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Belleville Senators
GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 6
GF: 17 | GA: 17 | PP%: 42.86% | PK%: 70.59%
DG: Cedric St-Pierre | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #93 vs Colorado Eagles

Centre de jeu
Belleville Senators
3-2-0, 6pts
1
3 Bakersfield Condors
3-2-0, 6pts
Team Stats
L2SéquenceL1
2-1-0Fiche domicile2-1-0
1-1-0Fiche domicile1-1-0
3-2-0Derniers 10 matchs3-2-0
3.40Buts par match 2.80
3.40Buts contre par match 2.60
42.86%Pourcentage en avantage numérique66.67%
70.59%Pourcentage en désavantage numérique93.33%
Hartford Wolf Pack
5-0-0, 10pts
5
4 Belleville Senators
3-2-0, 6pts
Team Stats
W4SéquenceL2
2-0-0Fiche domicile2-1-0
3-0-0Fiche domicile1-1-0
5-0-0Derniers 10 matchs3-2-0
4.80Buts par match 3.40
2.60Buts contre par match 3.40
25.00%Pourcentage en avantage numérique42.86%
76.92%Pourcentage en désavantage numérique70.59%
Belleville Senators
3-2-0, 6pts
Jour 13
Colorado Eagles
3-2-0, 6pts
Statistiques d’équipe
L2SéquenceL1
2-1-0Fiche domicile2-0-0
1-1-0Fiche visiteur1-2-0
3-2-010 derniers matchs3-2-0
3.40Buts par match 4.40
3.40Buts contre par match 4.40
42.86%Pourcentage en avantage numérique14.29%
70.59%Pourcentage en désavantage numérique64.29%
Belleville Senators
3-2-0, 6pts
Jour 14
Bakersfield Condors
3-2-0, 6pts
Statistiques d’équipe
L2SéquenceL1
2-1-0Fiche domicile2-1-0
1-1-0Fiche visiteur1-1-0
3-2-010 derniers matchs3-2-0
3.40Buts par match 2.80
3.40Buts contre par match 2.80
42.86%Pourcentage en avantage numérique66.67%
70.59%Pourcentage en désavantage numérique93.33%
Belleville Senators
3-2-0, 6pts
Jour 16
Syracuse Crunch
3-3-0, 6pts
Statistiques d’équipe
L2SéquenceOTW1
2-1-0Fiche domicile0-2-0
1-1-0Fiche visiteur3-1-0
3-2-010 derniers matchs3-3-0
3.40Buts par match 3.83
3.40Buts contre par match 3.83
42.86%Pourcentage en avantage numérique26.67%
70.59%Pourcentage en désavantage numérique70.00%
Meneurs d'équipe
Carter YakemchukButs
Carter Yakemchuk
3
David ReinbacherPasses
David Reinbacher
5
Carter YakemchukPoints
Carter Yakemchuk
6
Carter YakemchukPlus/Moins
Carter Yakemchuk
3
Mads SogaardVictoires
Mads Sogaard
3
Mads SogaardPourcentage d’arrêts
Mads Sogaard
0.89

Statistiques d’équipe
Buts pour
17
3.40 GFG
Tirs pour
121
24.20 Avg
Pourcentage en avantage numérique
42.9%
3 GF
Début de zone offensive
35.2%
Buts contre
17
3.40 GAA
Tirs contre
160
32.00 Avg
Pourcentage en désavantage numérique
70.6%%
5 GA
Début de la zone défensive
42.4%
Informations de l'équipe

Directeur généralCedric St-Pierre
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 250
Espoirs29


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
1Arthur KaliyevX100.00623795668378626750616855686665744065N0251750,000$
2Garrett PilonX100.00643982637382846270665860636772544064N0281750,000$
3Olle LycksellX100.00603485667278646559655557606668424063N0271750,000$
4Graeme ClarkeX100.00683784596991855760585956556564624061N0251750,000$
5Kurtis MacDermidX100.0073636658966667565051505553747227406003211,150,000$
6Oskar PetterssonX100.007139905780717855535456585561636640600221850,000$
7Tyler BoucherX100.006942715978777258535655575462648640600231850,000$
8Landen HookeyX100.00824570569167785358545559526264454060N0221750,000$
9Hayden HodgsonX100.007643625986706157505250555469703540590301850,000$
10Riley KidneyX100.00613880586971835763565453556264684059N0231750,000$
11Jamieson ReesX100.00573689586769775563565453586466714058N0251750,000$
12Keean WashkurakX100.00584072566772855360545552566566484058N0251750,000$
13David ReinbacherX100.005937836885826066307450654961628840660212886,667$
14Dennis GilbertX100.007849646384776662307250644770725140660291850,000$
15Carter YakemchukX100.005037757287856069306871645760618740660212942,500$
16Cameron CrottyX100.005937836286836059306550644666675540630271812,500$
