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Belleville Senators
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Lino | Morale : 40 | Moyenne d’équipe : 59
Prochains matchs #6 vs Rochester Americans
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Belleville Senators
0-0-0, 0pts
Jour 1
Rochester Americans
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Belleville Senators
0-0-0, 0pts
Jour 3
Utica Comets
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Cleveland Monsters
0-0-0, 0pts
Jour 4
Belleville Senators
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralLino
EntraîneurBrian Wiseman
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 70
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 moyen
1Alex Formenton0X100.00676579706768776352666563515455037650251775,000$
2Matthew Highmore0X100.00585472626467686354646164586258040630281775,000$
3Egor Sokolov0XX100.00615267617767635954625957615655040610241775,000$
4Cole Reinhardt0XXX100.00565762616767665955585860555654040600241775,000$
5Oskar Pettersson (R)0XX100.00606060606060606060606060606060040600201775,000$
6Bokondji Imama0XX100.00595560567164645655565660546358040590281775,000$
7Roby Jarventie0XXX100.005656656069646259555759595453520405902211,100,000$
8Rourke Chartier0X100.00555570596361605769575961596358040590281775,000$
9Ridly Greig0X100.005853655861605858636158595454540405902241,900,000$
10Angus Crookshank0XXX100.00555962615864626055576156545855040590251775,000$
11Jacob Bernard-Docker0X100.005858705865666154405855675456540406002431,100,000$
12Tyler Kleven0X100.005438755271685551387250675151550406002211,100,000$
13Tomas Hamara (R)0X100.00606060606060606060606060606060040600201775,000$
14Djibril Toure (R)0X100.00606060606060606060606060606060040600211775,000$
15Dillon Heatherington0X100.00565565587165635640565562546559040590291775,000$
16Jacob Larsson0X100.00575365586565635640575561546257037590271775,000$
17Lassi Thomson0X100.00555565596364625940585759545654040590241775,000$
18Maxence Guenette0X100.00555567606567645940605658545553040590231775,000$
Rayé
1Garrett Pilon0XX100.00555566606164635960575862546056040590261775,000$
2Brennan Saulnier0X100.00585562555861615666565662546961040580311775,000$
3Jarid Lukosevicius0XX100.00545567596164625655555760546559040580291775,000$
4Graham McPhee0XXX100.00565465566261605555555461546056040570261775,000$
5Matthew Boucher0XXX100.00565566565761605655555562546257040570271775,000$
6Philippe Daoust0X100.00545468555956555570555561545553040560231775,000$
7Tarun Fizer0XX100.00555468545654545455545461545553040550231775,000$
8Kyle Betts0X100.00515164535859575167515157515954040540271775,000$
9Josh Currie0X100.00515151515151515151515151515151040510321775,000$
10Donovan Sebrango0X100.00555667566463615540555559545352040570221775,000$
11Ryan MacKinnon0X100.00545468556458575440555460546760040570301775,000$
12Jorian Donovan0X100.00515165515851515138515157514848040520201775,000$
MOYENNE D’ÉQUIPE100.0056556658636261575358576055585604058
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 moyen
1Mads Sogaard0100.0062636386706670626764655654040660241775,000$
2Kevin Mandolese0100.0059585973645765606158625653040610241775,000$
Rayé
1Leevi Merilainen0100.0058525269615561585752595049040570221775,000$
MOYENNE D’ÉQUIPE100.006058587665596560625862545204061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brian Wiseman67717568767075CAN517500,000$


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
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


