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Belleville Senators
GP: 82 | W: 51 | L: 28 | OTL: 3 | P: 105
GF: 325 | GA: 270 | PP%: 21.39% | PK%: 78.84%
DG: Sam Vienneau | Morale : 74 | Moyenne d’équipe : 62

Centre de jeu
Belleville Senators
51-28-3, 105pts
3
2 Utica Comets
21-55-6, 48pts
Team Stats
W2SéquenceL3
24-15-2Fiche domicile13-26-2
27-13-1Fiche domicile8-29-4
6-3-1Derniers 10 matchs5-5-0
3.96Buts par match 2.87
3.29Buts contre par match 4.84
21.39%Pourcentage en avantage numérique19.75%
78.84%Pourcentage en désavantage numérique68.66%
Toronto Marlies
39-39-4, 82pts
1
2 Belleville Senators
51-28-3, 105pts
Team Stats
L1SéquenceW2
22-17-2Fiche domicile24-15-2
17-22-2Fiche domicile27-13-1
5-5-0Derniers 10 matchs6-3-1
3.52Buts par match 3.96
3.61Buts contre par match 3.29
18.15%Pourcentage en avantage numérique21.39%
80.00%Pourcentage en désavantage numérique78.84%
Meneurs d'équipe
Ville KoivunenButs
Ville Koivunen
38
Alex Barre-BouletPasses
Alex Barre-Boulet
64
Alex Barre-BouletPoints
Alex Barre-Boulet
91
Jordan DumaisPlus/Moins
Jordan Dumais
20
Remi PoirierVictoires
Remi Poirier
51
Kenneth ApplebyPourcentage d’arrêts
Kenneth Appleby
0.925

Statistiques d’équipe
Buts pour
325
3.96 GFG
Tirs pour
3287
40.09 Avg
Pourcentage en avantage numérique
21.4%
71 GF
Début de zone offensive
42.7%
Buts contre
270
3.29 GAA
Tirs contre
2956
36.05 Avg
Pourcentage en désavantage numérique
78.8%%
51 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralSam Vienneau
EntraîneurAlain Nasreddine
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,810
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure24
Limite contact 51 / 60
Espoirs12


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
1Alex Barre-Boulet0X100.006236856568878364706662616368700866402931,000,000$
2Nikita Alexandrov0X100.006637916773817465746664616865670576402531,000,000$
3Tye Kartye0XX100.008541816773778764586062616564660816402521,250,000$
4Ivan Miroshnichenko0X100.00703790667485866556626461666263082640221950,000$
5Grigori Denisenko0X100.007339726472878662576062616365670826302631,000,000$
6Lukas Rousek0X100.005837866672748664706560615967680826302731,000,000$
7Rasmus Asplund0XX100.006336906470798662706162635968700826302831,000,000$
8Ville Koivunen (R)0X100.005638756665877468737060636562640826302311,000,000$
9Josh Dunne0X100.007842745889797759645760555867690826202731,000,000$
10Oliver Kapanen (R)0X100.00553695647977616371626066556162082620232925,000$
11Jordan Dumais (R)0X100.006035946264716361656063576461630836102211,000,000$
12Noel Gunler (R)0X100.006740795776797056615962555764660266002431,000,000$
13Tristen Robins0X100.005737885866807857615960545864660746002431,000,000$
14Matthew Maggio0X100.006038875969888356605762545563650826002311,000,000$
15Jon Merrill0X100.006437886284828559306462654980730586403431,000,000$
16Zach Metsa (R)0X100.005636926166778360306559564967690826202731,000,000$
17Ty Nelson (R)0X100.005539796468787363306158564761630826102211,000,000$
18David Spacek0X100.006038885969708558306057544662640376002311,000,000$
19Travis Mitchell0X100.007544655684647855305457574566680386002631,000,000$
20Calle Odelius (R)0X100.006638905975647158305656544561630355902211,000,000$
Rayé
1Connor Corcoran0X100.00683891557774685330545656456567027590261925,000$
2Jake Massie0X100.006638895675636953305558574568700275902931,000,000$
3Case McCarthy (R)0X100.006837955477626353305254554564660195802531,000,000$
MOYENNE D’ÉQUIPE100.0065388561737777605160605855656606462
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
1Remi Poirier0100.00778480827675777675777664710796702431,000,000$
2Kenneth Appleby0100.00758075937473757473757470840876603131,000,000$
Rayé
1Oscar Dansk0100.00728378847170727170727172850206403231,000,000$
2Jesper Vikman0100.00667571796564666564666563690206102431,000,000$
MOYENNE D’ÉQUIPE100.007381768572717372717372677705265
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Nasreddine62747872757076CAN5032,500,000$


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
1Alex Barre-BouletBelleville Senators (OTT)C782764911022087261304812548.88%37171221.95817257125100041674253.89%237900001.0623000528
2Ville KoivunenBelleville Senators (OTT)RW82385189-1175741773649828910.44%21158819.379172665250000084159.35%12300001.1200000545
