BELLEVILLE Senators

GP: 2 | W: 1 | L: 1 | OTL: 0 | P: 2
GF: 11 | GA: 15 | PP%: 66.67% | PK%: 33.33%
DG: Miguel Tousignant | Morale : 99 | Moyenne d'Équipe : 67
Prochain matchs #39 vs MANITOBA Moose
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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
1Nolan Patrick0X100.006741767080838569847067606856529199700211925,000$
2Alex Formenton0X100.005656786873878864576063596261637299680205750,000$
3Matt Puempel0X100.006245896478827962576161636573676999680272750,000$
4Sam Bennett0X100.0083556765767382647162665765676486996802412,400,000$
5Mike Vecchione0X100.005547896069888961665859566173675899670272750,000$
6Sam Anas0XX100.005737836561878863686458566373675899670271750,000$
7Michael McLeod0X100.006449856278827663776158645963628599670222750,000$
8Kurtis Gabriel0X100.007257736086757758505657596073675499660276750,000$
9Andrew Poturalski0X100.005645885970808258636257566071665999650261750,000$
10Calle Rosen0X100.006443866175847759306258605471665199670262750,000$
11Timothy Liljegren (R)0X100.007145896274737263306157645561648399660213750,000$
12Josh Mahura0X100.005943886672827563306157585463616699660222750,000$
13Daniel Brickley0X100.006443865984797258305756605369655999650252750,000$
14Jimmy Schuldt0X100.006251826075858458305754564769656199650252750,000$
Rayé
MOYENNE D'ÉQUIPE100.00644783637581806253615959596764689967
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)LW222422022641733.33%22713.56000000000000100.00%100002.9500000100
2Mike VecchioneBELLEVILLE Senators (OTW)C22242002184725.00%02613.0800000000000051.85%2721003.0600000010
3Sam AnasBELLEVILLE Senators (OTW)C/RW213410010136117.69%13417.0511221000000075.00%410002.3500000000
4Nolan PatrickBELLEVILLE Senators (OTW)C231410004186716.67%13517.5311231000000056.67%3020002.2800000000
5Josh MahuraBELLEVILLE Senators (OTW)D21341200342225.00%23316.840001000013000.00%000002.3800000000
6Calle RosenBELLEVILLE Senators (OTW)D2033-140224340.00%85829.100000100003000.00%010001.0300000000
7Matt PuempelBELLEVILLE Senators (OTW)LW211202010132137.69%02010.410000000000100.00%001001.9200000000
8Timothy LiljegrenBELLEVILLE Senators (OTW)D2022100053200.00%03316.690000000002000.00%010001.2000000000
9Sam BennettBELLEVILLE Senators (OTW)C2101-3202211539.09%23015.0800000000000040.00%2520000.6600000000
10Michael McLeodBELLEVILLE Senators (OTW)C2011020106540.00%02010.4100000000000047.62%2100000.9600000000
11Daniel BrickleyBELLEVILLE Senators (OTW)D2000000121040.00%22512.930000000000000.00%002000.0000000000
12Jimmy SchuldtBELLEVILLE Senators (OTW)D2000000100210.00%42713.920000000002000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne241118294140132187417312.64%2237315.55224670001131050.93%10894001.5500000110
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$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$Lien
Andrew PoturalskiBELLEVILLE Senators (OTW)C261/14/1994No86 Kg180 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Calle RosenBELLEVILLE Senators (OTW)D262/2/1994No85 Kg185 CMNoNoNo2Pro & Farm750,000$737,288$500,000$491,525$0$0$No750,000$Lien
Daniel BrickleyBELLEVILLE Senators (OTW)D253/30/1995No92 Kg191 CMNoNoNo2Pro & Farm750,000$737,288$500,000$491,525$0$0$No750,000$Lien
Jimmy SchuldtBELLEVILLE Senators (OTW)D255/11/1995No92 Kg183 CMNoNoNo2Pro & Farm750,000$737,288$500,000$491,525$0$0$No750,000$Lien
Josh MahuraBELLEVILLE Senators (OTW)D225/5/1998No85 Kg183 CMNoNoNo2Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$Lien
Kurtis GabrielBELLEVILLE Senators (OTW)RW274/20/1993No91 Kg193 CMNoNoNo6Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Matt PuempelBELLEVILLE Senators (OTW)LW271/24/1993No91 Kg185 CMNoNoNo2Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$Lien
Michael McLeodBELLEVILLE Senators (OTW)C222/3/1998No85 Kg188 CMNoNoNo2Pro & Farm750,000$737,288$500,000$491,525$0$0$No750,000$Lien
Mike VecchioneBELLEVILLE Senators (OTW)C272/25/1993No88 Kg178 CMNoNoNo2Pro & Farm750,000$737,288$500,000$491,525$0$0$No750,000$Lien
Nolan PatrickBELLEVILLE Senators (OTW)C219/19/1998No90 Kg188 CMNoNoNo1Pro & Farm925,000$909,322$925,000$909,322$0$0$NoLien
Sam AnasBELLEVILLE Senators (OTW)C/RW276/1/1993No74 Kg173 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Sam BennettBELLEVILLE Senators (OTW)C246/20/1996No89 Kg185 CMNoNoNo1Pro & Farm2,400,000$2,359,322$2,400,000$2,359,322$0$0$NoLien
Timothy LiljegrenBELLEVILLE Senators (OTW)D214/30/1999Yes90 Kg183 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1424.2987 Kg185 CM2.29880,357$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nolan PatrickSam Anas31122
2Sam Bennett26122
3Alex FormentonMike Vecchione23122
4Matt PuempelMichael McLeod20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Calle Rosen31122
2Josh MahuraTimothy Liljegren26122
3Daniel BrickleyJimmy Schuldt23122
4Calle Rosen20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nolan PatrickSam Anas55122
2Sam Bennett45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Calle Rosen55122
2Josh MahuraTimothy Liljegren45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Nolan PatrickAlex Formenton45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Calle Rosen55122
2Josh MahuraTimothy Liljegren45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Calle Rosen55122
245122Josh MahuraTimothy Liljegren45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Nolan PatrickAlex Formenton45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Calle Rosen55122
2Josh MahuraTimothy Liljegren45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nolan PatrickSam AnasCalle Rosen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nolan PatrickSam AnasCalle Rosen
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
, , Nolan Patrick, Alex Formenton, Matt Puempel
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , Nolan Patrick, Alex Formenton, Matt Puempel, Sam Bennett, Sam Bennett, Mike Vecchione, Michael McLeod, Sam Anas,
Lignes de Défense Perso. en Prol.
, Calle Rosen, 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
1BINGHAMTON Devils1010000029-7000000000001010000029-700.00023500623044304027039128133266.67%4325.00%0255248.08%113333.33%224351.16%503741142811
2CAROLINA Checkers11000000963110000009630000000000021.0009162500623053304027026141011000.00%5340.00%0255248.08%113333.33%224351.16%503741142811
Total211000001115-4110000009631010000029-720.500111930006230973040270652618243266.67%9633.33%0255248.08%113333.33%224351.16%503741142811
_Since Last GM Reset211000001115-4110000009631010000029-720.500111930006230973040270652618243266.67%9633.33%0255248.08%113333.33%224351.16%503741142811
_Vs Conference211000001115-4110000009631010000029-720.500111930006230973040270652618243266.67%9633.33%0255248.08%113333.33%224351.16%503741142811
_Vs Division1110000029-7010000000001010000029-721.00023500623044304027039128133266.67%4325.00%0255248.08%113333.33%224351.16%503741142811

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
22W1111930976526182400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
21100001115
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000096
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
101000029
Derniers 10 Matchs
WLOTWOTL SOWSOL
110000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3266.67%9633.33%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
30402706230
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
255248.08%113333.33%224351.16%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
503741142811


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 Senators-MANITOBA Moose-
6 - 2021-01-2246MANITOBA Moose-BELLEVILLE Senators-
7 - 2021-01-2365SCRANTON Penguins-BELLEVILLE Senators-
9 - 2021-01-2580BELLEVILLE Senators-SCRANTON Penguins-
10 - 2021-01-2687GRAND RAPIDS Griffins-BELLEVILLE Senators-
12 - 2021-01-28105BINGHAMTON Devils-BELLEVILLE Senators-
13 - 2021-01-29114BELLEVILLE Senators-BAKERSFIELD Condors-
15 - 2021-01-31132CAROLINA Checkers-BELLEVILLE Senators-
16 - 2021-02-01135BELLEVILLE Senators-LEHIGH VALLEY Phantoms-
18 - 2021-02-03158TUSCON Roadrunners-BELLEVILLE Senators-
19 - 2021-02-04167BELLEVILLE Senators-LEHIGH VALLEY Phantoms-
20 - 2021-02-05178BELLEVILLE Senators-BINGHAMTON Devils-
22 - 2021-02-07191MANITOBA Moose-BELLEVILLE Senators-
23 - 2021-02-08206BELLEVILLE Senators-BRIDGEPORT Sound Tigers-
25 - 2021-02-10214BELLEVILLE Senators-BAKERSFIELD Condors-
26 - 2021-02-11229PROVIDENCE Bruins-BELLEVILLE Senators-
28 - 2021-02-13241BELLEVILLE Senators-SAN DIEGO Gulls-
29 - 2021-02-14254ONTARIO Reign-BELLEVILLE Senators-
30 - 2021-02-15267MANITOBA Moose-BELLEVILLE Senators-
31 - 2021-02-16281BELLEVILLE Senators-CHICAGO Wolves-
33 - 2021-02-18292BELLEVILLE Senators-PROVIDENCE Bruins-
34 - 2021-02-19305BINGHAMTON Devils-BELLEVILLE Senators-
36 - 2021-02-21319BELLEVILLE Senators-UTICA Comets-
37 - 2021-02-22332SCRANTON Penguins-BELLEVILLE Senators-
39 - 2021-02-24345MANITOBA Moose-BELLEVILLE Senators-
40 - 2021-02-25360BELLEVILLE Senators-SCRANTON Penguins-
42 - 2021-02-27374SCRANTON Penguins-BELLEVILLE Senators-
43 - 2021-02-28384BELLEVILLE Senators-MANITOBA Moose-
45 - 2021-03-02400SAN DIEGO Gulls-BELLEVILLE Senators-
47 - 2021-03-04413BELLEVILLE Senators-SAN ANTONIO Rampage-
48 - 2021-03-05423BELLEVILLE Senators-BINGHAMTON Devils-
49 - 2021-03-06436CHICAGO Wolves-BELLEVILLE Senators-
51 - 2021-03-08452TORONTO Marlies-BELLEVILLE Senators-
52 - 2021-03-09462BELLEVILLE Senators-ONTARIO Reign-
53 - 2021-03-10474UTICA Comets-BELLEVILLE Senators-
54 - 2021-03-11489BELLEVILLE Senators-ONTARIO Reign-
56 - 2021-03-13500SAN DIEGO Gulls-BELLEVILLE Senators-
57 - 2021-03-14519GRAND RAPIDS Griffins-BELLEVILLE Senators-
59 - 2021-03-16531BELLEVILLE Senators-LEHIGH VALLEY Phantoms-
60 - 2021-03-17541BELLEVILLE Senators-HERSEY Bears-
62 - 2021-03-19555HERSEY Bears-BELLEVILLE Senators-
63 - 2021-03-20570BELLEVILLE Senators-LAVAL Rocket-
64 - 2021-03-21582BRIDGEPORT Sound Tigers-BELLEVILLE Senators-
66 - 2021-03-23595BELLEVILLE Senators-MILWAUKEE Admirals-
67 - 2021-03-24608LAVAL Rocket-BELLEVILLE Senators-
69 - 2021-03-26622BELLEVILLE Senators-SYRACUSE Crunch-
70 - 2021-03-27634BELLEVILLE Senators-MANITOBA Moose-
71 - 2021-03-28641ROCKFORD IceHogs-BELLEVILLE Senators-
73 - 2021-03-30656BELLEVILLE Senators-BROOKLYN Wolfpack-
74 - 2021-03-31667BROOKLYN Wolfpack-BELLEVILLE Senators-
76 - 2021-04-02683BELLEVILLE Senators-CHICAGO Wolves-
77 - 2021-04-03692BELLEVILLE Senators-ROCKFORD IceHogs-
78 - 2021-04-04701GRAND RAPIDS Griffins-BELLEVILLE Senators-
80 - 2021-04-06723COLORADO Eagles-BELLEVILLE Senators-
82 - 2021-04-08736TUSCON Roadrunners-BELLEVILLE Senators-
83 - 2021-04-09748BELLEVILLE Senators-COLORADO Eagles-
85 - 2021-04-11764IOWA Wild-BELLEVILLE Senators-
87 - 2021-04-13776BELLEVILLE Senators-IOWA Wild-
88 - 2021-04-14789CAROLINA Checkers-BELLEVILLE Senators-
89 - 2021-04-15802BELLEVILLE Senators-CAROLINA Checkers-
92 - 2021-04-18817SAN ANTONIO Rampage-BELLEVILLE Senators-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19830BELLEVILLE Senators-IOWA Wild-
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
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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
20,890$ 1,232,500$ 1,107,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 20,890$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 116 10,445$ 1,211,620$




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
36211000001115-4110000009631010000029-72111930006230973040270652618243266.67%9633.33%0255248.08%113333.33%224351.16%503741142811
Total Saison Régulière1628955020610485337148814324020482531688581463100022232169632044858511336228208152117105477175217541909118408711341244287654510018.35%5439083.43%43243553858.56%2765477157.95%1412234560.21%431031103490112120001035
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