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Bruins
GP: 82 | W: 45 | L: 28 | OTL: 9 | P: 99
GF: 261 | GA: 239 | PP%: 18.73% | PK%: 80.97%
DG: Libre | Morale : 66 | Moyenne d’équipe : 68
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Centre de jeu
Capitals
45-26-11, 101pts
3
FINAL
5 Bruins
45-28-9, 99pts
Team Stats
W2StreakL1
23-12-6Home Record24-12-5
22-14-5Away Record21-16-4
4-5-1Last 10 Games5-4-1
2.93Buts par match 3.18
2.83Buts contre par match 2.91
14.38%Pourcentage en avantage numérique18.73%
86.14%Pourcentage en désavantage numérique80.97%
Capitals
45-26-11, 101pts
2
FINAL
1 Bruins
45-28-9, 99pts
Team Stats
W2StreakL1
23-12-6Home Record24-12-5
22-14-5Away Record21-16-4
4-5-1Last 10 Games5-4-1
2.93Buts par match 3.18
2.83Buts contre par match 2.91
14.38%Pourcentage en avantage numérique18.73%
86.14%Pourcentage en désavantage numérique80.97%
Meneurs d'équipe
Buts
Andreas Johnsson
34
Passes
Christian Djoos
49
Points
Andreas Johnsson
78
Plus/Moins
William Lagesson
24
Victoires
Chris Driedger
40
Pourcentage d’arrêts
Chris Driedger
0.912

Statistiques d’équipe
Buts pour
261
3.18 GFG
Tirs pour
2547
31.06 Avg
Pourcentage en avantage numérique
18.7%
50 GF
Début de zone offensive
38.0%
Buts contre
239
2.91 GAA
Tirs contre
2549
31.09 Avg
Pourcentage en désavantage numérique
81.0%%
55 GA
Début de la zone défensive
39.0%
Informations de l'équipe

Directeur généralLibre
EntraîneurBruce Cassidy
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,206
Billets de saison1,800


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 60
Espoirs39


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)X100.0076429176826675833890877275777363807502832,000,000$
2Ivan Barbashev (R)X100.007644947282658879797676806877747179730271800,000$
3Jack Roslovic (R)X100.007642907581748869777974687271777479710261575,000$
4Philipp Kurashev (R)X100.007542927284648575657472687467506579690232842,500$
5Anders Bjork (R)X100.007743907083668369607470644574626679680262700,000$
6Samuel Blais (R)X100.007847896982738166596567656774766980670263600,000$
7Martin Frk (R)X100.007275767083817573557069616959606680670291575,000$
8Nico Sturm (R)X100.007544897283578470587569692551527175670282725,000$
9Stefan Matteau (R)X100.007845857083577373677269696156567173660292575,000$
10Joey Anderson (R)X100.007169846882807364586563706768716347650243575,000$
11Karson Kuhlman (R)X100.007344996984575062447268672551706079640273575,000$
12Dakota Joshua (R)X100.007745836084525262787268576072676018620262750,000$
13Christian Djoos (R)X100.0056328575697285993093956752786140687402821,250,000$
14Jani Hakanpaa (R)X100.0075488267868185682572707925837354807203131,500,000$
15Connor Clifton (R)X100.0075457666837978632573697852757061497002831,000,000$
16Dylan McIlrath (R)X100.009071625886717273307355765580794580700313900,000$
17David Warsofsky (R)X100.005751676968678363486348845485903968690321575,000$
18William Lagesson (R)X100.007243866482647864257269702547705780660271741,666$
Rayé
1Lias Andersson (R)X92.827441847084628168726766726556696572660242575,000$
2Grigori Denisenko (R)X100.007229987171747768656761637464678123640222925,000$
3Taylor Leier (R)X100.003720997169586864766458775274614919620292575,000$
4Lean Bergmann (R)X100.007639876576627263646260666268665119620241836,667$
5Oskar Steen (R)X100.007565856883646656737269605544446019620253800,000$
