Connexion

BruinsF
GP: 49 | W: 17 | L: 25 | OTL: 7 | P: 41
GF: 148 | GA: 179 | PP%: 19.84% | PK%: 76.26%
DG: Simon Gratton | Morale : 32 | Moyenne d’équipe : 61
Prochains matchs #795 vs Wolf Pack
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Centre de jeu
Phantoms
12-32-5, 29pts
5
FINAL
3 BruinsF
17-25-7, 41pts
Team Stats
W1SéquenceW1
6-14-5Fiche domicile11-12-2
6-18-0Fiche domicile6-13-5
3-6-1Derniers 10 matchs3-5-2
2.49Buts par match 3.02
4.02Buts contre par match 3.65
15.94%Pourcentage en avantage numérique19.84%
73.33%Pourcentage en désavantage numérique76.26%
Rocket
22-26-2, 46pts
2
FINAL
4 BruinsF
17-25-7, 41pts
Team Stats
L1SéquenceW1
11-12-1Fiche domicile11-12-2
11-14-1Fiche domicile6-13-5
5-5-0Derniers 10 matchs3-5-2
3.00Buts par match 3.02
3.20Buts contre par match 3.65
19.05%Pourcentage en avantage numérique19.84%
76.25%Pourcentage en désavantage numérique76.26%
BruinsF
17-25-7, 41pts
2023-12-10
Wolf Pack
23-26-2, 48pts
Statistiques d’équipe
W1SéquenceL1
11-12-2Fiche domicile12-11-1
6-13-5Fiche visiteur11-15-1
3-5-210 derniers matchs6-4-0
3.02Buts par match 2.98
3.65Buts contre par match 2.98
19.84%Pourcentage en avantage numérique17.65%
76.26%Pourcentage en désavantage numérique85.37%
Firebirds
30-19-1, 61pts
2023-12-12
BruinsF
17-25-7, 41pts
Statistiques d’équipe
L2SéquenceW1
17-7-1Fiche domicile11-12-2
13-12-0Fiche visiteur6-13-5
5-5-010 derniers matchs3-5-2
3.50Buts par match 3.02
3.18Buts contre par match 3.02
25.47%Pourcentage en avantage numérique19.84%
80.42%Pourcentage en désavantage numérique76.26%
BruinsF
17-25-7, 41pts
2023-12-14
Moose
21-22-6, 48pts
Statistiques d’équipe
W1SéquenceW2
11-12-2Fiche domicile11-11-3
6-13-5Fiche visiteur10-11-3
3-5-210 derniers matchs4-4-2
3.02Buts par match 3.20
3.65Buts contre par match 3.20
19.84%Pourcentage en avantage numérique19.02%
76.26%Pourcentage en désavantage numérique76.35%
Meneurs d'équipe
Buts
Linus Lindstrom
16
Passes
Peter Cehlarik
23
Points
Victor Rask
35
Plus/Moins
Lance Bouma
6
Victoires
Martin Ouellette
14
Pourcentage d’arrêts
Brandon Halverson
1

Statistiques d’équipe
Buts pour
148
3.02 GFG
Tirs pour
1387
28.31 Avg
Pourcentage en avantage numérique
19.8%
25 GF
Début de zone offensive
38.3%
Buts contre
179
3.65 GAA
Tirs contre
1531
31.24 Avg
Pourcentage en désavantage numérique
76.3%%
33 GA
Début de la zone défensive
41.5%
Informations de l'équipe

Directeur généralSimon Gratton
EntraîneurGerard Gallant
DivisionDivision Nord-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,169
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 55
Espoirs26


