Bruins
GP: 82 | W: 53 | L: 26 | OTL: 3 | P: 109
GF: 221 | GA: 176 | PP%: 15.99% | PK%: 87.53%
DG: Marcel Cormier | Morale : 50 | Moyenne d'Équipe : N/A
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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 SPÂgeContratSalaire
1Anders BjorkXX100.006942948068636660346370634557576850002311,066,667$
2Carter Verhaeghe (R)X100.00674294646854816140587061255959665000243700,000$
3Jean-Sebastien DeaXX100.00706483626478826480616264595252655000264700,000$
4Jordan KyrouXX100.00614190816557716436646652254848655000221880,000$
5John QuennevilleXXX100.00737276737260606176536564624747645000242750,000$
6Nick CousinsXXX100.007954847568659072456868596064656940002641,000,000$
7Martin KautX100.006967737367677059505954605144445950002021,350,000$
8Mathieu Joseph (R)XX100.00784387826559855934586067255758655000233910,833$
9Nicolas Aube-Kubel (R)X100.00885984676859806534677163254848705000243700,000$
10Pierre EngvallXX100.00674295747461845945627078254848705000242950,000$
11Lawson CrouseX100.009578858384659160496274782564647556002311,602,500$
12Ryan Donato (R)XX100.007343938367578566436274598058597150002411,350,000$
13Danick MartelX100.00625773625762636350576361605555625000251800,000$
14Peter CehlarikXX100.00787586677576796550626367604747675000252700,000$
15Trevor MooreX100.00794395666163756234606672255253685000253775,000$
16Jan RuttaX100.006743877776676561255348722557586026002912,300,000$
17Dylan McIlrathX100.00959061659065755625394783255555605000283737,500$
18Nicolas Hague (R)X100.00834676788269846625604856254747615000213863,333$
19Matt GrzelcykX100.007142858361758473255948702559616350002641,400,000$
Rayé
1Zach Senyshyn (R)X100.00777190707170745550505663534444605000232792,500$
2Ryan Fitzgerald (R)XX100.00706190656173775771515860554444615000251925,000$
3Cam Dineen (R)X100.00746692666667734725374260404444535000223910,833$
4Jakub ZborilX100.007675786675707551254541633948485450002331,288,333$
5Jeremy LauzonX100.00827859657567725325444877255353595000232871,666$
6Jeremy RoyX100.00716877616860644725394059384747515000232863,333$
7Tobias Bjornfot (R)X100.007873917473626454254648644644445850001931,083,333$
8Joey Keane (R)X100.00726782616775795925535162484444605000203925,000$
9Rob O'GaraX100.00838187638155574825364565434444555000264900,000$
10Sean Durzi (R)X100.00757185647156585125464161394444535000213925,000$
MOYENNE D'ÉQUIPE100.0075608471706575593954576541515162490
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
1Anthony Stolarz100.0063617688666555656261304545625000
2Filip Larsson (R)100.0044496171404250514445304444465000
Rayé
1Henrik Lundqvist100.0073737568796658747572938389722800
2Veini Vehvilainen100.0054658169515953595655304444565000
MOYENNE D'ÉQUIPE100.005962737459585462595846545659450
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock87808280999441CAN7031,850,000$


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
1Pierre EngvallBruins (BOS)LW/RW82353267-2240581252196317915.98%8137016.7118234167373000046046.25%8000010.9811000962
2Ryan DonatoBruins (BOS)C/LW82263056194210691191835313614.21%8160919.63711184134011282795447.50%62100010.70310002464
3Matt GrzelcykBruins (BOS)D82133952-533566112122238610.66%96191923.4192029903790221392330.00%000000.5400000414
4Dylan McIlrathBruins (BOS)D82103646112224025561100405410.00%70167120.3962026663551015285300.00%000000.5500602242
5Nicolas Aube-KubelBruins (BOS)RW82133144591520269133361149.77%7138016.8351924333470001694340.24%8200000.6400010358
6Oskar SundqvistBruinsC/RW501126378440851661103710610.00%15107621.52210122522520292451155.51%140700010.6957000333
