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Connexion

Bruins
GP: 82 | W: 39 | L: 31 | OTL: 12 | P: 90
GF: 268 | GA: 271 | PP%: 23.25% | PK%: 84.59%
DG: Libre | Morale : 57 | Moyenne d’équipe : 68
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Centre de jeu
Kings
53-20-9, 115pts
4
FINAL
2 Bruins
39-31-12, 90pts
Team Stats
W1SéquenceL3
27-10-4Fiche domicile17-17-7
26-10-5Fiche domicile22-14-5
6-1-3Derniers 10 matchs1-7-2
3.20Buts par match 3.27
2.74Buts contre par match 3.30
17.19%Pourcentage en avantage numérique23.25%
80.63%Pourcentage en désavantage numérique84.59%
Canucks
37-32-13, 87pts
5
FINAL
3 Bruins
39-31-12, 90pts
Team Stats
W1SéquenceL3
17-19-5Fiche domicile17-17-7
20-13-8Fiche domicile22-14-5
4-5-1Derniers 10 matchs1-7-2
3.41Buts par match 3.27
3.46Buts contre par match 3.30
18.48%Pourcentage en avantage numérique23.25%
78.34%Pourcentage en désavantage numérique84.59%
Meneurs d'équipe
Buts
Nico Sturm
36
Passes
Jack Roslovic
53
Points
Jack Roslovic
84
Plus/Moins
Ivan Barbashev
18
Victoires
Chris Driedger
26
Pourcentage d’arrêts
Chris Driedger
0.904

Statistiques d’équipe
Buts pour
268
3.27 GFG
Tirs pour
2614
31.88 Avg
Pourcentage en avantage numérique
23.2%
53 GF
Début de zone offensive
38.2%
Buts contre
271
3.30 GAA
Tirs contre
2605
31.77 Avg
Pourcentage en désavantage numérique
84.6%%
41 GA
Début de la zone défensive
38.8%
Informations de l'équipe

Directeur généralLibre
EntraîneurClaude Julien
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,404
Billets de saison1,800


Informations de la formation

Équipe Pro34
Équipe Mineure20
Limite contact 54 / 60
Espoirs37


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
1Andreas Johnsson (R)X100.0074399469756675883494917475817659757602922,000,000$
2Ivan Barbashev (R)X100.0081607279788687846380768168767967787502832,000,000$
3Anton Lundell (R)X100.006955728681877883717873742581594962730223925,000$
4Nico Sturm (R)X100.007955837584858581857375752578715961720291725,000$
5Philipp Kurashev (R)X100.007145928181878080697569712577615245710241842,500$
6Samuel Blais (R)X100.008950767482818676407569702574766465700272600,000$
7Dakota Joshua (R)X100.008876687583838075557271732575615254700271750,000$
8Stefan Matteau (R)X100.007138926379537379677876706161606665680301575,000$
9Anders Bjork (R)X100.007843906876668371617572634578656265670271700,000$
10Joey Anderson (R)X100.006740847483827570406265672571715965660252575,000$
11Lias Andersson (R)X100.007441846877608167716665746558716264650251575,000$
12Karson Kuhlman (R)X100.007140877573828069406463702569706016650282575,000$
13Connor Clifton (R)X100.0079766785758685794077688625787159607602921,000,000$
14Jani Hakanpaa (R)X100.0078616775888783774070699125756654387503221,500,000$
15David Warsofsky (R)X100.0068615769696483684868528454919733697003331,000,000$
16Dylan McIlrath (R)X100.007663545783757576307054722586856031680322900,000$
17William Lagesson (R)X100.007042876376607868257672792550735450670283700,000$
18Ville Heinola (R)X100.006355927173545873258279675067705820660233700,000$
Rayé
1Jack Roslovic (R)X87.7470409377828687837081727425787967637302732,000,000$
2Martin Frk (R)X100.008285666376787573547068636962626316650303600,000$
3Lean Bergmann (R)X100.006629976476557271607068676269675018640253575,000$
4Grigori Denisenko (R)X100.006219997071697766576459667465687916630231925,000$
5Yegor Sokolov (R)X100.006341616173646566446661712563515019610232818,333$
6Oskar Steen (R)X100.007565856576646656737269605546465820610262800,000$
7Jesper Froden (R)X100.006040717257676765436263672567585019612291750,000$
8Taylor Leier (R)X100.002710997069526854665448775278654519580301575,000$
9Marc McLaughlin (R)X100.006345656766626362586157602562515019581243883,750$
10Kevin Gravel (R)X100.006240827082837867406160682567816946670322700,000$
11Wyatt Kaiser (R)X100.005540757576876066406360662567515019641213916,667$
12Andy Welinski (R)X100.005424876476576370306460745376655119630313575,000$
13Jacob Moverare (R)X100.006045676765636464406254662562525020600252762,500$
MOYENNE D’ÉQUIPE99.58694780717672757251706672407167574267
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
1Chris Driedger (R)100.008394878184999999998382818449688802911,850,000$
2Marcus Hogberg (R)100.007882858783848685847877818549688102921,000,000$
Rayé
1Zane McIntyre (R)100.00685567797176747575615880754920700313575,000$
MOYENNE D’ÉQUIPE100.0076778082798686868674728181495280
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Julien98959099999995CAN6325,000,000$