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
1Victor RaskX98.9956349669737285727670707468665455316503021,300,000$
2Artur GavrusX99.0055359272686366756872717068675955336502911,300,000$
3Joachim NermarkX100.0058418770716975687170676762655648376403021,000,000$
4Peter CehlarikX100.0064468972717271705969726863544957426402821,100,000$
5Philip LaneX100.0061448266747581656663637165787053446403111,500,000$
6Nicolas KerdilesX100.0072517869737273656268666472635450436302921,000,000$
7Lance BoumaX100.006046966973696868626462706066574233630331800,000$
8Austen BrassardX100.008667617272647363596363686363554538620302900,000$
9John QuennevilleX100.007045917570736970476262715556465744620272800,000$
10Samuel KurkerX100.006141876873636164636360705851505042600293700,000$
11Grant Mismash (R)X100.006650857268707065666263636345456044600243750,000$
12Olivier ArchambaultX100.004939907266707762606062616666604823600302800,000$
13Austin MadaiskyX100.0067447873727276724572716845686048416503111,700,000$
14Kristoffer BerglundX100.0060458670686672654564646760716339356303511,000,000$
15Matt DonovanX100.0067508669726866694568657063554843446303321,000,000$
16Shawn LalondeX100.0060458872716972704670696666565442446303321,000,000$
17Maxime Lajoie (R)X100.006544827270707066457064685645456031620263750,000$
18Mikael WikstrandX100.0063449169726664684563686963454556266203021,000,000$
Rayé
1Linus Lindstrom (R)X100.006445897266707066706467716045456042620253750,000$
2Juuso IkonenX100.006145947266726265596264646045455917600281500,000$
3Jack Kopacka (R)X100.006650857270707065666262636345456020600253750,000$
4Max GardinerX100.005538926669626661736254704560565218590311750,000$
5Sebastian CollbergX100.006645796871656365596063646055514920590293500,000$
6Keegan IversonX100.005745776375615963595959625745456120570272800,000$
7Julien NantelX100.005545595555535353575153585546455820500271750,000$
8Frederic Allard (R)X97.926544857268707066456664725645456019620253750,000$
9Petter GranbergX100.006346917073687067456462676053455318620312800,000$
10Keaton EllerbyX100.005843936871667067456564686063483819620352900,000$
11Josh Brook (R)X100.006650907270707060456463695745456020610243750,000$
12Eemeli Rasanen (R)X100.007054767275707059456057655045456020600243750,000$
MOYENNE D’ÉQUIPE99.80634585707068696657646467605651533161
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
1Martin Ouellette99.008369697072788077787777646444336403111,500,000$
2Jake Paterson100.00756666747378457878797551505426590293500,000$
Rayé
1Brandon Halverson100.00555353555553535353535455564919460272750,000$
MOYENNE D’ÉQUIPE99.6771636366677059697070695757492656
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant75728078999954CAN575100,000$


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
1Victor RaskBruinsF (Bos)C41132235-144020109122287710.66%1284320.58571226830001823253.48%113500000.8347000140
2Peter CehlarikBruinsF (Bos)RW49102333-1732106338133371107.52%890118.40279281060000103045.07%7100000.7317011312