3Lukas RousekBelleville Senators (OTT)RW82285280191555315528010017310.00%24132916.21581348186000026151.89%10600001.2001001624
4Tye KartyeBelleville Senators (OTT)C/LW7226507610680219136285872119.12%16143819.9842024752420002741046.48%46900101.0602000374
5Ivan MiroshnichenkoBelleville Senators (OTT)LW763342756160170126334962049.88%22163221.481013238924500021098449.09%16500010.9202000464
6Nathan BastianSenatorsC/RW492246681657251461592174915310.14%37117023.89715225317710121461253.09%145400001.1602104353
7Rasmus AsplundBelleville Senators (OTT)C/LW8227305710200641792277517311.89%22123115.0221314630001514154.81%77000000.9300000521
8Ty NelsonBelleville Senators (OTT)D827404710400114699846877.14%90154618.86358431760001122100%000000.6100000232
9Grigori DenisenkoBelleville Senators (OTT)LW82222345143401341042105314510.48%1596311.7511213250003512045.68%8100010.9300000242
10Josh DunneBelleville Senators (OTT)C822220424335105120118316818.64%1187910.7232511430001202154.01%92200000.9600010233
11Sam ColangeloSenatorsRW301824428604480185481369.73%777725.9124634811015883054.01%28700001.0814000232
12Oliver KapanenBelleville Senators (OTT)C7673441812023120172411024.07%5496012.64000140000151054.28%44400000.8500000210
13Zach MetsaBelleville Senators (OTT)D82930390100478310240768.82%130182122.216915612690111180200%000000.4300000101
14Jordan DumaisBelleville Senators (OTT)RW77152237201002585142479710.56%14103813.492021547000001352.25%11100000.7100000113
15Robert HaggSenatorsD53131932671521142102296512.75%85123523.31751258175000298200%000100.5200001023
16Jon MerrillBelleville Senators (OTT)D29920297300895010425668.65%7274825.80661264109000072400%000000.7801000311
17Nikita AlexandrovBelleville Senators (OTT)C29491314033525718477.02%538613.34000000000181054.98%48200000.6700000000
18Calle OdeliusBelleville Senators (OTT)D463912414058213913247.69%4370315.29022826000027100%000000.3400000000
19Travis MitchellBelleville Senators (OTT)D481111217575139204422262.27%6995919.9903324141000085100%000000.2500001001
20Matthew MaggioBelleville Senators (OTT)RW82561186013225510309.09%64225.1500011000002153.33%4500000.5201000002
21Jake MassieBelleville Senators (OTT)D47189018050292812253.57%4468314.5500014000039000%000000.2600000000
22David SpacekBelleville Senators (OTT)D48156-836045914657.14%4166813.9200000000024000%000000.1800000000
23Connor CorcoranBelleville Senators (OTT)D471453402218207135.00%3152511.19000646000051000%000000.1900000000
24Noel GunlerBelleville Senators (OTT)RW23235-86032243212366.25%430113.1100000000180046.15%2600000.3300000001
25Tristen RobinsBelleville Senators (OTT)C534153008141541926.67%21492.8200006000051051.75%11400000.6700000100
26Uvis BalinskisSenatorsD2011140513030%34723.590002500003000%000000.4200000000
27Case McCarthyBelleville Senators (OTT)D19000-120723300%4774.070000000016000%00000000000000
Statistiques d’équipe totales ou en moyenne155834562496916761250201721583554105325279.71%9092500016.05751282037572583213261480521653.30%797800220.78316117474650
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
1Remi PoirierBelleville Senators (OTT)82512820.9093.2448096126028490200.75012820443
2Kenneth ApplebyBelleville Senators (OTT)40010.9253.3614300810700000073000
Statistiques d’équipe totales ou en moyenne86512830.9093.254953612682956020128273443


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 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
Alex Barre-BouletBelleville Senators (OTT)C291997-05-21CANNo178 Lbs178 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Calle OdeliusBelleville Senators (OTT)D222004-05-30SWEYes201 Lbs183 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Case McCarthyBelleville Senators (OTT)D252001-01-09USAYes198 Lbs185 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Connor CorcoranBelleville Senators (OTT)D262000-08-07CANNo185 Lbs188 CMNoNoFantasy DraftNoNo12025-09-01FalseFalsePro & Farm925,000$0$0$No---------1,000,000$1,000,000$----------------Lien / Lien NHL
David SpacekBelleville Senators (OTT)D232003-02-18CZENo174 Lbs183 CMNoNoTrade2026-01-18NoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Grigori DenisenkoBelleville Senators (OTT)LW262000-06-24RUSNo198 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ivan MiroshnichenkoBelleville Senators (OTT)LW222004-02-04RUSNo185 Lbs185 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Jake MassieBelleville Senators (OTT)D291997-01-27CANNo190 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jesper VikmanBelleville Senators (OTT)G242002-03-11SWENo179 Lbs191 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jon MerrillBelleville Senators (OTT)D341992-02-03USANo204 Lbs191 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jordan DumaisBelleville Senators (OTT)RW222004-04-15CANYes173 Lbs173 CMNoNoTrade2025-11-15NoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Josh DunneBelleville Senators (OTT)C271998-12-08USANo211 Lbs193 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Kenneth ApplebyBelleville Senators (OTT)G311995-04-10CANNo216 Lbs196 CMNoNoFantasy DraftYesNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Lukas RousekBelleville Senators (OTT)RW271999-04-20CZENo171 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Matthew MaggioBelleville Senators (OTT)RW232002-11-25CANNo185 Lbs180 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Nikita AlexandrovBelleville Senators (OTT)C252000-09-16RUSNo177 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Noel GunlerBelleville Senators (OTT)RW242001-10-07SWEYes176 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Oliver KapanenBelleville Senators (OTT)C232003-07-29FINYes194 Lbs188 CMNoNoFantasy DraftNoNo22025-08-17FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Oscar DanskBelleville Senators (OTT)G321994-02-28SWENo204 Lbs191 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Rasmus AsplundBelleville Senators (OTT)C/LW281997-12-03SWENo190 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Remi PoirierBelleville Senators (OTT)G242001-10-06CANNo210 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Travis MitchellBelleville Senators (OTT)D261999-11-25USANo201 Lbs191 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Tristen RobinsBelleville Senators (OTT)C242001-11-15CANNo176 Lbs178 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ty NelsonBelleville Senators (OTT)D222004-03-30CANYes195 Lbs175 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Tye KartyeBelleville Senators (OTT)C/LW252001-04-30CANNo202 Lbs180 CMNoNoTrade2025-11-05NoNo22025-08-17FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien / Lien NHL
Ville KoivunenBelleville Senators (OTT)RW232003-06-13FINYes161 Lbs180 CMNoNoTrade2025-09-04NoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Zach MetsaBelleville Senators (OTT)D271998-10-19USAYes181 Lbs175 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.67189 Lbs183 CM2.331,001,852$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tye Kartye40122
2Ivan MiroshnichenkoAlex Barre-BouletVille Koivunen30122
3Rasmus AsplundNikita AlexandrovLukas Rousek20122
4Grigori DenisenkoOliver KapanenJordan Dumais10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon Merrill40122
2Zach Metsa30122
3Ty NelsonDavid Spacek20122
4Jon Merrill10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tye Kartye60122
2Ivan MiroshnichenkoAlex Barre-BouletVille Koivunen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon Merrill60122
2Zach Metsa40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Alex Barre-BouletNikita Alexandrov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon Merrill60122
2Zach Metsa40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jon Merrill60122
240122Zach Metsa40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Alex Barre-BouletNikita Alexandrov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon Merrill60122
2Zach Metsa40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tye KartyeJon Merrill
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tye KartyeJon Merrill
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Dunne, Matthew Maggio, Rasmus AsplundJosh Dunne, Matthew MaggioRasmus Asplund
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ty Nelson, David Spacek, Ty NelsonDavid Spacek,
Tirs de pénalité
, , Alex Barre-Boulet, Nikita Alexandrov, Tye Kartye
Gardien
#1 : Remi Poirier, #2 : Kenneth Appleby
Lignes d’attaque personnalisées en prolongation
, , Alex Barre-Boulet, Nikita Alexandrov, Tye Kartye, Ivan Miroshnichenko, Ville Koivunen, Rasmus Asplund, Lukas Rousek, Grigori Denisenko
Lignes de défense personnalisées en prolongation
, Jon Merrill, , Zach Metsa, Ty Nelson


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