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
1Jack RoslovicBruins (BOS)C7831538441715971952427015212.81%40158420.31912211917700071603350.45%18853527011.0605021964
2Nico SturmBruins (BOS)LW82363672-1185751341212727615113.24%42153818.76111021281611019878260.68%1176630000.9406645524
3Anton LundellBruins (BOS)C78333972-987451351902618818912.64%33148219.001011211715500041005150.74%15475939100.9716036347
4Ivan BarbashevBruins (BOS)LW61264571185830142921847313314.13%33130021.31410142314510131622346.31%1494535001.0947231373
5Andreas JohnssonBruins (BOS)RW65293665815151051202177715413.36%32138221.26513182315500041851239.70%3983725000.9437201563
6Samuel BlaisBruins (BOS)RW82193453-277451711101624510611.73%31142817.425131816162000044331.58%953027000.7401126421
7Dakota JoshuaBruins (BOS)C82192544-11121651551181575611812.10%25105012.82112322000056343.74%7752924000.8401463134
8Philipp KurashevBruins (BOS)LW70142337-1317158493194691247.22%21102314.622247480111490257.81%644417000.7214111102
9Connor CliftonBruins (BOS)D7982836-923313514513814760465.44%121179522.724913202090001211000%02965000.400031014010
10Anders BjorkBruins (BOS)RW82181735-26010574106308016.98%17107913.160110290000232147.37%572828000.6501000214
11Stefan MatteauBruins (BOS)LW82141630400575914449939.72%1486610.56000040001803138.10%422010000.6902000210
12Jani HakanpaaBruins (BOS)D7921921-21697512814310534471.90%103180522.86088162130002208000%01854000.2300834111
13David WarsofskyBruins (BOS)D8202020-9159751691377125350%106174221.2601141300110152000%01156000.2301753000
14Joey AndersonBruins (BOS)RW828715-740533876245410.53%146608.0600002000030147.62%2197000.4500000002
15William LagessonBruins (BOS)D6701414-5411554904116170%63111316.62000017000055000%0844000.2500120000
16Dylan McIlrathBruins (BOS)D8011011-11133651501346329331.59%77162820.3612321220002140000%01049000.1400355001
17Lias AnderssonBruins (BOS)C823710-86064664216427.14%196147.49000010000250044.76%24864000.3322000001
18Ville HeinolaBruins (BOS)D28099-9551542241470%2849017.5300004000051000%01015000.3701001010
19Kevin GravelBruins (BOS)D59088823551745012130%54101117.14000015000043000%0325000.1600100000
20Wyatt KaiserBruins (BOS)D18134712092213447.69%1331117.3210110011025010%0210000.2600000000
21Karson KuhlmanBruins (BOS)C70222409810240%07410.7000000000000036.17%4720000.5300000000
22Grigori DenisenkoBruins (BOS)LW33112-9001213197145.26%72357.1300000000010014.29%733000.1712000001
23Martin FrkBruins (BOS)RW17011-413518514380%31187.0000000000000050.00%244000.1701001000
24Lean BergmannBruins (BOS)C1000000010000%088.5500000000000066.67%30000000000000
Statistiques d’équipe totales ou en moyenne1476263453716-701285685206220832614879162410.06%8962434716.5053931461791782235341780342348.10%5457508598110.591247394652363538
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
1Chris DriedgerBruins (BOS)57262270.9043.073263201671731691010.767305428332
2Marcus HogbergBruins (BOS)3213950.8893.3817220197872359010.833182854100
Statistiques d’équipe totales ou en moyenne893931120.8993.184986212642603105002488282432


