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BruinsF
GP: 21 | W: 11 | L: 9 | OTL: 1 | P: 23
GF: 70 | GA: 67 | PP%: 26.56% | PK%: 81.03%
DG: Simon Gratton | Morale : 53 | Moyenne d’équipe : 61
Prochains matchs #354 vs Wolves
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Centre de jeu
Islanders
14-8-0, 28pts
5
FINAL
3 BruinsF
11-9-1, 23pts
Team Stats
W3SéquenceW1
5-6-0Fiche domicile6-5-0
9-2-0Fiche domicile5-4-1
7-3-0Derniers 10 matchs4-6-0
3.73Buts par match 3.33
3.18Buts contre par match 3.19
25.00%Pourcentage en avantage numérique26.56%
77.94%Pourcentage en désavantage numérique81.03%
BruinsF
11-9-1, 23pts
6
FINAL
4 Thunderbirds
7-14-1, 15pts
Team Stats
W1SéquenceL2
6-5-0Fiche domicile4-7-0
5-4-1Fiche domicile3-7-1
4-6-0Derniers 10 matchs4-6-0
3.33Buts par match 2.77
3.19Buts contre par match 3.86
26.56%Pourcentage en avantage numérique20.31%
81.03%Pourcentage en désavantage numérique82.76%
BruinsF
11-9-1, 23pts
2024-10-22
Wolves
7-9-4, 18pts
Statistiques d’équipe
W1SéquenceL2
6-5-0Fiche domicile4-5-2
5-4-1Fiche visiteur3-4-2
4-6-010 derniers matchs4-3-3
3.33Buts par match 2.85
3.19Buts contre par match 2.85
26.56%Pourcentage en avantage numérique17.91%
81.03%Pourcentage en désavantage numérique78.67%
PenguinsF
10-12-1, 21pts
2024-10-23
BruinsF
11-9-1, 23pts
Statistiques d’équipe
L1SéquenceW1
5-6-0Fiche domicile6-5-0
5-6-1Fiche visiteur5-4-1
5-5-010 derniers matchs4-6-0
3.57Buts par match 3.33
3.65Buts contre par match 3.33
25.64%Pourcentage en avantage numérique26.56%
76.06%Pourcentage en désavantage numérique81.03%
Admirals
10-9-3, 23pts
2024-10-26
BruinsF
11-9-1, 23pts
Statistiques d’équipe
SOW1SéquenceW1
5-4-2Fiche domicile6-5-0
5-5-1Fiche visiteur5-4-1
3-5-210 derniers matchs4-6-0
3.32Buts par match 3.33
3.36Buts contre par match 3.33
21.54%Pourcentage en avantage numérique26.56%
78.79%Pourcentage en désavantage numérique81.03%
Meneurs d'équipe
Buts
Linus Lindstrom
8
Passes
Shawn Lalonde
11
Points
Shawn Lalonde
15
Plus/Moins
Joachim Nermark
6
Victoires
Casey DeSmith
10
Pourcentage d’arrêts
Casey DeSmith
0.911

Statistiques d’équipe
Buts pour
70
3.33 GFG
Tirs pour
642
30.57 Avg
Pourcentage en avantage numérique
26.6%
17 GF
Début de zone offensive
40.0%
Buts contre
67
3.19 GAA
Tirs contre
692
32.95 Avg
Pourcentage en désavantage numérique
81.0%%
11 GA
Début de la zone défensive
42.0%
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
Assistance2,206
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 56
Espoirs23


Historique d'équipe

Saison actuelle11-9-1 (23PTS)
Historique37-50-15 (0.363%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Marko DanoX100.0060449372707776707167707068665756476502911,250,000$
2Joachim NermarkX100.0058418870717174687369676962675747576403111,000,000$
3Patrick RussellXX97.0069458572717386676369687361645047586403111,200,000$
4Luke PhilpXX100.006645827267727469656566726454495458620281900,000$
5Cole Fonstad (R)X100.006045907265707069726868666245457058620243750,000$
6Austen BrassardXX97.968766597272657562616263686266564233620311900,000$
7Linus LindstromX99.006245917266707268726469736048466058620262750,000$
8Juuso IkonenXX100.006045947266726466606365656047465658600293700,000$
9Samuel KurkerXX100.006241886873616364626261715854504958600302700,000$
10Grant MismashXX100.006549867268697264676262636248456043600252750,000$
11Jack KopackaXX100.006449877270686864676060656245456032600262750,000$
12Olivier ArchambaultXX100.004839927266687660625860596568604558600311800,000$
13Matt DonovanX100.0068528769727068684568666862584939586303411,000,000$
14TJ BrennanX100.006546936873676969456666716451463430630351800,000$
15Shawn LalondeX100.0060458972717174694570696565595538586303411,000,000$
16Mikael WikstrandX100.0062449169726564674563676962474553546203011,000,000$
17Josh BrookX100.006549897270696959456362685745456043610252750,000$
18Keaton EllerbyX100.005743946871656865456462666063483429610351900,000$
Rayé
1Nicolas KerdilesXX52.4674527969737475646167656372665547486303011,000,000$
2John QuennevilleX100.006946917570717169466164695559465658620281800,000$
3Sebastian CollbergXX100.006545786871646264596062636055514629590302500,000$
4Keegan IversonX100.005745766375605962595959615745455829560281800,000$
5Petter GranbergX98.426245907073676866456360686053455027610321800,000$
6Eemeli RasanenX100.006953757275696958456057645045456029590252750,000$
MOYENNE D’ÉQUIPE97.63644786717069706558646467615549514661
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
1Casey DeSmith98.007885837579778581828575676746526703311,800,000$
2Jake Paterson100.00756767747376457676777652515158580302500,000$
Rayé
1Brandon Halverson100.00555251555551515151515655574834450281750,000$
MOYENNE D’ÉQUIPE99.3369686768696860697071695858484857
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant73758383999951CAN584100,000$


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
1Maxime LajoieBruinsD174141816025142791714.81%1736621.55235841000035100%000000.9800000002
2Peter CehlarikBruinsLW/RW178715560191759114713.56%132118.88101938000001144.44%2700010.9301000220
3Shawn LalondeBruinsF (Bos)D2141115-1120152132142412.50%3147622.713361850011145010%000000.6300000011
4Luke PhilpBruinsF (Bos)LW/RW216814-660161860164010.00%637517.902351155000082045.45%3300000.7400000010
5Joachim NermarkBruinsF (Bos)C1759146008404393011.63%232719.25022438000012055.63%43500000.8611000111
6Cole FonstadBruinsF (Bos)C215914-62054044265011.36%235316.813581254000000049.12%45200000.7900000000
7Matt DonovanBruinsF (Bos)D2141014-116023172782114.81%3047822.802461348101146110%000000.5800000012
8Linus LindstromBruinsF (Bos)C21851320093052142715.38%331615.08011240000491053.56%37900110.8200000100
9Patrick RussellBruinsF (Bos)LW/RW215813410030265516569.09%843620.7801110480003440053.33%3000100.6001000100
10Marko DanoBruinsF (Bos)C1654914093644142711.36%528117.561121040000000055.83%36000000.6400000020
11Nicolas KerdilesBruinsF (Bos)LW/RW21268-7604613349365.88%240319.221234540002490130.77%2600000.4001000010
12Frederic AllardBruinsD15347-180181629111810.34%2732721.811121234000036000%000000.4300000030
13John QuennevilleBruinsF (Bos)C21347-42017133216289.38%324011.45000020111500033.55%30400000.5800000010
14Juuso IkonenBruinsF (Bos)LW/RW21347-200414357358.57%626112.4400007000000143.75%1600000.5400000000
15Josh BrookBruinsF (Bos)D13066-612095174120%1323418.05022719000015000%000000.5100000000
16Samuel KurkerBruinsF (Bos)LW/RW21246080109236228.70%41698.0500000000000062.50%800000.7100000000
17Mikael WikstrandBruinsF (Bos)D21145-31752115168106.25%2733816.1301114000016000%000000.3000000001
18Grant MismashBruinsF (Bos)LW/RW13224-1801741431414.29%116212.4810114000002040.00%1500000.4900000011
19Olivier ArchambaultBruinsF (Bos)LW/RW21314000411531420.00%01537.3100000000001030.77%1300000.5200000001
20Keaton EllerbyBruinsF (Bos)D13033200844250%921216.3801111300006000%000000.2800000000
21Keegan IversonBruinsF (Bos)C1011100000000%01111.8200000000050048.00%2500001.6900000000
22Austen BrassardBruinsF (Bos)LW/RW10000-12152148580%011311.3000002000000022.22%90000000001000
23Petter GranbergBruinsF (Bos)D1000000000000%111.820000000000000%00000000000000
24Jack KopackaBruinsF (Bos)LW/RW2000000103010%0126.37000000000000100.00%10000000000000
25Eemeli RasanenBruinsF (Bos)D1000020510000%11919.680000000004000%00000000000000
26TJ BrennanBruinsF (Bos)D3000160333030%25117.190000000001000%00000000000000
Statistiques d’équipe totales ou en moyenne39173124197-161521034336167621154510.80%201644716.49173047123563123841811549.60%213300220.61140015149
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
1Casey DeSmithBruinsF (Bos)1910710.9112.90109642535980100.5004191411
2Jake PatersonBruinsF (Bos)41200.8833.671470097700000219000
3Brandon HalversonBruinsF (Bos)10000.7659.2326004170000001000
Statistiques d’équipe totales ou en moyenne2411910.9053.121270426669201042121411


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
Austen BrassardBruinsF (Bos)LW/RW311993-01-14No188 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Brandon HalversonBruinsF (Bos)G281996-03-29No203 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Casey DeSmithBruinsF (Bos)G331991-08-13No181 Lbs6 ft0NoNoFree AgentNoNo12024-07-10Pro & Farm1,800,000$0$0$No------------------Lien
Cole FonstadBruinsF (Bos)C242000-04-24Yes165 Lbs5 ft10NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Eemeli RasanenBruinsF (Bos)D251999-03-06No223 Lbs6 ft6NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Grant MismashBruinsF (Bos)LW/RW251999-02-19No186 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Jack KopackaBruinsF (Bos)LW/RW261998-03-05No191 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Jake PatersonBruinsF (Bos)G301994-05-03No176 Lbs6 ft1NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien
Joachim NermarkBruinsF (Bos)C311993-05-12No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
John QuennevilleBruinsF (Bos)C281996-04-16No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Josh BrookBruinsF (Bos)D251999-06-17No193 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Juuso IkonenBruinsF (Bos)LW/RW291995-01-03No178 Lbs5 ft8NoNoN/ANoNo32024-04-29Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------Lien
Keaton EllerbyBruinsF (Bos)D351988-11-05No183 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Keegan IversonBruinsF (Bos)C281996-04-05No220 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Linus LindstromBruinsF (Bos)C261998-01-08No165 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Luke PhilpBruinsF (Bos)LW/RW281995-11-06No181 Lbs5 ft10NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Marko DanoBruinsF (Bos)C291994-11-30No201 Lbs5 ft11NoNoTrade2024-10-14NoNo1Pro & Farm1,250,000$0$0$No------------------Lien
Matt DonovanBruinsF (Bos)D341990-05-09No200 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Mikael WikstrandBruinsF (Bos)D301993-11-05No196 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Nicolas Kerdiles (sur la masse salariale)BruinsF (Bos)LW/RW301994-01-11No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$0$0$Yes------------------Lien
Olivier ArchambaultBruinsF (Bos)LW/RW311993-02-16No177 Lbs5 ft11NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Patrick RussellBruinsF (Bos)LW/RW311993-01-04No203 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Petter GranbergBruinsF (Bos)D321992-08-27No205 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Samuel KurkerBruinsF (Bos)LW/RW301994-04-08No202 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Sebastian CollbergBruinsF (Bos)LW/RW301994-02-23No196 Lbs5 ft11NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien
Shawn LalondeBruinsF (Bos)D341990-03-10No205 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
TJ BrennanBruinsF (Bos)D351989-04-03No213 Lbs6 ft1NoNoTrade2024-10-14NoNo12024-07-24Pro & Farm800,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2729.56193 Lbs6 ft11.44874,074$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Austen BrassardMarko DanoPatrick Russell33023
2Jack KopackaJoachim NermarkLuke Philp29023
3Grant MismashCole FonstadJuuso Ikonen24023
4Samuel KurkerLinus LindstromOlivier Archambault14032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shawn LalondeMatt Donovan37032
2TJ BrennanKeaton Ellerby33032
3Mikael WikstrandJosh Brook30032
4Shawn LalondeMatt Donovan0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juuso IkonenMarko DanoPatrick Russell50014
2Austen BrassardJoachim NermarkLuke Philp50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shawn LalondeMatt Donovan50023
2Josh BrookKeaton Ellerby50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Linus LindstromPatrick Russell50041
2Cole FonstadAusten Brassard50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shawn LalondeMatt Donovan50041
2Mikael WikstrandJosh Brook50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Linus Lindstrom50050Shawn LalondeMatt Donovan50050
2Cole Fonstad50050Mikael WikstrandJosh Brook50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Marko DanoPatrick Russell50023
2Joachim NermarkAusten Brassard50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shawn LalondeMatt Donovan50023
2TJ BrennanKeaton Ellerby50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Austen BrassardMarko DanoPatrick RussellShawn LalondeMatt Donovan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Luke PhilpLinus LindstromPatrick RussellTJ BrennanMatt Donovan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Kurker, Linus Lindstrom, Austen BrassardGrant Mismash, Linus LindstromAusten Brassard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikael Wikstrand, Josh Brook, TJ BrennanMikael WikstrandTJ Brennan, Matt Donovan
Tirs de pénalité
Olivier Archambault, Patrick Russell, Linus Lindstrom, Austen Brassard, Luke Philp
Gardien
#1 : Casey DeSmith, #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
1Americans211000001156110000007071010000045-120.5001118290122222259822119821611731912459444.44%50100.00%037373550.75%36277146.95%16733150.45%481326515161275134
2Checkers3030000049-52020000035-21010000014-300.00047110022222256522119821611135386046400.00%16475.00%037373550.75%36277146.95%16733150.45%481326515161275134
3Comets1000000123-1000000000001000000123-110.500246002222225302211982161141124182150.00%20100.00%137373550.75%36277146.95%16733150.45%481326515161275134
4Crunch22000000725110000002021100000052341.00071118012222225542211982161154208326233.33%40100.00%037373550.75%36277146.95%16733150.45%481326515161275134
5Firebirds11000000532110000005320000000000021.0005101500222222532221198216112962143133.33%10100.00%037373550.75%36277146.95%16733150.45%481326515161275134
6Islanders3120000057-22020000036-31100000021120.333510150022222258622119821611842012568112.50%6183.33%037373550.75%36277146.95%16733150.45%481326515161275134
7Marlies20101000812-41010000038-51000100054120.500812200022222256122119821611792616275120.00%8275.00%037373550.75%36277146.95%16733150.45%481326515161275134
8Moose11000000532110000005320000000000021.000591400222222527221198216112272135240.00%000%037373550.75%36277146.95%16733150.45%481326515161275134
9Rocket200020001082100010004311000100065141.0001018280022222257022119821611551912327342.86%6266.67%037373550.75%36277146.95%16733150.45%481326515161275134
10SenatorsF1010000024-2000000000001010000024-200.00023500222222529221198216112511818200.00%30100.00%037373550.75%36277146.95%16733150.45%481326515161275134
11Thunderbirds2110000078-1000000000002110000078-120.500712190022222256822119821611701510299111.11%4175.00%037373550.75%36277146.95%16733150.45%481326515161275134
12Wolves10001000431100010004310000000000021.00046100022222252222119821611255664125.00%3166.67%037373550.75%36277146.95%16733150.45%481326515161275134
Total21790400170673114502000363151034020013436-2230.5487012019002222222564222119821611692198152336641726.56%581181.03%137373550.75%36277146.95%16733150.45%481326515161275134
_Since Last GM Reset21790400170673114502000363151034020013436-2230.5487012019002222222564222119821611692198152336641726.56%581181.03%137373550.75%36277146.95%16733150.45%481326515161275134
_Vs Conference1968040016359411450200036315823020012728-1210.5536310817102222222557422119821611622183142307551629.09%541081.48%137373550.75%36277146.95%16733150.45%481326515161275134
_Vs Division513030001113-23110100079-22020200044080.8001120310022222251382211982161115037228014321.43%11281.82%137373550.75%36277146.95%16733150.45%481326515161275134

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2123W17012019064269219815233602
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
217940017067
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
114520003631
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
103420013436
Derniers 10 matchs
WLOTWOTL SOWSOL
361000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
641726.56%581181.03%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
221198216112222225
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
37373550.75%36277146.95%16733150.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
481326515161275134


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
2 - 2024-09-0414BruinsF6Rocket5AWXSommaire du match
4 - 2024-09-0624Crunch0BruinsF2BWSommaire du match
6 - 2024-09-0840BruinsF2Comets3ALXXSommaire du match
8 - 2024-09-1053Moose3BruinsF5BWSommaire du match
11 - 2024-09-1374Firebirds3BruinsF5BWSommaire du match
13 - 2024-09-1596Checkers3BruinsF2BLSommaire du match
15 - 2024-09-17108BruinsF5Marlies4AWXSommaire du match
17 - 2024-09-19119BruinsF5Crunch2AWSommaire du match
19 - 2024-09-21140Marlies8BruinsF3BLSommaire du match
22 - 2024-09-24162Rocket3BruinsF4BWXSommaire du match
24 - 2024-09-26177BruinsF1Checkers4ALSommaire du match
26 - 2024-09-28193BruinsF2SenatorsF4ALSommaire du match
28 - 2024-09-30203Americans0BruinsF7BWSommaire du match
29 - 2024-10-01216BruinsF4Americans5ALSommaire du match
33 - 2024-10-05235Islanders1BruinsF0BLSommaire du match
37 - 2024-10-09260Wolves3BruinsF4BWXSommaire du match
39 - 2024-10-11274BruinsF2Islanders1AWSommaire du match
41 - 2024-10-13293Checkers2BruinsF1BLSommaire du match
44 - 2024-10-16309BruinsF1Thunderbirds4ALSommaire du match
46 - 2024-10-18327Islanders5BruinsF3BLSommaire du match
48 - 2024-10-20339BruinsF6Thunderbirds4AWSommaire du match
50 - 2024-10-22354BruinsF-Wolves-
51 - 2024-10-23366PenguinsF-BruinsF-
54 - 2024-10-26389Admirals-BruinsF-
56 - 2024-10-28400BruinsF-Eagles-
58 - 2024-10-30412BruinsF-Iowa Wild-
60 - 2024-11-01422BruinsF-Silver Knights-
61 - 2024-11-02436Rocket-BruinsF-
64 - 2024-11-05455BruinsF-Monsters-
66 - 2024-11-07467Marlies-BruinsF-
69 - 2024-11-10487BruinsF-Gulls-
71 - 2024-11-12500BruinsF-Comets-
72 - 2024-11-13507Phantoms-BruinsF-
75 - 2024-11-16530Condors-BruinsF-
78 - 2024-11-19554BruinsF-Canucks-
79 - 2024-11-20565PenguinsF-BruinsF-
81 - 2024-11-22581BruinsF-SenatorsF-
83 - 2024-11-24596Moose-BruinsF-
86 - 2024-11-27618Moose-BruinsF-
87 - 2024-11-28626BruinsF-Admirals-
90 - 2024-12-01650Americans-BruinsF-
92 - 2024-12-03664BruinsF-Marlies-
94 - 2024-12-05674BruinsF-Americans-
96 - 2024-12-07690BruinsF-Crunch-
97 - 2024-12-08699Roadrunners-BruinsF-
100 - 2024-12-11720Admirals-BruinsF-
102 - 2024-12-13736BruinsF-Icehogs-
104 - 2024-12-15748BruinsF-Islanders-
106 - 2024-12-17761Comets-BruinsF-
109 - 2024-12-20784Wolves-BruinsF-
112 - 2024-12-23804BruinsF-Bears-
114 - 2024-12-25817Comets-BruinsF-
116 - 2024-12-27831BruinsF-Moose-
118 - 2024-12-29849BruinsF-Phantoms-
119 - 2024-12-30856Barracuda-BruinsF-
122 - 2025-01-02879BruinsF-Phantoms-
124 - 2025-01-04887Phantoms-BruinsF-
126 - 2025-01-06907BruinsF-Bears-
127 - 2025-01-07918StarsF-BruinsF-
131 - 2025-01-11946Bears-BruinsF-
133 - 2025-01-13962BruinsF-Moose-
134 - 2025-01-14967BruinsF-Wolves-
137 - 2025-01-17986SenatorsF-BruinsF-
139 - 2025-01-191009Wranglers-BruinsF-
140 - 2025-01-201013BruinsF-Wolf Pack-
143 - 2025-01-231039BruinsF-PenguinsF-
145 - 2025-01-251051SenatorsF-BruinsF-
148 - 2025-01-281074Firebirds-BruinsF-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-01-301094BruinsF-Griffins-
151 - 2025-01-311097BruinsF-Firebirds-
153 - 2025-02-021112Crunch-BruinsF-
156 - 2025-02-051135BruinsF-Rocket-
158 - 2025-02-071143Eagles-BruinsF-
160 - 2025-02-091160BruinsF-Wolf Pack-
163 - 2025-02-121178Bears-BruinsF-
164 - 2025-02-131187BruinsF-Firebirds-
167 - 2025-02-161207Wolf Pack-BruinsF-
172 - 2025-02-211234Wolf Pack-BruinsF-
173 - 2025-02-221244BruinsF-PenguinsF-
177 - 2025-02-261266BruinsF-Checkers-
179 - 2025-02-281279Crunch-BruinsF-
182 - 2025-03-031298Reign-BruinsF-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3817
Assistance15,8008,466
Assistance PCT71.82%76.96%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2206 - 73.53% 100,822$1,109,040$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
646,608$ 2,260,000$ 3,140,001$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 620,107$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,024,655$ 136 12,757$ 1,734,952$




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
1Peter Cehlarik99254469-2650126902779.03%13185318.73415195300014239.25%10.74313
2Shawn Lalonde103134558-254077881359.63%130224021.758917630111020%00.5200
3Matt Donovan103144357-298213810112011.67%119221021.4681523521011130%00.5200
4Maxime Lajoie7512364824490576717.91%80140018.67358140110110%00.6900
5Linus Lindstrom88272148-922512418814.36%18121513.81044600014051.92%10.7901

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
1Martin Ouellette59202680.9003.1732224117016950300.70824
2Casey DeSmith1910710.9112.90109642535980100.5004
3Jake Paterson3561550.8674.141668201158670110.66715
4Brandon Halverson61220.8104.8027500221160000.5002

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
Saison régulière
1582204101659238304-6641111800444112138-264192301215126166-40672384156531192677310233978774377775258574854913002244720.98%2365178.39%11308267348.93%1384282648.97%654138147.36%1854124720526241091536
1621790400170673114502000363151034020013436-2237012019002222222564222119821611692198152336641726.56%581181.03%137373550.75%36277146.95%16733150.45%481326515161275134
Total Saison régulière1032750056510308371-6352152302444148169-2151122703216160202-4290308535843131148995152981100894199386327794670116362886422.22%2946278.91%21681340849.33%1746359748.54%821171247.96%2336157325687861366671
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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