BELLEVILLE Senators

GP: 6 | W: 0 | L: 6 | OTL: 0 | P: 0
GF: 4 | GA: 36 | PP%: 0.00% | PK%: 100.00%
DG: Miguel Tousignant | Morale : 97 | Moyenne d'Équipe : 62
Prochain matchs #85 vs WILKIES-BARRIE Penguins
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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
1Colin White0X100.005935767371858472827668627054518299700
2Jordan Greenway0X100.006341716798829566686666606653517296700
3Michael Raffl0X100.007235706774788066646764666566553499690
4Andrew Mangiapane0X100.006335736867707267666567596752514999650
5Alex Formenton0X100.006535765873785458606060645950507499620
6Matt Puempel0X100.005435666978535469506565526653517799610
7Kurtis Gabriel0X100.007488636086566160505757555852506199600
8Andrew Poturalski0X100.005089657066505070506464556450504299590
9Sam Anas0XX100.005089707061505070506060506050504297580
10Casey Nelson0X100.006744786374746962306156706554513799640
11Josh Mahura (R)0X100.005135736773565867305757555851506495590
Rayé
1Nicklas Jensen0X100.005237736981495163305360545860477193590
MOYENNE D'ÉQUIPE100.00605071677565656653636259635451599863
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)100.00655656786530656666666250585097550
Rayé
MOYENNE D'ÉQUIPE100.0065565678653065666666625058509755
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
mig60606060616199CAN372500,000$


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/RW6303-7001015163818.75%2411218.7600000000000058.46%6500000.5300000000
Stats d'équipe Total ou en Moyenne6303-7001015163818.75%2411218.7600000000000058.46%6500000.5300000000
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)60600.9275.8535920354790010.000066101
Stats d'équipe Total ou en Moyenne60600.9275.8535920354790010.000066101


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)LW191999-09-13No75 Kg188 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Andrew MangiapaneBELLEVILLE Senators (OTW)LW231996-04-04No84 Kg178 CMNoNoNo6Pro & Farm1,100,000$1,020,720$1,100,000$1,020,720$0$0$No1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$Lien
Andrew PoturalskiBELLEVILLE Senators (OTW)C251994-01-14No82 Kg178 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Casey NelsonBELLEVILLE Senators (OTW)D271992-07-18No84 Kg185 CMNoNoNo1Pro & Farm800,000$742,342$800,000$742,342$0$0$NoLien
Colin WhiteBELLEVILLE Senators (OTW)C221997-01-30No83 Kg183 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Dylan FergusonBELLEVILLE Senators (OTW)G201998-09-20Yes86 Kg185 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Jordan GreenwayBELLEVILLE Senators (OTW)LW221997-02-16No103 Kg198 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Josh MahuraBELLEVILLE Senators (OTW)D211998-05-05Yes87 Kg183 CMNoNoNo4Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$
Kurtis GabrielBELLEVILLE Senators (OTW)RW261993-04-20No91 Kg193 CMNoNoNo2Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$Lien
Matt PuempelBELLEVILLE Senators (OTW)LW261993-01-24No93 Kg185 CMNoNoNo4Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$Lien
Michael RafflBELLEVILLE Senators (OTW)LW301988-12-01No91 Kg183 CMNoNoNo5Pro & Farm1,600,000$1,484,684$1,600,000$1,484,684$0$0$No1,600,000$1,600,000$1,600,000$1,600,000$Lien
Nicklas JensenBELLEVILLE Senators (OTW)RW261993-03-06No98 Kg191 CMNoNoNo0Pro & Farm0$0$No
Sam AnasBELLEVILLE Senators (OTW)C/RW261993-06-01No74 Kg173 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1324.0887 Kg185 CM2.15788,462$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
131122
2Sam Anas26122
3Sam Anas23122
420122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
131122
226122
323122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
2Sam Anas45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Sam Anas, , Sam Anas
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 : Dylan Ferguson
Lignes d'Attaque Perso. en Prol.
, , , , , Sam Anas, Sam Anas, , , ,
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
1IOWA Wild1010000018-7000000000001010000018-700.00012300112012121215011434012000.00%000.00%095117.65%4830315.84%187324.66%2513288344511
2LEHIGH VALLEY Phantoms2020000028-61010000015-41010000013-200.0002351011208121215014242217300.00%10100.00%095117.65%4830315.84%187324.66%2513288344511
3PROVIDENCE Bruins1010000006-6000000000001010000006-600.00000000112061212150692107000.00%000.00%095117.65%4830315.84%187324.66%2513288344511
4PV Sharapovas20200000114-1320200000114-130000000000000.00012300112013121215015545211000.00%10100.00%095117.65%4830315.84%187324.66%2513288344511
Total60600000436-3230300000219-1730300000217-1500.0004711101120391212150480142447300.00%20100.00%095117.65%4830315.84%187324.66%2513288344511
_Since Last GM Reset60600000436-3230300000219-1730300000217-1500.0004711101120391212150480142447300.00%20100.00%095117.65%4830315.84%187324.66%2513288344511
_Vs Conference50500000430-2630300000219-1720200000211-900.0004711101120331212150411121440300.00%20100.00%095117.65%4830315.84%187324.66%2513288344511
_Vs Division2020000028-61020000015-41000000013-200.0002351011208121215014242217300.00%10100.00%095117.65%4830315.84%187324.66%2513288344511

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
60L647113948014244710
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6060000436
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000219
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000217
Derniers 10 Matchs
WLOTWOTL SOWSOL
060000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
300.00%20100.00%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
12121501120
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
95117.65%4830315.84%187324.66%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2513288344511


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 - 2020-01-1510BELLEVILLE Senators1IOWA Wild8LSommaire du Match
2 - 2020-01-1617BELLEVILLE Senators0PROVIDENCE Bruins6LSommaire du Match
3 - 2020-01-1727PV Sharapovas8BELLEVILLE Senators1LSommaire du Match
4 - 2020-01-1847LEHIGH VALLEY Phantoms5BELLEVILLE Senators1LSommaire du Match
5 - 2020-01-1959PV Sharapovas6BELLEVILLE Senators0LSommaire du Match
7 - 2020-01-2173BELLEVILLE Senators1LEHIGH VALLEY Phantoms3LSommaire du Match
9 - 2020-01-2385WILKIES-BARRIE Penguins-BELLEVILLE Senators-
11 - 2020-01-2592BELLEVILLE Senators-STOCKTON Flames-
13 - 2020-01-27108BELLEVILLE Senators-Manitoba Moose-
15 - 2020-01-29125Binghampton Devils-BELLEVILLE Senators-
17 - 2020-01-31140UTICA Comets-BELLEVILLE Senators-
19 - 2020-02-02148BELLEVILLE Senators-Syracruse Crunch-
21 - 2020-02-04162PV Sharapovas-BELLEVILLE Senators-
23 - 2020-02-06186STOCKTON Flames-BELLEVILLE Senators-
24 - 2020-02-07195BELLEVILLE Senators-VICTORIAVILLE Tigres-
26 - 2020-02-09211HOLLYWOOD Oscar-BELLEVILLE Senators-
27 - 2020-02-10222BELLEVILLE Senators-Marlies de Toronto-
28 - 2020-02-11236BRIDGEPORT Sound Tigers-BELLEVILLE Senators-
29 - 2020-02-12250BELLEVILLE Senators-PV Sharapovas-
30 - 2020-02-13259BELLEVILLE Senators-LAVAL Rockets-
32 - 2020-02-15271PV Sharapovas-BELLEVILLE Senators-
33 - 2020-02-16287BELLEVILLE Senators-HERSEY Bears-
34 - 2020-02-17294LEHIGH VALLEY Phantoms-BELLEVILLE Senators-
36 - 2020-02-19314HERSEY Bears-BELLEVILLE Senators-
37 - 2020-02-20325BELLEVILLE Senators-WILKIES-BARRIE Penguins-
38 - 2020-02-21341Marlies de Toronto-BELLEVILLE Senators-
39 - 2020-02-22356BELLEVILLE Senators-Binghampton Devils-
40 - 2020-02-23362BELLEVILLE Senators-UTICA Comets-
42 - 2020-02-25373STOCKTON Flames-BELLEVILLE Senators-
43 - 2020-02-26393WILKIES-BARRIE Penguins-BELLEVILLE Senators-
44 - 2020-02-27401BELLEVILLE Senators-WILKIES-BARRIE Penguins-
45 - 2020-02-28415BELLEVILLE Senators-BRIDGEPORT Sound Tigers-
46 - 2020-02-29422BELLEVILLE Senators-COLORADO Eagles-
47 - 2020-03-01436HOLLYWOOD Oscar-BELLEVILLE Senators-
49 - 2020-03-03452BELLEVILLE Senators-LEHIGH VALLEY Phantoms-
50 - 2020-03-04461LAVAL Rockets-BELLEVILLE Senators-
52 - 2020-03-06479ROCKFORD IceHogs-BELLEVILLE Senators-
53 - 2020-03-07492BELLEVILLE Senators-STOCKTON Flames-
54 - 2020-03-08502MILWAUKEE Admirals-BELLEVILLE Senators-
56 - 2020-03-10519BELLEVILLE Senators-PV Sharapovas-
