BELLEVILLE Senators

GP: 39 | W: 21 | L: 14 | OTL: 4 | P: 46
GF: 98 | GA: 75 | PP%: 13.57% | PK%: 86.00%
DG: Miguel Tousignant | Morale : 98 | Moyenne d'Équipe : 67
Prochain matchs #514 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 SP
1Michael Raffl0X100.008039836474798263586662726380742898710
2Andrew Mangiapane0X100.007338876867788567546571626967664898700
3Nolan Patrick0X100.006741767080838569847067606856529198700
4Alex Formenton0X100.005656786873878864576063596261637298680
5Matt Puempel0X100.006245896478827962576161636573676998680
6Sam Bennett0X100.008355676576738264716266576567648698680
7Mike Vecchione0X100.005547896069888961665859566173675898670
8Sam Anas0XX100.005737836561878863686458566373675898670
9Michael McLeod0X100.006449856278827663776158645963628598670
10Kurtis Gabriel0X100.007257736086757758505657596073675496660
11Andrew Poturalski0X100.005645885970808258636257566071665998650
12Dan Hamhuis0X100.006844786378808261306850744688783698700
13Calle Rosen0X100.006443866175847759306258605471665198670
14Timothy Liljegren (R)0X100.007145896274737263306157645561648396660
15Josh Mahura0X100.005943886672827563306157585463616698660
16Daniel Brickley0X100.006443865984797258305756605369655998650
17Jimmy Schuldt0X100.006251826075858458305754564769656198650
Rayé
MOYENNE D'ÉQUIPE100.00654683637581816252625961596966639867
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 Ferguson100.00745250757372747372747363676298640
Rayé
MOYENNE D'ÉQUIPE100.0074525075737274737274736367629864
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Clément Jodoin67676767818134CAN681100,000$


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
1Andrew MangiapaneBELLEVILLE Senators (OTW)LW391915342220051721854312510.27%15101025.912462411000021208047.69%6500000.6706000342
2Michael RafflBELLEVILLE Senators (OTW)LW39141327-146012092178551047.87%11103526.55224321170005982250.71%28200010.5226000332
3Sam BennettBELLEVILLE Senators (OTW)C3912112375007858116308010.34%160015.4033623116000003156.90%65900000.7701000041
4Nolan PatrickBELLEVILLE Senators (OTW)C39101323-1160467412638917.94%777919.982462412710121071164.39%99700000.5915000152
5Dan HamhuisBELLEVILLE Senators (OTW)D3921820934080417822482.56%5994924.33033441290110118000.00%000000.4200000001
6Michael McLeodBELLEVILLE Senators (OTW)C39515201910026456621397.58%539810.2100000000001057.96%42100001.0000000012
7Matt PuempelBELLEVILLE Senators (OTW)LW39106161980172171234314.08%343511.17101330000152046.43%2800000.7301000124
8Kurtis GabrielBELLEVILLE Senators (OTW)RW3921416716030275616503.57%359915.381569117000000147.62%4200000.5300000102
9Calle RosenBELLEVILLE Senators (OTW)D3958139240282747102510.64%3294924.35415261300000122100.00%000100.2700000300
10Alex FormentonBELLEVILLE Senators (OTW)LW39561152013346517647.69%553713.781010001121121152.94%3400000.4102000001
11Timothy LiljegrenBELLEVILLE Senators (OTW)D3911011532068325420281.85%4878520.15134401140000108000.00%000000.2800000002
12Josh MahuraBELLEVILLE Senators (OTW)D391101158021255417341.85%3081220.84123331140000126000.00%000000.2700000000
13Sam AnasBELLEVILLE Senators (OTW)C/RW39279-30017266227563.23%165516.8011214127000000053.85%3900000.2701000001
14Daniel BrickleyBELLEVILLE Senators (OTW)D394591318054201561326.67%3259315.210001200009010.00%000000.3000000002
