Bruins

GP: 82 | W: 42 | L: 31 | OTL: 9 | P: 93
GF: 245 | GA: 246 | PP%: 24.22% | PK%: 77.55%
DG: Libre | Morale : 56 | Moyenne d'Équipe : 66
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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 SP
1Sven BaertschiX100.005639877772838277638784726075737872740
2Jesper Fast (R)X100.007741847373819071607467896772714566720
3Christian Dvorak (R)X100.007346817472869776907471675671576871700
4Sergei Kalinin (R)X100.009974477074737472597366775965624467680
5Noel Acciari (R)X100.009247676871818564796467745778593573670
6Ivan Barbashev (R)X100.006841746872789367776567735767527569660
7Jack Roslovic (R)X100.006035766875749067716765666354518172650
8Stefan Matteau (R)X100.007652596179599757656964656278757371640
9Luke Kunin (R)X100.006341736873719068706664656553518472640
10Martin Frk (R)X100.006637856674738468506566545274546773630
11Taylor Leier (R)X100.005134907068726861716259695267545561620
12Samuel Blais (R)X100.007535706681636666606263576452514972610
13Nathan Beaulieu (R)X100.007053746680778583258467716680776665710
14Ben Hutton (R)X100.006441776782918266307064856165615368710
15Zach TrotmanX100.007946766480638170306757795971764470690
16Dylan McIlrath (R)X100.007850606288648774307056715568685377680
17Christian Djoos (R)X100.005935827367758574306971635268524722650
18Kevin Gravel (R)X100.006435806089736860306159725460544622630
Rayé
1Lias Andersson (R)X100.006341696675649166706059615452518720610
2Lucas Lessio (R)X100.009046676077485661566154676179985720610
3Joey Anderson (R)X100.006535756470726763646162656351506620600
4Brad Malone (R)X100.006435656884565867705858645764584620600
5Karson Kuhlman (R)X100.005135726969555569716060615060504320590
6Ben Thomson (R)X100.004635756578435149304446655163537020520
7Kevan MillerX70.627756756482818068306563806167641548690
8David Warsofsky (R)X100.004942766961738365486655835471775050670
9Andy Welinski (R)X100.006535756778636367306361665362516120620
10Connor Clifton (R)X100.005750666767585967305656585157505620580
MOYENNE D'ÉQUIPE98.93684373677570776753666369586661585165
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 SP
1Jeff Zatkoff (R)100.00778575757491919393798498882472830
2Thatcher Demko (R)100.00767282787785818080725072644272760
Rayé
1Chris Driedger (R)100.00747478777582828080727277697720750
2Marcus Hogberg (R)100.00776983917680828180767150646220750
MOYENNE D'ÉQUIPE100.0076758080768584848375697471514677
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy48867949867566CAN5411,000,000$


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
1Sven BaertschiBruins (BOS)RW8233671008331511621831310323210.54%45180722.0514375170284134103335143.14%7658632111.11514003684
2Christian DvorakBruins (BOS)C824055951452301562383089316212.99%32165820.2317274468289112111687454.73%19666024111.153103127610
3Jesper FastBruins (BOS)RW80373774617516017533110619011.18%37167220.9010122230212213103196741.03%1176135020.89314001528
4Noel AcciariBruins (BOS)C821443575715198209169461088.28%27136416.633182114222000031052.80%15172618000.8403001143
5Ivan BarbashevBruins (BOS)LW82223153883251681271884711811.70%30146817.9071017212200221685056.10%822523000.7201023323
6Sergei KalininBruins (BOS)LW8227255211247852881211855610414.59%33158219.3015102543280213101242042.11%1142826200.6616656232
7Nathan BeaulieuBruins (BOS)D76133750-31295514616917169677.60%111188024.75111021382840336292210.00%05451000.5323325133
8Martin FrkBruins (BOS)RW82111021-122558274149581037.38%2493511.41000372026212142.55%473111000.4500001023
9Zach TrotmanBruins (BOS)D8231720896401611588126413.70%100175121.3624672041232214100.00%02664000.2300341101
10Jack RoslovicBruins (BOS)C8210818-172008313917343995.78%29102312.48101326000060246.89%6591320000.3500000121
