VICTORIAVILLE Tigres

GP: 7 | W: 5 | L: 1 | OTL: 1 | P: 11
GF: 24 | GA: 16 | PP%: 28.57% | PK%: 90.91%
DG: Ralph/Sam Beauchamp | Morale : 99 | Moyenne d'Équipe : 60
Prochain matchs #99 vs HOLLYWOOD Oscar
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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
1Anton Slepyshev0X100.007041827282766866306565627054526292670
2Daniel Sprong0X100.006235756970797668586669606954517496670
3Shawn Matthias0XX100.006341827189774460306261696572615896660
4Conor Garland0X100.005935737063708169636571607052515896660
5Mason Appleton0X100.005835696979606868616664566551504999640
6Troy Terry0X100.005335757073646669526865556651505596640
7Peter Cehlarik0X100.005535726981586069506061536251506296620
8Carl Grundstrom (R)0X100.005835697075575770506365536651507097620
9Sam Steel (R)0X100.005335727070596170706666546751507896620
10Dylan Gambrell0X100.005235706973535469706565546550506796610
11Trent Frederic0X100.005853616681555766716262556351507996610
12Brandon Gignac (R)0X100.005035667066505070705757505750506597570
13Garrett Pilon (R)0X100.005089706872505068705656505650504496570
14Givani Smith (R)0X100.005689535881505058505454515450504495560
15Henri Jokiharju (R)0X100.006135756873686967305949636152508196620
16Samuel Morin0X100.006935755393645253305050655850508396590
17Kyle Capobianco0X100.005335636977525169305247535750506896570
18Brian Lashoff0X100.006235666287515262304642525255523695560
Rayé
1Lukas Jasek (R)0X100.005089676854505068505656505650504493560
2Chase Balisy (R)0XX100.005089646368505063705454515450504292550
3Linus Olund (R)0X100.005089716271475062705454525450504492550
4Travis Barron (R)0X100.005389645577505055505353515350504492540
5Jonne Tammela0X100.005089715768445057705252515250504492530
6Robbie Russo0X100.005089657073505070304944535451506096560
7Olli Juolevi (R)0X100.005089737077505070304742505250504494550
MOYENNE D'ÉQUIPE100.00565670667557576551585755605251589560
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
1Oscar Dansk100.00786782827776787776777250647596670
Rayé
MOYENNE D'ÉQUIPE100.0078678282777678777677725064759667
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ross Yates65656565737352CAN612150,000$


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
1Daniel SprongVICTORIAVILLE Tigres (VGK)RW75914920101048144310.42%213018.59235715000051290.91%1100012.1500000121
2Sam SteelVICTORIAVILLE Tigres (VGK)C7178500511307343.33%011216.09022615000000075.52%14300001.4200000000
3Henri JokiharjuVICTORIAVILLE Tigres (VGK)D7246100571771211.76%817925.6512361600008100.00%000000.6700000000
4Anton SlepyshevVICTORIAVILLE Tigres (VGK)LW63252401562382313.04%18414.15101510000051062.50%800001.1800000000
5Shawn MatthiasVICTORIAVILLE Tigres (VGK)C/LW3325400412472112.50%05418.3201105000001059.42%6900001.8200000011
6Conor GarlandVICTORIAVILLE Tigres (VGK)RW7314300634615326.52%010815.53011218000110057.14%700000.7400000001
7Dylan GambrellVICTORIAVILLE Tigres (VGK)C704422037236100.00%09513.64000111000000076.27%11800000.8400000000
8Troy TerryVICTORIAVILLE Tigres (VGK)RW722400079255248.00%713118.8311236000081060.00%500000.6100000000
9Robbie RussoVICTORIAVILLE Tigres (VGK)D712344012513447.69%415322.0000041200004000.00%000000.3900000001
10Samuel MorinVICTORIAVILLE Tigres (VGK)D711204012392611.11%1517424.9010131500006000.00%000000.2300000000
11Trent FredericVICTORIAVILLE Tigres (VGK)C7112040911212114.76%2689.7300000000000081.61%8700000.5900000100
12Kenny AgostinoVEGAS Golden KnightsLW11011000160116.67%01717.45000020001400100.00%100001.1500000010
13Mason AppletonVICTORIAVILLE Tigres (VGK)RW31011202311489.09%03712.4900000000000066.67%300000.5300000000
14Peter CehlarikVICTORIAVILLE Tigres (VGK)LW700004037187150.00%07610.89000000000100100.00%400000.0000000000
15Brandon GignacVICTORIAVILLE Tigres (VGK)LW3000-100101010.00%172.570000000000000.00%000000.0000000000
16Kyle CapobiancoVICTORIAVILLE Tigres (VGK)D700032012610270.00%315722.4900021300005000.00%000000.0000000000
17Roope HintzVEGAS Golden KnightsLW1000100213030.00%12222.3700012000040077.78%900000.0000000000
18Carl GrundstromVICTORIAVILLE Tigres (VGK)RW3000020002020.00%13010.120000100003000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne972435593530010891330902577.27%45164316.9461016401480002615274.41%46500010.7200000244
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
1Oscar DanskVICTORIAVILLE Tigres (VGK)75110.8902.2842201161460000.000070000
Stats d'équipe Total ou en Moyenne75110.8902.2842201161460000.000070000


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
Anton SlepyshevVICTORIAVILLE Tigres (VGK)LW251994-05-13No100 Kg188 CMNoNoNo3Pro & Farm1,000,000$909,909$1,000,000$909,909$0$0$No1,000,000$1,000,000$Lien
Brandon GignacVICTORIAVILLE Tigres (VGK)LW211997-11-07Yes77 Kg180 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Brian LashoffVICTORIAVILLE Tigres (VGK)D291990-07-16No100 Kg191 CMNoNoNo3Pro & Farm650,000$591,441$650,000$591,441$0$0$No650,000$650,000$Lien
Carl GrundstromVICTORIAVILLE Tigres (VGK)RW211997-12-01Yes91 Kg183 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Chase BalisyVICTORIAVILLE Tigres (VGK)C/RW271992-02-02Yes81 Kg180 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Conor GarlandVICTORIAVILLE Tigres (VGK)RW231996-03-11No75 Kg178 CMNoNoNo5Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$750,000$Lien
Daniel SprongVICTORIAVILLE Tigres (VGK)RW221997-03-17No82 Kg183 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Dylan GambrellVICTORIAVILLE Tigres (VGK)C231996-08-26No89 Kg183 CMNoNoNo1Pro & Farm725,000$659,684$725,000$659,684$0$0$NoLien
Garrett PilonVICTORIAVILLE Tigres (VGK)C211998-04-13Yes85 Kg183 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Givani SmithVICTORIAVILLE Tigres (VGK)LW211998-02-27Yes93 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Henri JokiharjuVICTORIAVILLE Tigres (VGK)D201999-06-17Yes88 Kg183 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Jonne TammelaVICTORIAVILLE Tigres (VGK)C221997-08-05No85 Kg178 CMNoNoNo4Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$Lien
Kyle CapobiancoVICTORIAVILLE Tigres (VGK)D221997-08-13No89 Kg185 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Linus OlundVICTORIAVILLE Tigres (VGK)C221997-06-05Yes84 Kg183 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Lukas JasekVICTORIAVILLE Tigres (VGK)RW221997-08-28Yes75 Kg155 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Mason AppletonVICTORIAVILLE Tigres (VGK)RW231996-01-15No88 Kg188 CMNoNoNo6Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Olli JuoleviVICTORIAVILLE Tigres (VGK)D211998-05-05Yes83 Kg188 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Oscar DanskVICTORIAVILLE Tigres (VGK)G251994-02-28No89 Kg191 CMNoNoNo5Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$750,000$Lien
Peter CehlarikVICTORIAVILLE Tigres (VGK)LW241995-08-02No92 Kg188 CMNoNoNo1Pro & Farm725,000$659,684$725,000$659,684$0$0$NoLien
Robbie RussoVICTORIAVILLE Tigres (VGK)D261993-02-15No87 Kg183 CMNoNoNo3Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$Lien
Sam SteelVICTORIAVILLE Tigres (VGK)C211998-02-03Yes85 Kg180 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Samuel MorinVICTORIAVILLE Tigres (VGK)D241995-07-12No92 Kg198 CMNoNoNo4Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$Lien
Shawn MatthiasVICTORIAVILLE Tigres (VGK)C/LW311988-02-19No105 Kg193 CMNoNoNo3Pro & Farm2,250,000$2,047,297$2,250,000$2,047,297$0$0$No2,250,000$2,250,000$Lien
Travis BarronVICTORIAVILLE Tigres (VGK)LW201998-11-17Yes91 Kg185 CMNoNoNo2Pro & Farm750,000$682,432$325,000$295,720$0$0$No750,000$Lien
Trent FredericVICTORIAVILLE Tigres (VGK)C211998-02-11No92 Kg188 CMNoNoNo4Pro & Farm925,000$841,666$925,000$841,666$0$0$No925,000$925,000$925,000$Lien
Troy TerryVICTORIAVILLE Tigres (VGK)RW211997-09-10No81 Kg185 CMNoNoNo1Pro & Farm725,000$659,684$725,000$659,684$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2623.0088 Kg185 CM2.58817,308$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton SlepyshevShawn MatthiasDaniel Sprong31122
2Peter CehlarikSam SteelConor Garland26122
3Brandon GignacTrent FredericTroy Terry23122
4Givani SmithDylan GambrellMason Appleton20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Henri JokiharjuSamuel Morin31122
2Kyle CapobiancoBrian Lashoff26122
3Henri JokiharjuSamuel Morin23122
4Kyle CapobiancoBrian Lashoff20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton SlepyshevShawn MatthiasDaniel Sprong55122
2Peter CehlarikSam SteelConor Garland45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Henri JokiharjuSamuel Morin55122
2Kyle CapobiancoBrian Lashoff45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anton SlepyshevDaniel Sprong55122
2Shawn MatthiasConor Garland45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Henri JokiharjuSamuel Morin55122
2Kyle CapobiancoBrian Lashoff45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anton Slepyshev55122Henri JokiharjuSamuel Morin55122
2Daniel Sprong45122Kyle CapobiancoBrian Lashoff45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anton SlepyshevDaniel Sprong55122
2Shawn MatthiasConor Garland45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Henri JokiharjuSamuel Morin55122
2Kyle CapobiancoBrian Lashoff45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton SlepyshevShawn MatthiasDaniel SprongHenri JokiharjuSamuel Morin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton SlepyshevShawn MatthiasDaniel SprongHenri JokiharjuSamuel Morin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Carl Grundstrom, Garrett Pilon, Troy TerryCarl Grundstrom, Garrett PilonTroy Terry
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Henri Jokiharju, Samuel Morin, Kyle CapobiancoHenri JokiharjuSamuel Morin, Kyle Capobianco
Tirs de Pénalité
Anton Slepyshev, Daniel Sprong, Shawn Matthias, Conor Garland, Troy Terry
Gardien
#1 : Oscar Dansk, #2 :
Lignes d'Attaque Perso. en Prol.
Anton Slepyshev, Daniel Sprong, Shawn Matthias, Conor Garland, Troy Terry, Mason Appleton, Mason Appleton, Peter Cehlarik, Sam Steel, Carl Grundstrom, Trent Frederic
Lignes de Défense Perso. en Prol.
Henri Jokiharju, Samuel Morin, Kyle Capobianco, Brian Lashoff,


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
