BELLEVILLE Senators

GP: 70 | W: 28 | L: 40 | OTL: 2 | P: 58
GF: 288 | GA: 277 | PP%: 24.03% | PK%: 82.09%
DG: Miguel Tousignant | Morale : 89 | Moyenne d'Équipe : 63
Prochain matchs #922 vs COLORADO Eagles
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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 SP
1Sam Bennett0X100.007553566976818468756868626862548880700
2Colin White0X100.005935767371858472827668627054518285700
3Michael Raffl0X100.007235706774788066646764666566553496690
4Nic Dowd0X100.007335736880757767796965726658524080690
5Andrew Mangiapane0X100.006335736867707267666567596752514999650
6Alex Formenton0X100.006535765873785458606060645950507499620
7Matt Puempel0X100.005435666978535469506565526653517780610
8Kurtis Gabriel0X100.007488636086566160505757555852506199600
9Andrew Poturalski0X100.005089657066505070506464556450504299590
10Jordan Schroeder0XX100.005089717063505070506363506357526680590
11Nicklas Jensen0X100.005237736981495163305360545860477180590
12Sam Anas0XX100.005089707061505070506060506050504280580
13Troy Stecher0X100.006935796768849167306858756859534256700
14Travis Dermott0X100.007435776675807766306562726954517795680
15Casey Nelson0X100.006744786374746962306156706554513799640
16Matt Tennyson0X100.005835656681515266304944515555523680560
Rayé
MOYENNE D'ÉQUIPE100.00635071677367666652636161645551578764
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 SP
1Dylan Ferguson (R)100.00655656786530656666666250585076550
Rayé
MOYENNE D'ÉQUIPE100.0065565678653065666666625058507655
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
mig60606060616199CAN363500,000$


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
1Sam AnasBELLEVILLE Senators (OTW)C/RW705991150982957615043811730113.47%73121217.3236937920000113058.07%83000062.4700010993
2Nic DowdBELLEVILLE Senators (OTW)C70111121233310017017854117639420.52%222139119.89178256711110115615071.81%1433000181.77110001263
3Jordan SchroederBELLEVILLE Senators (OTW)C/RW70525010255235461013578924314.57%7080111.4581119761400002394060.64%97300082.55000010610
4Nicklas JensenBELLEVILLE Senators (OTW)RW70293564436036452006712514.50%285427.763582145000000254.17%4800032.3600000214
5Matt PuempelBELLEVILLE Senators (OTW)LW701836544316049321405111112.86%134977.1000000000003056.76%3700012.1700000011
6Matt TennysonBELLEVILLE Senators (OTW)D708344234801555674294810.81%12186412.350000000000220.00%000000.9700000131
Stats d'équipe Total ou en Moyenne420277258535275132105325621750529122215.83%527531012.64313061201390101310627464.68%3321000362.0211011242622
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
1Dylan FergusonBELLEVILLE Senators (OTW)70284020.9273.8841346226736550801.000370701254
Stats d'équipe Total ou en Moyenne70284020.9273.8841346226736550801.000370701254


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex FormentonBELLEVILLE Senators (OTW)LW191999-09-13No75 Kg188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Andrew MangiapaneBELLEVILLE Senators (OTW)LW231996-04-04No84 Kg178 CMNoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Andrew PoturalskiBELLEVILLE Senators (OTW)C251994-01-14No82 Kg178 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Casey NelsonBELLEVILLE Senators (OTW)D271992-07-18No84 Kg185 CMNoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien
Colin WhiteBELLEVILLE Senators (OTW)C221997-01-30No83 Kg183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Dylan FergusonBELLEVILLE Senators (OTW)G201998-09-20Yes86 Kg185 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Jordan SchroederBELLEVILLE Senators (OTW)C/RW281990-09-29No77 Kg175 CMNoNoNo1Sans RestrictionPro & Farm550,000$0$0$NoLien
