Connexion

Belleville Senators
GP: 72 | W: 25 | L: 42 | OTL: 5 | P: 55
GF: 163 | GA: 276 | PP%: 16.08% | PK%: 78.76%
DG: Martin Dore | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Laval Rocket
28-36-8, 64pts
2
FINAL
5 Belleville Senators
25-42-5, 55pts
Team Stats
L2SéquenceW5
13-20-3Fiche domicile16-18-2
15-16-5Fiche domicile9-24-3
4-4-2Derniers 10 matchs6-4-0
2.21Buts par match 2.26
3.19Buts contre par match 3.83
20.90%Pourcentage en avantage numérique16.08%
79.62%Pourcentage en désavantage numérique78.76%
Belleville Senators
25-42-5, 55pts
7
FINAL
0 Laval Rocket
28-36-8, 64pts
Team Stats
W5SéquenceL2
16-18-2Fiche domicile13-20-3
9-24-3Fiche domicile15-16-5
6-4-0Derniers 10 matchs4-4-2
2.26Buts par match 2.21
3.83Buts contre par match 3.19
16.08%Pourcentage en avantage numérique20.90%
78.76%Pourcentage en désavantage numérique79.62%
Meneurs d'équipe
Buts
Riley Barber
5
Passes
Morgan Frost
9
Points
Morgan Frost
12
Plus/Moins
Morgan Frost
10
Victoires
Samuel Ersson
5
Pourcentage d’arrêts
Samuel Ersson
0.944

Statistiques d’équipe
Buts pour
163
2.26 GFG
Tirs pour
1903
26.43 Avg
Pourcentage en avantage numérique
16.1%
23 GF
Début de zone offensive
32.7%
Buts contre
276
3.83 GAA
Tirs contre
2571
35.71 Avg
Pourcentage en désavantage numérique
78.8%%
24 GA
Début de la zone défensive
42.6%
Informations de l'équipe

Directeur généralMartin Dore
EntraîneurOttawa
DivisionNORTHEAST
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,917
Billets de saison450


Informations de la formation

Équipe Pro35
Équipe Mineure21
Limite contact 56 / 250
Espoirs57


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
1Joseph LaBateX100.00827155579182805658555861577072495000302700,000$
2Riley BarberX100.00643882657589836665616460656971405000292800,000$
3Dominic ToninatoX100.00713988648182856273605974626971474100291750,000$
4Kieffer Bellows (R)X100.00784285667680756468696260636567804500252750,000$
5Morgan Frost (R)X100.00643391756686907377726762716466784600244800,000$
6Cameron HillisX100.00553687586775675671525054576365665000231842,500$
7Liam FoudyX100.00643695727880776763616269656263825000231750,000$
8Connor ZaryX100.00614075637089836272646158626364815000221925,000$
9Lukas ReichelX100.00583695706885876770686462696163835000213925,000$
10Linus Karlsson (R)X100.00644171637389736265616359626466625000231842,500$
11Kyle BurroughsX100.00906869657386766430635677506768414000281700,000$
12Urho Vaakanainen (R)X100.00693788658086746330655864506466814700241832,500$
13Jakub GalvasX100.00563691636585845930605264476466485000244892,500$
14Nils LundkvistX100.00613490727086826930716456546264804500231925,000$
15Ryker Evans (R)X100.00594071616873725930675456486264765000211842,500$
Rayé
1Daniel CarrXX100.00403540403580904020404040302525115000311700,000$
2Kenny AgostinoX100.00403540403580904020404040302525115000311750,000$
3Tyler GraovacX100.00403540403580904020404040302525115000302700,000$
4Tom KuhnhacklXX100.00403540403580904020404040302525115000312700,000$
5Kyle RauX100.00553780636482846273616256637173495000302700,000$
6Kevin RoyX100.00403540403580904020404040302525115000302700,000$
7Peter CehlarikX100.00403540403580904020404040302525115000281700,000$
8Nolan Patrick (R)X100.004035404035809040204040403025251150002521,000,000$
9Nicholas Caamano (R)X100.00403540403580904020404040302525115000253702,020$
10Matej PekarX100.00653972547473705362555154526365625000231750,000$
11Lukas Svejkovsky (R)X100.00633595566381685560585352546264615000212842,500$
12Rob O'GaraX100.00403540403580904020404040302525115000302700,000$
13Jake BischoffX100.00663887557568695330565457466971405000292750,000$
14Lawrence Pilut (R)X100.00603883657180716330666064516869365000271925,000$
15Adam Wilsby (R)X100.00663986557564735430575155456365615000232830,000$
16Jeremy Davies (R)X100.00594069636879846430675860516769425000263702,020$
MOYENNE D’ÉQUIPE100.0058397056618181554356535549535547490
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
1Magnus Hellberg100.0052997296546769697054747386994700324750,000$
2Samuel Ersson (R)100.0063997976666870707158736471995000231842,500$
Rayé
1Evan Cormier (R)100.0047855783485454555543666575995000253735,000$
2Arvid Soderblom100.0059997879626769697055736471995000241925,000$
MOYENNE D’ÉQUIPE100.005596728458646666675372677699490
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ottawa30303030303011CAN43140,000$


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
1Morgan FrostBelleville Senators (OTT)C5391210000112961510.34%212725.4101118101171089.01%9100001.8900000121
2Nils LundkvistBelleville Senators (OTT)D529117207193322.22%512725.4511251001106000%000001.7300000021
3Dominic ToninatoBelleville Senators (OTT)C54482004112451616.67%112024.12224410000031087.80%4100001.3300000101
4Liam FoudyBelleville Senators (OTT)C54371000102361117.39%111623.32134312000032185.48%6200001.2000000100
5Kyle BurroughsBelleville Senators (OTT)D16246-237588141791311.76%2524615.380002200001010%000000.4923100110
6Riley BarberBelleville Senators (OTT)RW5516820332051525.00%010220.49000290000010100.00%200011.1700000100
7Lukas ReichelBelleville Senators (OTT)LW5246900410257128.00%112424.9601137011070075.00%800000.9600000101
8Urho VaakanainenBelleville Senators (OTT)D50444601003010%712224.460112900003000%000000.6500000000
9Connor ZaryBelleville Senators (OTT)C521350043131815.38%06613.2600011000060087.50%4000000.9100000001
10Cameron HillisBelleville Senators (OTT)C5022300349090%0469.3400012000000075.00%400000.8600000000
11Joseph LaBateBelleville Senators (OTT)C50114408390100%17114.3900013000020093.33%1500000.2800000000
12Kieffer BellowsBelleville Senators (OTT)LW50111201334340%210320.610001900001000%000000.1900000010
13Jordan HarrisOttawa SenatorsD21013001340025.00%15226.291012400000000%000000.3800000000
14Nathan WalkerOttawa SenatorsLW2000000225240%04623.38000250000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne7525436855535147781944712112.89%46147419.66591430981231455287.50%26400010.9223100665
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
1Samuel ErssonBelleville Senators (OTT)55000.9440.60300033540000050000
Statistiques d’équipe totales ou en moyenne55000.9440.6030003354000050000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam WilsbyBelleville Senators (OTT)D238/7/2000Yes188 Lbs6 ft1NoNoN/ANoNo2Pro & Farm830,000$0$0$No830,000$--------No--------Lien
Arvid SoderblomBelleville Senators (OTT)G248/19/1999No180 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Lien
Cameron HillisBelleville Senators (OTT)C236/24/2000No175 Lbs5 ft9NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Lien
Connor ZaryBelleville Senators (OTT)C229/25/2001No178 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Lien
Daniel CarrBelleville Senators (OTT)LW/RW3111/1/1991No186 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Dominic ToninatoBelleville Senators (OTT)C293/9/1994No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Evan CormierBelleville Senators (OTT)G2511/6/1997Yes200 Lbs6 ft3NoNoN/ANoNo3Pro & Farm735,000$0$0$No735,000$735,000$-------NoNo-------Lien
Jake BischoffBelleville Senators (OTT)D297/25/1994No188 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Jakub GalvasBelleville Senators (OTT)D246/15/1999No161 Lbs5 ft11NoNoN/ANoNo4Pro & Farm892,500$0$0$No892,500$892,500$892,500$------NoNoNo------Lien
Jeremy DaviesBelleville Senators (OTT)D2612/4/1996Yes180 Lbs5 ft11NoNoN/ANoNo3Pro & Farm702,020$0$0$No702,020$702,020$-------NoNo-------Lien
Joseph LaBateBelleville Senators (OTT)C304/16/1993 9:50:35 AMNo210 Lbs6 ft5NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Kenny AgostinoBelleville Senators (OTT)LW314/30/1992No204 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Kevin RoyBelleville Senators (OTT)C305/20/1993No172 Lbs5 ft9NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Kieffer BellowsBelleville Senators (OTT)LW256/10/1998Yes195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Kyle BurroughsBelleville Senators (OTT)D287/12/1995 9:53:00 AMNo193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Kyle RauBelleville Senators (OTT)C3010/24/1992No171 Lbs5 ft9NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Lawrence PilutBelleville Senators (OTT)D2712/30/1995Yes194 Lbs5 ft11NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Lien