6Yegor Sokolov (R)X100.008889876089666762503939716444446720560223818,333$
7Kevin Gravel (R)X100.006132836378676875307470755470644022660313700,000$
8Ville Heinola (R)X100.007364836780585863257369675065686018640221925,000$
9Andy Welinski (R)X100.006232796476616372306763715374635319640301600,000$
10Jacob Moverare (R)X100.008274996274616354253737663844445619580243762,500$
MOYENNE D’ÉQUIPE99.71724886688066746951706670556665605466
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)100.008394878886939493938382788252798702821,850,000$
2Marcus Hogberg (R)100.007882859482818382817877778153778002831,000,000$
Rayé
1Jared Coreau100.00717180837881777676705179732620750311575,000$
MOYENNE D’ÉQUIPE100.0077828488828585848377707879445981
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy42858647948363CAN5711,000,000$


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
1Andreas JohnssonBruins (BOS)RW82344478420101681643039018811.22%42172821.08713204323421372576433.46%5475936110.9025110658
2Christian DjoosBruins (BOS)D692049691936066145241105888.30%70160223.2213619512190228202330.00%05147100.8600000861
3Jack RoslovicBruins (BOS)C8218486612010171172148449412.16%39159619.471212222236000111342149.44%18892219100.8314110335
4Philipp KurashevBruins (BOS)LW8028285611951521202417515111.62%30147718.4766122617600041113152.33%864527000.7601100344
5Anders BjorkBruins (BOS)RW82213051-22951571071895412811.11%35141517.264101420182000035053.68%954224010.7200010432
6Ivan BarbashevBruins (BOS)LW81281947218101241302176515112.90%45170421.04123153522701152475252.05%1714035000.5515101466
7Nico SturmBruins (BOS)C75102939-423511114313645827.35%31122016.28371010148000132038.97%12601821000.6400100221
8Stefan MatteauBruins (BOS)LW802018384959567144367813.89%1480910.12000261012383148.84%432210000.9400001244
9Samuel BlaisBruins (BOS)LW821918372317510366137397213.87%2395011.600000131232755244.44%543012000.7800001212
10Lias AnderssonBruins (BOS)C811618349180121122110345514.55%31107913.321344360002402146.04%7951819000.6300000141
11Martin FrkBruins (BOS)RW80141529576201267515235879.21%2295711.96000214000002144.44%453111000.6100004102
12Karson KuhlmanBruins (BOS)C821116271600545176294514.47%186427.8300000000031033.96%268159000.8400000121
13David WarsofskyBruins (BOS)D811232409315771696218291.61%95146118.04000185011081000.00%0942000.3300021001
14Jani HakanpaaBruins (BOS)D8222123225601731678837482.27%115197924.14189112640002254000.00%02867000.2300000021
15William LagessonBruins (BOS)D686111724260768843172213.95%60110216.2200006101182100.00%0729000.3100000102
16Dylan McIlrathBruins (BOS)D8211617-9198402001426825301.47%96173321.1311281720110153000.00%02349000.2000323001
17Joey AndersonBruins (BOS)RW443912114032192713911.11%113197.2600002000000020.00%549000.7500000000
18Connor CliftonBruins (BOS)D502911-6701085885323203.77%49103420.69112793000199200.00%01626000.2100100000
19Grigori DenisenkoBruins (BOS)RW4426880030244916294.08%43467.8700004000011011.11%996000.4600000001
20Kevin GravelBruins (BOS)D44044416044543719120.00%4871416.25011115000131000.00%0930000.1100000001
21Andy WelinskiBruins (BOS)D15112560161917635.88%1625216.8300000000028000.00%009000.1600000000
22Lean BergmannBruins (BOS)C81120005330133.33%0364.5900000000000028.57%700001.0900000000
23Ville HeinolaBruins (BOS)D2011020222000.00%03115.930000000002000.00%000000.6300000000
