Connexion

Bruins
GP: 4 | W: 3 | L: 1
GF: 9 | GA: 5 | PP%: 11.11% | PK%: 90.48%
DG: Dominic Rozon | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #35 vs Monsters
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Centre de jeu
Bruins
3-1-0, 6pts
1
FINAL
0 Monsters
1-3-0, 2pts
Team Stats
OTL1SéquenceW1
2-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-2-0
3-0-1Derniers 10 matchs1-3-0
2.25Buts par match 1.25
1.25Buts contre par match 2.25
11.11%Pourcentage en avantage numérique9.52%
90.48%Pourcentage en désavantage numérique88.89%
Bruins
3-1-0, 6pts
2
FINAL
3 Monsters
1-3-0, 2pts
Team Stats
OTL1SéquenceW1
2-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-2-0
3-0-1Derniers 10 matchs1-3-0
2.25Buts par match 1.25
1.25Buts contre par match 2.25
11.11%Pourcentage en avantage numérique9.52%
90.48%Pourcentage en désavantage numérique88.89%
Monsters
1-3-0, 2pts
Jour 9
Bruins
3-1-0, 6pts
Statistiques d’équipe
W1SéquenceOTL1
1-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-1-0
1-3-010 derniers matchs3-0-1
1.25Buts par match 2.25
2.25Buts contre par match 2.25
9.52%Pourcentage en avantage numérique11.11%
88.89%Pourcentage en désavantage numérique90.48%
Bruins
3-1-0, 6pts
Jour 11
Monsters
1-3-0, 2pts
Statistiques d’équipe
OTL1SéquenceW1
2-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-2-0
3-0-110 derniers matchs1-3-0
2.25Buts par match 1.25
1.25Buts contre par match 1.25
11.11%Pourcentage en avantage numérique9.52%
90.48%Pourcentage en désavantage numérique88.89%
Monsters
1-3-0, 2pts
Jour 13
Bruins
3-1-0, 6pts
Statistiques d’équipe
W1SéquenceOTL1
1-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-1-0
1-3-010 derniers matchs3-0-1
1.25Buts par match 2.25
2.25Buts contre par match 2.25
9.52%Pourcentage en avantage numérique11.11%
88.89%Pourcentage en désavantage numérique90.48%
Meneurs d'équipe
Buts
Jack McBain
3
Passes
Artem Zub
5
Points
Artem Zub
6
Plus/Moins
David Gustafsson
3
Victoires
Spencer Knight
3
Pourcentage d’arrêts
Spencer Knight
0.896

Statistiques d’équipe
Buts pour
9
2.25 GFG
Tirs pour
95
23.75 Avg
Pourcentage en avantage numérique
11.1%
3 GF
Début de zone offensive
46.6%
Buts contre
5
1.25 GAA
Tirs contre
48
12.00 Avg
Pourcentage en désavantage numérique
90.5%%
2 GA
Début de la zone défensive
36.5%
Informations de l'équipe

Directeur généralDominic Rozon
EntraîneurDavid Quinn
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 60
Espoirs14


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
1Pius Suter0XX100.006541978064679860656171777563637150002711,775,000$
2Akil Thomas (R)0X100.00696482676452516075516561624444625000231910,833$
3Jack McBain (R)0XX100.009980787783676458766368822555557250002331,350,000$
4Jean-Sebastien Dea (R)0X100.00676181756182876379596460614444655000291750,000$
5Zach Senyshyn (R)0X100.00787586637575815350475464514545595000264750,000$
6Isak Rosen (R)0X100.006858926658727560505758605544446250002031,450,000$
7Nick Cousins0XX100.007656857766599157506860645870726650003011,000,000$
8Martin Kaut0X100.006742968065567665346060672550506550002311,288,333$
9Pierre Engvall0XX100.006743907481659469516373702564657150002711,250,000$
10Ryan Donato0XX100.007557818370598964466472686166667150002721,900,000$
11David Gustafsson0XX100.00654295787356656062615578255353645000233775,000$
12Oskar Sundqvist0XX100.007344878177668072417268682566667150002912,750,000$
13Artem Zub0X100.009057798275808459255048812561616450002711,775,000$
14Chris Wideman0X100.0065535373656272662550476625575758500N0331762,500$
15Cam Dineen0X100.00756792666773785625554263404747575000251750,000$
16Jakub Zboril0X100.007944917773624355255148787558586150002641,137,500$
17Matt Grzelcyk0X100.006941888361729161256348662566696350002911,400,000$
18Tobias Bjornfot0X100.007973947473748149253742664058585650002231,052,500$
Rayé
1Hudson Elynuik0X100.00717563667558595468535060484444565000251750,000$
2Jachym Kondelik (R)0X100.00848483658456585164475166484444575000233925,000$
3Michael Vukojevic (R)0X100.00817986667959634325304162394444525000221925,000$
4Jeremy Davies0X100.0065666268667379532539515748464656500N0261750,000$
MOYENNE D’ÉQUIPE100.0074598474716675594655566744545463500
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Joel Hofer (R)0100.0060546866646656646563304444615000231910,833$
2Spencer Knight0100.0068626078785883676767655051685000221925,000$
Rayé
1Dustin Tokarski0100.005850637461595562605995484859500N0331775,000$
2Pyotr Kochetkov (R)0100.0066535281656792677967754647695000243925,000$
MOYENNE D’ÉQUIPE100.006355617567637265686466474864500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn85818278827768USA5721,500,000$