1Binghampton Devils22000000752110000003211100000043141.00071118009510097114110109038116244125.00%30100.00%021130569.18%10016062.50%548861.36%233187117357140
2MONT-LAURIER Sommet11000000312000000000001100000031221.000336009510024114110109023131017300.00%40100.00%021130569.18%10016062.50%548861.36%233187117357140
3SAN DIEGO Gulls11000000505110000005050000000000021.000581301951009211411010902009000.00%000.00%021130569.18%10016062.50%548861.36%233187117357140
4STOCKTON Flames1000010034-11000010034-10000000000010.50036900951002711411010904392165240.00%000.00%021130569.18%10016062.50%548861.36%233187117357140
5Syracruse Crunch21100000660110000003211010000034-120.50068140095100931141101090401212439333.33%4175.00%021130569.18%10016062.50%548861.36%233187117357140
Total7510010024168430001001486321000001082110.78624366001951003331141101090146453010921628.57%11190.91%021130569.18%10016062.50%548861.36%233187117357140
_Since Last GM Reset7510010024168430001001486321000001082110.78624366001951003331141101090146453010921628.57%11190.91%021130569.18%10016062.50%548861.36%233187117357140
_Vs Conference64100100191633200010098132100000108290.75019284700951002411141101090144453010021628.57%11190.91%021130569.18%10016062.50%548861.36%233187117357140
_Vs Division22100100660110001003211110000034-151.25068140095100931141101090401212439333.33%4175.00%021130569.18%10016062.50%548861.36%233187117357140

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
711W4243660333146453010901
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
75101002416
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4300100148
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3210000108
Derniers 10 Matchs
WLOTWOTL SOWSOL
510100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
21628.57%11190.91%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
114110109095100
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
21130569.18%10016062.50%548861.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
233187117357140


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 - 2020-01-152VICTORIAVILLE Tigres3Syracruse Crunch4LSommaire du Match
2 - 2020-01-1615Syracruse Crunch2VICTORIAVILLE Tigres3WSommaire du Match
3 - 2020-01-1735STOCKTON Flames4VICTORIAVILLE Tigres3LXSommaire du Match
4 - 2020-01-1850VICTORIAVILLE Tigres4Binghampton Devils3WSommaire du Match
5 - 2020-01-1961VICTORIAVILLE Tigres3MONT-LAURIER Sommet1WSommaire du Match
7 - 2020-01-2168SAN DIEGO Gulls0VICTORIAVILLE Tigres5WSommaire du Match
9 - 2020-01-2383Binghampton Devils2VICTORIAVILLE Tigres3WSommaire du Match
11 - 2020-01-2599VICTORIAVILLE Tigres-HOLLYWOOD Oscar-
13 - 2020-01-27113VICTORIAVILLE Tigres-Binghampton Devils-
15 - 2020-01-29120MONT-LAURIER Sommet-VICTORIAVILLE Tigres-
17 - 2020-01-31138VICTORIAVILLE Tigres-LEHIGH VALLEY Phantoms-
19 - 2020-02-02145LEHIGH VALLEY Phantoms-VICTORIAVILLE Tigres-
21 - 2020-02-04167HOLLYWOOD Oscar-VICTORIAVILLE Tigres-
23 - 2020-02-06184VICTORIAVILLE Tigres-BRIDGEPORT Sound Tigers-
24 - 2020-02-07195BELLEVILLE Senators-VICTORIAVILLE Tigres-
26 - 2020-02-09210VICTORIAVILLE Tigres-CORNWALL Aces-
27 - 2020-02-10220MILWAUKEE Admirals-VICTORIAVILLE Tigres-
28 - 2020-02-11235PV Sharapovas-VICTORIAVILLE Tigres-
29 - 2020-02-12251VICTORIAVILLE Tigres-Syracruse Crunch-
31 - 2020-02-14260VICTORIAVILLE Tigres-MILWAUKEE Admirals-
32 - 2020-02-15273MONT-LAURIER Sommet-VICTORIAVILLE Tigres-
33 - 2020-02-16289TUSCON Roadrunners-VICTORIAVILLE Tigres-