24Dakota JoshuaBruins (BOS)C61012000132533.33%1223.6900000000000060.00%500000.9000000000
25Taylor LeierBruins (BOS)LW7000000051020.00%2415.870000000007000.00%110000.00%00000000
Statistiques d’équipe totales ou en moyenne1489259434693139756140218821432547827142910.17%8972426016.29508013024321415813471862431643.98%5280499537320.574159711384244
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)72402380.9122.664194411862118898300.538137111740
2Marcus HogbergBruins (BOS)155510.8843.907700050431199100.00%01170000
Statistiques d’équipe totales ou en moyenne87452890.9072.854964412362549109740138281740


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
Anders BjorkBruins (BOS)RW261996-08-05 11:08:17Yes190 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,518$0$0$No700,000$
Andreas JohnssonBruins (BOS)RW281994-11-21 05:30:22Yes181 Lbs5 ft10NoNoNo3Pro & Farm2,000,000$10,050$0$0$No2,000,000$2,000,000$
Andy WelinskiBruins (BOS)D301993-04-27 05:14:06Yes201 Lbs6 ft1NoNoNo1Pro & Farm600,000$3,015$0$0$No
Chris DriedgerBruins (BOS)G281994-05-18 17:11:14Yes205 Lbs6 ft3NoNoNo2Pro & Farm1,850,000$9,296$0$0$No1,850,000$
Christian DjoosBruins (BOS)D281994-08-06 04:05:43Yes169 Lbs6 ft0NoNoNo2Pro & Farm1,250,000$6,281$0$0$No1,250,000$
Connor CliftonBruins (BOS)D281995-04-28 07:55:45Yes175 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$5,025$0$0$No1,000,000$1,000,000$
Dakota JoshuaBruins (BOS)C261996-05-15 14:11:31Yes199 Lbs6 ft2NoNoNo2Pro & Farm750,000$3,769$0$0$No750,000$
David WarsofskyBruins (BOS)D321990-05-30 17:11:13Yes177 Lbs5 ft9NoNoNo1Pro & Farm575,000$2,889$0$0$No
Dylan McIlrathBruins (BOS)D311992-04-20 05:11:13Yes236 Lbs6 ft5NoNoNo3Pro & Farm900,000$4,523$0$0$No900,000$900,000$
Grigori DenisenkoBruins (BOS)RW222000-06-24 14:14:29Yes181 Lbs5 ft11NoNoNo2Pro & Farm925,000$4,648$0$0$No925,000$
Ivan BarbashevBruins (BOS)LW271995-12-14 14:06:19Yes187 Lbs6 ft0NoNoNo1Pro & Farm800,000$4,020$0$0$No
Jack RoslovicBruins (BOS)C261997-01-29 09:38:55Yes187 Lbs6 ft1NoNoNo1Pro & Farm575,000$2,889$0$0$No
Jacob MoverareBruins (BOS)D241998-08-31 04:14:19Yes209 Lbs6 ft3NoNoNo3Pro & Farm762,500$3,832$0$0$No762,500$762,500$
Jani HakanpaaBruins (BOS)D311992-03-31 06:15:23Yes218 Lbs6 ft5NoNoNo3Pro & Farm1,500,000$7,538$0$0$No1,500,000$1,500,000$
Jared CoreauBruins (BOS)G311991-11-05 05:47:36No220 Lbs6 ft6NoNoNo1Pro & Farm575,000$2,889$0$0$No
Joey AndersonBruins (BOS)RW241998-06-19 05:32:49Yes190 Lbs5 ft11NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Karson KuhlmanBruins (BOS)C271995-09-26 08:48:54Yes185 Lbs5 ft11NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Kevin GravelBruins (BOS)D311992-03-06 07:31:12Yes211 Lbs6 ft4NoNoNo3Pro & Farm700,000$3,518$0$0$No700,000$700,000$
Lean BergmannBruins (BOS)C241998-10-04 11:33:12Yes205 Lbs6 ft2NoNoNo1Pro & Farm836,667$4,204$0$0$No
Lias Andersson (sur la masse salariale)Bruins (BOS)C241998-10-13 05:12:22Yes190 Lbs6 ft1NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Marcus HogbergBruins (BOS)G281994-11-25 05:28:10Yes209 Lbs6 ft5NoNoNo3Pro & Farm1,000,000$5,025$0$0$No1,000,000$1,000,000$
Martin FrkBruins (BOS)RW291993-10-05 08:21:53Yes205 Lbs6 ft1NoNoNo1Pro & Farm575,000$2,889$0$0$No
Nico SturmBruins (BOS)C281995-05-03 04:37:50Yes209 Lbs6 ft3NoNoNo2Pro & Farm725,000$3,643$0$0$No725,000$
Oskar SteenBruins (BOS)C251998-03-09 05:57:53Yes187 Lbs5 ft9NoNoNo3Pro & Farm800,000$4,020$0$0$No800,000$800,000$