Kurtis GabrielBELLEVILLE Senators (OTW)RW261993-04-20No91 Kg193 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Matt PuempelBELLEVILLE Senators (OTW)LW261993-01-24No93 Kg185 CMNoNoNo1Avec RestrictionPro & Farm850,000$0$0$NoLien
Matt TennysonBELLEVILLE Senators (OTW)D291990-04-23No93 Kg188 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien
Michael RafflBELLEVILLE Senators (OTW)LW301988-12-01No91 Kg183 CMNoNoNo6Sans RestrictionPro & Farm1,600,000$0$0$NoLien
Nic DowdBELLEVILLE Senators (OTW)C291990-05-27No90 Kg188 CMNoNoNo3Sans RestrictionPro & Farm750,000$0$0$NoLien
Nicklas JensenBELLEVILLE Senators (OTW)RW261993-03-06No98 Kg191 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Sam AnasBELLEVILLE Senators (OTW)C/RW261993-06-01No74 Kg173 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Sam BennettBELLEVILLE Senators (OTW)C231996-06-20No89 Kg185 CMNoNoNo4Avec RestrictionPro & Farm2,400,000$0$0$NoLien
Travis DermottBELLEVILLE Senators (OTW)D221996-12-22No93 Kg183 CMNoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Troy StecherBELLEVILLE Senators (OTW)D271992-01-09 13:57:58No85 Kg178 CMNoNoNo1Avec RestrictionPro & Farm2,300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1725.1886 Kg183 CM2.061,002,941$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nic Dowd31122
2Jordan SchroederSam Anas26122
3Matt PuempelSam AnasNicklas Jensen23122
420122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
131122
226122
3Matt Tennyson23122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nic DowdJordan Schroeder55122
2Jordan SchroederSam Anas45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nic Dowd55122
2Jordan Schroeder45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nic Dowd5512255122
2Jordan Schroeder4512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nic Dowd55122
2Jordan Schroeder45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nic DowdJordan Schroeder
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nic DowdJordan Schroeder
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Schroeder, Sam Anas, Jordan Schroeder, Sam AnasJordan Schroeder
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Matt Tennyson,
Tirs de Pénalité
, , Nic Dowd, Matt Puempel, Jordan Schroeder
Gardien
#1 : , #2 : Dylan Ferguson
Lignes d'Attaque Perso. en Prol.
, , Nic Dowd, Matt Puempel, Jordan Schroeder, Sam Anas, Sam Anas, , , , Nicklas Jensen
Lignes de Défense Perso. en Prol.
, , , ,


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
LigueDomicileVisiteur
# 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 Sound Tigers20200000311-81010000017-61010000024-200.0003470012498651237498408633139464185120.00%20100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
2BROOKLYN Wolfpack110000001421211000000142120000000000021.00014213500124986511267498408633213220000.00%10100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
3CHICAGO Wolves20200000316-1310100000111-101010000025-300.000369001249865138749840863313425815000.00%2150.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
4CLEVELAND Monsters22000000208121100000094511000000114741.0002029490012498651112749840863378148596233.33%220.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
5COLORADO Eagles1010000029-7000000000001010000029-700.000235001249865116749840863366162104125.00%000.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
6CORNWALL Aces550000004554033000000253222200000020218101.00045681130012498651399749840863316832476000.00%20100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
7HERSEY Bears30300000513-82020000038-51010000025-300.000551000124986514574984086331432812253133.33%6266.67%0875158555.21%1063239444.40%610115452.86%12339222274424697304
8HOLLYWOOD Oscar220000002742322000000274230000000000041.000273966001249865120974984086334715246000.00%000.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
9IOWA Wild4210001025141121100000106421000010158760.750253358001249865116574984086332156612655240.00%6183.33%0875158555.21%1063239444.40%610115452.86%12339222274424697304
10LAVAL Rockets2110000036-3110000002111010000015-420.500358001249865130749840863313540419500.00%20100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
11LEHIGH VALLEY Phantoms514000001421-72020000049-5312000001012-220.200142135001249865198749840863326686114011327.27%20100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
12MANITOBA Moose30300000514-92020000028-61010000036-300.0005712001249865165749840863318354229700.00%110.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
13MILWAUKEE Admirals20200000314-111010000017-61010000027-500.000347001249865138749840863315135622600.00%2150.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
14MONT-LAURIER Sommet40300100719-122010010058-320200000211-910.12571219001249865173749840863327882646600.00%30100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
15PROVIDENCE Bruins20100100210-81010000007-71000010023-110.25023500124986513674984086331283512205120.00%40100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
16PV Sharapovas40400000525-2020200000216-142020000039-600.0005611001249865165749840863325783102711327.27%4175.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
17ROCKFORD IceHogs2020000029-71010000014-31010000015-400.000235001249865129749840863392338215120.00%20100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
18SAN DIEGO Gulls22000000909110000005051100000040441.00091423021249865118774984086334211053000.00%000.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
19STOCKTON Flames41300000715-82110000056-12020000029-720.250771400124986515774984086332365912449333.33%6183.33%0875158555.21%1063239444.40%610115452.86%12339222274424697304
20SYRACUSE Crunch2020000016-5000000000002020000016-500.0001120012498651307498408633127414217114.29%20100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
21TORONTO Marlies532000002218421100000550321000001713460.60022365800124986511897498408633255808528225.00%40100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
22TUSCON Roadrunners22000000207131100000012481100000083541.000203353001249865115474984086337627228100.00%10100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
Total7027400021028827711351519001001491341535122100110139143-4580.414288423711021249865124527498408633374510491768951293124.03%671282.09%1875158555.21%1063239444.40%610115452.86%12339222274424697304
24UTICA Comets20200000311-81010000024-21010000017-600.0003360012498651287498408633153328249222.22%4250.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
25VICTORIAVILLE Tigres422000001014-42110000048-42110000066040.50010152500124986516174984086332618710427228.57%50100.00%0875158555.21%1063239444.40%610115452.86%12339222274424697304
26WILKIES-BARRIE Penguins330000003162511000000927220000002241861.00031457600124986511797498408633941919739666.67%40100.00%1875158555.21%1063239444.40%610115452.86%12339222274424697304
_Since Last GM Reset7027400021028827711351519001001491341535122100110139143-4580.414288423711021249865124527498408633374510491768951293124.03%671282.09%1875158555.21%1063239444.40%610115452.86%12339222274424697304
_Vs Conference45192400110199161382210110010098752323913000101018615410.4561992904890012498651159074984086332387704100561802227.50%39489.74%1875158555.21%1063239444.40%610115452.86%12339222274424697304