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
Alex FormentonBelleville Senators (OTT)C2513.09.1999No89 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Angus CrookshankBelleville Senators (OTT)C/LW/RW2502.10.1999No82 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Bokondji ImamaBelleville Senators (OTT)LW/RW2803.08.1996No100 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Brennan SaulnierBelleville Senators (OTT)C3129.12.1993No77 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Cole ReinhardtBelleville Senators (OTT)C/LW/RW2401.02.2000No94 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Dillon HeatheringtonBelleville Senators (OTT)D2909.05.1995No98 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Djibril ToureBelleville Senators (OTT)D2105.06.2003Yes92 Kg201 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Donovan SebrangoBelleville Senators (OTT)D2212.01.2002No88 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Egor SokolovBelleville Senators (OTT)LW/RW2407.06.2000No101 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Garrett PilonBelleville Senators (OTT)LW/RW2613.04.1998No85 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Graham McPheeBelleville Senators (OTT)C/LW/RW2624.07.1998No87 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Jacob Bernard-DockerBelleville Senators (OTT)D2430.06.2000No86 Kg183 CMNoNoN/ANoNo3FalseFalsePro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No1,100,000$1,100,000$-------NoNo-------Lien
Jacob LarssonBelleville Senators (OTT)D2729.04.1997No88 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Jarid LukoseviciusBelleville Senators (OTT)LW/RW2905.02.1995No88 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Jorian DonovanBelleville Senators (OTT)D2005.04.2004No83 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Josh CurrieBelleville Senators (OTT)C3229.10.1992No86 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Kevin MandoleseBelleville Senators (OTT)G2422.08.2000No82 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Kyle BettsBelleville Senators (OTT)C2717.09.1997No82 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Lassi ThomsonBelleville Senators (OTT)D2424.09.2000No86 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Leevi MerilainenBelleville Senators (OTT)G2213.08.2002No72 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Mads SogaardBelleville Senators (OTT)G2413.12.2000No89 Kg201 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien / Lien NHL
Matthew BoucherBelleville Senators (OTT)C/LW/RW2717.12.1997No79 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Matthew HighmoreBelleville Senators (OTT)C2827.02.1996No85 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Maxence GuenetteBelleville Senators (OTT)D2328.04.2001No82 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Oskar PetterssonBelleville Senators (OTT)LW/RW2004.02.2004Yes90 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Philippe DaoustBelleville Senators (OTT)C2305.11.2001No82 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Ridly GreigBelleville Senators (OTT)C2208.08.2002No83 Kg183 CMNoNoN/ANoNo4FalseFalsePro & Farm1,900,000$1,900,000$1,900,000$1,900,000$0$0$No1,900,000$1,900,000$1,900,000$------NoNoNo------Lien
Roby JarventieBelleville Senators (OTT)C/LW/RW2208.08.2002No97 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No------------------Lien
Rourke ChartierBelleville Senators (OTT)C2803.04.1996No86 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Ryan MacKinnonBelleville Senators (OTT)D3005.09.1994No91 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Tarun FizerBelleville Senators (OTT)LW/RW2301.03.2001No76 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Tomas HamaraBelleville Senators (OTT)D2009.03.2004Yes84 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Tyler KlevenBelleville Senators (OTT)D2210.01.2002No91 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3324.9187 Kg185 CM1.15838,636$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor SokolovAlex FormentonOskar Pettersson33122
2Cole ReinhardtMatthew HighmoreAngus Crookshank30122
3Roby JarventieRidly GreigBokondji Imama25122
4Alex FormentonRourke ChartierMatthew Highmore12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler KlevenTomas Hamara33122
2Jacob Bernard-DockerDjibril Toure30122
3Maxence GuenetteLassi Thomson25122
4Jacob LarssonDillon Heatherington12122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor SokolovAlex FormentonOskar Pettersson50122
2Cole ReinhardtMatthew HighmoreAngus Crookshank50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler KlevenTomas Hamara50122
2Jacob Bernard-DockerDjibril Toure50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex FormentonMatthew Highmore50122
2Egor SokolovOskar Pettersson50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler KlevenTomas Hamara50122
2Jacob Bernard-DockerDjibril Toure50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Formenton50122Tyler KlevenTomas Hamara50122
2Matthew Highmore50122Jacob Bernard-DockerDjibril Toure50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex FormentonMatthew Highmore50122
2Egor SokolovOskar Pettersson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler KlevenTomas Hamara50122
2Jacob Bernard-DockerDjibril Toure50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Egor SokolovAlex FormentonOskar PetterssonTyler KlevenTomas Hamara
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Egor SokolovAlex FormentonOskar PetterssonTyler KlevenTomas Hamara
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ridly Greig, Rourke Chartier, Roby JarventieRidly Greig, Rourke ChartierRoby Jarventie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxence Guenette, Lassi Thomson, Jacob LarssonMaxence GuenetteLassi Thomson, Jacob Larsson
Tirs de pénalité
Alex Formenton, Matthew Highmore, Egor Sokolov, Oskar Pettersson, Cole Reinhardt
Gardien
#1 : Mads Sogaard, #2 : Kevin Mandolese
Lignes d’attaque personnalisées en prolongation
Alex Formenton, Matthew Highmore, Egor Sokolov, Oskar Pettersson, Cole Reinhardt, Angus Crookshank, Angus Crookshank, Ridly Greig, Rourke Chartier, Roby Jarventie, Bokondji Imama
Lignes de défense personnalisées en prolongation
Tyler Kleven, Tomas Hamara, Jacob Bernard-Docker, Djibril Toure, Maxence Guenette


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
16Belleville Senators-Rochester Americans-
322Belleville Senators-Utica Comets-
430Cleveland Monsters-Belleville Senators-
751Toronto Marlies-Belleville Senators-
970Belleville Senators-Calgary Wranglers-
1084Belleville Senators-Toronto Marlies-
1294Calgary Wranglers-Belleville Senators-
14117Rochester Americans-Belleville Senators-
16130Belleville Senators-Cleveland Monsters-
18140Belleville Senators-Laval Rocket-
20156Utica Comets-Belleville Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
22177Laval Rocket-Belleville Senators-
26197Belleville Senators-Syracuse Crunch-
28214Syracuse Crunch-Belleville Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
7 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,767,500$ 2,767,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
92,250$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 30 108,917$ 3,267,510$




Belleville Senators 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

Belleville Senators 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

Belleville Senators 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

Belleville Senators 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

Belleville Senators 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