Philipp KurashevBruins (BOS)LW231999-10-12 14:07:42Yes190 Lbs6 ft0NoNoNo2Pro & Farm842,500$4,234$0$0$No842,500$
Samuel BlaisBruins (BOS)LW261996-06-17 05:30:13Yes205 Lbs6 ft2NoNoNo3Pro & Farm600,000$3,015$0$0$No600,000$600,000$
Stefan MatteauBruins (BOS)LW291994-02-23 17:11:13Yes220 Lbs6 ft2NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Taylor LeierBruins (BOS)LW291994-02-15 17:11:13Yes176 Lbs5 ft10NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Ville HeinolaBruins (BOS)D222001-03-02 06:18:33Yes178 Lbs5 ft11NoNoNo1Pro & Farm925,000$4,648$0$0$No
William LagessonBruins (BOS)D271996-02-22 06:20:50Yes207 Lbs6 ft2NoNoNo1Pro & Farm741,666$3,727$0$0$No
Yegor SokolovBruins (BOS)RW222000-06-07 04:07:46Yes214 Lbs6 ft4NoNoNo3Pro & Farm818,333$4,112$0$0$No818,333$818,333$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3126.97197 Lbs6 ft12.10845,215$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan BarbashevJack RoslovicAndreas Johnsson35122
2Philipp KurashevNico SturmAnders Bjork35122
3Samuel BlaisKarson KuhlmanMartin Frk25122
4Stefan MatteauDakota JoshuaJoey Anderson5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian DjoosJani Hakanpaa35122
2Dylan McIlrathConnor Clifton35122
3David WarsofskyWilliam Lagesson30122
4Christian DjoosJani Hakanpaa0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan BarbashevJack RoslovicAndreas Johnsson60122
2Philipp KurashevNico SturmAnders Bjork40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian DjoosJani Hakanpaa60122
2Dylan McIlrathConnor Clifton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andreas JohnssonIvan Barbashev60122
2Jack RoslovicPhilipp Kurashev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian DjoosJani Hakanpaa60122
2Dylan McIlrathConnor Clifton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andreas Johnsson60122Christian DjoosJani Hakanpaa60122
2Ivan Barbashev40122Dylan McIlrathConnor Clifton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andreas JohnssonIvan Barbashev60122
2Jack RoslovicPhilipp Kurashev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian DjoosJani Hakanpaa60122
2Dylan McIlrathConnor Clifton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan BarbashevJack RoslovicAndreas JohnssonChristian DjoosJani Hakanpaa
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan BarbashevJack RoslovicAndreas JohnssonChristian DjoosJani Hakanpaa
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Blais, Martin Frk, Stefan MatteauSamuel Blais, Martin FrkStefan Matteau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Warsofsky, William Lagesson, Dylan McIlrathDavid WarsofskyWilliam Lagesson, Dylan McIlrath
Tirs de pénalité
Andreas Johnsson, Ivan Barbashev, Jack Roslovic, Philipp Kurashev, Anders Bjork
Gardien
#1 : Marcus Hogberg, #2 : Chris Driedger
Lignes d’attaque personnalisées en prolongation
Andreas Johnsson, Ivan Barbashev, Jack Roslovic, Philipp Kurashev, Anders Bjork, Samuel Blais, Samuel Blais, Martin Frk, Nico Sturm, Stefan Matteau, Joey Anderson
Lignes de défense personnalisées en prolongation
Christian Djoos, Jani Hakanpaa, Dylan McIlrath, Connor Clifton, David Warsofsky


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
1Avalanche2020000049-51010000024-21010000025-300.00046100052108958607589048643679301343200.00%4250.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