17Djibril ToureX100.009058625699636655305453594562644340630231850,000$
18Scott HarringtonX100.00723987558162685430535256457274434061N0331750,000$
Rayé
1Xavier BourgaultX100.006734835069676050525050555063648040560231850,000$
2Lassi ThomsonX100.0060358360738361593068505946656679406202600$
3Samuel BolducX100.005038856391676064305050554865666840610251850,000$
4Ryan O'RourkeX100.006139745670658454305552574563657540590241750,000$
5Tomas Hamara (R)X100.006238885371636852305154564562646640580221878,334$
6Jorian DonovanX100.006535835077706050305050554361625740570221796,667$
MOYENNE D’ÉQUIPE100.00664079597973705845585457526566614061
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
1Mads Sogaard100.00756360987473757473757465757340670251850,000$
2Jackson Parsons (R)100.00697672786867696867696862674540630212929,167$
Rayé
1Kevin Reidler (R)100.00657167976463656463656462674940620222946,250$
MOYENNE D’ÉQUIPE100.0070706691696870696870696370564064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Carter YakemchukBelleville Senators (SAG)D533630029851137.50%411022.1911236000013000%000001.0800000110
2Arthur KaliyevBelleville Senators (SAG)RW52353001617111511.76%011723.47011250001140126.47%3400000.8511000001
3David ReinbacherBelleville Senators (SAG)D5055220967360%1312324.6700036000013000%000000.8100000100
4Olle LycksellBelleville Senators (SAG)RW5224000271451714.29%210220.5902207000091137.50%1600000.7801000100
5Oskar PetterssonBelleville Senators (SAG)RW53140008772342.86%08316.6400000000001033.33%300000.9600000000
6Dennis GilbertBelleville Senators (SAG)D5033212020105260%59919.8301126000011000%000000.6100000000
7Garrett PilonBelleville Senators (SAG)C52132207241611212.50%211122.39101250001160054.17%12000000.5401000000
8Riley KidneyBelleville Senators (SAG)C5213-2001552240.00%17615.2100000000050051.25%8000000.7900000000
9Cameron CrottyBelleville Senators (SAG)D5022-400146230%48617.340113400004000%000000.4600000000
10Djibril ToureBelleville Senators (SAG)D5022-5201221020%88316.610000000007000%000000.4800000000
11Jamieson ReesBelleville Senators (SAG)LW51120001381412.50%19719.5010147000020050.00%400000.4100000000
12Tyler KlevenSaguenay OrignauxD20222201031120%34723.730000200006000%000000.8400000000
13Graeme ClarkeBelleville Senators (SAG)RW5011-220698130%08016.1100000000090050.00%200000.2511000000
14Keean WashkurakBelleville Senators (SAG)C51011003031033.33%0173.4000000000000147.62%2100001.1800000010
15Kurtis MacDermidBelleville Senators (SAG)LW50112801437050%19418.8000005000000033.33%600000.2100000000
16Landen HookeyBelleville Senators (SAG)C501104015146270%19218.4700007000000049.52%10500000.2200000000
17Hayden HodgsonBelleville Senators (SAG)RW5000000000000%000.150000000000000%00000000000000
18Scott HarringtonBelleville Senators (SAG)D3000220510100%55418.030000000001000%00000000000000
19Tyler BoucherBelleville Senators (SAG)RW5000-100002000%040.990000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne901629455360117113121409813.22%50148316.48369196200021172348.34%39100000.6124000321
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
1Mads SogaardBelleville Senators (SAG)53100.8903.4626000151360010.750450000
2Jackson ParsonsBelleville Senators (SAG)10100.9571.4043001230000005000
Statistiques d’équipe totales ou en moyenne63200.8993.163040016159001455000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Arthur KaliyevBelleville Senators (SAG)RW252001-06-26USANo212 Lbs6 ft2YesNoAssign ManuallyNoNo12026-07-09FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Cameron CrottyBelleville Senators (SAG)D271999-05-05CANNo213 Lbs6 ft3NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm812,500$0$0$No---------------------------Lien / Lien NHL
Carter YakemchukBelleville Senators (SAG)D212005-09-29CANNo219 Lbs6 ft3NoNoDraftNoNo22026-04-29FalseFalsePro & Farm942,500$0$0$No942,500$--------942,500$--------No--------Lien / Lien NHL