7Anders BjorkBruins (BOS)LW/RW8217163383004475145359611.72%9117914.38718231560004704141.53%11800000.5624000233
8Jordan KyrouBruins (BOS)C/RW829243311220299174205012.16%7120114.6506691530000121239.22%79300000.5500000420
9Sean KuralyBruinsC/LW331119305220635962174417.74%1261618.697916191460001863058.40%35100010.9701000421
10Jan RuttaBruins (BOS)D631116270180316786234112.79%50130820.77117187029901102642220.00%500000.4100000030
11Nicolas HagueBruins (BOS)D8242327-615210182575511407.27%42182922.3131114413670220331100.00%000000.3000101051
12Mathieu JosephBruins (BOS)LW/RW829132257559910310836618.33%1296211.7400003000001142.55%4700000.4600010111
13Nick CousinsBruins (BOS)C/LW/RW3210102010360613858155417.24%163919.983251614401101212048.08%10400000.6303000322
14Trevor MooreBruins (BOS)LW826142048151187338133415.79%48103712.660001230000252034.57%8100000.3900010201
15Peter CehlarikBruins (BOS)LW/RW82710171500795459194611.86%178009.7700000000001240.74%2700000.4200000102
16Carter VerhaegheBruins (BOS)C8279164280386165164410.77%20102812.5500024000003043.67%63200000.3100000041
17Jean-Sebastien DeaBruins (BOS)C/RW8251015-2360444936113313.89%277288.880116350000160161.40%11400000.4100000113
18John QuennevilleBruins (BOS)C/LW/RW826713-316036232882421.43%13484.252137340001801053.49%4300000.7500000011
19Joel EdmundsonBruinsD183581420423015101720.00%1740522.531121175101265100.00%000000.3900000020
20Jeremy LauzonBruins (BOS)D18088101602016179160.00%1938121.180111278011069000.00%000000.4200000001
21Tobias BjornfotBruins (BOS)D17246-4751891722.22%1235620.97022363000080000.00%000000.3400001010
22Danick MartelBruins (BOS)LW60044-3801717154170.00%82864.780226590001720047.79%11300000.2800000000
23Martin KautBruins (BOS)RW81120001321050.00%0415.24011070000500100.00%500000.9500000000
24Zach SenyshynBruins (BOS)RW101010203130033.33%1555.53101280000381039.13%2300000.3600000000
Stats d'équipe Total ou en Moyenne145721738760477109785164314771742501129912.46%5072223615.268214823055036845813332619452048.60%464600040.541126736435240
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
1Anthony StolarzBruins (BOS)53321920.8792.3631590612410250100.800255329315
2Dan VladarBruins2921710.9131.68175006495640001.0005290621
Stats d'équipe Total ou en Moyenne82532630.8912.11490901217315890100.833308229936


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 RestantSalaire MoyenSalaire Moyen 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
Anders BjorkBruins (BOS)LW/RW231996-08-05No186 Lbs6 ft0NoNoNo1Pro & Farm1,066,667$8,602$1,066,667$8,602$0$0$NoLien
Anthony StolarzBruins (BOS)G261994-01-20No210 Lbs6 ft6NoNoNo1Pro & Farm753,333$6,075$753,333$6,075$0$0$NoLien
Cam DineenBruins (BOS)D221998-06-19Yes183 Lbs5 ft11NoNoNo3Pro & Farm910,833$7,345$910,833$7,345$0$0$No910,833$910,833$
Carter VerhaegheBruins (BOS)C241995-08-14Yes181 Lbs6 ft1NoNoNo3Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$
Danick MartelBruins (BOS)LW251994-12-12No162 Lbs5 ft8NoNoNo1Pro & Farm800,000$6,452$800,000$6,452$0$0$NoLien
Dylan McIlrathBruins (BOS)D281992-04-20No236 Lbs6 ft5NoNoNo3Pro & Farm737,500$5,948$700,000$5,645$0$0$No700,000$700,000$Lien
Filip LarssonBruins (BOS)G211998-08-17Yes181 Lbs6 ft2NoNoNo1Pro & Farm1,505,787$12,143$1,505,787$12,143$0$0$NoLien
Henrik LundqvistBruins (BOS)G381982-03-01No180 Lbs6 ft1NoNoNo1Pro & Farm1,750,000$14,113$1,750,000$14,113$0$0$NoLien
Jakub ZborilBruins (BOS)D231997-02-21No200 Lbs6 ft2NoNoNo3Pro & Farm1,288,333$10,390$1,288,333$10,390$0$0$No1,288,333$1,288,333$Lien