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 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
Anders BjorkBruins (BOS)RW271996-08-05 11:08:17Yes190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------
Andreas JohnssonBruins (BOS)RW291994-11-21 05:30:22Yes181 Lbs5 ft10NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Andy WelinskiBruins (BOS)D311993-04-27 05:14:06Yes201 Lbs6 ft1NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Anton LundellBruins (BOS)C222001-10-03 13:18:57Yes185 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Chris DriedgerBruins (BOS)G291994-05-18 17:11:14Yes205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,850,000$0$0$No------------------
Connor CliftonBruins (BOS)D291995-04-28 07:55:45Yes190 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
Dakota JoshuaBruins (BOS)C271996-05-15 14:11:31Yes206 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
David WarsofskyBruins (BOS)D331990-05-30 17:11:13Yes177 Lbs5 ft9NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------
Dylan McIlrathBruins (BOS)D321992-04-20 05:11:13Yes231 Lbs6 ft5NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------
Grigori DenisenkoBruins (BOS)LW232000-06-24 14:14:29Yes181 Lbs5 ft11NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Ivan BarbashevBruins (BOS)LW281995-12-14 14:06:19Yes195 Lbs6 ft1NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Jack Roslovic (sur la masse salariale)Bruins (BOS)C271997-01-29 09:38:55Yes200 Lbs6 ft1NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Jacob MoverareBruins (BOS)D251998-08-31 04:14:19Yes198 Lbs6 ft3NoNoN/ANoNo2Pro & Farm762,500$0$0$No762,500$--------No--------
Jani HakanpaaBruins (BOS)D321992-03-31 06:15:23Yes225 Lbs6 ft6NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------
Jesper FrodenBruins (BOS)RW291994-09-21 12:35:21Yes176 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Joey AndersonBruins (BOS)RW251998-06-19 05:32:49Yes207 Lbs6 ft0NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Karson KuhlmanBruins (BOS)C281995-09-26 08:48:54Yes184 Lbs5 ft10NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Kevin GravelBruins (BOS)D321992-03-06 07:31:12Yes205 Lbs6 ft4NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Lean BergmannBruins (BOS)C251998-10-04 11:33:12Yes205 Lbs6 ft2NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Lias AnderssonBruins (BOS)C251998-10-13 05:12:22Yes190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Marc McLaughlinBruins (BOS)C241999-07-26 03:21:35Yes205 Lbs6 ft0NoNoN/ANoNo3Pro & Farm883,750$0$0$No883,750$883,750$-------NoNo-------
Marcus HogbergBruins (BOS)G291994-11-25 05:28:10Yes209 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
Martin FrkBruins (BOS)RW301993-10-05 08:21:53Yes205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm600,000$0$0$No600,000$600,000$-------NoNo-------
Nico SturmBruins (BOS)LW291995-05-03 04:37:50Yes209 Lbs6 ft3NoNoN/ANoNo1Pro & Farm725,000$0$0$No------------------
Oskar SteenBruins (BOS)C261998-03-09 05:57:53Yes187 Lbs5 ft9NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Philipp KurashevBruins (BOS)LW241999-10-12 14:07:42Yes190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------
Samuel BlaisBruins (BOS)RW271996-06-17 05:30:13Yes206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm600,000$0$0$No600,000$--------No--------
Stefan MatteauBruins (BOS)LW301994-02-23 17:11:13Yes220 Lbs6 ft2NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Taylor LeierBruins (BOS)LW301994-02-15 17:11:13Yes176 Lbs5 ft10NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Ville HeinolaBruins (BOS)D232001-03-02 06:18:33Yes178 Lbs5 ft11NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
William LagessonBruins (BOS)D281996-02-22 06:20:50Yes207 Lbs6 ft2NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Wyatt KaiserBruins (BOS)D212002-07-31 13:24:24Yes173 Lbs6 ft0NoNoN/ANoNo3Pro & Farm916,667$0$0$No916,667$916,667$-------NoNo-------
Yegor SokolovBruins (BOS)RW232000-06-07 04:07:46Yes223 Lbs6 ft3NoNoN/ANoNo2Pro & Farm818,333$0$0$No818,333$--------No--------
Zane McIntyreBruins (BOS)G311992-08-20 04:07:18Yes208 Lbs6 ft2NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3427.44198 Lbs6 ft12.06910,257$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan BarbashevAnton LundellAndreas Johnsson35122
2Nico SturmDakota JoshuaSamuel Blais35122
3Philipp KurashevKarson KuhlmanAnders Bjork25122
4Stefan MatteauLias AnderssonJoey Anderson5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CliftonJani Hakanpaa35122
2David WarsofskyDylan McIlrath35122
3William LagessonVille Heinola30122
4Connor CliftonJani Hakanpaa0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan BarbashevAnton LundellAndreas Johnsson60122
2Nico SturmDakota JoshuaSamuel Blais40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CliftonJani Hakanpaa60122
2David WarsofskyDylan McIlrath40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andreas JohnssonIvan Barbashev60122
2Anton LundellNico Sturm40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CliftonJani Hakanpaa60122
2David WarsofskyDylan McIlrath40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andreas Johnsson60122Connor CliftonJani Hakanpaa60122
2Ivan Barbashev40122David WarsofskyDylan McIlrath40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andreas JohnssonIvan Barbashev60122
2Anton LundellNico Sturm40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CliftonJani Hakanpaa60122
2David WarsofskyDylan McIlrath40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan BarbashevAnton LundellAndreas JohnssonConnor CliftonJani Hakanpaa
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan BarbashevAnton LundellAndreas JohnssonConnor CliftonJani Hakanpaa
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Philipp Kurashev, Stefan Matteau, Anders BjorkPhilipp Kurashev, Stefan MatteauAnders Bjork
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lagesson, Ville Heinola, David WarsofskyWilliam LagessonVille Heinola, David Warsofsky
Tirs de pénalité
Andreas Johnsson, Ivan Barbashev, Anton Lundell, Nico Sturm, Philipp Kurashev
Gardien
#1 : Marcus Hogberg, #2 : Chris Driedger
Lignes d’attaque personnalisées en prolongation
Andreas Johnsson, Ivan Barbashev, Anton Lundell, Nico Sturm, Philipp Kurashev, Dakota Joshua, Dakota Joshua, Samuel Blais, Stefan Matteau, Anders Bjork, Joey Anderson
Lignes de défense personnalisées en prolongation
Connor Clifton, Jani Hakanpaa, David Warsofsky, Dylan McIlrath, William Lagesson


