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Bruins
GP: 18 | W: 11 | L: 6 | OTL: 1 | P: 23
GF: 88 | GA: 40 | PP%: 18.99% | PK%: 88.61%
DG: Chris | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Bruins
11-6-1, 23pts
2
FINAL
1 Canucks
13-4-1, 27pts
Team Stats
L1StreakL1
6-2-1Home Record6-2-1
5-4-0Away Record7-2-0
5-4-1Last 10 Games8-2-0
4.89Buts par match 5.78
2.22Buts contre par match 3.44
18.99%Pourcentage en avantage numérique21.74%
88.61%Pourcentage en désavantage numérique79.17%
Rocket
18-0-0, 36pts
2
FINAL
0 Bruins
11-6-1, 23pts
Team Stats
W18StreakL1
9-0-0Home Record6-2-1
9-0-0Away Record5-4-0
10-0-0Last 10 Games5-4-1
6.33Buts par match 4.89
1.44Buts contre par match 2.22
25.71%Pourcentage en avantage numérique18.99%
89.74%Pourcentage en désavantage numérique88.61%
Meneurs d'équipe
Buts
Ben Meyers
14
Passes
Alex Newhook
18
Points
Alex Newhook
31
Plus/Moins
Alex Newhook
19
Joseph WollVictoires
Joseph Woll
11
Joseph WollPourcentage d’arrêts
Joseph Woll
0.883

Statistiques d’équipe
Buts pour
88
4.89 GFG
Tirs pour
538
29.89 Avg
Pourcentage en avantage numérique
19.0%
15 GF
Début de zone offensive
41.0%
Buts contre
40
2.22 GAA
Tirs contre
332
18.44 Avg
Pourcentage en désavantage numérique
88.6%%
9 GA
Début de la zone défensive
34.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 50
Espoirs42


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
1Morgan FrostX100.0075439085637397768076746553606075507102413,000,000$
2Jacob Peterson (R)XX100.007543898165768583448370677545467550710242925,000$
3Alex NewhookXX100.006942918468679968636570642560617050670222908,333$
4Nathan WalkerX100.0080778672675784596462567225565765506302921,000,000$
5Lane PedersonX100.0090927371726267637260606425545465506202631,000,000$
6Marian StudenicX100.0069628572627376635060626259484964506202431,100,000$
7Fredrik Olofsson (R)X100.007644976773567464366056652546466250600273900,000$
8Pavol Regenda (R)XX100.006743906580577162446258672545456350600242925,000$
9Oskar SteenX100.007165846865798558735458625546466250600251925,000$
10Ben Meyers (R)XXX100.0067429470705471606950596725484861505902411,000,000$
11Jeffrey VielX100.006171376771707360505461585848486050590263900,000$
12Josh Dunne (R)X100.007580647880515055694758625544445950580242800,000$
13Victor MeteX100.0061418878656251582553477325646459506302511,250,000$
14Filip Roos (R)X100.007143916374696969255048712545456050620242925,000$
15William LagessonX100.007573797273677056254849644750505950610271750,000$
16Gustav Olofsson (R)X100.0079758772755254492543396337444453505802811,000,000$
17Jake Livingstone (R)X100.007268826768525256504958615544445950570242775,000$
Rayé
1Josiah Slavin (R)X100.007061907061758250634748594644445650560242925,000$
2Stelio Mattheos (R)X100.0071717164715759506349475945444454505402431,000,000$
MOYENNE D’ÉQUIPE100.00726083727064726152565764414949625061
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)100.006348607768636168656430454562506202531,000,000$
2Jaxson Stauber (R)100.00495366704849505549493044445050520242925,000$
Rayé
1Matthew Villalta (R)100.00504050705350505552523044445050520242900,000$
MOYENNE D’ÉQUIPE100.0054475972565454595555304444545055
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
1Alex NewhookBruins (BOS)C/LW181318311920213457135222.81%227915.52461014450000111077.90%18100002.2200000142
2Victor MeteBruins (BOS)D1811718111201414328183.13%1239121.741671761000055000.00%000000.9200000000
3William LagessonBruins (BOS)D18216181914029102071810.00%1336420.24112959000157000.00%000000.9900000021
4Ben MeyersBruins (BOS)C/LW/RW1814317880332164204621.88%526414.7200003000003077.78%900011.2800000400
5Jacob PetersonBruins (BOS)C/LW1061016540141736102216.67%122022.0114511460003400156.11%22100001.4500000122
6Nathan WalkerBruins (BOS)LW1851116148032203762813.51%228615.940110350004621077.78%1800001.1200000032
7Filip RoosBruins (BOS)D1801515171801992013200.00%1436420.240221460000155000.00%000000.8200000001
8Gustav OlofssonBruins (BOS)D18113141524046983812.50%1930917.21011018011033000.00%000000.9000000101
9Marian StudenicBruins (BOS)RW186814156017848142512.50%128015.583037380003172066.67%1800001.0000000000
10Morgan FrostBruins (BOS)C108513760101135123622.86%019619.610118481011311171.36%19900001.3300000111
11Pavol RegendaBruins (BOS)LW/RW187613160061246122415.22%125013.900338580000120064.29%1400011.0400000100
12Lane PedersonBruins (BOS)C144812102810302625141816.00%217412.500000220000110075.36%13800001.3700200001
13Jeffrey VielBruins (BOS)LW186511171202792881421.43%218510.3300000000000071.43%700001.1800000010
14Nick CicekBruinsD1065114140167152240.00%721621.66415938000028100.00%000001.0200000100
15Fredrik OlofssonBruins (BOS)LW1837109209131871716.67%11729.601125450113321046.15%1300001.1600000001
16Oskar SteenBruins (BOS)C182246403252340.00%4683.8200000000000060.00%500001.1600000100
17Josh DunneBruins (BOS)C1430318017182692811.54%21077.6900002000051074.68%7900000.5600000000
18Jake LivingstoneBruins (BOS)D3000020600020.00%35117.130000300005000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne277871492361931721034924052016038116.73%91418515.111527421025891231646211269.40%90200021.1300200111312
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)1811610.8832.18104601383240100.00%0180000
2Jaxson StauberBruins (BOS)10000.7503.333600280000.00%0018000
Statistiques d’équipe totales ou en moyenne1911610.8802.221083014033201001818000