3Linus LindstromBruinsF (Bos)C48161228-400764104265815.38%1065113.570222140001232051.84%70800000.8600000120
4Artur GavrusBruinsF (Bos)LW3691726-1220244687218210.34%670019.462249640000621040.00%16000100.7414000102
5Matt DonovanBruinsF (Bos)D4981826-15240785554175214.81%57105321.49448201110000106020%000000.4900000121
6Shawn LalondeBruinsF (Bos)D4971926-16220363362153611.29%62104921.42426281090000104010%000000.5000000200
7Philip LaneBruinsF (Bos)RW4991726460423810232838.82%980916.5122421102000040055.71%7000000.6415000201
8Austin MadaiskyBruinsF (Bos)D4851823-1347584488021346.25%68106622.212463195000185000%000000.4300000101
9Kristoffer BerglundBruinsF (Bos)D4431720-314032323722318.11%6096121.861561480000087000%100000.4200000010
10Juuso IkonenBruinsF (Bos)LW3591019140121058144315.52%552414.990114360002362031.03%2900000.7200000401
11Frederic AllardBruinsF (Bos)D3841418618040392952313.79%4566717.57011814000041010%000000.5400000001
12Maxime LajoieBruinsF (Bos)D3661117116045252181628.57%3664818.02011212000032010%000000.5200000112
13Grant MismashBruinsF (Bos)LW4961117160331952244611.54%358211.892022200000260048.57%3500000.5800000020
14Austen BrassardBruinsF (Bos)RW49610163681077387816577.69%564313.1300026000010050.00%5800000.5000011011
15Nicolas KerdilesBruinsF (Bos)LW4941216-1130084358919704.49%490918.57123171000002990138.27%8100000.3501000001
16John QuennevilleBruinsF (Bos)C499413-960274567185213.43%24599.3800020000181139.73%51100000.5700000002
17Joachim NermarkBruinsF (Bos)C266612-160154451184411.76%1050519.460337560001591051.00%59800000.4702000023
18Lance BoumaBruinsF (Bos)C268412600144866154112.12%645217.3900011510000510149.20%56100000.5300000103
19Samuel KurkerBruinsF (Bos)RW47639-46032134873412.50%83948.3900000000001033.33%2700000.4600000001
20Mikael WikstrandBruinsF (Bos)D24178-4201218237174.35%2040416.870003600009000%000000.4000000010
21Max GardinerBruinsF (Bos)C6022000163210%0355.9600000000020048.84%4300001.1200000000
22Patrick RussellBruinsRW2011000015030%03718.9401115000000028.57%700000.5300000000
23Petter GranbergBruinsF (Bos)D5000160222000%88016.120001000001000%00000000000000
24Jack KopackaBruinsF (Bos)LW3000-100132130%2248.080000000003000%00000000000000
25Keaton EllerbyBruinsF (Bos)D1000000001110%11818.630000000001000%00000000000000
26Olivier ArchambaultBruinsF (Bos)LW24000-3003711750%02028.4300000000000060.00%100000000000000
Statistiques d’équipe totales ou en moyenne882145258403-104319257848161387381101910.45%4471463016.5925446923910820009942141049.14%410500100.55726022181722
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
1Martin OuelletteBruinsF (Bos)38141640.9013.0520280110310450100.786143315220
2Jake PatersonBruinsF (Bos)203920.8524.6390700704740010.55691633000
3Brandon HalversonBruinsF (Bos)10011.000044000110000.500203000
Statistiques d’équipe totales ou en moyenne59172570.8873.482980011731530011254951220


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 Type Salaire actuel Plafond 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
Artur GavrusBruinsF (Bos)LW291994-01-03No175 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Austen BrassardBruinsF (Bos)RW301993-01-14No188 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Austin MadaiskyBruinsF (Bos)D311992-01-30No185 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Brandon HalversonBruinsF (Bos)G271996-03-29No203 Lbs6 ft4NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Eemeli RasanenBruinsF (Bos)D241999-03-06Yes223 Lbs6 ft6NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Frederic AllardBruinsF (Bos)D251997-12-27Yes179 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Grant MismashBruinsF (Bos)LW241999-02-19Yes186 Lbs6 ft0NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Jack KopackaBruinsF (Bos)LW251998-03-05Yes191 Lbs6 ft2NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Jake PatersonBruinsF (Bos)G291994-05-03No176 Lbs6 ft1NoNoN/ANoNo3Pro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------Lien
Joachim NermarkBruinsF (Bos)C301993-05-12No185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
John QuennevilleBruinsF (Bos)C271996-04-16No195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Josh BrookBruinsF (Bos)D241999-06-17Yes193 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Julien NantelBruinsF (Bos)RW271996-09-06No194 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Juuso IkonenBruinsF (Bos)LW281995-01-03No178 Lbs5 ft8NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Lien
Keaton EllerbyBruinsF (Bos)D351988-11-05No183 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Keegan IversonBruinsF (Bos)C271996-04-05No220 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Kristoffer BerglundBruinsF (Bos)D351988-08-12 12:01:24No181 Lbs5 ft9NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Lance BoumaBruinsF (Bos)C331990-03-25No207 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Linus LindstromBruinsF (Bos)C251998-01-08Yes165 Lbs6 ft0NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Martin OuelletteBruinsF (Bos)G311991-12-30No160 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Matt DonovanBruinsF (Bos)D331990-05-09No200 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Max GardinerBruinsF (Bos)C311992-05-07No204 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Maxime LajoieBruinsF (Bos)D261997-11-05Yes196 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Mikael WikstrandBruinsF (Bos)D301993-11-05No196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Nicolas KerdilesBruinsF (Bos)LW291994-01-11No200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Olivier ArchambaultBruinsF (Bos)LW301993-02-16No177 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Peter CehlarikBruinsF (Bos)RW281995-08-02No202 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Petter GranbergBruinsF (Bos)D311992-08-27No205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Philip LaneBruinsF (Bos)RW311992-05-29No203 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Samuel KurkerBruinsF (Bos)RW291994-04-08No202 Lbs6 ft2NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------Lien
Sebastian CollbergBruinsF (Bos)RW291994-02-23No196 Lbs5 ft11NoNoN/ANoNo3Pro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------Lien
Shawn LalondeBruinsF (Bos)D331990-03-10No205 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Victor RaskBruinsF (Bos)C301993-03-01No200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3328.97193 Lbs6 ft12.03906,061$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artur GavrusVictor RaskPeter Cehlarik34023
2Nicolas KerdilesJoachim NermarkPhilip Lane28023
3Grant MismashLance BoumaAusten Brassard23023
4Olivier ArchambaultJohn QuennevilleSamuel Kurker15032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Austin MadaiskyKristoffer Berglund37032
2Matt DonovanShawn Lalonde33032
3Maxime LajoieMikael Wikstrand30032
4Austin MadaiskyKristoffer Berglund0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artur GavrusVictor RaskPeter Cehlarik50014
2Nicolas KerdilesJoachim NermarkPhilip Lane50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Austin MadaiskyKristoffer Berglund50023
2Matt DonovanShawn Lalonde50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Victor RaskArtur Gavrus50032
2Joachim NermarkNicolas Kerdiles50032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Austin MadaiskyKristoffer Berglund50041
2Matt DonovanShawn Lalonde50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Victor Rask50050Austin MadaiskyKristoffer Berglund50050
2Joachim Nermark50050Matt DonovanShawn Lalonde50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Victor RaskArtur Gavrus50023
2Joachim NermarkNicolas Kerdiles50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Austin MadaiskyKristoffer Berglund50032
2Matt DonovanShawn Lalonde50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artur GavrusVictor RaskPeter CehlarikAustin MadaiskyKristoffer Berglund
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artur GavrusVictor RaskPeter CehlarikAustin MadaiskyKristoffer Berglund
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joachim Nermark, Nicolas Kerdiles, Lance BoumaJoachim Nermark, Nicolas KerdilesJoachim Nermark
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Shawn Lalonde, Maxime Lajoie, Mikael WikstrandShawn LalondeShawn Lalonde, Maxime Lajoie
Tirs de pénalité
Artur Gavrus, Victor Rask, Peter Cehlarik, Philip Lane, Joachim Nermark
Gardien
#1 : Martin Ouellette, #2 : Jake Paterson


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
1Admirals31200000610-40000000000031200000610-420.3336915015542478107475432459471003325578112.50%10190.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
2Americans20100001711-420100001711-40000000000010.250712190055424785947543245947782114293133.33%6183.33%0775157249.30%843170449.47%39982948.13%11007411235372649318
3Barracuda11000000321110000003210000000000021.00036900554247829475432459472854222150.00%2150.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
4Bears3110000110100110000004222010000168-230.50010182800554247895475432459471063212337228.57%6183.33%0775157249.30%843170449.47%39982948.13%11007411235372649318
5Checkers202000001013-300000000000202000001013-300.000102030005542478444754324594771121425200.00%6183.33%0775157249.30%843170449.47%39982948.13%11007411235372649318
6Condors1010000024-2000000000001010000024-200.00024600554247840475432459472778154125.00%40100.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
7Crunch2020000026-41010000012-11010000014-300.0002460055424785647543245947662124274125.00%12283.33%0775157249.30%843170449.47%39982948.13%11007411235372649318
8Eagles1000010034-1000000000001000010034-110.500358005542478174754324594736118911100.00%4175.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
9Firebirds2110000010100110000006511010000045-120.500101626005542478534754324594746710337228.57%5260.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
10Griffins1010000014-31010000014-30000000000000.0001230055424782147543245947328214300.00%10100.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
11Icehogs2010001047-31010000004-41000001043120.5004590055424784847543245947661912366233.33%60100.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
12Islanders201010006601010000034-11000100032120.500610160055424787547543245947691729419111.11%7271.43%0775157249.30%843170449.47%39982948.13%11007411235372649318
13Marlies21100000541110000004221010000012-120.50059140055424785147543245947672112363133.33%5260.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
14Monsters2020000059-4000000000002020000059-400.00059141055424784447543245947752518277114.29%8275.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
15Moose2020000028-62020000028-60000000000000.0002460055424784347543245947641212368112.50%6183.33%0775157249.30%843170449.47%39982948.13%11007411235372649318
16PenguinsF4220000012120211000006602110000066040.5001220320055424789547543245947114512851600.00%14657.14%0775157249.30%843170449.47%39982948.13%11007411235372649318
17Phantoms31100001141401010000035-221000001119230.5001425390055424788947543245947722719499333.33%8362.50%0775157249.30%843170449.47%39982948.13%11007411235372649318
18Reign1010000036-31010000036-30000000000000.0003580055424782747543245947337218100.00%10100.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
19Rocket32000100862210001005411100000032150.833815230055424788547543245947812521629222.22%8187.50%0775157249.30%843170449.47%39982948.13%11007411235372649318
20SenatorsF21100000550211000005500000000000020.500510150055424784047543245947532013275120.00%4175.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
21StarsF1000000156-1000000000001000000156-110.500591400554247832475432459473072162150.00%10100.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
22Thunderbirds1010000023-11010000023-10000000000000.0002460055424782347543245947384216300.00%110.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
23Wolf Pack3210000013103220000009451010000046-240.66713223500554247810747543245947972516499111.11%8362.50%0775157249.30%843170449.47%39982948.13%11007411235372649318
24Wolves20000020642200000206420000000000041.0006814005542478624754324594754198324125.00%40100.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
25Wranglers1000000145-1000000000001000000145-110.500471100554247845475432459472811424400.00%2150.00%0775157249.30%843170449.47%39982948.13%11007411235372649318
Total49132501235148179-3125912001217081-1124413011147898-20410.41814825840611554247813874754324594715314473197841262519.84%1393376.26%0775157249.30%843170449.47%39982948.13%11007411235372649318
_Since Last GM Reset49132501235148179-3125912001217081-1124413011147898-20410.41814825840611554247813874754324594715314473197841262519.84%1393376.26%0775157249.30%843170449.47%39982948.13%11007411235372649318
_Vs Conference34111601123110119-92088001216162-11438010024957-8320.471110193303005542478954475432459471038310232530851720.00%992673.74%0775157249.30%843170449.47%39982948.13%11007411235372649318
_Vs Division1943001016665193200101312561011000003540-5100.263661121781055424785674754324594758719613028251917.65%551769.09%0775157249.30%843170449.47%39982948.13%11007411235372649318