2Blackhawks20100001510-51010000026-41000000134-110.250510150052108958617589048643686241369000.00%4175.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
3Blues21100000541110000004131010000013-220.5005813005210895863758904864366825847300.00%4175.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
4Canadiens632001001818031100100111103210000077070.583182846005210895817275890486436189696018222731.82%30970.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
5Canucks21100000440110000003211010000012-120.50047110052108958727589048643656248503133.33%4175.00%1889199244.63%856204141.94%577120547.88%171095918157671446713
6Capitals421010001275211000006512100100062460.750122032005210895812175890486436115552810210110.00%140100.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
7Devils54000010231013210000107523300000016511101.000233760005210895815775890486436151564212721314.29%16381.25%0889199244.63%856204141.94%577120547.88%171095918157671446713
8Ducks3020010058-32020000035-21000010023-110.16758130052108958106758904864361012612724125.00%60100.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
9Flames20101000550100010004311010000012-120.5005914005210895865758904864366224865300.00%4175.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
10Flyers412010001518-320101000810-22110000078-140.500152944005210895813075890486436129342811512541.67%14471.43%0889199244.63%856204141.94%577120547.88%171095918157671446713
11Islanders411011001315-2210001006602010100079-250.625132033005210895812275890486436133422210319210.53%11190.91%3889199244.63%856204141.94%577120547.88%171095918157671446713
12Kings21000100853110000006241000010023-130.750816240052108958627589048643659212741500.00%6183.33%0889199244.63%856204141.94%577120547.88%171095918157671446713
13Maple Leafs640001012620632000100121023200000114104100.833264268005210895818475890486436191478617531619.35%34973.53%1889199244.63%856204141.94%577120547.88%171095918157671446713
14Oilers22000000743110000005321100000021141.0007142100521089585975890486436571915585240.00%5180.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
15Penguins440000001358220000009452200000041381.000132235015210895814075890486436120473110912216.67%12191.67%0889199244.63%856204141.94%577120547.88%171095918157671446713
16Predators330000001257110000005232200000073461.0001218300052108958109758904864369033474600.00%20100.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
17Rangers531000012015532000001109121100000106470.700203050005210895817375890486436149634712016637.50%21671.43%0889199244.63%856204141.94%577120547.88%171095918157671446713
18Red Wings642000001922-33210000078-1321000001214-280.667193352005210895817875890486436167688015923521.74%25580.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
19Sabres6320010020164320001001055312000001011-170.5832032520052108958180758904864361696212516628414.29%30486.67%0889199244.63%856204141.94%577120547.88%171095918157671446713
20Senateurs614000101720-3312000001011-13020001079-240.333172946005210895816375890486436186527516328310.71%29486.21%0889199244.63%856204141.94%577120547.88%171095918157671446713
21Sharks2020000027-51010000014-31010000013-200.0002460052108958527589048643663248563133.33%40100.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