_Vs Division1611800000876126853000004032886500000472918220.688871252120012498651583749840863374119656235341338.24%17476.47%1875158555.21%1063239444.40%610115452.86%12339222274424697304

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7058L228842371124523745104917689502
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7027400210288277
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3515190100149134
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3512210110139143
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1293124.03%671282.09%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
749840863312498651
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
875158555.21%1063239444.40%610115452.86%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12339222274424697304


Derniers Match 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
1 - 2019-07-307PV Sharapovas6BELLEVILLE Senators1LSommaire du Match
2 - 2019-07-3119BELLEVILLE Senators2LEHIGH VALLEY Phantoms4LSommaire du Match
3 - 2019-08-0136BELLEVILLE Senators10IOWA Wild4WSommaire du Match
4 - 2019-08-0241BELLEVILLE Senators11TORONTO Marlies5WSommaire du Match
5 - 2019-08-0352CORNWALL Aces1BELLEVILLE Senators5WSommaire du Match
7 - 2019-08-0568IOWA Wild1BELLEVILLE Senators9WSommaire du Match
8 - 2019-08-0680BELLEVILLE Senators5TORONTO Marlies3WSommaire du Match
10 - 2019-08-0896LEHIGH VALLEY Phantoms5BELLEVILLE Senators2LSommaire du Match
11 - 2019-08-09110BELLEVILLE Senators0MONT-LAURIER Sommet6LSommaire du Match
12 - 2019-08-10125CORNWALL Aces1BELLEVILLE Senators10WSommaire du Match
14 - 2019-08-12141MANITOBA Moose4BELLEVILLE Senators1LSommaire du Match
15 - 2019-08-13150BELLEVILLE Senators10WILKIES-BARRIE Penguins1WR3Sommaire du Match
17 - 2019-08-15169HOLLYWOOD Oscar1BELLEVILLE Senators14WSommaire du Match
18 - 2019-08-16173BELLEVILLE Senators4VICTORIAVILLE Tigres2WSommaire du Match
20 - 2019-08-18188BELLEVILLE Senators3PV Sharapovas4LSommaire du Match
21 - 2019-08-19199BELLEVILLE Senators1STOCKTON Flames4LSommaire du Match
22 - 2019-08-20207PV Sharapovas10BELLEVILLE Senators1LSommaire du Match
24 - 2019-08-22229MANITOBA Moose4BELLEVILLE Senators1LSommaire du Match
25 - 2019-08-23242STOCKTON Flames1BELLEVILLE Senators3WSommaire du Match
26 - 2019-08-24249BELLEVILLE Senators6LEHIGH VALLEY Phantoms3WSommaire du Match
27 - 2019-08-25268BELLEVILLE Senators11CLEVELAND Monsters4WSommaire du Match
28 - 2019-08-26279HOLLYWOOD Oscar3BELLEVILLE Senators13WSommaire du Match
29 - 2019-08-27293CORNWALL Aces1BELLEVILLE Senators10WSommaire du Match
30 - 2019-08-28309BELLEVILLE Senators8TUSCON Roadrunners3WSommaire du Match
31 - 2019-08-29319BELLEVILLE Senators2PROVIDENCE Bruins3LXSommaire du Match
32 - 2019-08-30328TUSCON Roadrunners4BELLEVILLE Senators12WSommaire du Match
34 - 2019-09-01348HERSEY Bears3BELLEVILLE Senators2LSommaire du Match
35 - 2019-09-02358BELLEVILLE Senators2COLORADO Eagles9LSommaire du Match
36 - 2019-09-03373BROOKLYN Wolfpack2BELLEVILLE Senators14WSommaire du Match
37 - 2019-09-04379BELLEVILLE Senators2BRIDGEPORT Sound Tigers4LSommaire du Match
38 - 2019-09-05393BELLEVILLE Senators1TORONTO Marlies5LSommaire du Match
40 - 2019-09-07412UTICA Comets4BELLEVILLE Senators2LSommaire du Match
42 - 2019-09-09420BELLEVILLE Senators12WILKIES-BARRIE Penguins3WR3Sommaire du Match
43 - 2019-09-10435ROCKFORD IceHogs4BELLEVILLE Senators1LSommaire du Match
45 - 2019-09-12453TORONTO Marlies2BELLEVILLE Senators1LSommaire du Match
46 - 2019-09-13466VICTORIAVILLE Tigres5BELLEVILLE Senators0LSommaire du Match
47 - 2019-09-14471BELLEVILLE Senators2MILWAUKEE Admirals7LSommaire du Match
48 - 2019-09-15491CLEVELAND Monsters4BELLEVILLE Senators9WSommaire du Match
49 - 2019-09-16496BELLEVILLE Senators2HERSEY Bears5LSommaire du Match
50 - 2019-09-17515BELLEVILLE Senators1STOCKTON Flames5LSommaire du Match
51 - 2019-09-18524BELLEVILLE Senators2LEHIGH VALLEY Phantoms5LSommaire du Match
53 - 2019-09-20540PROVIDENCE Bruins7BELLEVILLE Senators0LSommaire du Match
54 - 2019-09-21555BELLEVILLE Senators5IOWA Wild4WXXSommaire du Match
55 - 2019-09-22565BRIDGEPORT Sound Tigers7BELLEVILLE Senators1LSommaire du Match
57 - 2019-09-24576BELLEVILLE Senators2CHICAGO Wolves5LSommaire du Match
59 - 2019-09-26589LAVAL Rockets1BELLEVILLE Senators2WSommaire du Match
60 - 2019-09-27600BELLEVILLE Senators0PV Sharapovas5LSommaire du Match
62 - 2019-09-29618HERSEY Bears5BELLEVILLE Senators1LSommaire du Match
65 - 2019-10-02630BELLEVILLE Senators1ROCKFORD IceHogs5LSommaire du Match
66 - 2019-10-03643LEHIGH VALLEY Phantoms4BELLEVILLE Senators2LSommaire du Match
67 - 2019-10-04656BELLEVILLE Senators2VICTORIAVILLE Tigres4LSommaire du Match
69 - 2019-10-06669MONT-LAURIER Sommet4BELLEVILLE Senators3LXSommaire du Match
70 - 2019-10-07682BELLEVILLE Senators11CORNWALL Aces1WSommaire du Match
72 - 2019-10-09692WILKIES-BARRIE Penguins2BELLEVILLE Senators9WR3Sommaire du Match
73 - 2019-10-10709MILWAUKEE Admirals7BELLEVILLE Senators1LSommaire du Match
75 - 2019-10-12720BELLEVILLE Senators2MONT-LAURIER Sommet5LSommaire du Match
76 - 2019-10-13735BELLEVILLE Senators4SAN DIEGO Gulls0WSommaire du Match
77 - 2019-10-14747CHICAGO Wolves11BELLEVILLE Senators1LSommaire du Match
78 - 2019-10-15763IOWA Wild5BELLEVILLE Senators1LSommaire du Match
79 - 2019-10-16770BELLEVILLE Senators1LAVAL Rockets5LSommaire du Match
80 - 2019-10-17780BELLEVILLE Senators1SYRACUSE Crunch3LSommaire du Match
82 - 2019-10-19796VICTORIAVILLE Tigres3BELLEVILLE Senators4WSommaire du Match
83 - 2019-10-20811MONT-LAURIER Sommet4BELLEVILLE Senators2LSommaire du Match
84 - 2019-10-21814BELLEVILLE Senators0SYRACUSE Crunch3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
86 - 2019-10-23840BELLEVILLE Senators9CORNWALL Aces1WSommaire du Match
87 - 2019-10-24852TORONTO Marlies3BELLEVILLE Senators4WSommaire du Match
89 - 2019-10-26867BELLEVILLE Senators3MANITOBA Moose6LSommaire du Match
90 - 2019-10-27875SAN DIEGO Gulls0BELLEVILLE Senators5WSommaire du Match
91 - 2019-10-28886BELLEVILLE Senators1UTICA Comets7LSommaire du Match
93 - 2019-10-30905STOCKTON Flames5BELLEVILLE Senators2LSommaire du Match
94 - 2019-10-31922COLORADO Eagles-BELLEVILLE Senators-
97 - 2019-11-03941SYRACUSE Crunch-BELLEVILLE Senators-
98 - 2019-11-04950BELLEVILLE Senators-MANITOBA Moose-
100 - 2019-11-06965SYRACUSE Crunch-BELLEVILLE Senators-
101 - 2019-11-07967BELLEVILLE Senators-HOLLYWOOD Oscar-
103 - 2019-11-09991WILKIES-BARRIE Penguins-BELLEVILLE Senators-
105 - 2019-11-11998BELLEVILLE Senators-HOLLYWOOD Oscar-
106 - 2019-11-121011BELLEVILLE Senators-BROOKLYN Wolfpack-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,830,807$ 1,705,000$ 1,705,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,396,228$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 20,607$ 288,498$




LigueDomicileVisiteur
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
327027400021028827711351519001001491341535122100110139143-458288423711021249865124527498408633374510491768951293124.03%671282.09%1875158555.21%1063239444.40%610115452.86%12339222274424697304
Total Saison Régulière7027400021028827711351519001001491341535122100110139143-458288423711021249865124527498408633374510491768951293124.03%671282.09%1875158555.21%1063239444.40%610115452.86%12339222274424697304