$0$0$No1,000,000$Lien / Lien NHL
Nick CicekBruins (BOS)D242000-05-29Yes201 Lbs6 ft3YesNoNo1Pro & Farm525,000$10,769$0$0$NoLien
Nico DawsBruins (BOS)G232000-12-22No205 Lbs6 ft4NoNoNo2Pro & Farm925,000$18,974$0$0$No925,000$Lien
Oliver WahlstromBruins (BOS)RW242000-06-13No211 Lbs6 ft2NoNoNo1Pro & Farm1,431,667$29,368$0$0$NoLien / Lien NHL
Oskar SteenBruins (BOS)C261998-03-09No187 Lbs5 ft9NoNoNo1Pro & Farm925,000$18,974$0$0$NoLien / Lien NHL
Pavol RegendaBruins (BOS)LW/RW251999-07-12Yes219 Lbs6 ft3YesNoNo2Pro & Farm925,000$18,974$0$0$No925,000$Lien
Stelio MattheosBruins (BOS)RW251999-06-14Yes194 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$20,513$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Victor Mete (contrat à 1 volet)Bruins (BOS)D261998-06-07No187 Lbs5 ft9NoNoNo1Pro & Farm1,250,000$6,510$125,000$651$NoLien / Lien NHL
William LagessonBruins (BOS)D281996-02-22No196 Lbs6 ft2NoNoNo1Pro & Farm750,000$15,385$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.73193 Lbs6 ft11.95950,303$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marian Studenic40122
2Nathan WalkerPavol Regenda30122
3Fredrik OlofssonLane PedersonBen Meyers20122
4Jeffrey VielOskar Steen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor Mete40122
2Filip RoosWilliam Lagesson30122
3Gustav OlofssonOskar Steen20122
4Victor Mete10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marian Studenic60122
2Nathan WalkerPavol Regenda40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor Mete60122
2Filip RoosWilliam Lagesson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Nathan Walker40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor Mete60122
2Filip RoosWilliam Lagesson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Victor Mete60122
240122Filip RoosWilliam Lagesson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Nathan Walker40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor Mete60122
2Filip RoosWilliam Lagesson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marian StudenicVictor Mete
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marian StudenicVictor Mete
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Dunne, Lane Pederson, Fredrik OlofssonJosh Dunne, Lane PedersonFredrik Olofsson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gustav Olofsson, Filip Roos, William LagessonGustav OlofssonFilip Roos, William Lagesson
Tirs de pénalité
, , , Nathan Walker, Lane Pederson
Gardien
#1 : , #2 : Jaxson Stauber
Lignes d’attaque personnalisées en prolongation
, , , Nathan Walker, Lane Pederson, Marian Studenic, Marian Studenic, Pavol Regenda, Fredrik Olofsson, Oskar Steen, Jeffrey Viel
Lignes de défense personnalisées en prolongation
, Victor Mete, Filip Roos, William Lagesson, Gustav Olofsson


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
1 Americans2110000034-1110000003121010000003-320.5003690014110993436704701765185418313715213.33%13284.62%0924184050.22%608149840.59%535105450.76%219117161235377733416
2Bears660000005064433000000252233300000025421121.000509114101141109934287704701765189020289511436.36%14378.57%0924184050.22%608149840.59%535105450.76%219117161235377733416
3Checkers41200001913-42110000045-12010000158-330.3759142300141109934787047017651810222466923313.04%21480.95%0924184050.22%608149840.59%535105450.76%219117161235377733416
4Comets40300100914-52020000036-32010010068-210.125915240014110993473704701765181133455712129.52%23482.61%0924184050.22%608149840.59%535105450.76%219117161235377733416
5Crunch4400000028919220000001431122000000146881.0002847750014110993412770470176518822028966350.00%14471.43%0924184050.22%608149840.59%535105450.76%219117161235377733416
6Islanders11110000007376666000000395345500000034232221.000731302030614110993443470470176518135495424118633.33%27196.30%0924184050.22%608149840.59%535105450.76%219117161235377733416
7Marlies22000000734110000004221100000031241.000711180014110993438704701765184117124312216.67%6183.33%0924184050.22%608149840.59%535105450.76%219117161235377733416
8Monsters421000101385210000108442110000054160.7501321340014110993497704701765188026347930413.33%14378.57%0924184050.22%608149840.59%535105450.76%219117161235377733416
9Penguins641000011587320000017433210000084490.750152641011411099341507047017651811030611283226.25%26292.31%1924184050.22%608149840.59%535105450.76%219117161235377733416
10Phantoms633000001519-431200000713-63210000086260.5001526410014110993411870470176518115346011736513.89%27677.78%0924184050.22%608149840.59%535105450.76%219117161235377733416
11Thunderbirds11110000009388555000000464426600000047443221.000931662590514110993455070470176518126484823914428.57%23195.65%0924184050.22%608149840.59%535105450.76%219117161235377733416
12Wolf Pack935001002936-7413000001322-9522001001614270.38929477600141109934186704701765182337296170531120.75%461176.09%1924184050.22%608149840.59%535105450.76%219117161235377733416
Total694816002123441352093424800011173711023524800201171641071020.739344600944013141109934217470470176518128139055313852714817.71%2544283.46%2924184050.22%608149840.59%535105450.76%219117161235377733416
_Since Last GM Reset694816002123441352093424800011173711023524800201171641071020.739344600944013141109934217470470176518128139055313852714817.71%2544283.46%2924184050.22%608149840.59%535105450.76%219117161235377733416
_Vs Conference563615002122481231252818800011124665828187002011245767780.69624842867608141109934158870470176518110132447411092424217.36%2183982.11%2924184050.22%608149840.59%535105450.76%219117161235377733416
_Vs Division46281100102204981062314600001102564623145001011024260590.641204356560081411099341345704701765188762653889012013416.92%1773083.05%2924184050.22%608149840.59%535105450.76%219117161235377733416

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
69102W1344600944217412813905531385013
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6948160212344135
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
34248001117371
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
35248020117164
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2714817.71%2544283.46%2
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
70470176518141109934
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
924184050.22%608149840.59%535105450.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
219117161235377733416


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
4 - 2023-10-025Wolf Pack4Bruins5BWSommaire du match
6 - 2023-10-0427Bruins9Thunderbirds0AWSommaire du match
9 - 2023-10-0733Islanders0Bruins7BWSommaire du match
11 - 2023-10-0937Bears1Bruins8BWSommaire du match
12 - 2023-10-1053Bears0Bruins10BWSommaire du match
19 - 2023-10-1793Bruins8Thunderbirds0AWSommaire du match
20 - 2023-10-18101Thunderbirds1Bruins10BWSommaire du match
23 - 2023-10-21109Bruins4Penguins1AWSommaire du match
25 - 2023-10-23114Bruins4Monsters1AWSommaire du match
26 - 2023-10-24128Bruins1Monsters3ALSommaire du match
32 - 2023-10-30155Thunderbirds1Bruins11BWSommaire du match
33 - 2023-10-31163Bruins5Wolf Pack1AWSommaire du match
34 - 2023-11-01176Wolf Pack6Bruins4BLSommaire du match
39 - 2023-11-06196Penguins0Bruins2BWSommaire du match
40 - 2023-11-07214Penguins1Bruins3BWSommaire du match
41 - 2023-11-08218Bruins5Islanders0AWSommaire du match
44 - 2023-11-11229Bruins2Wolf Pack3ALXSommaire du match
46 - 2023-11-13242Bruins1Phantoms4ALSommaire du match
47 - 2023-11-14254Bruins7Islanders1AWSommaire du match
53 - 2023-11-20281Islanders1Bruins8BWSommaire du match
54 - 2023-11-21295Bruins8Islanders0AWSommaire du match
55 - 2023-11-22306Phantoms1Bruins3BWSommaire du match
60 - 2023-11-27319Bruins2Phantoms1AWSommaire du match
61 - 2023-11-28331Bruins3Penguins1AWSommaire du match
65 - 2023-12-02350Bruins10Bears1AWSommaire du match
67 - 2023-12-04363Marlies2Bruins4BWSommaire du match
69 - 2023-12-06384Crunch2Bruins7BWSommaire du match
72 - 2023-12-09390Bruins3Marlies1AWSommaire du match
74 - 2023-12-11408Bruins0 Americans3ALSommaire du match
75 - 2023-12-12416Bruins6Bears1AWSommaire du match
79 - 2023-12-16426Bruins6Islanders1AWSommaire du match
81 - 2023-12-18440Bruins3Comets4ALXSommaire du match
82 - 2023-12-19458Bruins8Thunderbirds2AWSommaire du match
89 - 2023-12-26495Bruins3Thunderbirds1AWSommaire du match
90 - 2023-12-27506Thunderbirds2Bruins5BWSommaire du match
95 - 2024-01-01523Penguins3Bruins2BLXXSommaire du match
96 - 2024-01-02539Bruins5Wolf Pack2AWSommaire du match
97 - 2024-01-03546Islanders2Bruins4BWSommaire du match
100 - 2024-01-06558Bruins1Penguins2ALSommaire du match
102 - 2024-01-08565Bruins8Crunch3AWSommaire du match
104 - 2024-01-10590Islanders0Bruins5BWSommaire du match
109 - 2024-01-15611Islanders0Bruins9BWSommaire du match
110 - 2024-01-16624Bruins8Islanders0AWSommaire du match
111 - 2024-01-17638Checkers3Bruins0BLSommaire du match
116 - 2024-01-22655Bruins1Checkers3ALSommaire du match
117 - 2024-01-23671Bruins4Checkers5ALXXSommaire du match
123 - 2024-01-29689Bears1Bruins7BWSommaire du match
124 - 2024-01-30698Bruins4Wolf Pack6ALSommaire du match
130 - 2024-02-05728Islanders2Bruins6BWSommaire du match
132 - 2024-02-07752Wolf Pack5Bruins2BLSommaire du match
137 - 2024-02-12773Monsters2Bruins3BWXXSommaire du match
138 - 2024-02-13793Bruins9Thunderbirds0AWSommaire du match
139 - 2024-02-14799Monsters2Bruins5BWSommaire du match
144 - 2024-02-19822Thunderbirds0Bruins11BWSommaire du match
146 - 2024-02-21843Wolf Pack7Bruins2BLSommaire du match
151 - 2024-02-26857Bruins0Wolf Pack2ALSommaire du match
153 - 2024-02-28885Thunderbirds0Bruins9BWSommaire du match
158 - 2024-03-04909Phantoms6Bruins2BLSommaire du match
159 - 2024-03-05920Phantoms6Bruins2BLSommaire du match
166 - 2024-03-12968Checkers2Bruins4BWSommaire du match
167 - 2024-03-13975Crunch1Bruins7BWSommaire du match
169 - 2024-03-15983Bruins9Bears2AWSommaire du match
172 - 2024-03-18999Bruins3Comets4ALSommaire du match
173 - 2024-03-191013Bruins6Crunch3AWSommaire du match
179 - 2024-03-251040Bruins5Phantoms1AWSommaire du match
180 - 2024-03-261052 Americans1Bruins3BWSommaire du match
186 - 2024-04-011080Comets3Bruins2BLSommaire du match
187 - 2024-04-021095Comets3Bruins1BLSommaire du match
188 - 2024-04-031104Bruins10Thunderbirds1AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
193 - 2024-04-081122Thunderbirds-Bruins-
194 - 2024-04-091131Bruins-Islanders-
195 - 2024-04-101146Wolf Pack-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance30,17232,033
Assistance PCT44.37%94.21%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 1830 - 60.99% 88,741$3,017,200$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,595,510$ 1,965,667$ 1,965,667$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,080$ 1,909,847$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
177,482$ 4 13,670$ 54,680$




Bruins Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bruins Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bruins Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Bruins Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bruins Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA