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Belleville Senators
GP: 26 | W: 6 | L: 17 | OTL: 3 | P: 15
GF: 83 | GA: 120 | PP%: 21.62% | PK%: 68.29%
DG: Maxime Bérubé | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #455 vs Chicago Wolves

Centre de jeu
Bakersfield Condors
14-13-3, 31pts
5
FINAL
3 Belleville Senators
6-17-3, 15pts
Team Stats
L1SéquenceL2
5-7-2Fiche domicile4-9-1
9-6-1Fiche domicile2-8-2
4-4-2Derniers 10 matchs1-8-1
4.17Buts par match 3.19
4.33Buts contre par match 4.62
19.28%Pourcentage en avantage numérique21.62%
77.92%Pourcentage en désavantage numérique68.29%
Belleville Senators
6-17-3, 15pts
3
FINAL
6 Cleveland Monsters
19-11-2, 40pts
Team Stats
L2SéquenceW2
4-9-1Fiche domicile9-5-0
2-8-2Fiche domicile10-6-2
1-8-1Derniers 10 matchs6-4-0
3.19Buts par match 4.56
4.62Buts contre par match 4.44
21.62%Pourcentage en avantage numérique27.47%
68.29%Pourcentage en désavantage numérique63.41%
Chicago Wolves
9-13-6, 24pts
Jour 69
Belleville Senators
6-17-3, 15pts
Statistiques d’équipe
L3SéquenceL2
5-5-4Fiche domicile4-9-1
4-8-2Fiche visiteur2-8-2
2-7-110 derniers matchs1-8-1
4.46Buts par match 3.19
4.64Buts contre par match 3.19
29.03%Pourcentage en avantage numérique21.62%
64.00%Pourcentage en désavantage numérique68.29%
Belleville Senators
6-17-3, 15pts
Jour 72
Rochester Americans
15-14-1, 31pts
Statistiques d’équipe
L2SéquenceW1
4-9-1Fiche domicile7-6-1
2-8-2Fiche visiteur8-8-0
1-8-110 derniers matchs6-4-0
3.19Buts par match 4.73
4.62Buts contre par match 4.73
21.62%Pourcentage en avantage numérique31.58%
68.29%Pourcentage en désavantage numérique77.94%
Colorado Eagles
14-13-2, 30pts
Jour 74
Belleville Senators
6-17-3, 15pts
Statistiques d’équipe
L4SéquenceL2
6-6-2Fiche domicile4-9-1
8-7-0Fiche visiteur2-8-2
3-6-110 derniers matchs1-8-1
3.59Buts par match 3.19
4.00Buts contre par match 3.19
28.57%Pourcentage en avantage numérique21.62%
66.04%Pourcentage en désavantage numérique68.29%
Meneurs d'équipe
Sam PoulinButs
Sam Poulin
9
Calle RosenPasses
Calle Rosen
15
Calle RosenPoints
Calle Rosen
21
Kale ClaguePlus/Moins
Kale Clague
-1
Victoires
Tristan Lennox
5
Pourcentage d’arrêts
Jacob Fowler
0.881

Statistiques d’équipe
Buts pour
83
3.19 GFG
Tirs pour
825
31.73 Avg
Pourcentage en avantage numérique
21.6%
16 GF
Début de zone offensive
39.6%
Buts contre
120
4.62 GAA
Tirs contre
1006
38.69 Avg
Pourcentage en désavantage numérique
68.3%%
26 GA
Début de la zone défensive
40.2%
Informations de l'équipe

Directeur généralMaxime Bérubé
EntraîneurJoel Bouchard
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité9,000
Assistance8,652
Billets de saison8,370


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 60
Espoirs9


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
1Carl GrundstromX100.008542857380798473406666657176660507002811,800,000$
2Kurtis MacDermidX100.008171686689738067426161666579690506803121,150,000$
3Samuel HeleniusX99.00796172698270666561606065655250050650231805,833$
4Riley TufteX100.00685160637368676544626166635550050630271775,000$
5T.J. TynanX100.00534861715272716447675465636862050630331775,000$
6Adam ErneXXX100.00684275637371706041565558598061050620301775,000$
7Sam PoulinX100.00664367646964626361615961625250050620241775,000$
8Jani NymanX100.00644265626758576242596259625050050600212891,667$
9Matt LuffX100.00584368616668666443615954615750050600281775,000$
10Francesco PinelliX100.00594368656465636343575853625050050590221845,000$
11Rutger McGroartyX100.00604264616361606242615755605050050590212950,000$
12Calle RosenX99.00594274706373726740646169667556050660311775,000$
13Kale ClagueX99.00554467706270676640636066656551050640271775,000$
14Samuel BolducX99.00584076647871656740646159645750050640251775,000$
15Connor MackeyX100.00605955666571686340595767626050050630291775,000$
16Djibril ToureX100.00634460626760585740545563585050050600221805,000$
17Calle OdeliusX100.00554167616161605940575453585050050580212815,000$
Rayé
1Gabriel FortierX100.005941726661666461595656586153500506002500$
2Grigori DenisenkoX100.005449616562666565446359516353500506002500$
3Donavan HouleXXX100.005844616162646260425856555852500505802600$
4Alex BeaucageX100.006241716565625956405251585751500505702400$
5Zach MetsaX100.006141727161676565406457696453500506402700$
6Chad NychukX100.006041716564625956405151645752500506002400$
7Jeremie BuchelerX100.006340696068625955405151615652500505902500$
8Matt AndersonX100.005940626261615954405453615652500505802600$
MOYENNE D’ÉQUIPE99.8463456865676765624459576162585305062
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
1Jacob Fowler100.0063575765626262606260545050050570213923,333$
2Tristan Lennox100.0059575764595756545859545050050540231867,500$
Rayé
MOYENNE D’ÉQUIPE100.006157576561605957606054505005056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard1111111CAN5151$


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
1Calle RosenBelleville Senators (OTT)D2661521-20140604655184510.91%5460823.401452861000262100%000000.6922000102
2Kale ClagueBelleville Senators (OTT)D2651520-16027335715458.77%4055121.202352659022064100%000000.7300000100
3Samuel BolducBelleville Senators (OTT)D2671320-19240503039163517.95%3660323.22358236100015800100.00%200000.6601000120
4Connor MackeyBelleville Senators (OTT)D2641418-322061235023368.00%3653620.620552060000050000%000000.6700000010
5Sam PoulinBelleville Senators (OTT)RW269918-9180623976174811.84%345917.662351458000000059.38%3200000.7800000011
6Samuel HeleniusBelleville Senators (OTT)C2661218-1425578629524646.32%948918.8422420621014550152.95%54200000.7302010120
7T.J. TynanBelleville Senators (OTT)C2631417-106038727825723.85%746417.861231858000010046.32%61100000.7311000000
8Francesco PinelliBelleville Senators (OTT)C2621113-3401940328286.25%135013.4800000000000045.50%44400000.7400000010
9Riley TufteBelleville Senators (OTT)LW266713-314045386917498.70%336113.9100012000050042.42%3300000.7200000100
10Carl GrundstromBelleville Senators (OTT)RW125712-28020345926328.47%327823.1711211260001300047.77%15700000.8611000200
11Calle OdeliusBelleville Senators (OTT)D261910-2602914132157.69%2442016.1900011000128000%000000.4800000000
12Matt LuffBelleville Senators (OTT)RW266410-320181733103118.18%535213.5400000000002042.86%2800000.5700000010
13Djibril ToureBelleville Senators (OTT)D26268-4160632425378.00%3340815.7000002000010000%000000.3900000000
14Kurtis MacDermidBelleville Senators (OTT)LW11538-340291439151912.82%225523.221127250001290160.00%2000000.6301000001
15Rutger McGroartyBelleville Senators (OTT)RW26516-34022144191712.20%31877.21000001011110020.00%1500000.6400000021
16Sam ColangeloOttawa SenatorsLW/RW2123-2003362916.67%24120.7801104000080040.00%1500001.4400000000
Statistiques d’équipe totales ou en moyenne36373142215-10117356245037672305529.52%261636817.54132740169486224114174248.18%189900000.68480107105
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
1Tristan LennoxBelleville Senators (OTT)155730.8764.7578320625010010.5008152010
2Jacob FowlerBelleville Senators (OTT)1411000.8814.477250054453000001124000
Statistiques d’équipe totales ou en moyenne2961730.8784.6215082011695400182626010