15Mike VecchioneBELLEVILLE Senators (OTW)C3935812010463511198.57%1147012.08000000000660055.98%51800000.3400000000
16Jimmy SchuldtBELLEVILLE Senators (OTW)D39077134405010170140.00%3261715.8200000000042000.00%000000.2300000001
17Andrew PoturalskiBELLEVILLE Senators (OTW)C39134240312238214.35%12556.56011316000040063.64%2200000.3100000000
Stats d'équipe Total ou en Moyenne66396166262131334071266212483648547.69%2961148517.32192948276122812311105219758.29%310700110.46322000121923
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)39211440.9291.77236706709850010.81822390554
Stats d'équipe Total ou en Moyenne39211440.9291.77236706709850010.81822390554


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)LW201999-09-13No75 Kg188 CMNoNoNo6Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Andrew MangiapaneBELLEVILLE Senators (OTW)LW241996-04-04No84 Kg178 CMNoNoNo5Pro & Farm1,100,000$575,229$1,100,000$575,229$0$0$No1,100,000$1,100,000$1,100,000$1,100,000$Lien
Andrew PoturalskiBELLEVILLE Senators (OTW)C261994-01-14No86 Kg180 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
Calle RosenBELLEVILLE Senators (OTW)D261994-02-02No85 Kg185 CMNoNoNo3Pro & Farm750,000$392,201$500,000$261,467$0$0$No750,000$750,000$Lien
Dan HamhuisBELLEVILLE Senators (OTW)D371982-12-13No93 Kg185 CMNoNoNo1Pro & Farm1,250,000$653,669$1,250,000$653,669$0$0$NoLien
Daniel BrickleyBELLEVILLE Senators (OTW)D251995-03-30No92 Kg191 CMNoNoNo3Pro & Farm750,000$392,201$500,000$261,467$0$0$No750,000$750,000$Lien
Dylan FergusonBELLEVILLE Senators (OTW)G211998-09-20No86 Kg185 CMNoNoNo6Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Jimmy SchuldtBELLEVILLE Senators (OTW)D251995-05-11No92 Kg183 CMNoNoNo3Pro & Farm750,000$392,201$500,000$261,467$0$0$No750,000$750,000$Lien
Josh MahuraBELLEVILLE Senators (OTW)D221998-05-05No85 Kg183 CMNoNoNo3Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$Lien
Kurtis GabrielBELLEVILLE Senators (OTW)RW271993-04-20No91 Kg193 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Matt PuempelBELLEVILLE Senators (OTW)LW271993-01-24No91 Kg185 CMNoNoNo3Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$Lien
Michael McLeodBELLEVILLE Senators (OTW)C221998-02-03No85 Kg188 CMNoNoNo3Pro & Farm750,000$392,201$500,000$261,467$0$0$No750,000$750,000$Lien
Michael RafflBELLEVILLE Senators (OTW)LW311988-12-01No91 Kg183 CMNoNoNo4Pro & Farm1,600,000$836,697$1,600,000$836,697$0$0$No1,600,000$1,600,000$1,600,000$Lien
Mike VecchioneBELLEVILLE Senators (OTW)C271993-02-25No88 Kg178 CMNoNoNo3Pro & Farm750,000$392,201$500,000$261,467$0$0$No750,000$750,000$Lien
Nolan PatrickBELLEVILLE Senators (OTW)C211998-09-19No90 Kg188 CMNoNoNo2Pro & Farm925,000$483,715$925,000$483,715$0$0$No925,000$Lien
Sam AnasBELLEVILLE Senators (OTW)C/RW271993-06-01No74 Kg173 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
Sam BennettBELLEVILLE Senators (OTW)C241996-06-20No89 Kg185 CMNoNoNo2Pro & Farm2,400,000$1,255,045$2,400,000$1,255,045$0$0$No2,400,000$Lien
Timothy LiljegrenBELLEVILLE Senators (OTW)D211999-04-30Yes90 Kg183 CMNoNoNo4Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1825.1787 Kg185 CM3.11945,833$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael RafflNolan PatrickSam Anas31122