1Abbotsford Canucks20200000710-31010000045-11010000035-200.00071421001221038911861088106110994975199529333.33%4250.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
2Admirals211000008801010000036-31100000052320.50081624001221038911801088106110994969241937800.00%7185.71%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
3Barracuda220000001239110000008261100000041341.0001221330012210389118910881061109949652110507342.86%4175.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
4Bears321000001293110000003122110000098140.6671222340012210389111101088106110994910042146710440.00%5180.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
5Bridgeport Islanders302001001217-520100100811-31010000046-210.167122234001221038911101108810611099491344338699333.33%16850.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
6Bruins413000001113-22020000069-32110000054120.2501119300012210389111301088106110994915653289717211.76%14378.57%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
7Calgary Wranglers2010100068-21010000014-31000100054120.500611170012210389117610881061109949853922556116.67%11281.82%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
8Charlotte Checkers430010001385220000008532100100053281.0001322350012210389111521088106110994911338348819315.79%15380.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
9Chicago Wolves320000011385210000018621100000052350.8331323360012210389111341088106110994912529126317423.53%60100.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
10Coachella Valley Firebirds21001000853100010003211100000053241.000815230012210389118310881061109949782412453133.33%6183.33%11782331453.77%1498308148.62%703137051.31%2028143518955901034526
11Colorado Eagles20101000770100010004311010000034-120.5007111800122103891168108810611099497220124811327.27%4175.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
12Condors2110000078-11010000024-21100000054120.500713200012210389118610881061109949852116486116.67%7357.14%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
13Griffins42101000141312110000067-12100100086260.7501424380012210389111451088106110994913546379618633.33%16475.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
14Henderson Silver Knights20000011880100000105411000000134-130.750814220012210389118410881061109949621764816318.75%3166.67%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
15IceHogs21100000752110000004131010000034-120.500713200012210389117510881061109949652284413215.38%40100.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
16Laval Rocket4210100016124211000008622100100086260.7501627430012210389111721088106110994914751291032328.70%12375.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
17Monsters3300000014591100000032122000000113861.00014253900122103891116010881061109949902526748225.00%80100.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
18Moose22000000862110000004311100000043141.0008162400122103891172108810611099497120849900.00%40100.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
19Ontario Reign21001000862100010004311100000043141.000814220012210389119210881061109949822412465360.00%50100.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
20Penguins33000000181082200000012751100000063361.0001832500012210389111371088106110994911127206813430.77%90100.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
21Phantoms3110100014104110000006242010100088040.667142640001221038911991088106110994913434206710110.00%9188.89%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
22Rochester Americans312000001013-3211000007611010000037-420.3331019290012210389111341088106110994910935336612433.33%10280.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
23San Diego Gulls20101000990100010004311010000056-120.5009162500122103891190108810611099497217124011327.27%5180.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
24Syracruse Crunch312000001012-21010000036-32110000076120.33310182800122103891112310881061109949942718699333.33%8275.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
25Texas Stars201000107701010000023-11000001054120.50071017001221038911641088106110994981221656600.00%7185.71%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
26Thunderbirds20200000711-41010000056-11010000025-300.000713200012210389116910881061109949822110495120.00%5260.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