22Stars2020000014-31010000002-21010000012-100.00012300521089585875890486436563110449111.11%5180.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
23Wild2110000078-1110000005231010000026-420.500710170052108958607589048643673211048200.00%50100.00%0889199244.63%856204141.94%577120547.88%171095918157671446713
Total82392804623261239224121120241113612016411816022121251196990.6042614346950152108958254775890486436254989776021882675018.73%2895580.97%5889199244.63%856204141.94%577120547.88%171095918157671446713
_Since Last GM Reset82392804623261239224121120241113612016411816022121251196990.6042614346950152108958254775890486436254989776021882675018.73%2895580.97%5889199244.63%856204141.94%577120547.88%171095918157671446713
_Vs Conference5630150342219616630281560141196841228159020111008218760.6791963225180152108958172075890486436169959562415212224419.82%2364680.51%4889199244.63%856204141.94%577120547.88%171095918157671446713
_Vs Division30151000311100964158400300504551576000115051-1360.6001001642640052108958877758904864369022984268451322518.94%1483179.05%1889199244.63%856204141.94%577120547.88%171095918157671446713

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8299L126143469525472549897760218801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8239284623261239
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121122411136120
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118162212125119
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
2675018.73%2895580.97%5
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
7589048643652108958
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
889199244.63%856204141.94%577120547.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171095918157671446713


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
1 - 2022-10-182Red Wings5Bruins1BLR5Sommaire du match
3 - 2022-10-2015Bruins6Devils3AWSommaire du match
7 - 2022-10-2434Canadiens3Bruins7BWR5Sommaire du match
9 - 2022-10-2642Bruins4Sabres5ALSommaire du match
12 - 2022-10-2957Senateurs4Bruins3BLR5Sommaire du match
16 - 2022-11-0276Sabres2Bruins6BWR5Sommaire du match
19 - 2022-11-0589Bruins5Red Wings4AWR5Sommaire du match
21 - 2022-11-07101Maple Leafs5Bruins7BWSommaire du match
25 - 2022-11-11117Bruins3Canadiens2AWR5Sommaire du match
26 - 2022-11-12120Bruins3Senateurs5ALSommaire du match
28 - 2022-11-14131Senateurs4Bruins2BLR5Sommaire du match
31 - 2022-11-17145Bruins4Flyers2AWSommaire du match
32 - 2022-11-18154Islanders4Bruins3BLXSommaire du match
36 - 2022-11-22171Rangers3Bruins4BWSommaire du match
38 - 2022-11-24181Bruins2Capitals1AWXR2Sommaire du match
40 - 2022-11-26189Bruins3Maple Leafs2AWSommaire du match
43 - 2022-11-29201Islanders2Bruins3BWSommaire du match
45 - 2022-12-01212Bruins4Islanders7ALSommaire du match
47 - 2022-12-03220Bruins2Kings3ALXSommaire du match
49 - 2022-12-05228Avalanche4Bruins2BLSommaire du match
53 - 2022-12-09245Bruins5Devils1AWSommaire du match
55 - 2022-12-11252Bruins6Maple Leafs7ALXXR5Sommaire du match
56 - 2022-12-12256Bruins1Penguins0AWR2Sommaire du match
58 - 2022-12-14263Penguins2Bruins4BWSommaire du match
62 - 2022-12-18281Canucks2Bruins3BWSommaire du match
66 - 2022-12-22302Canadiens4Bruins1BLR5Sommaire du match
69 - 2022-12-25316Bruins1Blues3ALSommaire du match
70 - 2022-12-26325Red Wings1Bruins2BWR5Sommaire du match
73 - 2022-12-29342Bruins3Flyers6ALSommaire du match
74 - 2022-12-30350Penguins2Bruins5BWR2Sommaire du match