11Ben HuttonBruins (BOS)D6641317-674201121247634355.26%95161924.54347122780003270010.00%01560000.2100013011
12Stefan MatteauBruins (BOS)LW827815-139220186989119637.69%2297211.86000070001511155.71%70915000.3112013010
13Kevan MillerBruins (BOS)D813111415102301511418429273.57%110174921.60224112190000218000.00%02248000.1600132001
14Christian DjoosBruins (BOS)D4711314-2161034975521251.82%3972315.3900015000145000.00%0920000.3900110000
15Dylan McIlrathBruins (BOS)D8221113-5159451721216436223.13%75132616.18022352000074100.00%01439000.2000306101
16Luke KuninBruins (BOS)C824610-714059699737614.12%96327.72000090001361043.85%2442011000.3201000000
17Taylor LeierBruins (BOS)LW75527-20013546122358.20%65136.8400003000021054.55%1189000.2700000001
18Samuel BlaisBruins (BOS)RW82347-623587366025475.00%95797.0700029000001150.00%1298000.2401001101
19Kevin GravelBruins (BOS)D5022-120270240.00%28617.300000000006000.00%002000.4600000000
20David WarsofskyBruins (BOS)D53011-835528723014140.00%4879314.9700006000127000.00%0827000.0300100000
21Brad MaloneBruins (BOS)RW2000040300000.00%0115.880000000000000.00%000000.0000000000
22Lucas LessioBruins (BOS)LW7000-320541150.00%1456.4300000000000033.33%301000.0000000000
Stats d'équipe Total ou en Moyenne1476239401640-10129640024102451268788715628.89%8842419816.3985136221326262591322632284361950.60%5607524544440.531555212038293443
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
1Jeff ZatkoffBruins (BOS)67342470.9152.723970401802120938530.7074166161134
2Thatcher DemkoBruins (BOS)198720.9023.3010190056570254100.600101666220
Stats d'équipe Total ou en Moyenne86423190.9122.8449904023626901192630.6865182821354


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andy WelinskiBruins (BOS)D271993-04-27 05:14:06Yes201 Lbs6 ft1NoNoNo2Pro & Farm650,000$0$0$No650,000$
Ben HuttonBruins (BOS)D271993-04-20 19:55:29Yes206 Lbs6 ft2NoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$
Ben ThomsonBruins (BOS)LW271993-01-16 09:33:04Yes207 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Brad MaloneBruins (BOS)RW301989-05-20 11:11:13Yes217 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
Chris DriedgerBruins (BOS)G251994-05-18 17:11:14Yes190 Lbs6 ft3NoNoNo2Pro & Farm650,000$0$0$No650,000$
Christian DjoosBruins (BOS)D251994-08-06 04:05:43Yes169 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No650,000$
Christian DvorakBruins (BOS)C241996-02-02 09:35:13Yes189 Lbs6 ft0NoNoNo1Pro & Farm839,167$0$0$No
Connor CliftonBruins (BOS)D251995-04-28 07:55:45Yes175 Lbs5 ft11NoNoNo3Pro & Farm725,000$0$0$No725,000$725,000$
David WarsofskyBruins (BOS)D291990-05-30 17:11:13Yes177 Lbs5 ft9NoNoNo1Pro & Farm700,000$0$0$No
Dylan McIlrathBruins (BOS)D281992-04-20 05:11:13Yes236 Lbs6 ft5NoNoNo1Pro & Farm900,000$0$0$No
Ivan BarbashevBruins (BOS)LW241995-12-14 14:06:19Yes187 Lbs6 ft0NoNoNo1Pro & Farm741,667$0$0$No
Jack RoslovicBruins (BOS)C231997-01-29 09:38:55Yes187 Lbs6 ft1NoNoNo1Pro & Farm894,166$0$0$No
Jeff ZatkoffBruins (BOS)G321987-06-09 23:11:14Yes185 Lbs6 ft2NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$
Jesper FastBruins (BOS)RW281991-12-02 04:28:43Yes191 Lbs6 ft0NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
Joey AndersonBruins (BOS)RW211998-06-19 05:32:49Yes190 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Karson KuhlmanBruins (BOS)C241995-09-26 08:48:54Yes185 Lbs5 ft11NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Kevan Miller (Sur la Masse Salariale)Bruins (BOS)D321987-11-15 23:11:13No210 Lbs6 ft2NoNoNo2Pro & Farm1,350,000$0$0$No1,350,000$
Kevin GravelBruins (BOS)D281992-03-06 07:31:12Yes211 Lbs6 ft4NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Lias AnderssonBruins (BOS)C211998-10-13 05:12:22Yes190 Lbs6 ft1NoNoNo2Pro & Farm1,775,000$0$0$No1,775,000$
Lucas LessioBruins (BOS)LW271993-01-23 11:11:13Yes214 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
Luke KuninBruins (BOS)C221997-12-04 05:15:56Yes195 Lbs6 ft0NoNoNo2Pro & Farm1,425,000$0$0$No1,425,000$
Marcus HogbergBruins (BOS)G251994-11-25 05:28:10Yes209 Lbs6 ft5NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$
Martin FrkBruins (BOS)RW261993-10-05 08:21:53Yes205 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Nathan BeaulieuBruins (BOS)D271992-12-05 05:11:13Yes200 Lbs6 ft2NoNoNo1Pro & Farm1,250,000$0$0$No
Noel AcciariBruins (BOS)C281991-12-01 09:43:39Yes205 Lbs5 ft10NoNoNo1Pro & Farm725,000$0$0$No
Samuel BlaisBruins (BOS)RW231996-06-17 05:30:13Yes205 Lbs6 ft2NoNoNo3Pro & Farm700,833$0$0$No700,833$700,833$
Sergei KalininBruins (BOS)LW291991-03-17 23:11:13Yes191 Lbs6 ft3NoNoNo2Pro & Farm900,000$0$0$No900,000$
Stefan MatteauBruins (BOS)LW261994-02-23 17:11:13Yes220 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
Sven BaertschiBruins (BOS)RW271992-10-05 05:11:13No190 Lbs5 ft11NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Taylor LeierBruins (BOS)LW261994-02-15 17:11:13Yes176 Lbs5 ft10NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Thatcher DemkoBruins (BOS)G241995-12-08 05:09:18Yes192 Lbs6 ft4NoNoNo2Pro & Farm2,941,670$0$0$No2,941,670$
Zach TrotmanBruins (BOS)D291990-08-26 17:11:13No217 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3226.22198 Lbs6 ft11.94988,047$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sergei KalininChristian DvorakSven Baertschi35122
2Ivan BarbashevNoel AcciariJesper Fast35122
3Stefan MatteauJack RoslovicMartin Frk25122
4Taylor LeierLuke KuninSamuel Blais5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HuttonNathan Beaulieu35122
2Zach TrotmanDylan McIlrath35122
3Christian DjoosKevin Gravel30122
4Ben HuttonNathan Beaulieu0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sergei KalininChristian DvorakSven Baertschi60122
2Ivan BarbashevNoel AcciariJesper Fast40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HuttonNathan Beaulieu60122
2Zach TrotmanDylan McIlrath40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sven BaertschiJesper Fast60122
2Christian DvorakSergei Kalinin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HuttonNathan Beaulieu60122
2Zach TrotmanDylan McIlrath40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sven Baertschi60122Ben HuttonNathan Beaulieu60122
2Jesper Fast40122Zach TrotmanDylan McIlrath40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sven BaertschiJesper Fast60122
2Christian DvorakSergei Kalinin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HuttonNathan Beaulieu60122
2Zach TrotmanDylan McIlrath40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sergei KalininChristian DvorakSven BaertschiBen HuttonNathan Beaulieu
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sergei KalininChristian DvorakSven BaertschiBen HuttonNathan Beaulieu
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jack Roslovic, Stefan Matteau, Luke KuninJack Roslovic, Stefan MatteauLuke Kunin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Djoos, Kevin Gravel, Zach TrotmanChristian DjoosKevin Gravel, Zach Trotman
Tirs de Pénalité
Sven Baertschi, Jesper Fast, Christian Dvorak, Sergei Kalinin, Noel Acciari
Gardien
#1 : Thatcher Demko, #2 : Jeff Zatkoff


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
LigueDomicileVisiteur
# 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
1Avalanche21100000660110000003121010000035-220.5006121810639081197085091788982661910514375.00%5180.00%01148221851.76%1060213549.65%629118653.04%176699818007751430704