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 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 restantPlafond 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
Adam ErneBelleville Senators (OTT)C/LW/RW301995-04-20USANo212 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-09FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------Lien NHL
Alex BeaucageBelleville Senators (OTT)RW242001-07-25CANNo192 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Calle OdeliusBelleville Senators (OTT)D212004-05-30SWENo183 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm815,000$501,893$0$0$No815,000$--------815,000$--------No--------
Calle RosenBelleville Senators (OTT)D311994-02-02SWENo185 Lbs6 ft1NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------Lien NHL
Carl GrundstromBelleville Senators (OTT)RW281997-12-01SWENo200 Lbs6 ft0NoNoFantasy DraftNoYes12025-05-26FalseFalsePro & Farm1,800,000$1,108,475$0$0$No---------------------------Lien NHL
Chad NychukBelleville Senators (OTT)D242001-03-06CANNo187 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Connor MackeyBelleville Senators (OTT)D291996-09-12USANo190 Lbs6 ft2NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------Lien NHL
Djibril ToureBelleville Senators (OTT)D222003-06-05CANNo203 Lbs6 ft7NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm805,000$495,734$0$0$No---------------------------
Donavan HouleBelleville Senators (OTT)C/LW/RW261999-11-04CANNo194 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Francesco PinelliBelleville Senators (OTT)C222003-04-11CANNo185 Lbs6 ft1NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm845,000$520,367$0$0$No---------------------------Lien NHL
Gabriel FortierBelleville Senators (OTT)LW252000-02-06CANNo181 Lbs5 ft11NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Grigori DenisenkoBelleville Senators (OTT)LW252000-06-24RUSNo185 Lbs5 ft11NoNoAssign ManuallyNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Jacob FowlerBelleville Senators (OTT)G212004-11-24USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo32025-05-26FalseFalsePro & Farm923,333$568,606$0$0$No923,333$923,333$-------923,333$923,333$-------NoNo-------
Jani NymanBelleville Senators (OTT)RW212004-07-30FINNo216 Lbs6 ft4NoNoTrade2025-10-12NoNo22025-05-26FalseFalsePro & Farm891,667$549,106$0$0$No891,667$--------891,667$--------No--------Lien NHL
Jeremie BuchelerBelleville Senators (OTT)D252000-03-31CANNo205 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Kale ClagueBelleville Senators (OTT)D271998-06-05CANNo176 Lbs6 ft0NoNoTrade2025-09-26NoNo12025-07-02FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------Lien NHL
Kurtis MacDermidBelleville Senators (OTT)LW311994-03-25CANNo233 Lbs6 ft5NoNoTrade2025-09-19NoNo22025-05-26FalseFalsePro & Farm1,150,000$708,192$0$0$No1,150,000$--------1,150,000$--------No--------Lien NHL
Matt AndersonBelleville Senators (OTT)D261999-04-11USANo194 Lbs6 ft0NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Matt LuffBelleville Senators (OTT)RW281997-05-05CANNo196 Lbs6 ft2NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------Lien NHL
Riley TufteBelleville Senators (OTT)LW271998-04-10USANo220 Lbs6 ft6NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------Lien NHL
Rutger McGroartyBelleville Senators (OTT)RW212004-03-30USANo205 Lbs6 ft1NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm950,000$585,028$0$0$No950,000$--------950,000$--------No--------
Sam PoulinBelleville Senators (OTT)RW242001-02-25CANNo214 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------Lien NHL
Samuel BolducBelleville Senators (OTT)D252000-12-09CANNo220 Lbs6 ft4NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------Lien NHL
Samuel HeleniusBelleville Senators (OTT)C232002-11-26USANo201 Lbs6 ft6NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm805,833$496,247$0$0$No---------------------------Lien NHL
T.J. TynanBelleville Senators (OTT)C331992-02-25USANo165 Lbs5 ft9NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$477,260$0$0$No---------------------------Lien NHL
Tristan LennoxBelleville Senators (OTT)G232002-10-21CANNo187 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm867,500$534,223$0$0$No---------------------------
Zach MetsaBelleville Senators (OTT)D271998-10-19USANo179 Lbs5 ft11NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.52197 Lbs6 ft20.93623,272$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samuel Helenius30122
2T.J. TynanSam Poulin30122
3Riley TufteFrancesco PinelliMatt Luff25122
4Rutger McGroarty15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenSamuel Bolduc30122
2Kale ClagueConnor Mackey30122
3Djibril ToureCalle Odelius25122
4Calle RosenSamuel Bolduc15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samuel Helenius50122
2T.J. TynanSam Poulin50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenSamuel Bolduc50122
2Kale ClagueConnor Mackey50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Samuel Helenius50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenSamuel Bolduc50122
2Kale ClagueConnor Mackey50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Calle RosenSamuel Bolduc50122
250122Kale ClagueConnor Mackey50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Samuel Helenius50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenSamuel Bolduc50122
2Kale ClagueConnor Mackey50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samuel HeleniusCalle RosenSamuel Bolduc
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samuel HeleniusCalle RosenSamuel Bolduc
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Tufte, Matt Luff, Rutger McGroartyRiley Tufte, Matt LuffRutger McGroarty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Djibril Toure, Calle Odelius, Kale ClagueDjibril ToureCalle Odelius, Kale Clague
Tirs de pénalité
, , , Samuel Helenius, T.J. Tynan
Gardien
#1 : , #2 : Jacob Fowler
Lignes d’attaque personnalisées en prolongation
, , , Samuel Helenius, T.J. Tynan, Riley Tufte, Sam Poulin, Matt Luff, Rutger McGroarty, Francesco Pinelli
Lignes de défense personnalisées en prolongation
Calle Rosen, Samuel Bolduc, Kale Clague, Connor Mackey, Djibril Toure