27Toronto Marlies4310000010732110000056-12200000051460.750101929011221038911149108810611099491454722881300.00%110100.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
28Tucson Roadrunners220000001477110000007251100000075241.0001427410012210389118310881061109949701521535120.00%8187.50%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
29Utica Comets3300000016972200000013761100000032161.000162945001221038911145108810611099498014136811436.36%4325.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
30Wild220000001459110000007251100000073441.000142741001221038911106108810611099496819193714321.43%7185.71%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
31Wolf Pack30300000511-61010000013-22020000048-400.000591400122103891193108810611099491013514669111.11%7357.14%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
Total8240280912232527055411915041111641372741211305011161133281050.640325587912011221038911328710881061109949295689157019063327121.39%2415178.84%11782331453.77%1498308148.62%703137051.31%2028143518955901034526
_Since Last GM Reset8240280912232527055411915041111641372741211305011161133281050.640325587912011221038911328710881061109949295689157019063327121.39%2415178.84%11782331453.77%1498308148.62%703137051.31%2028143518955901034526
_Vs Conference502717041011881573125149001019784132513804000917318640.640188336524011221038911198410881061109949177454635811491984321.72%1503378.00%01782331453.77%1498308148.62%703137051.31%2028143518955901034526
_Vs Division26131003000847861367000004345-213730300041338320.615841482320112210389111005108810611099498992972016071112018.02%861780.23%01782331453.77%1498308148.62%703137051.31%2028143518955901034526

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82105W232558791232872956891570190601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240289122325270
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119154111164137
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4121135011161133
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3327121.39%2415178.84%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
108810611099491221038911
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
1782331453.77%1498308148.62%703137051.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2028143518955901034526


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
3 - 2025-09-2811Belleville Senators3Syracruse Crunch4LSommaire du match
5 - 2025-09-3027Belleville Senators3Charlotte Checkers2WSommaire du match
7 - 2025-10-0241Admirals6Belleville Senators3LSommaire du match
9 - 2025-10-0457Belleville Senators3Rochester Americans7LSommaire du match
10 - 2025-10-0563Coachella Valley Firebirds2Belleville Senators3WXSommaire du match
12 - 2025-10-0777Bridgeport Islanders4Belleville Senators2LSommaire du match
15 - 2025-10-1099Condors4Belleville Senators2LSommaire du match
17 - 2025-10-12112Phantoms2Belleville Senators6WSommaire du match
19 - 2025-10-14135Belleville Senators3Bears4LSommaire du match
21 - 2025-10-16149Bruins4Belleville Senators2LSommaire du match
22 - 2025-10-17160Belleville Senators3IceHogs4LSommaire du match
24 - 2025-10-19168Calgary Wranglers4Belleville Senators1LSommaire du match
26 - 2025-10-21187Belleville Senators3Laval Rocket2WXSommaire du match
31 - 2025-10-26218Belleville Senators2Bruins3LSommaire du match
33 - 2025-10-28232Belleville Senators2Phantoms3LSommaire du match
34 - 2025-10-29247Tucson Roadrunners2Belleville Senators7WSommaire du match
36 - 2025-10-31258Texas Stars3Belleville Senators2LSommaire du match
38 - 2025-11-02271Bruins5Belleville Senators4LSommaire du match
40 - 2025-11-04286Ontario Reign3Belleville Senators4WXSommaire du match
45 - 2025-11-09329Belleville Senators5San Diego Gulls6LSommaire du match
47 - 2025-11-11342Belleville Senators4Barracuda1WSommaire du match
49 - 2025-11-13359Belleville Senators4Ontario Reign3WSommaire du match
51 - 2025-11-15373Belleville Senators3Henderson Silver Knights4LXXSommaire du match
53 - 2025-11-17382Belleville Senators2Thunderbirds5LSommaire du match
55 - 2025-11-19405Belleville Senators5Texas Stars4WXXSommaire du match
57 - 2025-11-21411Belleville Senators5Laval Rocket4WSommaire du match
59 - 2025-11-23427Wolf Pack3Belleville Senators1LSommaire du match
61 - 2025-11-25445Thunderbirds6Belleville Senators5LSommaire du match
