BELLEVILLE Senators
GP: 64 | W: 8 | L: 54 | OTL: 2 | P: 18
GF: 205 | GA: 482 | PP%: 17.33% | PK%: 49.18%
DG: Miguel Tousignant | Morale : 99 | Moyenne d'Équipe : 66
Prochain matchs #843 vs IOWA Wild
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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 SPÂgeContratSalaire
1Alex Formenton0X100.005656786873878864576063596261637299680205750,000$
2Matt Puempel0X100.006245896478827962576161636573676999680272750,000$
3Sam Bennett0X100.0083556765767382647162665765676486996802412,400,000$
4Mike Vecchione0X100.005547896069888961665859566173675899670272750,000$
5Sam Anas0XX100.005737836561878863686458566373675899670271750,000$
6Michael McLeod0X100.006449856278827663776158645963628599670222750,000$
7Kurtis Gabriel0X100.007257736086757758505657596073675499660276750,000$
8Andrew Poturalski0X100.005645885970808258636257566071665999650261750,000$
9Timothy Liljegren (R)0X100.007145896274737263306157645561648399660213750,000$
10Josh Mahura0X100.005943886672827563306157585463616699660222750,000$
11Daniel Brickley0X100.006443865984797258305756605369655999650252750,000$
12Jimmy Schuldt0X100.006251826075858458305754564769656199650252750,000$
Rayé
MOYENNE D'ÉQUIPE100.00634883637581806152605959596865689967
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason71727473787858CAN573100,000$


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 FormentonBELLEVILLE Senators (OTW)LW64223355-2311585772146317710.28%2579312.40000000000121057.58%6600011.3900001202
2Mike VecchioneBELLEVILLE Senators (OTW)C64272754-228040862115915212.80%1978112.2100000000012061.81%83821021.3800000131
3Matt PuempelBELLEVILLE Senators (OTW)LW64272148-1412047572215716112.22%3367210.5000000000001048.78%4101001.4300000021
4Sam AnasBELLEVILLE Senators (OTW)C/RW64291948-11814018998297902109.76%112120618.85661247136000000163.89%7210020.8000000310
5Sam BennettBELLEVILLE Senators (OTW)C64341347-773801731193268518110.43%7899415.55681465115000002065.40%102320010.9400000101
6Michael McLeodBELLEVILLE Senators (OTW)C64172744-146055801616813510.56%3167210.5100000000001067.29%69100011.3100000110
7Timothy LiljegrenBELLEVILLE Senators (OTW)D6473340-5744081689832627.14%87102716.05410143761000027000.00%010000.7800000010
8Josh MahuraBELLEVILLE Senators (OTW)D64122840-55140354985255414.12%84105016.4269153161000137000.00%000000.7600000000
9Daniel BrickleyBELLEVILLE Senators (OTW)D6492938-28300653467214313.43%7689814.030008900004000.00%002010.8500000100
10Calle RosenOTTAWA SenatorsD3372532-6740076409924817.07%11181424.683254679000129000.00%010000.7900000002
11Jimmy SchuldtBELLEVILLE Senators (OTW)D6462228-29220743457222610.53%8390714.1900000000021100.00%000000.6200000010
12Nolan PatrickOTTAWA SenatorsC7459-124012164116279.76%212818.41145814000010066.22%14820001.4000000000
13Andrew PoturalskiBELLEVILLE Senators (OTW)C64000-200404240.00%2170.27000310000030050.00%800000.0000000000
Stats d'équipe Total ou en Moyenne744201282483-51824359367581881564131310.69%743996513.3926396524548900021398164.36%288794080.9700001997
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alex FormentonBELLEVILLE Senators (OTW)LW209/13/1999No75 Kg188 CMNoNoNo5Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$750,000$750,000$Lien
Andrew PoturalskiBELLEVILLE Senators (OTW)C261/14/1994No86 Kg180 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
Daniel BrickleyBELLEVILLE Senators (OTW)D253/30/1995No92 Kg191 CMNoNoNo2Pro & Farm750,000$158,898$500,000$105,932$0$0$No750,000$Lien
Jimmy SchuldtBELLEVILLE Senators (OTW)D255/11/1995No92 Kg183 CMNoNoNo2Pro & Farm750,000$158,898$500,000$105,932$0$0$No750,000$Lien