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4941W11482584061387153144731978411
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4913251235148179
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2591201217081
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2441311147898
Derniers 10 matchs
WLOTWOTL SOWSOL
250111
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1262519.84%1393376.26%0
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
475432459475542478
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
775157249.30%843170449.47%39982948.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11007411235372649318


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2023-08-258Firebirds5BruinsF6BWSommaire du match
3 - 2023-08-2722BruinsF1Admirals3ALSommaire du match
5 - 2023-08-2934BruinsF5Checkers7ALSommaire du match
6 - 2023-08-3045BruinsF3Admirals0AWSommaire du match
8 - 2023-09-0160Marlies2BruinsF4BWSommaire du match
11 - 2023-09-0480Wolves3BruinsF4BWXXSommaire du match
13 - 2023-09-0697BruinsF3Islanders2AWXSommaire du match
15 - 2023-09-08115Americans5BruinsF2BLSommaire du match
18 - 2023-09-11135SenatorsF3BruinsF2BLSommaire du match
19 - 2023-09-12147BruinsF3PenguinsF5ALSommaire du match
22 - 2023-09-15163BruinsF1Crunch4ALSommaire du match
24 - 2023-09-17181PenguinsF3BruinsF2BLSommaire du match
26 - 2023-09-19197BruinsF3Bears4ALSommaire du match
28 - 2023-09-21212Bears2BruinsF4BWSommaire du match
30 - 2023-09-23223BruinsF3Monsters5ALSommaire du match
33 - 2023-09-26242Moose4BruinsF1BLSommaire du match
36 - 2023-09-29265Americans6BruinsF5BLXXSommaire du match
38 - 2023-10-01280BruinsF5StarsF6ALXXSommaire du match
40 - 2023-10-03292BruinsF3Rocket2AWSommaire du match
42 - 2023-10-05306Crunch2BruinsF1BLSommaire du match
44 - 2023-10-07327BruinsF2Condors4ALSommaire du match
46 - 2023-10-09338SenatorsF2BruinsF3BWSommaire du match
48 - 2023-10-11360BruinsF5Checkers6ALSommaire du match
50 - 2023-10-13372PenguinsF3BruinsF4BWSommaire du match
54 - 2023-10-17396Barracuda2BruinsF3BWSommaire du match
57 - 2023-10-20421Moose4BruinsF1BLSommaire du match
58 - 2023-10-21431BruinsF6Phantoms3AWSommaire du match
61 - 2023-10-24450BruinsF3PenguinsF1AWSommaire du match
62 - 2023-10-25463Thunderbirds3BruinsF2BLSommaire du match
65 - 2023-10-28481BruinsF5Phantoms6ALXXSommaire du match
67 - 2023-10-30492Rocket2BruinsF1BLXSommaire du match
71 - 2023-11-03517Wolf Pack3BruinsF6BWSommaire du match
73 - 2023-11-05532BruinsF3Bears4ALXXSommaire du match
75 - 2023-11-07543BruinsF2Admirals7ALSommaire du match
77 - 2023-11-09556Islanders4BruinsF3BLSommaire du match
79 - 2023-11-11574BruinsF4Icehogs3AWXXSommaire du match
81 - 2023-11-13587Icehogs4BruinsF0BLSommaire du match
83 - 2023-11-15602BruinsF4Firebirds5ALSommaire du match
85 - 2023-11-17618Griffins4BruinsF1BLSommaire du match
88 - 2023-11-20644Wolves1BruinsF2BWXXSommaire du match
90 - 2023-11-22659BruinsF3Eagles4ALXSommaire du match
92 - 2023-11-24669BruinsF4Wolf Pack6ALSommaire du match
93 - 2023-11-25685Reign6BruinsF3BLSommaire du match
96 - 2023-11-28704BruinsF2Monsters4ALSommaire du match
97 - 2023-11-29717Wolf Pack1BruinsF3BWSommaire du match
100 - 2023-12-02737BruinsF4Wranglers5ALXXSommaire du match
102 - 2023-12-04748BruinsF1Marlies2ALSommaire du match
103 - 2023-12-05758Phantoms5BruinsF3BLSommaire du match
106 - 2023-12-08780Rocket2BruinsF4BWSommaire du match
108 - 2023-12-10795BruinsF-Wolf Pack-
110 - 2023-12-12810Firebirds-BruinsF-
112 - 2023-12-14822BruinsF-Moose-
114 - 2023-12-16842Islanders-BruinsF-
116 - 2023-12-18855BruinsF-Rocket-
119 - 2023-12-21873BruinsF-Marlies-
120 - 2023-12-22883Phantoms-BruinsF-
123 - 2023-12-25905BruinsF-SenatorsF-
124 - 2023-12-26915Silver Knights-BruinsF-
127 - 2023-12-29937BruinsF-Moose-
128 - 2023-12-30947Crunch-BruinsF-
131 - 2024-01-02962BruinsF-Islanders-
133 - 2024-01-04975BruinsF-Crunch-
134 - 2024-01-05987Marlies-BruinsF-
137 - 2024-01-081009Bears-BruinsF-
139 - 2024-01-101026BruinsF-Roadrunners-
141 - 2024-01-121039BruinsF-Wolves-
143 - 2024-01-141050Marlies-BruinsF-
144 - 2024-01-151061BruinsF-SenatorsF-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2024-01-181081Checkers-BruinsF-
151 - 2024-01-221103Checkers-BruinsF-
154 - 2024-01-251129Comets-BruinsF-
156 - 2024-01-271139BruinsF-Comets-
159 - 2024-01-301163Comets-BruinsF-
161 - 2024-02-011173BruinsF-Comets-
163 - 2024-02-031197Canucks-BruinsF-
167 - 2024-02-071223Gulls-BruinsF-
169 - 2024-02-091231BruinsF-Wolves-
172 - 2024-02-121254BruinsF-Firebirds-
174 - 2024-02-141261Iowa Wild-BruinsF-
175 - 2024-02-151266BruinsF-Americans-
178 - 2024-02-181286Iowa Wild-BruinsF-
181 - 2024-02-211307BruinsF-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3817
Assistance35,52418,706
Assistance PCT71.05%74.82%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 2169 - 72.31% 96,739$2,418,475$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,723,247$ 2,990,000$ 2,980,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,664,447$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,547,824$ 75 16,978$ 1,273,350$




BruinsF 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

BruinsF 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

BruinsF 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

BruinsF 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

BruinsF 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