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
Alex NewhookBruins (BOS)C/LW222001-01-28No192 Lbs5 ft10NoNoNo2Pro & Farm908,333$908,333$0$0$No908,333$Lien
Ben MeyersBruins (BOS)C/LW/RW241998-11-15Yes195 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Filip RoosBruins (BOS)D241999-05-01Yes190 Lbs6 ft4YesNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Fredrik OlofssonBruins (BOS)LW271996-05-27Yes196 Lbs6 ft2NoNoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$Lien
Gustav OlofssonBruins (BOS)D281994-12-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien / Lien NHL
Jacob PetersonBruins (BOS)C/LW241999-07-19Yes170 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Jake LivingstoneBruins (BOS)D241999-04-16Yes205 Lbs6 ft3YesNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Jaxson StauberBruins (BOS)G241999-04-27Yes175 Lbs6 ft3YesNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Jeffrey VielBruins (BOS)LW261997-01-28No195 Lbs6 ft0NoNoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$Lien
Joseph WollBruins (BOS)G251998-07-12Yes198 Lbs6 ft2YesNoNo3Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Josh DunneBruins (BOS)C241998-12-08Yes210 Lbs6 ft4NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Josiah SlavinBruins (BOS)LW241998-12-31Yes161 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Lane PedersonBruins (BOS)C261997-08-04No190 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Marian StudenicBruins (BOS)RW241998-10-28No165 Lbs6 ft0NoNoNo3Pro & Farm1,100,000$1,100,000$0$0$No1,100,000$1,100,000$Lien / Lien NHL
Matthew VillaltaBruins (BOS)G241999-06-03Yes165 Lbs6 ft4NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien
Morgan FrostBruins (BOS)C241999-05-14No170 Lbs5 ft11NoNoNo1Pro & Farm3,000,000$3,000,000$0$0$NoLien / Lien NHL
Nathan WalkerBruins (BOS)LW291994-02-07No186 Lbs5 ft9NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Oskar SteenBruins (BOS)C251998-03-09No187 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Pavol RegendaBruins (BOS)LW/RW241999-07-12Yes219 Lbs6 ft3YesNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Stelio MattheosBruins (BOS)RW241999-06-14Yes194 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Victor Mete (contrat à 1 volet)Bruins (BOS)D251998-06-07No187 Lbs5 ft9NoNoNo1Pro & Farm1,250,000$1,250,000$125,000$125,000$NoLien / Lien NHL
William LagessonBruins (BOS)D271996-02-22No196 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.91188 Lbs6 ft12.001,037,879$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex NewhookJacob PetersonMarian Studenic40122
2Nathan WalkerMorgan FrostPavol Regenda30122
3Fredrik OlofssonLane PedersonBen Meyers20122
4Jeffrey VielOskar SteenJacob Peterson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteFilip Roos40122
2William LagessonGustav Olofsson30122
3Jake LivingstoneOskar Steen20122
4Victor MeteFilip Roos10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex NewhookJacob PetersonMarian Studenic60122
2Nathan WalkerMorgan FrostPavol Regenda40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteFilip Roos60122
2William LagessonGustav Olofsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jacob PetersonMorgan Frost60122
2Alex NewhookNathan Walker40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteFilip Roos60122
2William LagessonGustav Olofsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jacob Peterson60122Victor MeteFilip Roos60122
2Morgan Frost40122William LagessonGustav Olofsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jacob PetersonMorgan Frost60122
2Alex NewhookNathan Walker40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteFilip Roos60122
2William LagessonGustav Olofsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex NewhookJacob PetersonMarian StudenicVictor MeteFilip Roos
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex NewhookJacob PetersonMarian StudenicVictor MeteFilip Roos
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Dunne, Lane Pederson, Fredrik OlofssonJosh Dunne, Lane PedersonFredrik Olofsson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Livingstone, William Lagesson, Gustav OlofssonJake LivingstoneWilliam Lagesson, Gustav Olofsson
Tirs de pénalité
Jacob Peterson, Morgan Frost, Alex Newhook, Nathan Walker, Lane Pederson
Gardien
#1 : Joseph Woll, #2 : Jaxson Stauber
Lignes d’attaque personnalisées en prolongation
Jacob Peterson, Morgan Frost, Alex Newhook, Nathan Walker, Lane Pederson, Marian Studenic, Marian Studenic, Pavol Regenda, Oskar Steen, Fredrik Olofsson, Jeffrey Viel
Lignes de défense personnalisées en prolongation
Victor Mete, Filip Roos, William Lagesson, Gustav Olofsson, Jake Livingstone