Jan RuttaBruins (BOS)D291990-07-29No200 Lbs6 ft3NoNoNo1Pro & Farm2,300,000$18,548$2,300,000$18,548$0$0$NoLien
Jean-Sebastien DeaBruins (BOS)C/RW261994-02-08No175 Lbs5 ft11NoNoNo4Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$700,000$Lien
Jeremy LauzonBruins (BOS)D231997-04-28No204 Lbs6 ft1NoNoNo2Pro & Farm871,666$7,030$871,666$7,030$0$0$No871,666$Lien
Jeremy RoyBruins (BOS)D231997-05-14No185 Lbs6 ft0NoNoNo2Pro & Farm863,333$6,962$863,333$6,962$0$0$No863,333$Lien
Joey KeaneBruins (BOS)D201999-07-02Yes183 Lbs6 ft0NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
John QuennevilleBruins (BOS)C/LW/RW241996-04-16No195 Lbs6 ft1NoNoNo2Pro & Farm750,000$6,048$750,000$6,048$0$0$No750,000$Lien
Jordan KyrouBruins (BOS)C/RW221998-05-05No175 Lbs6 ft0NoNoNo1Pro & Farm880,000$7,097$880,000$7,097$0$0$NoLien
Lawson CrouseBruins (BOS)LW231997-06-23No220 Lbs6 ft4NoNoNo1Pro & Farm1,602,500$12,923$1,602,500$12,923$0$0$NoLien
Martin KautBruins (BOS)RW201999-10-02No176 Lbs6 ft2NoNoNo2Pro & Farm1,350,000$10,887$450,000$3,629$0$0$No1,350,000$Lien
Mathieu JosephBruins (BOS)LW/RW231997-02-09Yes173 Lbs6 ft1NoNoNo3Pro & Farm910,833$7,345$910,833$7,345$0$0$No910,833$910,833$
Matt GrzelcykBruins (BOS)D261994-01-05No174 Lbs5 ft9NoNoNo4Pro & Farm1,400,000$11,290$1,400,000$11,290$0$0$No1,400,000$1,400,000$1,400,000$Lien
Nick CousinsBruins (BOS)C/LW/RW261993-07-19No185 Lbs5 ft11NoNoNo4Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$No1,000,000$1,000,000$1,000,000$Lien
Nicolas Aube-KubelBruins (BOS)RW241996-05-09Yes187 Lbs5 ft11NoNoNo3Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$
Nicolas HagueBruins (BOS)D211998-12-05Yes214 Lbs6 ft6NoNoNo3Pro & Farm863,333$6,962$863,333$6,962$0$0$No863,333$863,333$
Peter CehlarikBruins (BOS)LW/RW251995-05-12No202 Lbs6 ft2NoNoNo2Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$Lien
Pierre EngvallBruins (BOS)LW/RW241996-05-31No192 Lbs6 ft4NoNoNo2Pro & Farm950,000$7,661$925,000$7,460$0$0$No925,000$Lien
Rob O'GaraBruins (BOS)D261993-07-06No215 Lbs6 ft4NoNoNo4Pro & Farm900,000$7,258$900,000$7,258$0$0$No900,000$900,000$900,000$Lien
Ryan DonatoBruins (BOS)C/LW241996-04-09Yes181 Lbs6 ft0NoNoNo1Pro & Farm1,350,000$10,887$450,000$3,629$0$0$No
Ryan FitzgeraldBruins (BOS)C/LW251994-10-19Yes172 Lbs5 ft9NoNoNo1Pro & Farm925,000$7,460$925,000$7,460$0$0$No
Sean DurziBruins (BOS)D211998-10-21Yes196 Lbs6 ft0NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Tobias BjornfotBruins (BOS)D192001-04-06Yes203 Lbs6 ft0NoNoNo3Pro & Farm1,083,333$8,737$1,083,333$8,737$0$0$No1,083,333$1,083,333$
Trevor MooreBruins (BOS)LW251995-03-31No170 Lbs5 ft9NoNoNo3Pro & Farm775,000$6,250$775,000$6,250$0$0$No775,000$775,000$Lien
Veini VehvilainenBruins (BOS)G231997-02-13No183 Lbs6 ft1NoNoNo3Pro & Farm925,250$7,462$925,000$7,460$0$0$No925,000$925,000$Lien
Zach SenyshynBruins (BOS)RW231997-03-30Yes192 Lbs6 ft1NoNoNo2Pro & Farm792,500$6,391$792,500$6,391$0$0$No792,500$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3324.09190 Lbs6 ft12.301,028,945$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan DonatoAnders Bjork35122
2Pierre EngvallJordan KyrouNicolas Aube-Kubel30122
3Mathieu JosephCarter VerhaeghePeter Cehlarik25122
4Trevor MooreJean-Sebastien DeaJohn Quenneville10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykNicolas Hague35122
2Jan RuttaDylan McIlrath30122
3Trevor MooreJean-Sebastien Dea25122
4Matt GrzelcykNicolas Hague10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan DonatoAnders Bjork60122
2Pierre EngvallJordan KyrouNicolas Aube-Kubel40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykNicolas Hague60122