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 Condors1010000035-21010000035-20000000000000.00035800272727529284265269153612624000%30100.00%044689849.67%43691147.86%21645647.37%637444606175327167
2Calgary Wranglers1000010034-11000010034-10000000000010.5003690027272753028426526915539625200.00%3166.67%044689849.67%43691147.86%21645647.37%637444606175327167
3Charlotte Checkers20200000412-80000000000020200000412-800.0004812002727275642842652691588121469700.00%7271.43%044689849.67%43691147.86%21645647.37%637444606175327167
4Chicago Wolves1010000006-6000000000001010000006-600.00000000272727530284265269153514525300.00%000%044689849.67%43691147.86%21645647.37%637444606175327167
5Cleveland Monsters201010001113-2100010008711010000036-320.50011203100272727556284265269151092822518562.50%11372.73%044689849.67%43691147.86%21645647.37%637444606175327167
6Grand Rapids Griffins311001001112-11100000041320100100711-430.500112132002727275101284265269158026245913323.08%11463.64%044689849.67%43691147.86%21645647.37%637444606175327167
7Hershey Bears20100001911-21010000056-11000000145-110.250918270027272758328426526915861710407228.57%4175.00%044689849.67%43691147.86%21645647.37%637444606175327167
8Laval Rocket20200000310-71010000027-51010000013-200.0003580027272755728426526915902818492150.00%9544.44%044689849.67%43691147.86%21645647.37%637444606175327167
9Providence Bruins11000000321000000000001100000032121.0003690027272752028426526915446624100.00%20100.00%044689849.67%43691147.86%21645647.37%637444606175327167
10Rochester Americans312000001417-3211000001012-21010000045-120.33314264000272727592284265269151354320687114.29%9366.67%044689849.67%43691147.86%21645647.37%637444606175327167
11Springfield Thunderbirds1010000034-11010000034-10000000000000.0003690027272752728426526915269102311100.00%40100.00%044689849.67%43691147.86%21645647.37%637444606175327167
12Syracuse Crunch31200000910-11010000034-12110000066020.33391726002727275101284265269159323219114214.29%8450.00%144689849.67%43691147.86%21645647.37%637444606175327167
13Texas Stars1010000023-11010000023-10000000000000.00024600272727535284265269153511827200.00%4175.00%044689849.67%43691147.86%21645647.37%637444606175327167
14Toronto Marlies1010000002-21010000002-20000000000000.0000000027272751828426526915218928000%20100.00%044689849.67%43691147.86%21645647.37%637444606175327167
15Utica Comets1010000013-21010000013-20000000000000.0001231027272753828426526915248223300.00%10100.00%044689849.67%43691147.86%21645647.37%637444606175327167
16Wilkes-Barre Penguins10000010761100000107610000000000021.000711180027272754428426526915511613354125.00%4250.00%144689849.67%43691147.86%21645647.37%637444606175327167
Total264170121183120-371429011105164-131228001013256-24150.28883155238102727275825284265269151006270194661741621.62%822668.29%244689849.67%43691147.86%21645647.37%637444606175327167
_Since Last GM Reset264170121183120-371429011105164-131228001013256-24150.28883155238102727275825284265269151006270194661741621.62%822668.29%244689849.67%43691147.86%21645647.37%637444606175327167
_Vs Conference224140111175102-271127010104352-91127001013250-18140.3187514021510272727570128426526915847224169560671623.88%722466.67%244689849.67%43691147.86%21645647.37%637444606175327167
_Vs Division7310011002839-11425010002122-131500100717-1090.64328517910272727525128426526915305835217425832.00%20670.00%144689849.67%43691147.86%21645647.37%637444606175327167

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2615L283155238825100627019466110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
26417121183120
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
142911105164
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
122801013256
Derniers 10 matchs
WLOTWOTL SOWSOL
180100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
741621.62%822668.29%2
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
284265269152727275
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
44689849.67%43691147.86%21645647.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
637444606175327167