Liam FoudyBelleville Senators (OTT)C232/4/2000No188 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Linus KarlssonBelleville Senators (OTT)RW2311/16/1999Yes178 Lbs6 ft1NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Lien
Lukas ReichelBelleville Senators (OTT)LW215/17/2002No170 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------Lien
Lukas SvejkovskyBelleville Senators (OTT)RW2111/28/2001Yes165 Lbs5 ft10NoNoN/ANoNo2Pro & Farm842,500$0$0$No842,500$--------No--------Lien
Magnus HellbergBelleville Senators (OTT)G324/4/1991No220 Lbs6 ft6NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------Lien
Matej PekarBelleville Senators (OTT)LW232/10/2000No185 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Morgan FrostBelleville Senators (OTT)C245/14/1999Yes170 Lbs5 ft11NoNoN/ANoNo4Pro & Farm800,000$0$0$No800,000$800,000$800,000$------NoNoNo------Lien
Nicholas CaamanoBelleville Senators (OTT)RW259/7/1998Yes195 Lbs6 ft2NoNoN/ANoNo3Pro & Farm702,020$0$0$No702,020$702,020$-------NoNo-------Lien
Nils LundkvistBelleville Senators (OTT)D237/27/2000No190 Lbs5 ft11NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Lien
Nolan PatrickBelleville Senators (OTT)C259/19/1998Yes201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Peter CehlarikBelleville Senators (OTT)LW288/2/1995No202 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Riley BarberBelleville Senators (OTT)RW292/7/1994 9:57:08 AMNo199 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Rob O'GaraBelleville Senators (OTT)D307/6/1993No214 Lbs6 ft4NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Ryker EvansBelleville Senators (OTT)D2112/13/2001Yes189 Lbs5 ft10NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Lien
Samuel ErssonBelleville Senators (OTT)G2310/20/1999Yes176 Lbs6 ft2NoNoN/ANoNo1Pro & Farm842,500$0$0$No------------------Lien
Tom KuhnhacklBelleville Senators (OTT)LW/RW311/21/1992No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Tyler GraovacBelleville Senators (OTT)C304/27/1993No208 Lbs6 ft5NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Urho VaakanainenBelleville Senators (OTT)D241/1/1999Yes200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm832,500$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3526.09189 Lbs6 ft11.83790,901$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelMorgan FrostRiley Barber38122
2Liam FoudyDominic Toninato30122
3Kieffer BellowsDominic ToninatoMorgan Frost22122
4Lukas ReichelConnor ZaryLiam Foudy10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nils Lundkvist38122
2Urho VaakanainenKieffer Bellows30122
3Nils Lundkvist22122
4Urho Vaakanainen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelMorgan FrostRiley Barber60122
2Liam FoudyDominic Toninato40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nils Lundkvist60122
2Urho VaakanainenKieffer Bellows40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostLukas Reichel60122
2Liam FoudyDominic Toninato40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nils Lundkvist60122
2Urho Vaakanainen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Morgan Frost60122Nils Lundkvist60122
2Lukas Reichel40122Urho Vaakanainen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostLukas Reichel60122
2Liam FoudyDominic Toninato40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nils Lundkvist60122
2Urho Vaakanainen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelMorgan FrostRiley BarberNils Lundkvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelMorgan FrostRiley BarberNils Lundkvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joseph LaBate, Cameron Hillis, Connor ZaryJoseph LaBate, Cameron HillisConnor Zary
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Nils Lundkvist, Urho VaakanainenNils Lundkvist, Urho Vaakanainen
Tirs de pénalité
Morgan Frost, Lukas Reichel, Liam Foudy, Dominic Toninato,
Gardien
#1 : Samuel Ersson, #2 : Magnus Hellberg