2Andrew MangiapaneSam BennettKurtis Gabriel26122
3Alex FormentonMike VecchioneMichael Raffl23122
4Matt PuempelMichael McLeodAndrew Mangiapane20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dan HamhuisCalle Rosen31122
2Josh MahuraTimothy Liljegren26122
3Daniel BrickleyJimmy Schuldt23122
4Dan HamhuisCalle Rosen20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael RafflNolan PatrickSam Anas55122
2Andrew MangiapaneSam BennettKurtis Gabriel45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dan HamhuisCalle Rosen55122
2Josh MahuraTimothy Liljegren45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael RafflAndrew Mangiapane55122
2Nolan PatrickAlex Formenton45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dan HamhuisCalle Rosen55122
2Josh MahuraTimothy Liljegren45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Michael Raffl55122Dan HamhuisCalle Rosen55122
2Andrew Mangiapane45122Josh MahuraTimothy Liljegren45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael RafflAndrew Mangiapane55122
2Nolan PatrickAlex Formenton45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dan HamhuisCalle Rosen55122
2Josh MahuraTimothy Liljegren45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael RafflNolan PatrickSam AnasDan HamhuisCalle Rosen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael RafflNolan PatrickSam AnasDan HamhuisCalle 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
Michael Raffl, Andrew Mangiapane, Nolan Patrick, Alex Formenton, Matt Puempel
Gardien
#1 : Dylan Ferguson, #2 :
Lignes d'Attaque Perso. en Prol.
Michael Raffl, Andrew Mangiapane, Nolan Patrick, Alex Formenton, Matt Puempel, Sam Bennett, Sam Bennett, Mike Vecchione, Michael McLeod, Sam Anas, Kurtis Gabriel
Lignes de Défense Perso. en Prol.
Dan Hamhuis, 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
1BRIDGEPORT Sound Tigers3120000079-2110000004222020000037-420.33379161039342248637842242842772424659111.11%11372.73%0774132358.50%707119759.06%33054660.44%1033740853275483251
2BROOKLYN Wolfpack21100000431110000003031010000013-220.5004711013934224513784224284251131428500.00%7185.71%0774132358.50%707119759.06%33054660.44%1033740853275483251
3CHICAGO Wolves11000000303000000000001100000030321.00035801393422424378422428422551016200.00%40100.00%0774132358.50%707119759.06%33054660.44%1033740853275483251
4COLORADO Eagles1010000001-11010000001-10000000000000.00000000393422440378422428422471219500.00%60100.00%0774132358.50%707119759.06%33054660.44%1033740853275483251
5HERSEY Bears10000010211100000102110000000000021.0002240039342244237842242842144419400.00%20100.00%0774132358.50%707119759.06%33054660.44%1033740853275483251
6HOLLYWOOD Oscar2110000067-1000000000002110000067-120.5006101600393422462378422428426927183912325.00%7271.43%0774132358.50%707119759.06%33054660.44%1033740853275483251
7IOWA Wild21100000431110000002021010000023-120.500461001393422473378422428424411631600.00%30100.00%0774132358.50%707119759.06%33054660.44%1033740853275483251
8LAVAL Rockets21100000431000000000002110000043120.500471100393422446378422428426116183910110.00%9277.78%0774132358.50%707119759.06%33054660.44%1033740853275483251