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
1Artem ZubBruins (BOS)D4156312018585412.50%69423.66123822011011100%000001.2700000101
2Jack McBainBruins (BOS)C/LW43140120912126725.00%07819.71112222000081171.43%6300001.0100000001
3Pius SuterBruins (BOS)C/LW40331000619260%07719.43011521011180083.33%600000.7700000000
4Martin KautBruins (BOS)RW41230000360216.67%06817.15112522000000066.67%300000.8700000000
5David GustafssonBruins (BOS)C/LW4213300111113218.18%06416.1900000000081044.44%900000.9300000020
6Nick CousinsBruins (BOS)C/LW4022380753410%16015.1500002000010052.38%4200000.6600000000
7Cam DineenBruins (BOS)D4011240531100%06917.450001200007000%000000.2900000000
8Isak RosenBruins (BOS)RW41013001333433.33%05614.0200000000000050.00%200000.3600000001
9Pierre EngvallBruins (BOS)LW/RW41010204780312.50%06716.82000321101190069.23%1300000.3000000000
10Matt GrzelcykBruins (BOS)D4011300343110%09724.35011321000017000%000000.2100000000
11Tobias BjornfotBruins (BOS)D40112201032000%16716.770001200003000%000000.3000000000
12Akil ThomasBruins (BOS)C4000000010010%0102.73000050000000100.00%60000000000000
13Chris WidemanBruins (BOS)D4000-200224100%28421.16000321000014000%00000000000000
14Jean-Sebastien DeaBruins (BOS)C4000000322020%0276.8300000000000054.55%220000000000000
15Zach SenyshynBruins (BOS)RW4000000011000%0287.180000100000000%00000000000000
16Jakub ZborilBruins (BOS)D4000-200343230%28421.09000322000014000%00000000000000
17Ryan DonatoBruins (BOS)C/LW4000-100563340%17518.8000012100001700100.00%10000000000000
18Oskar SundqvistBruins (BOS)C/RW4000-140796260%09223.020003190000130045.45%990000000000000
Statistiques d’équipe totales ou en moyenne72917261444078879533469.47%13120616.753693823012321393157.14%26600000.4300000123
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
1Spencer KnightBruins (BOS)43010.8961.21249025480000040110
Statistiques d’équipe totales ou en moyenne43010.8961.2124902548000040110