76 - 2023-01-01363Bruins1Canucks2ALSommaire du match
78 - 2023-01-03373Red Wings2Bruins4BWR5Sommaire du match
81 - 2023-01-06385Bruins1Sharks3ALSommaire du match
83 - 2023-01-08396Oilers3Bruins5BWSommaire du match
85 - 2023-01-10407Bruins2Wild6ALSommaire du match
87 - 2023-01-12420Predators2Bruins5BWSommaire du match
89 - 2023-01-14430Bruins1Stars2ALSommaire du match
91 - 2023-01-16439Bruins2Ducks3ALXSommaire du match
93 - 2023-01-18450Flyers6Bruins3BLSommaire du match
97 - 2023-01-22468Sharks4Bruins1BLSommaire du match
100 - 2023-01-25489Bruins6Rangers1AWSommaire du match
101 - 2023-01-26494Flames3Bruins4BWXSommaire du match
105 - 2023-01-30513Sabres2Bruins1BLXR5Sommaire du match
108 - 2023-02-02528Bruins3Islanders2AWXSommaire du match
110 - 2023-02-04538Stars2Bruins0BLSommaire du match
112 - 2023-02-06556Rangers2Bruins3BWSommaire du match
114 - 2023-02-08568Bruins1Red Wings8ALR5Sommaire du match
115 - 2023-02-09574Bruins2Oilers1AWSommaire du match
118 - 2023-02-12584Bruins5Devils1AWSommaire du match
119 - 2023-02-13591Senateurs3Bruins5BWR5Sommaire du match
122 - 2023-02-16608Sabres1Bruins3BWR5Sommaire du match
124 - 2023-02-18618Bruins6Red Wings2AWR5Sommaire du match
125 - 2023-02-19630Devils4Bruins5BWSommaire du match
128 - 2023-02-22644Bruins3Blackhawks4ALXXSommaire du match
130 - 2023-02-24653Bruins1Flames2ALSommaire du match
132 - 2023-02-26664Kings2Bruins6BWSommaire du match
134 - 2023-02-28676Bruins4Rangers5ALSommaire du match
136 - 2023-03-02688Flyers4Bruins5BWXSommaire du match
137 - 2023-03-03699Bruins2Avalanche5ALSommaire du match
140 - 2023-03-06711Rangers4Bruins3BLXXSommaire du match
143 - 2023-03-09726Bruins4Capitals1AWR2Sommaire du match
145 - 2023-03-11733Canadiens4Bruins3BLXR5Sommaire du match
147 - 2023-03-13741Bruins3Canadiens2AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2023-03-16755Devils1Bruins2BWXXSommaire du match
152 - 2023-03-18768Bruins2Senateurs1AWXXR5Sommaire du match
154 - 2023-03-20776Bruins4Predators1AWSommaire du match
156 - 2023-03-22786Wild2Bruins5BWSommaire du match
159 - 2023-03-25805Blues1Bruins4BWSommaire du match
161 - 2023-03-27813Bruins2Senateurs3ALR5Sommaire du match
163 - 2023-03-29826Bruins3Predators2AWSommaire du match
165 - 2023-03-31833Bruins2Sabres3ALR5Sommaire du match
166 - 2023-04-01839Blackhawks6Bruins2BLSommaire du match
169 - 2023-04-04850Bruins1Canadiens3ALR5Sommaire du match
170 - 2023-04-05861Bruins5Maple Leafs1AWSommaire du match
172 - 2023-04-07867Maple Leafs2Bruins3BWR5Sommaire du match
176 - 2023-04-11886Maple Leafs3Bruins2BLXSommaire du match
179 - 2023-04-14898Bruins4Sabres3AWR5Sommaire du match
181 - 2023-04-16909Ducks3Bruins2BLSommaire du match
185 - 2023-04-20927Bruins3Penguins1AWR2Sommaire du match
186 - 2023-04-21936Ducks2Bruins1BLSommaire du match
193 - 2023-04-28960Capitals3Bruins5BWR2Sommaire du match
196 - 2023-05-01978Capitals2Bruins1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance56,67833,759
Assistance PCT69.12%82.34%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2206 - 73.53% 111,770$4,582,550$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,514,915$ 2,562,667$ 1,340,834$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,878$ 2,519,960$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 17,903$ 17,903$




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