Josh MahuraBELLEVILLE Senators (OTW)D225/5/1998No85 Kg183 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Kurtis GabrielBELLEVILLE Senators (OTW)RW274/20/1993No91 Kg193 CMNoNoNo6Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Matt PuempelBELLEVILLE Senators (OTW)LW271/24/1993No91 Kg185 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Michael McLeodBELLEVILLE Senators (OTW)C222/3/1998No85 Kg188 CMNoNoNo2Pro & Farm750,000$158,898$500,000$105,932$0$0$No750,000$Lien
Mike VecchioneBELLEVILLE Senators (OTW)C272/25/1993No88 Kg178 CMNoNoNo2Pro & Farm750,000$158,898$500,000$105,932$0$0$No750,000$Lien
Sam AnasBELLEVILLE Senators (OTW)C/RW276/1/1993No74 Kg173 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
Sam BennettBELLEVILLE Senators (OTW)C246/20/1996No89 Kg185 CMNoNoNo1Pro & Farm2,400,000$508,475$2,400,000$508,475$0$0$NoLien
Timothy LiljegrenBELLEVILLE Senators (OTW)D214/30/1999Yes90 Kg183 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1224.4286 Kg185 CM2.42887,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sam Anas31122
2Sam Bennett26122
3Alex FormentonMike Vecchione23122
4Matt PuempelMichael McLeod20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
131122
2Josh MahuraTimothy Liljegren26122
3Daniel BrickleyJimmy Schuldt23122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sam Anas55122
2Sam Bennett45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Josh MahuraTimothy Liljegren45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Alex Formenton45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Josh MahuraTimothy Liljegren45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
245122Josh MahuraTimothy Liljegren45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Alex Formenton45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Josh MahuraTimothy Liljegren45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sam Anas
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sam Anas
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andrew Poturalski, Matt Puempel, Mike VecchioneAndrew Poturalski, Matt PuempelMike Vecchione
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Daniel Brickley, Jimmy Schuldt, Josh MahuraDaniel BrickleyJimmy Schuldt, Josh Mahura
Tirs de Pénalité
, , , Alex Formenton, Matt Puempel
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , , Alex Formenton, Matt Puempel, Sam Bennett, Sam Bennett, Mike Vecchione, Michael McLeod, Sam Anas,
Lignes de Défense Perso. en Prol.
, , Josh Mahura, Timothy Liljegren, Daniel Brickley


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
1BAKERSFIELD Condors21100000610-40000000000021100000610-420.50061117008472490118622742692139164702150.00%2150.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
2BINGHAMTON Devils505000001145-3420200000415-1130300000730-2300.00011172800847249012762274269212467220678225.00%9455.56%0960184851.95%596133544.64%579122747.19%142810611713389701333
3BRIDGEPORT Sound Tigers20200000716-91010000029-71010000057-200.00071118008472490576227426921701322210330.00%110.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
4BROOKLYN Wolfpack20200000317-141010000018-71010000029-700.0003580084724905462274269217324421200.00%10100.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
5CAROLINA Checkers44000000382117330000002917121100000094581.000386210000847249021862274269211394920584250.00%10730.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
6CHICAGO Wolves30300000725-1810100000210-820200000515-1000.0007121900847249066622742692112043123210220.00%550.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
7COLORADO Eagles20200000312-91010000014-31010000028-600.0003470084724903962274269217820815800.00%4325.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
8GRAND RAPIDS Griffins30300000526-2130300000526-210000000000000.0005914008472490766227426921141361255500.00%5180.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
9HERSEY Bears20200000216-141010000016-510100000110-900.00024600847249040622742692111132423300.00%2150.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
10IOWA Wild30300000319-161010000016-520200000213-1100.0003580084724908262274269218945835300.00%4325.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
11LAVAL Rocket20200000313-101010000036-31010000007-700.00035800847249037622742692110328635900.00%30100.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
12LEHIGH VALLEY Phantoms30300000526-210000000000030300000526-2100.00057120084724907362274269211695616357228.57%8537.50%0960184851.95%596133544.64%579122747.19%142810611713389701333
13MANITOBA Moose707000002160-39404000001532-1730300000628-2200.0002137580084724902936227426921359892612916531.25%13746.15%0960184851.95%596133544.64%579122747.19%142810611713389701333
14MILWAUKEE Admirals1010000026-4000000000001010000026-400.0002350084724902562274269214518816200.00%4175.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
15ONTARIO Reign30300000826-181010000018-720200000718-1100.000812200084724908462274269211863613466116.67%4325.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
16PROVIDENCE Bruins20200000212-101010000015-41010000017-600.00024600847249067622742692147146351000.00%3233.33%0960184851.95%596133544.64%579122747.19%142810611713389701333
17ROCKFORD IceHogs201001001517-210000100910-11010000067-110.25015203500847249064622742692111141631000.00%2150.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
18SAN ANTONIO Rampage201001001014-41010000047-31000010067-110.25010152500847249073622742692169308276116.67%4250.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
19SAN DIEGO Gulls33000000356292200000024519110000001111061.000355792008472490228622742692134176623133.33%30100.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
20SCRANTON Penguins505000001045-3530300000428-2420200000617-1100.0001016260084724901246227426921237744010822522.73%19857.89%0960184851.95%596133544.64%579122747.19%142810611713389701333
21SYRACUSE Crunch1010000029-7000000000001010000029-700.0002350084724901762274269215814614100.00%3166.67%0960184851.95%596133544.64%579122747.19%142810611713389701333
22TORONTO Marlies1010000038-51010000038-50000000000000.00034700847249031622742692148136173133.33%3233.33%0960184851.95%596133544.64%579122747.19%142810611713389701333
23TUSCON Roadrunners20200000214-1220200000214-120000000000000.00023500847249033622742692185281025500.00%5180.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
24UTICA Comets20200000219-171010000019-810100000110-900.000235008472490316227426921107271024500.00%5340.00%0960184851.95%596133544.64%579122747.19%142810611713389701333
Total6485400200205482-2773252600100113233-120323280010092249-157180.14120532953400847249020576227426921276483526110021502617.33%1226249.18%0960184851.95%596133544.64%579122747.19%142810611713389701333
_Since Last GM Reset6485400200205482-2773252600100113233-120323280010092249-157180.14120532953400847249020576227426921276483526110021502617.33%1226249.18%0960184851.95%596133544.64%579122747.19%142810611713389701333
_Vs Conference3953400000116312-196183150000061142-81212190000055170-115100.128116191307008472490127862274269211783530177649842023.81%824545.12%0960184851.95%596133544.64%579122747.19%142810611713389701333
_Vs Division194200000038165-1278312000001266-541118000002699-7380.211386098008472490475622742692190627186276521223.08%401952.50%0960184851.95%596133544.64%579122747.19%142810611713389701333

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6418L220532953420572764835261100200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
648540200205482
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
325260100113233
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
32328010092249
Derniers 10 Matchs
WLOTWOTL SOWSOL
280000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1502617.33%1226249.18%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
62274269218472490
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
960184851.95%596133544.64%579122747.19%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
142810611713389701333


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 - 2021-01-1711BELLEVILLE Senators2BINGHAMTON Devils9LSommaire du Match
2 - 2021-01-1819CAROLINA Checkers6BELLEVILLE Senators9WSommaire du Match
5 - 2021-01-2139BELLEVILLE Senators1MANITOBA Moose6LSommaire du Match
6 - 2021-01-2246MANITOBA Moose9BELLEVILLE Senators5LSommaire du Match
7 - 2021-01-2365SCRANTON Penguins10BELLEVILLE Senators1LR3Sommaire du Match
9 - 2021-01-2580BELLEVILLE Senators5SCRANTON Penguins8LSommaire du Match
10 - 2021-01-2687GRAND RAPIDS Griffins10BELLEVILLE Senators2LSommaire du Match
12 - 2021-01-28105BINGHAMTON Devils9BELLEVILLE Senators2LSommaire du Match
13 - 2021-01-29114BELLEVILLE Senators2BAKERSFIELD Condors8LSommaire du Match
15 - 2021-01-31132CAROLINA Checkers5BELLEVILLE Senators9WSommaire du Match
16 - 2021-02-01135BELLEVILLE Senators3LEHIGH VALLEY Phantoms11LSommaire du Match
18 - 2021-02-03158TUSCON Roadrunners8BELLEVILLE Senators1LSommaire du Match
19 - 2021-02-04167BELLEVILLE Senators1LEHIGH VALLEY Phantoms9LSommaire du Match
20 - 2021-02-05178BELLEVILLE Senators4BINGHAMTON Devils9LSommaire du Match
22 - 2021-02-07191MANITOBA Moose8BELLEVILLE Senators6LSommaire du Match
23 - 2021-02-08206BELLEVILLE Senators5BRIDGEPORT Sound Tigers7LSommaire du Match
25 - 2021-02-10214BELLEVILLE Senators4BAKERSFIELD Condors2WSommaire du Match
26 - 2021-02-11229PROVIDENCE Bruins5BELLEVILLE Senators1LSommaire du Match
28 - 2021-02-13241BELLEVILLE Senators11SAN DIEGO Gulls1WSommaire du Match
29 - 2021-02-14254ONTARIO Reign8BELLEVILLE Senators1LSommaire du Match
30 - 2021-02-15267MANITOBA Moose6BELLEVILLE Senators1LSommaire du Match
31 - 2021-02-16281BELLEVILLE Senators3CHICAGO Wolves7LSommaire du Match
33 - 2021-02-18292BELLEVILLE Senators1PROVIDENCE Bruins7LSommaire du Match
34 - 2021-02-19305BINGHAMTON Devils6BELLEVILLE Senators2LSommaire du Match
36 - 2021-02-21319BELLEVILLE Senators1UTICA Comets10LSommaire du Match
37 - 2021-02-22332SCRANTON Penguins7BELLEVILLE Senators2LR3Sommaire du Match
39 - 2021-02-24345MANITOBA Moose9BELLEVILLE Senators3LSommaire du Match
40 - 2021-02-25360BELLEVILLE Senators1SCRANTON Penguins9LR3Sommaire du Match
42 - 2021-02-27374SCRANTON Penguins11BELLEVILLE Senators1LSommaire du Match
43 - 2021-02-28384BELLEVILLE Senators3MANITOBA Moose13LSommaire du Match
45 - 2021-03-02400SAN DIEGO Gulls2BELLEVILLE Senators11WSommaire du Match
47 - 2021-03-04413BELLEVILLE Senators6SAN ANTONIO Rampage7LXSommaire du Match
48 - 2021-03-05423BELLEVILLE Senators1BINGHAMTON Devils12LSommaire du Match
49 - 2021-03-06436CHICAGO Wolves10BELLEVILLE Senators2LSommaire du Match
51 - 2021-03-08452TORONTO Marlies8BELLEVILLE Senators3LSommaire du Match
52 - 2021-03-09462BELLEVILLE Senators3ONTARIO Reign10LSommaire du Match
53 - 2021-03-10474UTICA Comets9BELLEVILLE Senators1LSommaire du Match
54 - 2021-03-11489BELLEVILLE Senators4ONTARIO Reign8LSommaire du Match
56 - 2021-03-13500SAN DIEGO Gulls3BELLEVILLE Senators13WSommaire du Match
57 - 2021-03-14519GRAND RAPIDS Griffins8BELLEVILLE Senators1LSommaire du Match
59 - 2021-03-16531BELLEVILLE Senators1LEHIGH VALLEY Phantoms6LSommaire du Match
60 - 2021-03-17541BELLEVILLE Senators1HERSEY Bears10LSommaire du Match
62 - 2021-03-19555HERSEY Bears6BELLEVILLE Senators1LSommaire du Match
63 - 2021-03-20570BELLEVILLE Senators0LAVAL Rocket7LSommaire du Match
64 - 2021-03-21582BRIDGEPORT Sound Tigers9BELLEVILLE Senators2LSommaire du Match
66 - 2021-03-23595BELLEVILLE Senators2MILWAUKEE Admirals6LSommaire du Match
67 - 2021-03-24608LAVAL Rocket6BELLEVILLE Senators3LSommaire du Match
69 - 2021-03-26622BELLEVILLE Senators2SYRACUSE Crunch9LSommaire du Match
70 - 2021-03-27634BELLEVILLE Senators2MANITOBA Moose9LSommaire du Match
71 - 2021-03-28641ROCKFORD IceHogs10BELLEVILLE Senators9LXSommaire du Match
73 - 2021-03-30656BELLEVILLE Senators2BROOKLYN Wolfpack9LSommaire du Match
74 - 2021-03-31667BROOKLYN Wolfpack8BELLEVILLE Senators1LSommaire du Match
76 - 2021-04-02683BELLEVILLE Senators2CHICAGO Wolves8LSommaire du Match
77 - 2021-04-03692BELLEVILLE Senators6ROCKFORD IceHogs7LSommaire du Match
78 - 2021-04-04701GRAND RAPIDS Griffins8BELLEVILLE Senators2LSommaire du Match
80 - 2021-04-06723COLORADO Eagles4BELLEVILLE Senators1LSommaire du Match
82 - 2021-04-08736TUSCON Roadrunners6BELLEVILLE Senators1LSommaire du Match
83 - 2021-04-09748BELLEVILLE Senators2COLORADO Eagles8LSommaire du Match
85 - 2021-04-11764IOWA Wild6BELLEVILLE Senators1LSommaire du Match
87 - 2021-04-13776BELLEVILLE Senators2IOWA Wild6LSommaire du Match
88 - 2021-04-14789CAROLINA Checkers6BELLEVILLE Senators11WSommaire du Match
89 - 2021-04-15802BELLEVILLE Senators9CAROLINA Checkers4WSommaire du Match
92 - 2021-04-18817SAN ANTONIO Rampage7BELLEVILLE Senators4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19830BELLEVILLE Senators0IOWA Wild7LSommaire du Match
94 - 2021-04-20843IOWA Wild-BELLEVILLE Senators-
96 - 2021-04-22857BELLEVILLE Senators-CAROLINA Checkers-
97 - 2021-04-23868LEHIGH VALLEY Phantoms-BELLEVILLE Senators-
98 - 2021-04-24881BELLEVILLE Senators-TUSCON Roadrunners-
100 - 2021-04-26894STOCKTON Flames-BELLEVILLE Senators-
101 - 2021-04-27910BELLEVILLE Senators-GRAND RAPIDS Griffins-
102 - 2021-04-28914BELLEVILLE Senators-TORONTO Marlies-
103 - 2021-04-29926BAKERSFIELD Condors-BELLEVILLE Senators-
106 - 2021-05-02949STOCKTON Flames-BELLEVILLE Senators-
107 - 2021-05-03960BELLEVILLE Senators-GRAND RAPIDS Griffins-
108 - 2021-05-04966BELLEVILLE Senators-TORONTO Marlies-
110 - 2021-05-06980SYRACUSE Crunch-BELLEVILLE Senators-
111 - 2021-05-07994BELLEVILLE Senators-STOCKTON Flames-
112 - 2021-05-081006SYRACUSE Crunch-BELLEVILLE Senators-
114 - 2021-05-101020BELLEVILLE Senators-BRIDGEPORT Sound Tigers-
116 - 2021-05-121032MILWAUKEE Admirals-BELLEVILLE Senators-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
8 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
878,477$ 1,065,000$ 965,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 878,477$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 25 9,025$ 225,625$




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
Saison Régulière
34804427010352371617640211201024122814140231500011115803510123741665311410175575269086185794159201155461314262714918.08%2674284.27%21609274358.66%1377236958.13%695115160.38%212915361724553986511
34804427010352371617640211201024122814140231500011115803510123741665311410175575269086185794159201155461314262714918.08%2674284.27%21609274358.66%1377236958.13%695115160.38%212915361724553986511
366485400200205482-2773252600100113233-120323280010092249-1571820532953400847249020576227426921276483526110021502617.33%1226249.18%0960184851.95%596133544.64%579122747.19%142810611713389701333
Total Saison Régulière22496108022610679804-125112475002148357395-38112495800122322409-8722067911611840228286222163107437234424562574119678619431487385469212417.92%65614677.74%44178733456.97%3350607355.16%1969352955.79%568841355162149626731356
Séries
34734000001921-2404000001015-53300000096361936550156712447778863234724011725624.00%19763.16%013624755.06%11323847.48%499850.00%175126173468543
Total Séries734000001921-2404000001015-53300000096361936550156712447778863234724011725624.00%19763.16%013624755.06%11323847.48%499850.00%175126173468543