9MILWAUKEE Admirals42100001862210000015412110000032150.6258132100393422494378422428428728385811218.18%16381.25%0774132358.50%707119759.06%33054660.44%1033740853275483251
10MONT-LAURIER Sommet21000010752110000002111000001054141.00071219003934224853784224284254132644400.00%12191.67%0774132358.50%707119759.06%33054660.44%1033740853275483251
11Manitoba Moose1010000013-21010000013-20000000000000.0001230039342242537842242842257617100.00%30100.00%0774132358.50%707119759.06%33054660.44%1033740853275483251
12PROVIDENCE Bruins1010000024-2000000000001010000024-200.00024600393422447378422428421536156116.67%2150.00%0774132358.50%707119759.06%33054660.44%1033740853275483251
13PV Sharapovas21000001330210000013300000000000030.7503580039342246337842242842401616341417.14%7185.71%1774132358.50%707119759.06%33054660.44%1033740853275483251
14Quebec Nordiques11000000303110000003030000000000021.00034701393422444378422428421881019200.00%40100.00%0774132358.50%707119759.06%33054660.44%1033740853275483251
15SAN DIEGO Gulls110000001221011000000122100000000000021.00012243600393422463378422428421371214000.00%50100.00%0774132358.50%707119759.06%33054660.44%1033740853275483251
16STOCKTON Flames21001000835210010008350000000000041.000815230039342247237842242842441616405240.00%7185.71%0774132358.50%707119759.06%33054660.44%1033740853275483251
17Syracruse Crunch321000006421010000012-12200000052340.66761117003934224105378422428428015205414214.29%10190.00%0774132358.50%707119759.06%33054660.44%1033740853275483251
18TUSCON Roadrunners3120000057-21010000024-22110000033020.33358130139342247637842242842943130597114.29%14285.71%0774132358.50%707119759.06%33054660.44%1033740853275483251
Total3918140102498752320950101455361919990001043394460.590981662641639342241248378422428429862963347121401913.57%1502186.00%1774132358.50%707119759.06%33054660.44%1033740853275483251
20UTICA Comets1010000034-11010000034-10000000000000.0003690039342242637842242842371012192150.00%6183.33%0774132358.50%707119759.06%33054660.44%1033740853275483251
21VICTORIAVILLE Tigres210000015321000000123-11100000030330.75058130139342245337842242842622214335240.00%60100.00%0774132358.50%707119759.06%33054660.44%1033740853275483251
22WILKIES-BARRIE Penguins210000015411000000123-11100000031230.750581300393422471378422428425213225016212.50%9277.78%0774132358.50%707119759.06%33054660.44%1033740853275483251
_Since Last GM Reset3918140102498752320950101455361919990001043394460.590981662641639342241248378422428429862963347121401913.57%1502186.00%1774132358.50%707119759.06%33054660.44%1033740853275483251
_Vs Conference1910401013483513115201003241868520001024177270.711488112903393422465337842242842488148154361791215.19%68888.24%1774132358.50%707119759.06%33054660.44%1033740853275483251
_Vs Division831000021817142100002116541000000711-480.5001826441139342242503784224284219454641623438.82%29679.31%0774132358.50%707119759.06%33054660.44%1033740853275483251

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3946W1098166264124898629633471216
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
39181410249875
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
209510145536
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
199900104339
Derniers 10 Matchs
WLOTWOTL SOWSOL
1000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1401913.57%1502186.00%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