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Akil ThomasBruins (BOS)C232000-01-02Yes177 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm910,833$390,357$450,000$192,857$0$0$No------------------Lien
Artem ZubBruins (BOS)D271995-10-02No202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,775,000$760,714$1,775,000$760,714$0$0$No------------------Lien
Cam DineenBruins (BOS)D251998-06-18No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Chris WidemanBruins (BOS)D331990-01-07No183 Lbs5 ft10YesNoN/ANoNo1FalseFalsePro & Farm762,500$326,786$762,500$326,786$0$0$No------------------Lien
David GustafssonBruins (BOS)C/LW232000-04-11No196 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm775,000$332,143$775,000$332,143$0$0$No775,000$775,000$-------NoNo-------Lien
Dustin TokarskiBruins (BOS)G331989-09-15No205 Lbs6 ft0YesNoN/ANoNo1FalseFalsePro & Farm775,000$332,143$775,000$332,143$0$0$No------------------Lien
Hudson ElynuikBruins (BOS)C251997-10-12No194 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Isak RosenBruins (BOS)RW202003-03-15Yes156 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,450,000$621,429$1,450,000$621,429$0$0$No1,450,000$1,450,000$-------NoNo-------
Jachym KondelikBruins (BOS)C231999-12-21Yes218 Lbs6 ft7NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Jack McBainBruins (BOS)C/LW232000-06-06Yes218 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm1,350,000$578,571$1,350,000$578,571$0$0$No1,350,000$1,350,000$-------NoNo-------Lien
Jakub ZborilBruins (BOS)D261997-02-21No200 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm1,137,500$487,500$1,137,500$487,500$0$0$No1,137,500$1,137,500$1,137,500$------NoNoNo------Lien
Jean-Sebastien DeaBruins (BOS)C291994-02-08Yes168 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Jeremy DaviesBruins (BOS)D261996-12-04No181 Lbs5 ft11YesNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Joel HoferBruins (BOS)G232000-07-30Yes161 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm910,833$390,357$450,000$192,857$0$0$No------------------Lien
Martin KautBruins (BOS)RW231999-10-02No174 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,288,333$552,143$1,288,333$552,143$0$0$No------------------Lien
Matt GrzelcykBruins (BOS)D291994-01-05No174 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,400,000$600,000$1,400,000$600,000$0$0$No------------------Lien
Michael VukojevicBruins (BOS)D222001-06-08Yes212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$450,000$192,857$0$0$No------------------Lien
Nick CousinsBruins (BOS)C/LW301993-07-19No183 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$428,571$1,000,000$428,571$0$0$No------------------Lien
Oskar SundqvistBruins (BOS)C/RW291994-03-23No209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,750,000$1,178,571$2,750,000$1,178,571$0$0$No------------------Lien
Pierre EngvallBruins (BOS)LW/RW271996-05-31No214 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$535,714$1,250,000$535,714$0$0$No------------------Lien
Pius SuterBruins (BOS)C/LW271996-05-24No176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,775,000$760,714$1,775,000$760,714$0$0$No------------------Lien
Pyotr KochetkovBruins (BOS)G241999-06-25Yes205 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------Lien
Ryan DonatoBruins (BOS)C/LW271996-04-09No192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,900,000$814,286$832,500$356,786$0$0$No1,900,000$--------No--------Lien
Spencer KnightBruins (BOS)G222001-04-18No193 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No------------------Lien
Tobias BjornfotBruins (BOS)D222001-04-06No202 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,052,500$451,071$1,052,500$451,071$0$0$No1,052,500$1,052,500$-------NoNo-------Lien
Zach SenyshynBruins (BOS)RW261997-03-30Yes205 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$750,000$750,000$------NoNoNo------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.65192 Lbs6 ft11.731,142,788$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoOskar SundqvistPierre Engvall35122
2Pius SuterJack McBainMartin Kaut30122
3David GustafssonNick CousinsIsak Rosen25122
4Oskar SundqvistJean-Sebastien DeaZach Senyshyn10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt GrzelcykArtem Zub35122
2Jakub ZborilChris Wideman30122
3Tobias BjornfotCam Dineen25122
4Matt GrzelcykArtem Zub10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoOskar SundqvistPierre Engvall60122
2Pius SuterJack McBainMartin Kaut40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt GrzelcykArtem Zub60122
2Jakub ZborilChris Wideman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Oskar SundqvistRyan Donato60122
2Pierre EngvallJack McBain40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt GrzelcykArtem Zub60122
2Jakub ZborilChris Wideman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oskar Sundqvist60122Matt GrzelcykArtem Zub60122
2Ryan Donato40122Jakub ZborilChris Wideman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oskar SundqvistRyan Donato60122
2Pierre EngvallJack McBain40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt GrzelcykArtem Zub60122
2Jakub ZborilChris Wideman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DonatoOskar SundqvistPierre EngvallMatt GrzelcykArtem Zub
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DonatoOskar SundqvistPierre EngvallMatt GrzelcykArtem Zub
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Akil Thomas, Nick Cousins, David GustafssonAkil Thomas, Nick CousinsDavid Gustafsson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tobias Bjornfot, Cam Dineen, Jakub ZborilTobias BjornfotCam Dineen, Jakub Zboril
Tirs de pénalité
Oskar Sundqvist, Ryan Donato, Pierre Engvall, Jack McBain, Pius Suter
Gardien
#1 : Spencer Knight, #2 : Joel Hofer
Lignes d’attaque personnalisées en prolongation
Oskar Sundqvist, Ryan Donato, Pierre Engvall, Jack McBain, Pius Suter, Nick Cousins, Nick Cousins, Martin Kaut, David Gustafsson, Jean-Sebastien Dea, Isak Rosen
Lignes de défense personnalisées en prolongation
Matt Grzelcyk, Artem Zub, Jakub Zboril, Chris Wideman, Tobias Bjornfot


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Monsters43100000954220000006242110000033060.750917260233309529303514813447827311.11%21290.48%17612461.29%519752.58%254555.56%1137983305227
Total43100000954220000006242110000033060.750917260233309529303514813447827311.11%21290.48%17612461.29%519752.58%254555.56%1137983305227
_Since Last GM Reset43100000954220000006242110000033060.750917260233309529303514813447827311.11%21290.48%17612461.29%519752.58%254555.56%1137983305227
_Vs Conference43100000954220000006242110000033060.750917260233309529303514813447827311.11%21290.48%17612461.29%519752.58%254555.56%1137983305227

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
46OTL191726954813447802
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
431000095
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000062
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000033
Derniers 10 matchs
WLOTWOTL SOWSOL
300100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
27311.11%21290.48%1
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
29303513330
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
7612461.29%519752.58%254555.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1137983305227


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
13Monsters0Bruins1WSommaire du match
311Monsters2Bruins5WSommaire du match
519Bruins1Monsters0WSommaire du match
727Bruins2Monsters3LXSommaire du match
935Monsters-Bruins-
1143Bruins-Monsters-
1351Monsters-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,971,249$ 2,724,833$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 6 0$ 0$




Bruins Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bruins Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bruins Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Bruins Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bruins Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA