Bruins

GP: 82 | W: 36 | L: 39 | OTL: 7 | P: 79
GF: 225 | GA: 265 | PP%: 16.45% | PK%: 76.78%
DG: Patrick Doyon | Morale : 50 | Moyenne d'Équipe : 45
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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
1Zach BoychukXXX100.00443588705746334335404562424944050500
2Taylor BeckXX100.00513575707152343835364057474541050490
3Mark McNeillXX100.00513594667456333335333364473734050480
4Ben Thomson (R)XX100.00543565647248333335333366473532050470
5Morgan Klimchuk (R)X100.00483595685848353535353560483532050470
6Petter Emanuelsson (R)XX100.00434545456942424345434345443230050450
7Antoine LaganiereX100.00414545456939394145414145433230050440
8Brendan RanfordXX100.00413592716040293135313159453532050440
9Colin SmithX100.00413592705237293149313159453532050440
10Connor Crisp (R)XX100.00394343437937373943393943413230050430
11Nicolas Aube-Kubel (R)X100.00414545455839394145414145433230050430
12Griffin ReinhartX100.00573577587353343135323081463533050540
13Stuart PercyX100.00513589636049313535423075463532050530
14Morgan EllisX100.00493577666939312935283067463532050500
15Nelson Nogier (R)X100.00484382686245333035293164473532050500
16Nicolas Meloche (R)X100.00434545456742424345434345443230050450
17Johnathan MacLeod (R)X100.00414545456539394145414145433230050440
18Adam ComrieX100.00394343437437373943393943413230050430
Rayé
1Jack Kopacka (R)X100.00404040407140404040404040403230050420
2Justin Kea (R)X100.00394343437437373943393943413230050420
3Keegan Iverson (R)XX100.00394343437537373943393943413230050420
4Matt Iacopelli (R)XX100.00394343436537373943393943413230050420
5Jonathan Ang (R)X100.00404040405040404040404040403230050410
6Alexander FallstromX100.00364040407135353640363640383230050400
7Chris Leblanc (R)X100.00333737376833333337333337353230050380
8Benjamin Gallacher (R)X100.00364040405635353640363640383230050400
9Adam AlmquistX100.00308535405229463135313144453532050390
10Ryan Culkin (R)X100.00333737375433333337333337353230050380
MOYENNE D'ÉQUIPE100.0042415852654136374037375143343205045
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
1Tristan Jarry (R)100.0066458371637167607495533734050640
2Jhonas Enroth100.0039457462364644334792905147050500
Rayé
1Daniel Altshuller (R)100.0041434170403939393939383230050420
2Chase Perry (R)100.0035373569343333333333333230050380
MOYENNE D'ÉQUIPE100.004543586843474641486554383505049
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 GP 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
1Zach BoychukBruins (Bos)C/LW/RW802534591280391522054616012.20%16159619.96510153721800032296246.37%79800000.7405000745
2Andrei MironovBostonD73143448-27201357814346929.79%65145119.8941317652020000184300.00%100000.6611000227
3Morgan KlimchukBruins (Bos)LW82162743-10140461191433210711.19%12139717.041910191650000531135.92%10300000.6213000132
4Griffin ReinhartBruins (Bos)D82113142-5680129110110378310.00%139173221.135914512380111213200.00%100000.4800000225
5Stuart PercyBruins (Bos)D7912304203206283104305511.54%86147218.648513582070002182300.00%000000.5700000423
6Taylor BeckBruins (Bos)LW/RW7923184117420126961473810715.65%17151819.235381822700011612648.97%19400010.5414000256
7Mark McNeillBruins (Bos)C/RW8215254012610671261503711510.00%18156519.0937102323901111473145.75%104700000.5113101404
8Ben ThomsonBruins (Bos)LW/RW82132437-368017493145391308.97%17141617.28369282301011170141.33%7500000.5211000052
9Luke KuninBostonC/RW43112536-444108892133381008.27%886420.111782111800031492048.01%88100000.8312011231
10Eric GelinasBostonD57132235-7460906171184118.31%73116320.42761335160000013902100.00%200000.6000000411
11Brendan RanfordBruins (Bos)LW/RW7391120-9100216510732718.41%7114015.620007690000612033.08%13000100.3500000010
12Nicolas MelocheBruins (Bos)D747132047210107262941924.14%3898913.38202549000169100.00%100000.4000101110
13Chris VandeVeldeBostonC/LW13981702025294692619.57%428421.921345331013362053.00%38300001.1900000300
14Antoine LaganiereBruins (Bos)C607916-95820748148122114.58%794015.681128890000422148.20%91900000.3400103111
15Jeremy LauzonBostonD581151643359420179175.88%3368811.870000210000241033.33%300000.4600001101
16Nelson NogierBruins (Bos)D454812-7180303737122410.81%3861713.7302210340000390144.44%900000.3900000001
17Petter EmanuelssonBruins (Bos)LW/RW458412-166915101226492812.50%572516.122135610001271048.05%7700000.3301102200
18Colin SmithBruins (Bos)C443811-152018764618476.52%1369815.880113240000300047.71%69800000.3100000010
19Zach RedmondBostonD232911-121752430319186.45%2752722.921341569000271000.00%000000.4200010000
20Morgan EllisBruins (Bos)D452810-6200354218101611.11%3462413.8822482900006001100.00%100000.3200000010
21Nicolas Aube-KubelBruins (Bos)RW4126811554316377275.41%445411.07000090000130140.63%3200000.3500100001
22Jack KopackaBruins (Bos)LW40347-712026132241213.64%13167.920221260000250050.00%5000000.4400000002
23Matt IacopelliBruins (Bos)LW/RW35336-11602571321323.08%12757.87000010000070037.84%3700000.4400000000
24Johnathan MacLeodBruins (Bos)D50055-310029813670.00%153657.320333230000340022.22%900000.2700000000
25Adam AlmquistBruins (Bos)D911242013220150.00%214716.3500016000010100.00%000000.2700000010
26Keegan IversonBruins (Bos)C/RW14112-2401012731114.29%015511.1000001000020048.99%14900000.2600000000
27Connor CrispBruins (Bos)C/LW9011-220792110.00%19410.5100000000000051.79%5600000.2100000000
28Jonathan AngBruins (Bos)C17011-72014135050.00%21508.8200013000010039.26%13500000.1300000000
29Adam ComrieBruins (Bos)D4000000520010.00%5328.090000200000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne1438215385600-9477480165715201895508135511.35%6882341016.2851931444272574224192038321746.81%579200110.51620529363342
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
1Tristan JarryBruins (Bos)49291820.9102.5928962312513910110.91712490320
2Thomas GreissBoston2213810.9022.57128242555640100.6673220121
3Jhonas EnrothBruins (Bos)2431330.8554.27123620886080000.50082244100
4Daniel AltshullerBruins (Bos)102410.8653.9743800292150000.0000625000
5Chase PerryBruins (Bos)10000.9412.1428001170000.000006000
Stats d'équipe Total ou en Moyenne106474370.8933.0458818529827950210.739239975541


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam AlmquistBruins (Bos)D261991-02-27No174 Lbs5 ft11YesNoNo2Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Adam ComrieBruins (Bos)D271990-07-31No219 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Alexander FallstromBruins (Bos)RW271990-09-15No203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Antoine LaganiereBruins (Bos)C271990-07-05No196 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Ben ThomsonBruins (Bos)LW/RW241993-01-16Yes205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm635,000$63,500$0$NoLien
Benjamin GallacherBruins (Bos)D251992-09-11Yes183 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Brendan RanfordBruins (Bos)LW/RW251992-05-03No190 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm590,000$59,000$0$NoLien
Chase PerryBruins (Bos)G211996-02-08Yes189 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Chris LeblancBruins (Bos)RW241993-09-12Yes195 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Colin SmithBruins (Bos)C241993-06-20No175 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm620,000$62,000$0$NoLien
Connor CrispBruins (Bos)C/LW231994-04-08Yes225 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm655,000$65,500$0$NoLien
Daniel AltshullerBruins (Bos)G231994-07-24Yes191 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm755,000$75,500$0$NoLien
Griffin ReinhartBruins (Bos)D231994-01-24No217 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Jack KopackaBruins (Bos)LW191998-03-05Yes203 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm742,500$74,250$0$NoLien
Jhonas EnrothBruins (Bos)G291988-06-25No175 Lbs5 ft10YesNoNo1Sans RestrictionPro & Farm900,000$90,000$0$NoLien
Johnathan MacLeodBruins (Bos)D211996-07-02Yes200 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Jonathan AngBruins (Bos)C191998-01-31Yes170 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm742,500$74,250$0$NoLien
Justin KeaBruins (Bos)C231994-02-07Yes212 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm655,000$65,500$0$NoLien
Keegan IversonBruins (Bos)C/RW211996-04-05Yes219 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Mark McNeillBruins (Bos)C/RW241993-02-22No214 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm833,000$83,300$0$NoLien
Matt IacopelliBruins (Bos)LW/RW231994-05-15Yes192 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Morgan EllisBruins (Bos)D251992-04-30No211 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm632,000$63,200$0$NoLien
Morgan KlimchukBruins (Bos)LW221995-03-02Yes185 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Nelson NogierBruins (Bos)D211996-05-27Yes191 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Nicolas Aube-KubelBruins (Bos)RW211996-05-10Yes187 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm667,000$66,700$0$NoLien
Nicolas MelocheBruins (Bos)D201997-07-18Yes203 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Petter EmanuelssonBruins (Bos)LW/RW261991-08-07Yes200 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Ryan CulkinBruins (Bos)D231993-12-15Yes176 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm655,000$65,500$0$NoLien
Stuart PercyBruins (Bos)D241993-05-18No187 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm833,000$83,300$0$NoLien
Taylor BeckBruins (Bos)LW/RW261991-05-13No203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Tristan JarryBruins (Bos)G221995-04-29Yes194 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm667,000$66,700$0$NoLien
Zach BoychukBruins (Bos)C/LW/RW281989-10-04No185 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm963,000$96,300$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3223.63196 Lbs6 ft12.03727,969$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor BeckZach BoychukMark McNeill40122
2Ben ThomsonAntoine LaganierePetter Emanuelsson30122
3Morgan KlimchukColin SmithBrendan Ranford20122
4Nicolas Aube-Kubel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Griffin Reinhart40122
2Stuart PercyMorgan Ellis30122
3Nelson Nogier20122
4Griffin Reinhart10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor BeckZach BoychukMark McNeill60122
2Ben ThomsonAntoine LaganierePetter Emanuelsson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Griffin Reinhart60122
2Stuart PercyMorgan Ellis40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Zach BoychukTaylor Beck60122
2Mark McNeillBen Thomson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Griffin Reinhart60122
2Stuart PercyMorgan Ellis40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zach Boychuk60122Griffin Reinhart60122
2Taylor Beck40122Stuart PercyMorgan Ellis40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Zach BoychukTaylor Beck60122
2Mark McNeillBen Thomson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Griffin Reinhart60122
2Stuart PercyMorgan Ellis40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor BeckZach BoychukMark McNeillGriffin Reinhart
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor BeckZach BoychukMark McNeillGriffin Reinhart
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Morgan Klimchuk, Brendan Ranford, Colin SmithMorgan Klimchuk, Brendan RanfordColin Smith
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nelson Nogier, , Stuart PercyNelson Nogier, Stuart Percy
Tirs de Pénalité
Zach Boychuk, Taylor Beck, Mark McNeill, Ben Thomson, Morgan Klimchuk
Gardien
#1 : Tristan Jarry, #2 : Jhonas Enroth


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
Total82283905532225265-4041161503421124130-641122402111101135-34790.4822253956202379647411193260058871945240269679916933105116.45%3237576.78%21055220147.93%1197259746.09%582131344.33%1895123719326501137574
_Since Last GM Reset82283905532225265-4041161503421124130-641122402111101135-34790.4822253956202379647411193260058871945240269679916933105116.45%3237576.78%21055220147.93%1197259746.09%582131344.33%1895123719326501137574
_Vs Conference43132203320118148-302289013107078-821513020104870-22390.45311820832622796474119796005887194512833594238881552516.13%1704374.71%01055220147.93%1197259746.09%582131344.33%1895123719326501137574
_Vs Division2819010107492-181414000104344-11405010003148-1760.107741312050279647411643600588719458122462695641061514.15%1182578.81%21055220147.93%1197259746.09%582131344.33%1895123719326501137574

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8279W222539562019322402696799169323
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8228395532225265
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116153421124130
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4112242111101135
Derniers 10 Matchs
WLOTWOTL SOWSOL
450001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3105116.45%3237576.78%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
6005887194579647411
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
1055220147.93%1197259746.09%582131344.33%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1895123719326501137574


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
1 - 2018-10-032Bruins5Bears7LSommaire du Match
2 - 2018-10-045Bruins4Crunch6LSommaire du Match
6 - 2018-10-0832Senators5Bruins4LXSommaire du Match
9 - 2018-10-1145Oil Kings2Bruins1LSommaire du Match
11 - 2018-10-1361Cougars4Bruins3LXXSommaire du Match
15 - 2018-10-1788Bruins4Heat3WSommaire du Match
16 - 2018-10-1896Bruins1Oil Kings2LSommaire du Match
18 - 2018-10-20111Bruins3Comets5LSommaire du Match
21 - 2018-10-23125Bruins1Senators3LSommaire du Match
23 - 2018-10-25134Phantoms5Bruins4LXSommaire du Match
25 - 2018-10-27152Rocket3Bruins5WSommaire du Match
28 - 2018-10-30169Bruins2Caroline4LSommaire du Match
32 - 2018-11-03202Bruins2Chill3LSommaire du Match
34 - 2018-11-05210Stars3Bruins4WSommaire du Match
37 - 2018-11-08227Comets3Bruins1LSommaire du Match
39 - 2018-11-10245Marlies4Bruins1LSommaire du Match
40 - 2018-11-11257Las Vegas4Bruins2LSommaire du Match
43 - 2018-11-14275Bruins2Monsters5LSommaire du Match
45 - 2018-11-16286Bruins3Stars2WSommaire du Match
46 - 2018-11-17299Bruins1Jayhawks4LSommaire du Match
50 - 2018-11-21324Bruins2Cougars8LSommaire du Match
52 - 2018-11-23340Manchots1Bruins5WSommaire du Match
53 - 2018-11-24350Bruins4Rocket1WSommaire du Match
55 - 2018-11-26362Bruins0Marlies7LSommaire du Match
58 - 2018-11-29382Sound Tigers3Bruins2LSommaire du Match
60 - 2018-12-01398Cougars2Bruins3WSommaire du Match
63 - 2018-12-04417Bruins5Cabaret Lady Mary Ann2WSommaire du Match
65 - 2018-12-06434Bruins3Thunder2WXSommaire du Match
67 - 2018-12-08446Marlies8Bruins1LSommaire du Match
68 - 2018-12-09456Bruins3Senators0WSommaire du Match
70 - 2018-12-11465Jayhawks4Bruins3LXSommaire du Match
73 - 2018-12-14489Bruins4Manchots2WSommaire du Match
75 - 2018-12-16508Crunch2Bruins5WSommaire du Match
76 - 2018-12-17514Bruins2Rocket3LXSommaire du Match
79 - 2018-12-20530Admirals1Bruins2WSommaire du Match
81 - 2018-12-22545Chill4Bruins5WXXSommaire du Match
82 - 2018-12-23560Bruins5Caroline3WSommaire du Match
86 - 2018-12-27567Spiders5Bruins4LSommaire du Match
88 - 2018-12-29587Bruins1Crunch2LSommaire du Match
91 - 2019-01-01612Bruins4Baby Hawks3WSommaire du Match
93 - 2019-01-03622Heat3Bruins4WXSommaire du Match
95 - 2019-01-05638Crunch1Bruins2WSommaire du Match
98 - 2019-01-08657Minnesota3Bruins1LSommaire du Match
100 - 2019-01-10671Bears2Bruins0LSommaire du Match
102 - 2019-01-12690Bruins0Marlies3LSommaire du Match
104 - 2019-01-14705Rocket0Bruins2WSommaire du Match
106 - 2019-01-16722Bruins2Phantoms1WXXSommaire du Match
107 - 2019-01-17726Chiefs2Bruins3WSommaire du Match
109 - 2019-01-19744Wolf Pack0Bruins2WSommaire du Match
119 - 2019-01-29773Oceanics6Bruins1LSommaire du Match
121 - 2019-01-31778Phantoms4Bruins2LSommaire du Match
124 - 2019-02-03802Bruins3Bears4LSommaire du Match
126 - 2019-02-05809Sound Tigers2Bruins3WXSommaire du Match
127 - 2019-02-06822Bruins2Wolf Pack6LSommaire du Match
130 - 2019-02-09838Monarchs2Bruins4WSommaire du Match
131 - 2019-02-10854Monsters2Bruins4WSommaire du Match
133 - 2019-02-12863Baby Hawks2Bruins3WXSommaire du Match
136 - 2019-02-15891Bruins3Admirals1WSommaire du Match
137 - 2019-02-16903Bruins4Monarchs3WXSommaire du Match
139 - 2019-02-18915Bruins1Sharks4LSommaire du Match
141 - 2019-02-20928Bruins1Las Vegas2LSommaire du Match
144 - 2019-02-23947Bruins1Chiefs3LSommaire du Match
147 - 2019-02-26968Sharks6Bruins4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
149 - 2019-02-28984Thunder3Bruins5WSommaire du Match
151 - 2019-03-021001Spiders5Bruins4LXSommaire du Match
154 - 2019-03-051019Caroline3Bruins2LSommaire du Match
156 - 2019-03-071033Cabaret Lady Mary Ann7Bruins3LSommaire du Match
158 - 2019-03-091051Senators1Bruins2WSommaire du Match
159 - 2019-03-101062Bruins2Manchots1WSommaire du Match
161 - 2019-03-121074Bruins2Monsters3LSommaire du Match
163 - 2019-03-141089Bruins2Oceanics4LSommaire du Match
165 - 2019-03-161103Monsters3Bruins7WSommaire du Match
168 - 2019-03-191123Bruins4Sound Tigers1WSommaire du Match
170 - 2019-03-211137Bruins1Spiders4LSommaire du Match
172 - 2019-03-231157Bruins2Cabaret Lady Mary Ann3LXXSommaire du Match
174 - 2019-03-251172Bruins3Thunder5LSommaire du Match
176 - 2019-03-271186Wolf Pack6Bruins4LSommaire du Match
179 - 2019-03-301205Cabaret Lady Mary Ann2Bruins3WXXSommaire du Match
180 - 2019-03-311219Bruins1Cougars3LSommaire du Match
182 - 2019-04-021230Bruins1Monsters6LSommaire du Match
184 - 2019-04-041250Bruins5Minnesota1WSommaire du Match
186 - 2019-04-061257Thunder2Bruins4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance61,13331,298
Assistance PCT74.55%76.34%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2254 - 75.15% 63,637$2,609,125$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,642,571$ 2,329,500$ 2,329,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
12,457$ 2,642,571$ 32 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 12,457$ 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
201882283905532225265-4041161503421124130-641122402111101135-34792253956202379647411193260058871945240269679916933105116.45%3237576.78%21055220147.93%1197259746.09%582131344.33%1895123719326501137574
Total Saison Régulière82283905532225265-4041161503421124130-641122402111101135-34792253956202379647411193260058871945240269679916933105116.45%3237576.78%21055220147.93%1197259746.09%582131344.33%1895123719326501137574