64 - 2025-11-28467Utica Comets5Belleville Senators6WSommaire du match
66 - 2025-11-30486Belleville Senators4Monsters1WSommaire du match
68 - 2025-12-02496Belleville Senators7Wild3WSommaire du match
70 - 2025-12-04516Belleville Senators4Moose3WSommaire du match
73 - 2025-12-07537Penguins2Belleville Senators6WSommaire du match
75 - 2025-12-09551IceHogs1Belleville Senators4WSommaire du match
76 - 2025-12-10564Belleville Senators3Bruins1WSommaire du match
78 - 2025-12-12578Rochester Americans1Belleville Senators5WSommaire du match
82 - 2025-12-16590Belleville Senators2Toronto Marlies0WSommaire du match
84 - 2025-12-18606Monsters2Belleville Senators3WSommaire du match
87 - 2025-12-21632Bears1Belleville Senators3WSommaire du match
89 - 2025-12-23650Moose3Belleville Senators4WSommaire du match
91 - 2025-12-25664Griffins1Belleville Senators3WSommaire du match
93 - 2025-12-27680Belleville Senators7Tucson Roadrunners5WSommaire du match
94 - 2025-12-28691Belleville Senators3Colorado Eagles4LSommaire du match
96 - 2025-12-30704Charlotte Checkers3Belleville Senators5WSommaire du match
99 - 2026-01-02725Abbotsford Canucks5Belleville Senators4LSommaire du match
100 - 2026-01-03737Belleville Senators1Wolf Pack2LSommaire du match
103 - 2026-01-06758Laval Rocket4Belleville Senators3LSommaire du match
104 - 2026-01-07768Belleville Senators4Griffins3WSommaire du match
106 - 2026-01-09782Belleville Senators7Monsters2WSommaire du match
108 - 2026-01-11798Belleville Senators5Admirals2WSommaire du match
110 - 2026-01-13813Chicago Wolves3Belleville Senators6WSommaire du match
111 - 2026-01-14821Henderson Silver Knights4Belleville Senators5WXXSommaire du match
114 - 2026-01-17841Colorado Eagles3Belleville Senators4WXSommaire du match
117 - 2026-01-20866Utica Comets2Belleville Senators7WSommaire du match
119 - 2026-01-22877Belleville Senators6Penguins3WSommaire du match
120 - 2026-01-23890Belleville Senators5Chicago Wolves2WSommaire du match
122 - 2026-01-25907Belleville Senators6Phantoms5WXSommaire du match
143 - 2026-02-15920Griffins6Belleville Senators3LSommaire du match
145 - 2026-02-17939Belleville Senators3Toronto Marlies1WSommaire du match
148 - 2026-02-20966Belleville Senators5Condors4WSommaire du match
150 - 2026-02-22981Belleville Senators5Calgary Wranglers4WXSommaire du match
152 - 2026-02-241000Belleville Senators5Coachella Valley Firebirds3WSommaire du match
154 - 2026-02-261011Belleville Senators3Abbotsford Canucks5LSommaire du match
156 - 2026-02-281025Laval Rocket2Belleville Senators5WSommaire du match
159 - 2026-03-031043San Diego Gulls3Belleville Senators4WXSommaire du match
160 - 2026-03-041058Barracuda2Belleville Senators8WSommaire du match
163 - 2026-03-071079Belleville Senators6Bears4WSommaire du match
164 - 2026-03-081084Bridgeport Islanders7Belleville Senators6LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2026-03-101106Toronto Marlies5Belleville Senators3LSommaire du match
168 - 2026-03-121119Belleville Senators3Wolf Pack6LSommaire du match
169 - 2026-03-131122Belleville Senators4Griffins3WXSommaire du match
171 - 2026-03-151138Penguins5Belleville Senators6WSommaire du match
173 - 2026-03-171152Belleville Senators4Syracruse Crunch2WSommaire du match
176 - 2026-03-201181Belleville Senators2Charlotte Checkers1WXSommaire du match
178 - 2026-03-221191Rochester Americans5Belleville Senators2LSommaire du match
180 - 2026-03-241208Wild2Belleville Senators7WSommaire du match
181 - 2026-03-251225Chicago Wolves3Belleville Senators2LXXSommaire du match
183 - 2026-03-271234Syracruse Crunch6Belleville Senators3LSommaire du match
185 - 2026-03-291249Charlotte Checkers2Belleville Senators3WSommaire du match
187 - 2026-03-311262Belleville Senators4Bridgeport Islanders6LSommaire du match
188 - 2026-04-011279Belleville Senators3Utica Comets2WSommaire du match
191 - 2026-04-041304Toronto Marlies1Belleville Senators2WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance76,82038,386
Assistance PCT93.68%93.62%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2810 - 93.66% 116,248$4,766,155$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,802,877$ 2,705,000$ 2,705,000$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,836,740$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 27,109$ 0$




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