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
1Avalanche31200000710-31010000014-32110000066020.33371219005910010115888319797797284294496100.00%7185.71%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
2Blackhawks31200000810-21010000024-22110000066020.333815231059100101159083197977972903242756116.67%6266.67%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
3Blues3110000110912010000146-21100000063330.50010182800591001011510283197977972893410712150.00%50100.00%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
4Canadiens512001011215-33010010169-32110000066040.400122032005910010115150831979779721595412112519421.05%28582.14%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
5Canucks321000008712110000056-11100000031240.667814220059100101159883197977972814325618112.50%50100.00%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
6Capitals311000011213-1211000009901000000134-130.5001218300059100101159483197977972101348570800.00%15286.67%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
7Devils321000001569110000008172110000075240.6671528430059100101151018319797797210843605911327.27%10280.00%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
8Ducks3100020089-11000010023-12100010066040.66781422005910010115928319797797210420285812216.67%40100.00%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
9Flames32000010181172100001012751100000064261.000183048005910010115102831979779721034122773133.33%60100.00%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
10Flyers311001001014-420100100510-51100000054130.50010162600591001011596831979779721053522828112.50%6266.67%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
11Islanders31100100911-21010000024-22100010077030.500918271059100101159183197977972101293651300.00%13469.23%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
12Kings30300000510-52020000037-41010000023-100.0005712005910010115858319797797292231579300.00%50100.00%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
13Maple Leafs522000101917232000010135820200000612-660.60019315001591001011516583197977972153599114721838.10%23482.61%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
14Oilers413000001219-71010000048-431200000811-320.250122133005910010115146831979779721344786917228.57%8187.50%21012205849.17%1014209248.47%599123848.38%1776104517957391419700
15Penguins4210100011101210010007432110000046-260.75011172800591001011512983197977972138534011111436.36%15286.67%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
16Predators301000207702010001045-11000001032140.667771400591001011510183197977972994316787114.29%3166.67%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
17Rangers321000001082211000006601100000042240.66710172700591001011587831979779727320747414214.29%70100.00%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
18Red Wings522010001919021100000761311010001213-160.600193352005910010115150831979779721734510612623730.43%23482.61%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
19Sabres54100000151323300000011652110000047-380.800152540005910010115153831979779721525712115318422.22%23195.65%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
20Senateurs513010001517-231200000111012010100047-340.400152641005910010115149831979779721555216515128725.00%30680.00%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
21Sharks31100010121021010000014-321000010116540.66712193100591001011510183197977972913724677114.29%7357.14%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
22Stars41100101171701000010067-1311000011110140.500172946005910010115138831979779721393834845240.00%70100.00%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
23Wild310001019901000000123-12100010076140.6679182700591001011510683197977972812820763133.33%10190.00%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
Total82313103755268271-341131701433131134-3411814023221371370900.5492684537212159100101152614831979779722605896128720622285323.25%2664184.59%21012205849.17%1014209248.47%599123848.38%1776104517957391419700
_Since Last GM Reset82313103755268271-341131701433131134-3411814023221371370900.5492684537212159100101152614831979779722605896128720622285323.25%2664184.59%21012205849.17%1014209248.47%599123848.38%1776104517957391419700
_Vs Conference44191603312147143424118012118570152088021016273-11510.580147249396115910010115136583197977972141848192111491644024.39%1933283.42%01012205849.17%1014209248.47%599123848.38%1776104517957391419700
_Vs Division251010021118081-11474001114836121136020003245-13280.56080135215015910010115767831979779727922676047021093027.52%1272084.25%01012205849.17%1014209248.47%599123848.38%1776104517957391419700