2Jan RuttaDylan McIlrath40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Donato60122
2Anders BjorkNicolas Aube-Kubel40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykNicolas Hague60122
2Jan RuttaDylan McIlrath40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Matt GrzelcykNicolas Hague60122
2Ryan Donato40122Jan RuttaDylan McIlrath40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Donato60122
2Anders BjorkNicolas Aube-Kubel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykNicolas Hague60122
2Jan RuttaDylan McIlrath40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan DonatoAnders BjorkMatt GrzelcykNicolas Hague
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan DonatoAnders BjorkMatt GrzelcykNicolas Hague
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Danick Martel, , Danick Martel,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jan Rutta, Dylan McIlrath, Matt GrzelcykJan RuttaDylan McIlrath, Matt Grzelcyk
Tirs de Pénalité
, Ryan Donato, Anders Bjork, Nicolas Aube-Kubel, Pierre Engvall
Gardien
#1 : Anthony Stolarz, #2 :


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
1Admirals22000000853110000004311100000042241.00081422008473551450519590589434011224416425.00%9277.78%01087233546.55%1060224647.20%544117546.30%205414211922600999511
2Condors22000000734110000004221100000031241.00071219008473551451519590589434119204313538.46%100100.00%01087233546.55%1060224647.20%544117546.30%205414211922600999511
3Crunch853000002017343100000129342200000880100.6252039590184735514188519590589431654310219153713.21%47295.74%01087233546.55%1060224647.20%544117546.30%205414211922600999511
4Flames21100000550110000002111010000034-120.50051015008473551435519590589434311203315213.33%10280.00%01087233546.55%1060224647.20%544117546.30%205414211922600999511
5Griffins862000002115644000000126642200000990120.750213960028473551416451959058943174549015539615.38%40587.50%11087233546.55%1060224647.20%544117546.30%205414211922600999511
6IceHogs21100000761110000005321010000023-120.50071320008473551442519590589433912225010440.00%10280.00%01087233546.55%1060224647.20%544117546.30%205414211922600999511
7Marlies84200011201914210000110100421000101091110.688203353008473551417651959058943161578713045817.78%41587.80%11087233546.55%1060224647.20%544117546.30%205414211922600999511
8Monarchs21100000660110000005231010000014-320.50061117008473551442519590589434214363810110.00%18477.78%11087233546.55%1060224647.20%544117546.30%205414211922600999511
9Monsters541000001046330000005052110000054180.8001018280384735514895195905894370216210132412.50%290100.00%01087233546.55%1060224647.20%544117546.30%205414211922600999511
10Moose2020000057-21010000023-11010000034-100.00059140084735514345195905894332649271915.26%10280.00%01087233546.55%1060224647.20%544117546.30%205414211922600999511
11Penguins30100020810-2100000104312010001047-340.66781119008473551470519590589436516406719210.53%19573.68%01087233546.55%1060224647.20%544117546.30%205414211922600999511
12Phantoms320000011266110000006242100000164250.833122032008473551470519590589435618506820315.00%25388.00%01087233546.55%1060224647.20%544117546.30%205414211922600999511
13Rampage220000001046110000006331100000041341.00010172700847355144951959058943451028469555.56%14285.71%01087233546.55%1060224647.20%544117546.30%205414211922600999511
14Rocket94401000161514220000067-1522010001082100.556162945028473551415951959058943166491241744848.33%49883.67%01087233546.55%1060224647.20%544117546.30%205414211922600999511
15Senators84000130251213420001101710742000020826150.9382537620384735514172519590589431424912014556814.29%47589.36%11087233546.55%1060224647.20%544117546.30%205414211922600999511
16Sharks2020000046-21010000023-11010000023-100.000481200847355143551959058943341124334125.00%11190.91%01087233546.55%1060224647.20%544117546.30%205414211922600999511
17Soldiers41300000814-62110000056-12020000038-520.25081523008473551472519590589436816438426415.38%18383.33%01087233546.55%1060224647.20%544117546.30%205414211922600999511
18Sound Tigers321000001183220000007341010000045-140.667111930008473551473519590589436929425515320.00%16193.75%01087233546.55%1060224647.20%544117546.30%205414211922600999511
19Stars22000000734110000005321100000020241.00071421018473551438519590589435311184814214.29%9188.89%01087233546.55%1060224647.20%544117546.30%205414211922600999511
20Wolf Pack31100010651210000105321010000012-140.66761016008473551458519590589435611405420210.00%20290.00%01087233546.55%1060224647.20%544117546.30%205414211922600999511
21Wolves2010001056-11010000013-21000001043120.500581300847355144351959058943476263611327.27%13376.92%01087233546.55%1060224647.20%544117546.30%205414211922600999511
Total82442601182221176454128800131125854041161801051969151090.665221386607012847355141710519590589431608474106516224947915.99%4655887.53%41087233546.55%1060224647.20%544117546.30%205414211922600999511
_Since Last GM Reset82442601182221176454128800131125854041161801051969151090.665221386607012847355141710519590589431608474106516224947915.99%4655887.53%41087233546.55%1060224647.20%544117546.30%205414211922600999511
_Vs Conference4925130117212293292415400131674522251090104155487690.70412220732909847355141017519590589439242756459633084012.99%2873288.85%21087233546.55%1060224647.20%544117546.30%205414211922600999511
_Vs Division4117901141102782420940011157421521850103045369460.5611021772790884735514859519590589438082525237952413313.69%2242588.84%31087233546.55%1060224647.20%544117546.30%205414211922600999511

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82109L12213866071710160847410651622012
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8244261182221176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41288013112585
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41161810519691
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4947915.99%4655887.53%4
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
5195905894384735514
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
1087233546.55%1060224647.20%544117546.30%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
205414211922600999511


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 - 2020-09-274Bruins4Rocket2WSommaire du Match
3 - 2020-09-2921Griffins1Bruins2WSommaire du Match
5 - 2020-10-0134Crunch2Bruins3WSommaire du Match
6 - 2020-10-0244Bruins2Crunch0WSommaire du Match
7 - 2020-10-0353Bruins0Soldiers3LSommaire du Match
9 - 2020-10-0563Monsters0Bruins3WSommaire du Match
11 - 2020-10-0777Crunch1Bruins3WSommaire du Match
13 - 2020-10-0988Bruins2Rocket3LSommaire du Match
15 - 2020-10-1198Bruins2Phantoms3LXXSommaire du Match
17 - 2020-10-13109Bruins3Crunch4LSommaire du Match
19 - 2020-10-15120Wolf Pack2Bruins3WXXSommaire du Match
20 - 2020-10-16126Bruins1Griffins5LSommaire du Match
22 - 2020-10-18136Senators0Bruins4WSommaire du Match
23 - 2020-10-19151Marlies3Bruins2LXXSommaire du Match
24 - 2020-10-20157Bruins2Senators0WSommaire du Match
26 - 2020-10-22174Rocket2Bruins0LSommaire du Match
27 - 2020-10-23186Crunch3Bruins2LSommaire du Match
29 - 2020-10-25196Bruins0Crunch2LSommaire du Match
31 - 2020-10-27207Bruins3Griffins0WSommaire du Match
33 - 2020-10-29219Crunch3Bruins4WSommaire du Match