2Blackhawks312000005501010000012-12110000043120.33359140063908119105850917889829547488700.00%20100.00%01148221851.76%1060213549.65%629118653.04%176699818007751430704
3Blues21000001541110000003121000000123-130.7505101500639081196385091788982723310636116.67%50100.00%01148221851.76%1060213549.65%629118653.04%176699818007751430704
4Canadiens63100011191543110001010733200000198190.7501930490063908119177850917889821896013620130413.33%49589.80%21148221851.76%1060213549.65%629118653.04%176699818007751430704
5Canucks21000010642110000003211000001032141.000691500639081197085091788982672619555240.00%8187.50%11148221851.76%1060213549.65%629118653.04%176699818007751430704
6Capitals41100101912-32000010157-22110000045-140.5009152400639081191308509178898214355659416318.75%20195.00%11148221851.76%1060213549.65%629118653.04%176699818007751430704
7Devils403010001417-32010100077020200000710-320.25014233700639081191358509178898213251869719210.53%22959.09%11148221851.76%1060213549.65%629118653.04%176699818007751430704
8Ducks22000000844110000005321100000031241.0008142200639081197085091788982582215515240.00%50100.00%01148221851.76%1060213549.65%629118653.04%176699818007751430704
9Flames211000006601010000025-31100000041320.5006101600639081196285091788982692712622150.00%6266.67%01148221851.76%1060213549.65%629118653.04%176699818007751430704
10Flyers5220001014122321000008532010001067-160.600142337006390811918585091788982171503516925416.00%16475.00%01148221851.76%1060213549.65%629118653.04%176699818007751430704
11Islanders531000102114721000010844321000001310380.8002131520063908119160850917889821735546145241041.67%18572.22%01148221851.76%1060213549.65%629118653.04%176699818007751430704
12Kings2010000136-31010000013-21000000123-110.25035810639081197585091788982621813633133.33%4250.00%01148221851.76%1060213549.65%629118653.04%176699818007751430704
13Maple Leafs601011122327-4300010111413130100101914-570.5832338610063908119191850917889822236118219325520.00%411173.17%21148221851.76%1060213549.65%629118653.04%176699818007751430704
14Oilers30200001713-620100001611-51010000012-110.167712190063908119111850917889829933308513538.46%10550.00%01148221851.76%1060213549.65%629118653.04%176699818007751430704
15Penguins413000001016-62110000078-12020000038-520.250101525106390811912885091788982120355812914750.00%19478.95%01148221851.76%1060213549.65%629118653.04%176699818007751430704
16Predators2110000045-1110000002111010000024-220.500471100639081196585091788982602018453133.33%9188.89%01148221851.76%1060213549.65%629118653.04%176699818007751430704
17Rangers41201000141402100100012752020000027-540.500142034006390811912785091788982132366011421419.05%20765.00%11148221851.76%1060213549.65%629118653.04%176699818007751430704
18Red Wings632000101919031100010109132100000910-180.6671932510063908119182850917889821866817618639923.08%33778.79%11148221851.76%1060213549.65%629118653.04%176699818007751430704
19Sabres623010001517-231200000610-43110100097260.5001526410063908119204850917889821804313417237616.22%38684.21%01148221851.76%1060213549.65%629118653.04%176699818007751430704
20Senateurs63300000161603210000075231200000911-260.50016274300639081191888509178898220460134183411024.39%321068.75%01148221851.76%1060213549.65%629118653.04%176699818007751430704
21Sharks22000000954110000006421100000031241.0009132200639081196185091788982652616595360.00%8362.50%01148221851.76%1060213549.65%629118653.04%176699818007751430704
22Stars21001000743100010004311100000031241.0007111800639081195985091788982732222524125.00%60100.00%01148221851.76%1060213549.65%629118653.04%176699818007751430704
Total82313105267245246-1411712041431331201341141901124112126-14930.56724540164630639081192687850917889822693884130024103518524.22%3838677.55%91148221851.76%1060213549.65%629118653.04%176699818007751430704
24Wild21100000550110000003211010000023-120.500591400639081196985091788982541719533133.33%7271.43%01148221851.76%1060213549.65%629118653.04%176699818007751430704
_Since Last GM Reset82313105267245246-1411712041431331201341141901124112126-14930.56724540164630639081192687850917889822693884130024103518524.22%3838677.55%91148221851.76%1060213549.65%629118653.04%176699818007751430704
_Vs Conference56192204254174179-5281080314294821228914011128097-17620.55417428045410639081191807850917889821853574111216832916421.99%3086977.60%81148221851.76%1060213549.65%629118653.04%176699818007751430704
_Vs Division301110021339294-2155501031474431565011024550-5360.600921532450063908119942850917889829822927629351723419.77%1933979.79%51148221851.76%1060213549.65%629118653.04%176699818007751430704

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8293W2245401646268726938841300241030
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8231315267245246
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117124143133120
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4114191124112126
Derniers 10 Matchs
WLOTWOTL SOWSOL
440002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3518524.22%3838677.55%9
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
8509178898263908119
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
1148221851.76%1060213549.65%629118653.04%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
176699818007751430704


Derniers Match 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
2 - 2019-10-0711Bruins4Maple Leafs7LR5Sommaire du Match
4 - 2019-10-0919Bruins3Senateurs5LSommaire du Match
5 - 2019-10-1024Red Wings3Bruins4WXXR5Sommaire du Match
7 - 2019-10-1240Sabres2Bruins3WSommaire du Match
10 - 2019-10-1556Senateurs1Bruins3WR5Sommaire du Match
12 - 2019-10-1766Bruins3Canadiens4LXXR5Sommaire du Match
14 - 2019-10-1977Canadiens4Bruins3LSommaire du Match
15 - 2019-10-2081Bruins5Islanders4WSommaire du Match
18 - 2019-10-2393Bruins3Red Wings2WR5Sommaire du Match
21 - 2019-10-26112Maple Leafs7Bruins8WXSommaire du Match
23 - 2019-10-28126Capitals4Bruins3LXR2Sommaire du Match
24 - 2019-10-29129Bruins3Sabres2WXSommaire du Match
28 - 2019-11-02150Flyers1Bruins3WSommaire du Match
32 - 2019-11-06168Bruins1Rangers3LSommaire du Match
34 - 2019-11-08180Devils3Bruins2LSommaire du Match
36 - 2019-11-10193Oilers6Bruins2LSommaire du Match
38 - 2019-11-12203Bruins1Oilers2LSommaire du Match
40 - 2019-11-14214Bruins3Red Wings6LR5Sommaire du Match
42 - 2019-11-16226Devils4Bruins5WXSommaire du Match
44 - 2019-11-18239Bruins3Sharks1WSommaire du Match
46 - 2019-11-20248Canucks2Bruins3WSommaire du Match
48 - 2019-11-22256Bruins1Flyers3LSommaire du Match
51 - 2019-11-25272Sharks4Bruins6WSommaire du Match
53 - 2019-11-27280Bruins3Ducks1WSommaire du Match
56 - 2019-11-30298Blackhawks2Bruins1LSommaire du Match
58 - 2019-12-02309Bruins2Canadiens1WR5Sommaire du Match
61 - 2019-12-05322Senateurs3Bruins1LSommaire du Match
65 - 2019-12-09339Canadiens2Bruins3WXXR5Sommaire du Match
68 - 2019-12-12357Bruins6Islanders1WSommaire du Match
70 - 2019-12-14368Capitals3Bruins2LXXR2Sommaire du Match
73 - 2019-12-17384Bruins3Red Wings2WR5Sommaire du Match
74 - 2019-12-18392Senateurs1Bruins3WSommaire du Match
77 - 2019-12-21407Bruins3Devils4LSommaire du Match
78 - 2019-12-22415Wild2Bruins3WSommaire du Match
82 - 2019-12-26434Kings3Bruins1LSommaire du Match
84 - 2019-12-28446Bruins4Flames1WSommaire du Match
86 - 2019-12-30458Flyers3Bruins2LSommaire du Match
88 - 2020-01-01467Bruins3Avalanche5LSommaire du Match
90 - 2020-01-03477Bruins4Devils6LSommaire du Match
92 - 2020-01-05483Bruins2Penguins5LR2Sommaire du Match
93 - 2020-01-06490Ducks3Bruins5WSommaire du Match
97 - 2020-01-10512Flames5Bruins2LSommaire du Match
99 - 2020-01-12522Bruins3Blackhawks1WSommaire du Match
101 - 2020-01-14533Blues1Bruins3WSommaire du Match
103 - 2020-01-16541Bruins4Canadiens3WR5Sommaire du Match
105 - 2020-01-18555Stars3Bruins4WXSommaire du Match
107 - 2020-01-20568Bruins2Kings3LXXSommaire du Match
109 - 2020-01-22580Avalanche1Bruins3WSommaire du Match
111 - 2020-01-24587Bruins3Stars1WSommaire du Match
112 - 2020-01-25598Bruins3Canucks2WXXSommaire du Match
115 - 2020-01-28608Red Wings2Bruins4WR5Sommaire du Match
118 - 2020-01-31624Bruins2Predators4LSommaire du Match
120 - 2020-02-02633Red Wings4Bruins2LR5Sommaire du Match
124 - 2020-02-06653Flyers1Bruins3WSommaire du Match
127 - 2020-02-09671Bruins1Rangers4LSommaire du Match
128 - 2020-02-10678Islanders1Bruins4WSommaire du Match
132 - 2020-02-14699Bruins2Blues3LXXSommaire du Match
133 - 2020-02-15703Canadiens1Bruins4WR5Sommaire du Match
136 - 2020-02-18723Oilers5Bruins4LXXSommaire du Match
138 - 2020-02-20732Bruins4Senateurs3WR5Sommaire du Match
141 - 2020-02-23748Rangers5Bruins6WXSommaire du Match
143 - 2020-02-25761Bruins2Islanders5LSommaire du Match
144 - 2020-02-26764Bruins2Senateurs3LR5Sommaire du Match
146 - 2020-02-28776Maple Leafs3Bruins4WXXR5Sommaire du Match
150 - 2020-03-03796Penguins6Bruins4LR2Sommaire du Match
154 - 2020-03-07817Bruins3Maple Leafs4LXSommaire du Match
155 - 2020-03-08820Islanders3Bruins4WXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
158 - 2020-03-11839Bruins1Blackhawks2LSommaire du Match
159 - 2020-03-12845Predators1Bruins2WSommaire du Match
163 - 2020-03-16866Penguins2Bruins3WR2Sommaire du Match
164 - 2020-03-17873Bruins1Capitals3LSommaire du Match
167 - 2020-03-20887Bruins2Wild3LSommaire du Match
168 - 2020-03-21891Rangers2Bruins6WSommaire du Match
172 - 2020-03-25909Bruins5Flyers4WXXSommaire du Match
173 - 2020-03-26913Bruins2Maple Leafs3LXXR5Sommaire du Match
174 - 2020-03-27916Bruins1Penguins3LR2Sommaire du Match
176 - 2020-03-29924Sabres4Bruins1LSommaire du Match
179 - 2020-04-01940Sabres4Bruins2LR5Sommaire du Match
182 - 2020-04-04954Bruins2Sabres4LSommaire du Match
185 - 2020-04-07963Maple Leafs3Bruins2LXXR5Sommaire du Match
186 - 2020-04-08969Bruins4Sabres1WSommaire du Match
187 - 2020-04-09976Bruins3Capitals2WR2Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4525
Assistance56,72138,192
Assistance PCT69.17%93.15%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2315 - 77.17% 90,868$3,725,593$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
4,126,514$ 3,026,751$ 1,876,751$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
15,930$ 3,126,544$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 21,193$ 0$




LigueDomicileVisiteur
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
Saison Régulière
13782633024103206213-73915140207111294183911190043294119-25522063305361151737019254386184281173258588195621293356419.10%4026883.08%31004203549.34%941205645.77%524107948.56%169495717167341344669
1482313105267245246-1411712041431331201341141901124112126-149324540164630639081192687850917889822693884130024103518524.22%3838677.55%91148221851.76%1060213549.65%629118653.04%176699818007751430704
Total Saison Régulière16057640761610451459-88032260611142452143180253801556206245-39145451731118241114163151385230171117591700155527817652256453968614921.72%78515480.38%122152425350.60%2001419147.75%1153226550.91%346119563516150927741373
Séries
127340000022220321000001073413000001215-36223456003991279731009016280907418523313.04%32875.00%09020743.48%7819739.59%5111345.13%155871616812760
Total Séries7340000022220321000001073413000001215-36223456003991279731009016280907418523313.04%32875.00%09020743.48%7819739.59%5111345.13%155871616812760