57 - 2020-03-11531Manitoba Moose-BELLEVILLE Senators-
59 - 2020-03-13547BELLEVILLE Senators-LEHIGH VALLEY Phantoms-
60 - 2020-03-14552BELLEVILLE Senators-MONT-LAURIER Sommet-
61 - 2020-03-15565CHICAGO Wolves-BELLEVILLE Senators-
62 - 2020-03-16575BELLEVILLE Senators-STOCKTON Flames-
63 - 2020-03-17591Binghampton Devils-BELLEVILLE Senators-
64 - 2020-03-18603MONT-LAURIER Sommet-BELLEVILLE Senators-
66 - 2020-03-20623BELLEVILLE Senators-Syracruse Crunch-
67 - 2020-03-21634CORNWALL Aces-BELLEVILLE Senators-
68 - 2020-03-22647BELLEVILLE Senators-BROOKLYN Wolfpack-
69 - 2020-03-23654BELLEVILLE Senators-Binghampton Devils-
70 - 2020-03-24668BROOKLYN Wolfpack-BELLEVILLE Senators-
71 - 2020-03-25684Manitoba Moose-BELLEVILLE Senators-
73 - 2020-03-27701BELLEVILLE Senators-VICTORIAVILLE Tigres-
74 - 2020-03-28710BELLEVILLE Senators-SAN DIEGO Gulls-
75 - 2020-03-29724UTICA Comets-BELLEVILLE Senators-
76 - 2020-03-30732BELLEVILLE Senators-CHICAGO Wolves-
77 - 2020-03-31748VICTORIAVILLE Tigres-BELLEVILLE Senators-
78 - 2020-04-01761BELLEVILLE Senators-Manitoba Moose-
80 - 2020-04-03777MONT-LAURIER Sommet-BELLEVILLE Senators-
81 - 2020-04-04788COLORADO Eagles-BELLEVILLE Senators-
82 - 2020-04-05802BELLEVILLE Senators-MILWAUKEE Admirals-
83 - 2020-04-06815CORNWALL Aces-BELLEVILLE Senators-
85 - 2020-04-08832BELLEVILLE Senators-MONT-LAURIER Sommet-
86 - 2020-04-09839BELLEVILLE Senators-TUSCON Roadrunners-
87 - 2020-04-10851SAN DIEGO Gulls-BELLEVILLE Senators-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11864BELLEVILLE Senators-ROCKFORD IceHogs-
89 - 2020-04-12876VICTORIAVILLE Tigres-BELLEVILLE Senators-
91 - 2020-04-14892PROVIDENCE Bruins-BELLEVILLE Senators-
92 - 2020-04-15901BELLEVILLE Senators-CORNWALL Aces-
93 - 2020-04-16916IOWA Wild-BELLEVILLE Senators-
94 - 2020-04-17926BELLEVILLE Senators-CORNWALL Aces-
95 - 2020-04-18943IOWA Wild-BELLEVILLE Senators-
96 - 2020-04-19951BELLEVILLE Senators-IOWA Wild-
98 - 2020-04-21971Syracruse Crunch-BELLEVILLE Senators-
100 - 2020-04-23989BELLEVILLE Senators-PROVIDENCE Bruins-
101 - 2020-04-241000Syracruse Crunch-BELLEVILLE Senators-
104 - 2020-04-271019TUSCON Roadrunners-BELLEVILLE Senators-
105 - 2020-04-281026BELLEVILLE Senators-HOLLYWOOD Oscar-
107 - 2020-04-301043TUSCON Roadrunners-BELLEVILLE Senators-
108 - 2020-05-011051BELLEVILLE Senators-HOLLYWOOD Oscar-
109 - 2020-05-021058BELLEVILLE Senators-PROVIDENCE Bruins-



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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
110,722$ 1,025,000$ 1,025,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 74,684$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 103 13,739$ 1,415,117$




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
3360600000436-3230300000219-1730300000217-1504711101120391212150480142447300.00%20100.00%095117.65%4830315.84%187324.66%2513288344511
Total Saison Régulière60600000436-3230300000219-1730300000217-1504711101120391212150480142447300.00%20100.00%095117.65%4830315.84%187324.66%2513288344511