378422428423934224
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
774132358.50%707119759.06%33054660.44%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1033740853275483251


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 - 2020-08-0213UTICA Comets4BELLEVILLE Senators3LSommaire du Match
3 - 2020-08-0426BELLEVILLE Senators1BRIDGEPORT Sound Tigers3LSommaire du Match
4 - 2020-08-0536MONT-LAURIER Sommet1BELLEVILLE Senators2WSommaire du Match
6 - 2020-08-0755COLORADO Eagles1BELLEVILLE Senators0LSommaire du Match
8 - 2020-08-0974BELLEVILLE Senators3MILWAUKEE Admirals1WSommaire du Match
9 - 2020-08-1080Quebec Nordiques0BELLEVILLE Senators3WSommaire du Match
10 - 2020-08-1194BELLEVILLE Senators2Syracruse Crunch1WSommaire du Match
11 - 2020-08-12106Manitoba Moose3BELLEVILLE Senators1LSommaire du Match
12 - 2020-08-13123BELLEVILLE Senators0MILWAUKEE Admirals1LSommaire du Match
13 - 2020-08-14132WILKIES-BARRIE Penguins3BELLEVILLE Senators2LXXR3Sommaire du Match
15 - 2020-08-16146BELLEVILLE Senators4HOLLYWOOD Oscar3WSommaire du Match
16 - 2020-08-17155BELLEVILLE Senators1LAVAL Rockets2LSommaire du Match
17 - 2020-08-18166VICTORIAVILLE Tigres3BELLEVILLE Senators2LXXSommaire du Match
19 - 2020-08-20185STOCKTON Flames1BELLEVILLE Senators5WSommaire du Match
21 - 2020-08-22202BELLEVILLE Senators2IOWA Wild3LSommaire du Match
22 - 2020-08-23211Syracruse Crunch2BELLEVILLE Senators1LSommaire du Match
23 - 2020-08-24225BELLEVILLE Senators3VICTORIAVILLE Tigres0WSommaire du Match
24 - 2020-08-25227BELLEVILLE Senators3Syracruse Crunch1WSommaire du Match
25 - 2020-08-26241BELLEVILLE Senators2BRIDGEPORT Sound Tigers4LSommaire du Match
26 - 2020-08-27253MILWAUKEE Admirals2BELLEVILLE Senators1LXXSommaire du Match
27 - 2020-08-28269PV Sharapovas2BELLEVILLE Senators1LXXSommaire du Match
29 - 2020-08-30288BELLEVILLE Senators2PROVIDENCE Bruins4LSommaire du Match
30 - 2020-08-31294TUSCON Roadrunners4BELLEVILLE Senators2LSommaire du Match
32 - 2020-09-02315HERSEY Bears1BELLEVILLE Senators2WXXSommaire du Match
33 - 2020-09-03326BELLEVILLE Senators2HOLLYWOOD Oscar4LSommaire du Match
34 - 2020-09-04329BELLEVILLE Senators1TUSCON Roadrunners3LSommaire du Match
36 - 2020-09-06347BELLEVILLE Senators3WILKIES-BARRIE Penguins1WR3Sommaire du Match
37 - 2020-09-07354BROOKLYN Wolfpack0BELLEVILLE Senators3WSommaire du Match
38 - 2020-09-08374BELLEVILLE Senators1BROOKLYN Wolfpack3LSommaire du Match
39 - 2020-09-09382MILWAUKEE Admirals2BELLEVILLE Senators4WSommaire du Match
41 - 2020-09-11401BRIDGEPORT Sound Tigers2BELLEVILLE Senators4WSommaire du Match
42 - 2020-09-12415BELLEVILLE Senators3CHICAGO Wolves0WSommaire du Match
44 - 2020-09-14427IOWA Wild0BELLEVILLE Senators2WSommaire du Match
45 - 2020-09-15434BELLEVILLE Senators2TUSCON Roadrunners0WSommaire du Match
46 - 2020-09-16449PV Sharapovas1BELLEVILLE Senators2WSommaire du Match
48 - 2020-09-18465BELLEVILLE Senators5MONT-LAURIER Sommet4WXXSommaire du Match
49 - 2020-09-19478STOCKTON Flames2BELLEVILLE Senators3WXSommaire du Match
50 - 2020-09-20482BELLEVILLE Senators3LAVAL Rockets1WSommaire du Match
52 - 2020-09-22503SAN DIEGO Gulls2BELLEVILLE Senators12WSommaire du Match
53 - 2020-09-23514BELLEVILLE Senators-Manitoba Moose-