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
1Bridgeport Islanders220000001055110000005231100000053241.00010203000644948594632642612395588473133.33%3166.67%0646142145.46%719184838.91%418107438.92%13069392279477764332
2Cleveland Monsters40400000220-182020000028-620200000012-1200.00024600644948533632642612391334019431600.00%6266.67%0646142145.46%719184838.91%418107438.92%13069392279477764332
3Grand Rapids Griffins40400000223-2120200000114-132020000019-800.00023500644948535632642612392115318566116.67%8275.00%0646142145.46%719184838.91%418107438.92%13069392279477764332
4Hartford Wolf Pack220000001156110000006421100000051441.000112132006449485906326426123948121039200.00%4175.00%0646142145.46%719184838.91%418107438.92%13069392279477764332
5Hershey Bears20100010660100000104311010000023-120.50061016006449485696326426123975236525240.00%30100.00%0646142145.46%719184838.91%418107438.92%13069392279477764332
6Laval Rocket1245000033740-3622000021921-2623000011819-1110.458377110801644948531963264261239321836519534617.65%24675.00%1646142145.46%719184838.91%418107438.92%13069392279477764332
7LeHigh Valley Phantoms21000001550110000002111000000134-130.75051015006449485666326426123960196472150.00%30100.00%0646142145.46%719184838.91%418107438.92%13069392279477764332
8Manitoba Moose4200011014113210000106332100010088070.87514264000644948519763264261239166391298200.00%6183.33%0646142145.46%719184838.91%418107438.92%13069392279477764332
9Milwaukee Admirals21100000871110000005231010000035-220.50081624106449485776326426123967200694250.00%000%0646142145.46%719184838.91%418107438.92%13069392279477764332
10Rochester Americans826000001021-1140400000214-124220000087140.25010192902644948516263264261239231591911616212.50%7357.14%0646142145.46%719184838.91%418107438.92%13069392279477764332
11Springfield Thunderbirds21100000660110000004221010000024-220.5006121800644948592632642612395418434500.00%20100.00%0646142145.46%719184838.91%418107438.92%13069392279477764332
12Syracuse Crunch817000001543-28413000001119-840400000424-2020.125152944006449485150632642612393461144014420420.00%14471.43%0646142145.46%719184838.91%418107438.92%13069392279477764332
13Toronto Marlies107300000332585500000018810523000001517-2140.700336699006449485406632642612393761202025916318.75%100100.00%1646142145.46%719184838.91%418107438.92%13069392279477764332
14Utica Comets80800000449-4540400000025-2540400000424-2000.0004812006449485966326426123934711234991119.09%16475.00%0646142145.46%719184838.91%418107438.92%13069392279477764332
15Wilkes-Barre/Scranton Penguins20200000010-101010000004-41010000006-600.000000006449485176326426123981241426100.00%70100.00%0646142145.46%719184838.91%418107438.92%13069392279477764332
Total72234200124163276-1133614180002285130-45369240010278146-68550.382163315478136449485190363264261239257174427513241432316.08%1132478.76%2646142145.46%719184838.91%418107438.92%13069392279477764332
_Since Last GM Reset72234200124163276-1133614180002285130-45369240010278146-68550.382163315478136449485190363264261239257174427513241432316.08%1132478.76%2646142145.46%719184838.91%418107438.92%13069392279477764332
_Vs Conference60213200124145220-753012140002273104-31309180010272116-44510.425145280425036449485166663264261239210661323411221122017.86%972079.38%2646142145.46%719184838.91%418107438.92%13069392279477764332
_Vs Division2213140000338100-621176000021947-281168000011953-34290.6593873111006449485465632642612397992389735340512.50%42880.95%0646142145.46%719184838.91%418107438.92%13069392279477764332