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
319Springfield Thunderbirds4Belleville Senators3LSommaire du match
425Belleville Senators3Charlotte Checkers5LSommaire du match
849Syracuse Crunch4Belleville Senators3LSommaire du match
1164Belleville Senators4Rochester Americans5LSommaire du match
1375Toronto Marlies2Belleville Senators0LSommaire du match
17102Wilkes-Barre Penguins6Belleville Senators7WXXSommaire du match
20126Belleville Senators5Grand Rapids Griffins6LXSommaire du match
22134Belleville Senators3Providence Bruins2WSommaire du match
23145Laval Rocket7Belleville Senators2LSommaire du match
26163Rochester Americans6Belleville Senators9WSommaire du match
28185Belleville Senators1Charlotte Checkers7LSommaire du match
30194Belleville Senators4Syracuse Crunch2WSommaire du match
31204Utica Comets3Belleville Senators1LSommaire du match
34227Belleville Senators0Chicago Wolves6LSommaire du match
36236Cleveland Monsters7Belleville Senators8WXSommaire du match
39261Belleville Senators4Hershey Bears5LXXSommaire du match
40272Calgary Wranglers4Belleville Senators3LXSommaire du match
43291Belleville Senators2Syracuse Crunch4LSommaire du match
45301Rochester Americans6Belleville Senators1LSommaire du match
48319Belleville Senators1Laval Rocket3LSommaire du match
50333Texas Stars3Belleville Senators2LSommaire du match
55362Hershey Bears6Belleville Senators5LSommaire du match
58381Belleville Senators2Grand Rapids Griffins5LSommaire du match
60395Grand Rapids Griffins1Belleville Senators4WSommaire du match
64422Bakersfield Condors5Belleville Senators3LSommaire du match
68448Belleville Senators3Cleveland Monsters6LSommaire du match
69455Chicago Wolves-Belleville Senators-
72473Belleville Senators-Rochester Americans-
74485Colorado Eagles-Belleville Senators-
76496Belleville Senators-Laval Rocket-
80517Laval Rocket-Belleville Senators-
84546Providence Bruins-Belleville Senators-
86554Belleville Senators-Providence Bruins-
88569Belleville Senators-San Diego Gulls-
90582Charlotte Checkers-Belleville Senators-
92596Belleville Senators-Bridgeport Islanders-
94609Belleville Senators-Lehigh Valley Phantoms-
96617San Jose Barracuda-Belleville Senators-
98635Belleville Senators-Springfield Thunderbirds-
101652Rockford IceHogs-Belleville Senators-
105677Springfield Thunderbirds-Belleville Senators-
107686Belleville Senators-Utica Comets-
109706Belleville Senators-Manitoba Moose-
111716Syracuse Crunch-Belleville Senators-
115743Utica Comets-Belleville Senators-
117758Belleville Senators-Charlotte Checkers-
120775Iowa Wild-Belleville Senators-
121786Belleville Senators-Ontario Reign-
124803Belleville Senators-Wilkes-Barre Penguins-
125812Bridgeport Islanders-Belleville Senators-
128830Belleville Senators-Bridgeport Islanders-
130842Belleville Senators-Coachella Valley Firebirds-
131847Grand Rapids Griffins-Belleville Senators-
134869Belleville Senators-Toronto Marlies-
136879Tucson Roadrunners-Belleville Senators-
138899Belleville Senators-Toronto Marlies-
141912Abbotsford Canucks-Belleville Senators-
144930Belleville Senators-Hartford Wolf Pack-
146944Lehigh Valley Phantoms-Belleville Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150967Belleville Senators-Hershey Bears-
151975Wilkes-Barre Penguins-Belleville Senators-
155998Cleveland Monsters-Belleville Senators-
1561008Belleville Senators-Milwaukee Admirals-
1611033Toronto Marlies-Belleville Senators-
1631046Belleville Senators-Lehigh Valley Phantoms-
1651059Hartford Wolf Pack-Belleville Senators-
1661065Belleville Senators-Cleveland Monsters-
1681078Belleville Senators-Utica Comets-
1701092Belleville Senators-Hartford Wolf Pack-
1741109Henderson Silver Knights-Belleville Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance81,27139,852
Assistance PCT96.75%94.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 8652 - 96.13% 433,701$6,071,820$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
657,346$ 1,682,833$ 1,682,833$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 657,346$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
9,107,730$ 109 9,508$ 1,036,372$




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