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290L3268453721261426058961287206221
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8231313755268271
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113171433131134
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118142322137137
Derniers 10 matchs
WLOTWOTL SOWSOL
170101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2285323.25%2664184.59%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
831979779725910010115
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
1012205849.17%1014209248.47%599123848.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1776104517957391419700


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
213Senateurs2Bruins1BLR5Sommaire du match
419Bruins4Red Wings3AWXR5Sommaire du match
634Sabres2Bruins3BWSommaire du match
847Maple Leafs0Bruins4BWR5Sommaire du match
955Bruins3Ducks2AWSommaire du match
1161Bruins0Oilers5ALSommaire du match
1685Canadiens4Bruins3BLXXR5Sommaire du match
1893Bruins2Devils4ALSommaire du match
20104Maple Leafs1Bruins2BWXXR5Sommaire du match
22113Bruins2Stars4ALSommaire du match
24124Bruins4Avalanche2AWSommaire du match
25133Bruins4Wild2AWSommaire du match
27143Penguins2Bruins3BWXR2Sommaire du match
30157Capitals3Bruins5BWSommaire du match
32169Bruins5Sharks4AWXXSommaire du match
33179Sabres3Bruins4BWR5Sommaire du match
37196Bruins4Red Wings8ALR5Sommaire du match
39206Capitals6Bruins4BLSommaire du match
41217Bruins2Kings3ALSommaire du match
44228Red Wings5Bruins3BLR5Sommaire du match
46241Bruins4Rangers2AWSommaire du match
49254Predators2Bruins3BWXXSommaire du match
51271Bruins1Blackhawks3ALSommaire du match
53279Islanders4Bruins2BLSommaire du match
55290Bruins4Red Wings2AWR5Sommaire du match
57301Ducks3Bruins2BLXSommaire du match
59316Bruins5Blackhawks3AWSommaire du match
61326Devils1Bruins8BWSommaire du match
63334Bruins3Islanders4ALXSommaire du match
66346Bruins5Stars1AWSommaire du match
67357Penguins2Bruins4BWR2Sommaire du match
70372Bruins6Flames4AWSommaire du match
72380Red Wings1Bruins4BWR5Sommaire du match
74393Bruins1Penguins4ALSommaire du match
77403Stars7Bruins6BLXSommaire du match
81422Bruins3Penguins2AWR2Sommaire du match
82426Senateurs5Bruins3BLSommaire du match
86444Senateurs3Bruins7BWR5Sommaire du match
89459Bruins3Capitals4ALXXR2Sommaire du match
91470Avalanche4Bruins1BLSommaire du match
93479Bruins5Devils1AWSommaire du match
95488Bruins3Canucks1AWSommaire du match
97499Flames2Bruins6BWSommaire du match
99509Bruins5Oilers2AWSommaire du match
101520Bruins2Avalanche4ALSommaire du match
102527Blackhawks4Bruins2BLSommaire du match
105545Sharks4Bruins1BLSommaire du match
110565Bruins3Oilers4ALSommaire du match
111570Maple Leafs4Bruins7BWR5Sommaire du match
115589Wild3Bruins2BLXXSommaire du match
117597Bruins3Wild4ALXSommaire du match
120613Sabres1Bruins4BWR5Sommaire du match
122625Bruins5Flyers4AWSommaire du match
124636Bruins3Ducks4ALXSommaire du match
125643Flames5Bruins6BWXXSommaire du match
128659Bruins2Canadiens3ALR5Sommaire du match
129667Predators3Bruins1BLSommaire du match
134685Bruins4Islanders3AWSommaire du match
135691Blues3Bruins2BLSommaire du match
138709Canadiens3Bruins2BLR5Sommaire du match
140718Bruins3Predators2AWXXSommaire du match
142731Canucks1Bruins2BWSommaire du match
145744Bruins1Sabres5ALR5Sommaire du match
147757Rangers3Bruins5BWSommaire du match
149768Bruins6Sharks2AWSommaire du match
151773Bruins4Canadiens3AWR5Sommaire du match
152784Flyers5Bruins1BLSommaire du match
155803Bruins4Stars5ALXXSommaire du match
157810Kings3Bruins1BLSommaire du match
160828Flyers5Bruins4BLXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162840Bruins3Sabres2AWR5Sommaire du match
163846Bruins6Blues3AWSommaire du match
165858Rangers3Bruins1BLSommaire du match
168875Bruins1Senateurs5ALR5Sommaire du match
169881Oilers8Bruins4BLSommaire du match
171892Bruins3Maple Leafs5ALR5Sommaire du match
173902Bruins3Senateurs2AWXSommaire du match
174910Canadiens2Bruins1BLXR5Sommaire du match
179931Blues3Bruins2BLXXSommaire du match
181945Bruins3Maple Leafs7ALR5Sommaire du match
184958Kings4Bruins2BLSommaire du match
192984Canucks5Bruins3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance58,66339,913
Assistance PCT71.54%97.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2404 - 80.14% 119,776$4,910,836$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
7,922,977$ 2,894,875$ 1,296,375$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,922,977$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 40,906$ 0$




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