David ReinbacherBelleville Senators (SAG)D212004-10-25AUTNo207 Lbs6 ft3NoNoTrade2026-05-05NoNo22026-04-25FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Lien / Lien NHL
Dennis GilbertBelleville Senators (SAG)D291996-10-30USANo216 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Djibril ToureBelleville Senators (SAG)D232003-06-05CANNo217 Lbs6 ft7NoNoAssign ManuallyNoNo12026-06-26FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Garrett PilonBelleville Senators (SAG)C281998-04-13CANNo191 Lbs6 ft0YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Graeme ClarkeBelleville Senators (SAG)RW252001-04-24CANNo175 Lbs6 ft0YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Hayden HodgsonBelleville Senators (SAG)RW301996-03-02CANNo226 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-02FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Jackson ParsonsBelleville Senators (SAG)G212004-11-23CANYes203 Lbs6 ft1NoNoDraftNoNo22026-05-25FalseFalsePro & Farm929,167$0$0$No929,167$--------929,167$--------No--------Lien / Lien NHL
Jamieson ReesBelleville Senators (SAG)LW252001-02-26CANNo172 Lbs5 ft11YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Jorian DonovanBelleville Senators (SAG)D222004-04-05CANNo200 Lbs6 ft1NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm796,667$0$0$No---------------------------Lien / Lien NHL
Keean WashkurakBelleville Senators (SAG)C252001-08-16CANNo184 Lbs5 ft10YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Kevin ReidlerBelleville Senators (SAG)G222004-09-02SWEYes209 Lbs6 ft7NoNoDraftNoNo22026-05-25FalseFalsePro & Farm946,250$0$0$No946,250$--------946,250$--------No--------Lien / Lien NHL
Kurtis MacDermidBelleville Senators (SAG)LW321994-03-25CANNo233 Lbs6 ft5NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm1,150,000$0$0$No---------------------------Lien / Lien NHL
Landen HookeyBelleville Senators (SAG)C222004-01-29CANNo222 Lbs6 ft4YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Lassi ThomsonBelleville Senators (SAG)D262000-09-24FINNo195 Lbs6 ft0NoNoDraftNoNo02026-04-29FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Mads SogaardBelleville Senators (SAG)G252000-12-13DNKNo231 Lbs6 ft7NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Olle LycksellBelleville Senators (SAG)RW271999-08-24SWENo197 Lbs5 ft11YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Oskar PetterssonBelleville Senators (SAG)RW222004-02-04SWENo198 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-02FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Riley KidneyBelleville Senators (SAG)C232003-03-25CANNo181 Lbs5 ft11YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Ryan O'RourkeBelleville Senators (SAG)D242002-05-16CANNo178 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Samuel BolducBelleville Senators (SAG)D252000-12-09CANNo224 Lbs6 ft4NoNoAssign ManuallyNoNo12026-06-26FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Scott HarringtonBelleville Senators (SAG)D331993-03-10CANNo204 Lbs6 ft2YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Tomas HamaraBelleville Senators (SAG)D222004-03-09CZEYes185 Lbs6 ft0NoNoDraftNoNo12026-05-25FalseFalsePro & Farm878,334$0$0$No---------------------------Lien / Lien NHL
Tyler BoucherBelleville Senators (SAG)RW232003-01-16USANo205 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-10FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Xavier BourgaultBelleville Senators (SAG)RW232002-10-22CANNo185 Lbs5 ft11NoNoAssign ManuallyNoNo12026-07-09FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.85203 Lbs6 ft21.11801,559$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kurtis MacDermidGarrett PilonArthur Kaliyev40122
2Jamieson ReesLanden HookeyOlle Lycksell30122
3Oskar PetterssonRiley KidneyGraeme Clarke20122
4Arthur KaliyevKeean WashkurakOskar Pettersson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonDavid Reinbacher40122
2Dennis GilbertCarter Yakemchuk30122
3Cameron CrottyDjibril Toure20122
4Carter YakemchukDavid Reinbacher10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kurtis MacDermidGarrett PilonArthur Kaliyev60122
2Jamieson ReesLanden HookeyOlle Lycksell40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cameron CrottyDavid Reinbacher60122
2Dennis GilbertCarter Yakemchuk40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Arthur KaliyevGarrett Pilon60122
2Olle LycksellGraeme Clarke40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Djibril ToureDavid Reinbacher60122
2Dennis GilbertCarter Yakemchuk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Arthur Kaliyev60122Cameron CrottyDavid Reinbacher60122
2Garrett Pilon40122Dennis GilbertCarter Yakemchuk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Arthur KaliyevGarrett Pilon60122
2Olle LycksellGraeme Clarke40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Djibril ToureDavid Reinbacher60122
2Dennis GilbertCarter Yakemchuk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kurtis MacDermidGarrett PilonArthur KaliyevDennis GilbertDavid Reinbacher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kurtis MacDermidGarrett PilonArthur KaliyevDennis GilbertDavid Reinbacher
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Boucher, Hayden Hodgson, Riley KidneyTyler Boucher, Hayden HodgsonRiley Kidney
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Crotty, Djibril Toure, Dennis GilbertCameron CrottyDjibril Toure, Dennis Gilbert
Tirs de pénalité
Arthur Kaliyev, Garrett Pilon, Olle Lycksell, Graeme Clarke, Landen Hookey
Gardien
#1 : Mads Sogaard, #2 : Jackson Parsons


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
1Bakersfield Condors1010000013-2000000000001010000013-200.0001121038523227603263312035300.00%000%06413547.41%7416345.40%518659.30%11982119376632
2Hartford Wolf Pack1010000045-11010000045-10000000000000.000471100385219276032632312232150.00%6266.67%06413547.41%7416345.40%518659.30%11982119376632
3Laval Rocket21000010862210000108620000000000041.000813210038524527603265628184011100.00%8275.00%06413547.41%7416345.40%518659.30%11982119376632
4Syracuse Crunch11000000431000000000001100000043121.000481200385225276032639761911100.00%3166.67%06413547.41%7416345.40%518659.30%11982119376632
Total522000101717031100010121112110000056-160.600172946103852121276032616050361177342.86%17570.59%06413547.41%7416345.40%518659.30%11982119376632
_Since Last GM Reset522000101717031100010121112110000056-160.600172946103852121276032616050361177342.86%17570.59%06413547.41%7416345.40%518659.30%11982119376632
_Vs Conference421000101614231100010121111100000043160.7501628440038528927603261273836824375.00%17570.59%06413547.41%7416345.40%518659.30%11982119376632

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
56L2172946121160503611710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
52200101717
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31100101211
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000056
Derniers 10 matchs
WLOTWOTL SOWSOL
220010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7342.86%17570.59%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
27603263852
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
6413547.41%7416345.40%518659.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11982119376632


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
212Laval Rocket4Belleville Senators5WXXSommaire du match
424Belleville Senators4Syracuse Crunch3WSommaire du match
644Laval Rocket2Belleville Senators3WSommaire du match
854Belleville Senators1Bakersfield Condors3LSommaire du match
1072Hartford Wolf Pack5Belleville Senators4LSommaire du match
1393Belleville Senators-Colorado Eagles-
14104Belleville Senators-Bakersfield Condors-
16114Belleville Senators-Syracuse Crunch-
17126Rockford IceHogs-Belleville Senators-
20152Coachella Valley Firebirds-Belleville Senators-
23169Belleville Senators-Syracuse Crunch-
25182Idaho Timberwolves-Belleville Senators-
27203Cleveland Monsters-Belleville Senators-
30221Belleville Senators-Colorado Eagles-
32237Rochester Americans-Belleville Senators-
34260Belleville Senators-Utica Comets-
36271Cleveland Monsters-Belleville Senators-
38287Belleville Senators-Milwaukee Admirals-
40302Toronto Marlies-Belleville Senators-
42315Belleville Senators-Charlotte Checkers-
44333Charlotte Checkers-Belleville Senators-
46352Belleville Senators-Cleveland Monsters-
48363Abbotsford Canucks-Belleville Senators-
51388Rochester Americans-Belleville Senators-
52397Belleville Senators-Grand Rapids Griffins-
55417Belleville Senators-Hartford Wolf Pack-
57430Hershey Bears-Belleville Senators-
60453Hamilton Hammers-Belleville Senators-
62469Belleville Senators-Idaho Timberwolves-
65487San Jose Barracuda-Belleville Senators-
67502Belleville Senators-Springfield Thunderbirds-
69514Belleville Senators-Texas Stars-
71527Utica Comets-Belleville Senators-
74549Rockford IceHogs-Belleville Senators-
76559Belleville Senators-Manitoba Moose-
78580Chicago Wolves-Belleville Senators-
80595Belleville Senators-Providence Bruins-
82605Belleville Senators-Bakersfield Condors-
84621Milwaukee Admirals-Belleville Senators-
87639Belleville Senators-Orlando Lizards-
89653Belleville Senators-Utica Comets-
90662Bakersfield Condors-Belleville Senators-
93677Belleville Senators-Syracuse Crunch-
95690Belleville Senators-Rochester Americans-
96700Chicago Wolves-Belleville Senators-
99722Colorado Eagles-Belleville Senators-
102743Belleville Senators-Springfield Thunderbirds-
104754Manitoba Moose-Belleville Senators-
107778Grand Rapids Griffins-Belleville Senators-
109794Belleville Senators-Rockford IceHogs-
110806Belleville Senators-Iowa Wild-
112819Laval Rocket-Belleville Senators-
114834Belleville Senators-San Jose Barracuda-
116849Hartford Wolf Pack-Belleville Senators-
119871Belleville Senators-Wilkes-Barre/Scranton Penguins-
121881Syracuse Crunch-Belleville Senators-
123895Belleville Senators-Hamilton Hammers-
125912Texas Stars-Belleville Senators-
128927Belleville Senators-Laval Rocket-
130945Belleville Senators-Abbotsford Canucks-
131953Calgary Wranglers-Belleville Senators-
134974Belleville Senators-Chicago Wolves-
135983Wilkes-Barre/Scranton Penguins-Belleville Senators-
1381007Belleville Senators-Toronto Marlies-
1401015Springfield Thunderbirds-Belleville Senators-
1421032Belleville Senators-Toronto Marlies-
1441046Lehigh Valley Phantoms-Belleville Senators-
1451060Belleville Senators-Coachella Valley Firebirds-
1471077Wilkes-Barre/Scranton Penguins-Belleville Senators-
1491093Belleville Senators-Henderson Silver Knights-
1521112Idaho Timberwolves-Belleville Senators-
1551134Ontario Reign-Belleville Senators-
1571150Belleville Senators-Hershey Bears-
1591167Belleville Senators-Colorado Eagles-
1601179Henderson Silver Knights-Belleville Senators-
1631199Orlando Lizards-Belleville Senators-
1651212Belleville Senators-Lehigh Valley Phantoms-
1681232Coachella Valley Firebirds-Belleville Senators-
1691246Belleville Senators-Ontario Reign-
1721266Orlando Lizards-Belleville Senators-
1751277Belleville Senators-Calgary Wranglers-
1781298Providence Bruins-Belleville Senators-
1801310Belleville Senators-Ontario Reign-
1831333Iowa Wild-Belleville Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
120,660$ 2,164,209$ 2,164,209$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,636$ 120,660$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 176 11,636$ 2,047,936$




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