54 - 2020-09-24525BELLEVILLE Senators-Marlies de Toronto-
55 - 2020-09-25535BROOKLYN Wolfpack-BELLEVILLE Senators-
57 - 2020-09-27554BELLEVILLE Senators-LEHIGH VALLEY Phantoms-
58 - 2020-09-28561COLORADO Eagles-BELLEVILLE Senators-
59 - 2020-09-29577BELLEVILLE Senators-PROVIDENCE Bruins-
60 - 2020-09-30589Binghampton Devils-BELLEVILLE Senators-
61 - 2020-10-01604Manitoba Moose-BELLEVILLE Senators-
63 - 2020-10-03617BELLEVILLE Senators-Quebec Nordiques-
64 - 2020-10-04632Quebec Nordiques-BELLEVILLE Senators-
65 - 2020-10-05643BELLEVILLE Senators-IOWA Wild-
67 - 2020-10-07659PROVIDENCE Bruins-BELLEVILLE Senators-
69 - 2020-10-09676BELLEVILLE Senators-ROCKFORD IceHogs-
70 - 2020-10-10689HOLLYWOOD Oscar-BELLEVILLE Senators-
71 - 2020-10-11702BELLEVILLE Senators-Binghampton Devils-
72 - 2020-10-12714WILKIES-BARRIE Penguins-BELLEVILLE Senators-
74 - 2020-10-14732LAVAL Rockets-BELLEVILLE Senators-
75 - 2020-10-15737BELLEVILLE Senators-UTICA Comets-
76 - 2020-10-16752BELLEVILLE Senators-ROCKFORD IceHogs-
77 - 2020-10-17763BELLEVILLE Senators-UTICA Comets-
78 - 2020-10-18770BRIDGEPORT Sound Tigers-BELLEVILLE Senators-
80 - 2020-10-20790MONT-LAURIER Sommet-BELLEVILLE Senators-
82 - 2020-10-22812VICTORIAVILLE Tigres-BELLEVILLE Senators-
83 - 2020-10-23820BELLEVILLE Senators-SAN DIEGO Gulls-
84 - 2020-10-24835LEHIGH VALLEY Phantoms-BELLEVILLE Senators-
86 - 2020-10-26847BELLEVILLE Senators-SAN DIEGO Gulls-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
87 - 2020-10-27855BELLEVILLE Senators-HERSEY Bears-
88 - 2020-10-28868ROCKFORD IceHogs-BELLEVILLE Senators-
90 - 2020-10-30891Marlies de Toronto-BELLEVILLE Senators-
91 - 2020-10-31900BELLEVILLE Senators-BRIDGEPORT Sound Tigers-
92 - 2020-11-01909BELLEVILLE Senators-HERSEY Bears-
93 - 2020-11-02922Marlies de Toronto-BELLEVILLE Senators-
95 - 2020-11-04940Binghampton Devils-BELLEVILLE Senators-
96 - 2020-11-05954BELLEVILLE Senators-COLORADO Eagles-
97 - 2020-11-06965CHICAGO Wolves-BELLEVILLE Senators-
98 - 2020-11-07968BELLEVILLE Senators-LEHIGH VALLEY Phantoms-
99 - 2020-11-08983BELLEVILLE Senators-PV Sharapovas-
103 - 2020-11-121001CHICAGO Wolves-BELLEVILLE Senators-
104 - 2020-11-131014BELLEVILLE Senators-STOCKTON Flames-
106 - 2020-11-151024PROVIDENCE Bruins-BELLEVILLE Senators-
107 - 2020-11-161037BELLEVILLE Senators-STOCKTON Flames-



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
20 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
813,106$ 1,702,500$ 1,577,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 812,188$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 15,619$ 890,283$




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
3382186400000154443-289419320000078223-145419320000076220-1443615427643012764038015575125055400631917148710477500.00%26388.46%0349109631.84%835376422.18%324120726.84%7264683450504742250
34391814010249875232095010145536191999000104339446981662641639342241248378422428429862963347121401913.57%1502186.00%1774132358.50%707119759.06%33054660.44%1033740853275483251
Total Saison Régulière121367801024252518-26661183701014133259-12660184100010119259-140822524426942811574604280589092796842730520104211759215198.84%1762486.36%11123241946.42%1542496131.08%654175337.31%1760120943037801226501