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7255W516331547819032571744275132413
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7223420124163276
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
361418002285130
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36924010278146
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1432316.08%1132478.76%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
632642612396449485
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
646142145.46%719184838.91%418107438.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13069392279477764332


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
517Belleville Senators2Hershey Bears3ALSommaire du match
625Belleville Senators3LeHigh Valley Phantoms4ALXXSommaire du match
1250Laval Rocket3Belleville Senators2BLXXSommaire du match
1667Milwaukee Admirals2Belleville Senators5BWSommaire du match
1878Toronto Marlies1Belleville Senators2BWSommaire du match
1991Toronto Marlies1Belleville Senators2BWSommaire du match
25118Belleville Senators2Springfield Thunderbirds4ALSommaire du match
26125Belleville Senators0Wilkes-Barre/Scranton Penguins6ALSommaire du match
30146Syracuse Crunch5Belleville Senators4BLSommaire du match
32153Cleveland Monsters4Belleville Senators1BLSommaire du match
34173Cleveland Monsters4Belleville Senators1BLSommaire du match
37186Belleville Senators2Laval Rocket1AWSommaire du match
39194Manitoba Moose2Belleville Senators3BWXXSommaire du match
40211LeHigh Valley Phantoms1Belleville Senators2BWSommaire du match
47260Belleville Senators5Hartford Wolf Pack1AWSommaire du match
48263Belleville Senators5Bridgeport Islanders3AWSommaire du match
51270Belleville Senators1Utica Comets4ALSommaire du match
53279Rochester Americans3Belleville Senators1BLSommaire du match
54296Rochester Americans4Belleville Senators0BLSommaire du match
58312Belleville Senators1Laval Rocket3ALSommaire du match
60317Grand Rapids Griffins7Belleville Senators1BLSommaire du match
61334Grand Rapids Griffins7Belleville Senators0BLSommaire du match
66357Belleville Senators0Cleveland Monsters6ALSommaire du match
67360Belleville Senators0Cleveland Monsters6ALSommaire du match
73400Wilkes-Barre/Scranton Penguins4Belleville Senators0BLSommaire du match
74405Toronto Marlies3Belleville Senators5BWSommaire du match
78425Belleville Senators3Toronto Marlies4ALSommaire du match
80436Laval Rocket3Belleville Senators5BWSommaire du match
82451Belleville Senators4Toronto Marlies5ALSommaire du match
89487Belleville Senators5Manitoba Moose4AWSommaire du match
90505Belleville Senators3Manitoba Moose4ALXSommaire du match
93512Manitoba Moose1Belleville Senators3BWSommaire du match
95519Belleville Senators4Toronto Marlies3AWSommaire du match
97545Toronto Marlies1Belleville Senators4BWSommaire du match
100557Belleville Senators0Utica Comets6ALSommaire du match
102568Belleville Senators3Laval Rocket4ALXXSommaire du match
103580Laval Rocket5Belleville Senators1BLSommaire du match
107604Belleville Senators3Milwaukee Admirals5ALSommaire du match
109610Belleville Senators1Grand Rapids Griffins6ALSommaire du match
110627Belleville Senators0Grand Rapids Griffins3ALSommaire du match
120656Belleville Senators1Syracuse Crunch8ALSommaire du match
121674Belleville Senators0Syracuse Crunch5ALSommaire du match
123687Utica Comets7Belleville Senators0BLSommaire du match
124701Utica Comets8Belleville Senators0BLSommaire du match
128720Syracuse Crunch7Belleville Senators0BLSommaire du match
130726Toronto Marlies2Belleville Senators5BWSommaire du match
131738Belleville Senators2Utica Comets6ALSommaire du match
133756Hershey Bears3Belleville Senators4BWXXSommaire du match
135765Belleville Senators1Rochester Americans4ALSommaire du match
137775Belleville Senators0Rochester Americans3ALSommaire du match
138788Belleville Senators1Syracuse Crunch7ALSommaire du match
142809Utica Comets5Belleville Senators0BLSommaire du match
144820Rochester Americans4Belleville Senators0BLSommaire du match
145834Rochester Americans3Belleville Senators1BLSommaire du match
149850Belleville Senators2Toronto Marlies1AWSommaire du match
152875Belleville Senators1Utica Comets8ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
156898Utica Comets5Belleville Senators0BLSommaire du match
158905Belleville Senators2Syracuse Crunch4ALSommaire du match
159919Bridgeport Islanders2Belleville Senators5BWSommaire du match
165953Laval Rocket4Belleville Senators3BLSommaire du match
166965Laval Rocket4Belleville Senators3BLXXSommaire du match
167973Hartford Wolf Pack4Belleville Senators6BWSommaire du match
1721000Belleville Senators3Laval Rocket5ALSommaire du match
1731008Belleville Senators2Laval Rocket6ALSommaire du match
1791037Springfield Thunderbirds2Belleville Senators4BWSommaire du match
1801050Syracuse Crunch6Belleville Senators3BLSommaire du match
1841070Belleville Senators2Toronto Marlies4ALSommaire du match
1861082Belleville Senators2Rochester Americans0AWSommaire du match
1871090Belleville Senators5Rochester Americans0AWSommaire du match
1911111Syracuse Crunch1Belleville Senators4BWSommaire du match
1931121Laval Rocket2Belleville Senators5BWSommaire du match
1941134Belleville Senators7Laval Rocket0AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3014
Assistance69,73535,275
Assistance PCT96.85%97.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2917 - 97.23% 84,760$3,051,360$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,102,986$ 2,768,154$ 2,540,606$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,123$ 3,102,986$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,123$ 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