35 - 2020-10-31229Bruins3Griffins4LSommaire du Match
37 - 2020-11-02240IceHogs3Bruins5WSommaire du Match
39 - 2020-11-04252Monarchs2Bruins5WSommaire du Match
41 - 2020-11-06262Bruins3Crunch2WSommaire du Match
43 - 2020-11-08274Bruins1Monsters2LSommaire du Match
44 - 2020-11-09281Senators2Bruins5WSommaire du Match
45 - 2020-11-10293Bruins3Flames4LSommaire du Match
47 - 2020-11-12303Soldiers3Bruins5WSommaire du Match
48 - 2020-11-13315Bruins4Marlies2WSommaire du Match
49 - 2020-11-14323Bruins1Rocket0WSommaire du Match
50 - 2020-11-15329Monsters0Bruins1WSommaire du Match
52 - 2020-11-17344Rocket0Bruins1WSommaire du Match
53 - 2020-11-18357Senators4Bruins3LXSommaire du Match
54 - 2020-11-19368Bruins2Griffins0WSommaire du Match
55 - 2020-11-20377Bruins1Wolf Pack2LSommaire du Match
56 - 2020-11-21388Bruins2Senators1WXXSommaire du Match
57 - 2020-11-22395Marlies2Bruins3WSommaire du Match
59 - 2020-11-24411Rocket4Bruins3LSommaire du Match
60 - 2020-11-25422Bruins4Admirals2WSommaire du Match
62 - 2020-11-27432Rocket1Bruins2WSommaire du Match
64 - 2020-11-29444Bruins2Senators1WXXSommaire du Match
65 - 2020-11-30455Sound Tigers1Bruins4WSommaire du Match
66 - 2020-12-01462Bruins1Marlies4LSommaire du Match
68 - 2020-12-03476Marlies2Bruins4WSommaire du Match
70 - 2020-12-05490Bruins4Phantoms1WSommaire du Match
71 - 2020-12-06499Griffins1Bruins2WSommaire du Match
72 - 2020-12-07512Bruins1Rocket2LSommaire du Match
73 - 2020-12-08520Moose3Bruins2LSommaire du Match
75 - 2020-12-10532Bruins2Senators0WSommaire du Match
76 - 2020-12-11543Bruins3Condors1WSommaire du Match
77 - 2020-12-12549Monsters0Bruins1WSommaire du Match
79 - 2020-12-14563Bruins2Sharks3LSommaire du Match
80 - 2020-12-15572Wolves3Bruins1LSommaire du Match
81 - 2020-12-16585Sound Tigers2Bruins3WSommaire du Match
83 - 2020-12-18597Condors2Bruins4WSommaire du Match
85 - 2020-12-20606Bruins4Wolves3WXXSommaire du Match
86 - 2020-12-21619Bruins1Monarchs4LSommaire du Match
87 - 2020-12-22629Wolf Pack1Bruins2WSommaire du Match
89 - 2020-12-24640Stars3Bruins5WSommaire du Match
91 - 2020-12-26655Bruins3Marlies2WSommaire du Match
92 - 2020-12-27660Bruins2Stars0WSommaire du Match
94 - 2020-12-29671Rampage3Bruins6WSommaire du Match
95 - 2020-12-30685Marlies3Bruins1LSommaire du Match
96 - 2020-12-31690Bruins4Monsters2WSommaire du Match
97 - 2021-01-01708Bruins2IceHogs3LSommaire du Match
98 - 2021-01-02715Soldiers3Bruins0LSommaire du Match
100 - 2021-01-04731Admirals3Bruins4WSommaire du Match
101 - 2021-01-05739Bruins4Rampage1WSommaire du Match
103 - 2021-01-07751Bruins3Moose4LSommaire du Match
104 - 2021-01-08760Senators4Bruins5WXXSommaire du Match
105 - 2021-01-09771Bruins3Soldiers5LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10779Bruins2Rocket1WXSommaire du Match
107 - 2021-01-11790Phantoms2Bruins6WSommaire du Match
109 - 2021-01-13803Penguins3Bruins4WXXSommaire du Match
111 - 2021-01-15819Sharks3Bruins2LSommaire du Match
112 - 2021-01-16826Bruins2Marlies1WXXSommaire du Match
113 - 2021-01-17833Bruins1Penguins5LSommaire du Match
115 - 2021-01-19847Flames1Bruins2WSommaire du Match
117 - 2021-01-21868Griffins2Bruins5WSommaire du Match
118 - 2021-01-22875Bruins3Penguins2WXXSommaire du Match
120 - 2021-01-24885Griffins2Bruins3WSommaire du Match
121 - 2021-01-25893Bruins4Sound Tigers5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
5,107,044$ 3,395,519$ 3,209,244$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 3,271,907$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 42,303$ 42,303$




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