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
1Canucks22000000835110000006241100000021141.00081220003830200361851821674351518341000.00%9188.89%029248560.21%24340959.41%19328867.01%573444313100197111
2Comets220000001811711000000716110000001101141.00018335101383020079185182167420512446233.33%60100.00%129248560.21%24340959.41%19328867.01%573444313100197111
3Crunch2200000013310110000007251100000061541.000132336003830200711851821674468184210550.00%90100.00%029248560.21%24340959.41%19328867.01%573444313100197111
4Griffins210001008531000010023-11100000062430.750813210038302006018518216744891227600.00%60100.00%029248560.21%24340959.41%19328867.01%573444313100197111
5Marlies2110000059-4110000004311010000016-520.50051015003830200311851821674439262516212.50%12283.33%029248560.21%24340959.41%19328867.01%573444313100197111
6Monsters2020000047-31010000023-11010000024-200.000481200383020042185182167440172245500.00%10280.00%029248560.21%24340959.41%19328867.01%573444313100197111
7Rocket2020000026-41010000002-21010000024-200.000246003830200391851821674441127421119.09%11281.82%029248560.21%24340959.41%19328867.01%573444313100197111
8Senators22000000192171100000010191100000091841.000193352003830200108185182167429721396233.33%7185.71%029248560.21%24340959.41%19328867.01%573444313100197111
9Stars11000000918110000009180000000000021.000914230038302004818518216748343611100.00%20100.00%029248560.21%24340959.41%19328867.01%573444313100197111
10Wild1010000023-1000000000001010000023-100.000246003830200241851821674191014178225.00%7185.71%029248560.21%24340959.41%19328867.01%573444313100197111
Total18116001008840489620010047182995400000412219230.63988154242013830200538185182167433294174351791518.99%79988.61%129248560.21%24340959.41%19328867.01%573444313100197111
_Since Last GM Reset18116001008840489620010047182995400000412219230.63988154242013830200538185182167433294174351791518.99%79988.61%129248560.21%24340959.41%19328867.01%573444313100197111
_Vs Conference16105001007736418520010038172185300000391920210.65677136213013830200466185182167430581156298701217.14%70888.57%129248560.21%24340959.41%19328867.01%573444313100197111
_Vs Division40000000228142000000094520000000134900.00022416301383020012118518216746022348911218.18%16287.50%129248560.21%24340959.41%19328867.01%573444313100197111

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1823L1881542425383329417435101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1811601008840
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
96201004718
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95400004122
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
791518.99%79988.61%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
18518216743830200
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
29248560.21%24340959.41%19328867.01%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
573444313100197111


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1 - 2023-09-2911Comets1Bruins7BWSommaire du match
2 - 2023-09-3017Bruins2Wild3ALSommaire du match
3 - 2023-10-0133Bruins11Comets0AWSommaire du match
4 - 2023-10-0251Canucks2Bruins6BWSommaire du match
6 - 2023-10-0476Bruins1Marlies6ALSommaire du match
7 - 2023-10-0584Crunch2Bruins7BWSommaire du match
9 - 2023-10-07109Marlies3Bruins4BWSommaire du match
11 - 2023-10-09130Senators1Bruins10BWSommaire du match
12 - 2023-10-10150Bruins2Rocket4ALSommaire du match
13 - 2023-10-11161Bruins6Crunch1AWSommaire du match
14 - 2023-10-12176Monsters3Bruins2BLSommaire du match
15 - 2023-10-13189Bruins2Monsters4ALSommaire du match
16 - 2023-10-14203Bruins9Senators1AWSommaire du match
18 - 2023-10-16219Stars1Bruins9BWSommaire du match
20 - 2023-10-18242Griffins3Bruins2BLXSommaire du match
21 - 2023-10-19254Bruins6Griffins2AWSommaire du match
22 - 2023-10-20263Bruins2Canucks1AWSommaire du match
24 - 2023-10-22286Rocket2Bruins0BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,158,333$ 2,158,333$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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