34 - 2020-02-17301VICTORIAVILLE Tigres-LAVAL Rockets-
36 - 2020-02-19315VICTORIAVILLE Tigres-CORNWALL Aces-
37 - 2020-02-20324STOCKTON Flames-VICTORIAVILLE Tigres-
38 - 2020-02-21338VICTORIAVILLE Tigres-ROCKFORD IceHogs-
39 - 2020-02-22349VICTORIAVILLE Tigres-BRIDGEPORT Sound Tigers-
40 - 2020-02-23359CORNWALL Aces-VICTORIAVILLE Tigres-
42 - 2020-02-25376Marlies de Toronto-VICTORIAVILLE Tigres-
43 - 2020-02-26389VICTORIAVILLE Tigres-MONT-LAURIER Sommet-
44 - 2020-02-27399CHICAGO Wolves-VICTORIAVILLE Tigres-
45 - 2020-02-28416VICTORIAVILLE Tigres-CHICAGO Wolves-
46 - 2020-02-29424Syracruse Crunch-VICTORIAVILLE Tigres-
47 - 2020-03-01443VICTORIAVILLE Tigres-SAN DIEGO Gulls-
49 - 2020-03-03451PROVIDENCE Bruins-VICTORIAVILLE Tigres-
50 - 2020-03-04465VICTORIAVILLE Tigres-UTICA Comets-
52 - 2020-03-06478CHICAGO Wolves-VICTORIAVILLE Tigres-
53 - 2020-03-07486VICTORIAVILLE Tigres-HERSEY Bears-
54 - 2020-03-08505VICTORIAVILLE Tigres-LEHIGH VALLEY Phantoms-
55 - 2020-03-09512HERSEY Bears-VICTORIAVILLE Tigres-
57 - 2020-03-11530IOWA Wild-VICTORIAVILLE Tigres-
59 - 2020-03-13550BROOKLYN Wolfpack-VICTORIAVILLE Tigres-
60 - 2020-03-14555VICTORIAVILLE Tigres-PROVIDENCE Bruins-
61 - 2020-03-15573IOWA Wild-VICTORIAVILLE Tigres-
62 - 2020-03-16584VICTORIAVILLE Tigres-WILKIES-BARRIE Penguins-
63 - 2020-03-17592VICTORIAVILLE Tigres-HOLLYWOOD Oscar-
64 - 2020-03-18606Manitoba Moose-VICTORIAVILLE Tigres-
65 - 2020-03-19619VICTORIAVILLE Tigres-Binghampton Devils-
66 - 2020-03-20628VICTORIAVILLE Tigres-BROOKLYN Wolfpack-
68 - 2020-03-22643Binghampton Devils-VICTORIAVILLE Tigres-
69 - 2020-03-23661LAVAL Rockets-VICTORIAVILLE Tigres-
70 - 2020-03-24674VICTORIAVILLE Tigres-TUSCON Roadrunners-
71 - 2020-03-25685VICTORIAVILLE Tigres-PV Sharapovas-
72 - 2020-03-26693VICTORIAVILLE Tigres-Manitoba Moose-
73 - 2020-03-27701BELLEVILLE Senators-VICTORIAVILLE Tigres-
75 - 2020-03-29720HOLLYWOOD Oscar-VICTORIAVILLE Tigres-
76 - 2020-03-30736PV Sharapovas-VICTORIAVILLE Tigres-
77 - 2020-03-31748VICTORIAVILLE Tigres-BELLEVILLE Senators-
78 - 2020-04-01760ROCKFORD IceHogs-VICTORIAVILLE Tigres-
79 - 2020-04-02768VICTORIAVILLE Tigres-Syracruse Crunch-
80 - 2020-04-03779VICTORIAVILLE Tigres-STOCKTON Flames-
82 - 2020-04-05800Manitoba Moose-VICTORIAVILLE Tigres-
83 - 2020-04-06809VICTORIAVILLE Tigres-Marlies de Toronto-
84 - 2020-04-07824VICTORIAVILLE Tigres-Manitoba Moose-
85 - 2020-04-08831UTICA Comets-VICTORIAVILLE Tigres-
87 - 2020-04-10849VICTORIAVILLE Tigres-IOWA Wild-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11857Syracruse Crunch-VICTORIAVILLE Tigres-
89 - 2020-04-12876VICTORIAVILLE Tigres-BELLEVILLE Senators-
90 - 2020-04-13884WILKIES-BARRIE Penguins-VICTORIAVILLE Tigres-
91 - 2020-04-14900VICTORIAVILLE Tigres-STOCKTON Flames-
92 - 2020-04-15909WILKIES-BARRIE Penguins-VICTORIAVILLE Tigres-
93 - 2020-04-16922VICTORIAVILLE Tigres-PV Sharapovas-
94 - 2020-04-17933BRIDGEPORT Sound Tigers-VICTORIAVILLE Tigres-
96 - 2020-04-19952LEHIGH VALLEY Phantoms-VICTORIAVILLE Tigres-
97 - 2020-04-20967VICTORIAVILLE Tigres-WILKIES-BARRIE Penguins-
98 - 2020-04-21976VICTORIAVILLE Tigres-IOWA Wild-
99 - 2020-04-22985CORNWALL Aces-VICTORIAVILLE Tigres-
101 - 2020-04-241004COLORADO Eagles-VICTORIAVILLE Tigres-
104 - 2020-04-271025VICTORIAVILLE Tigres-COLORADO Eagles-
105 - 2020-04-281029SAN DIEGO Gulls-VICTORIAVILLE Tigres-
106 - 2020-04-291039VICTORIAVILLE Tigres-PROVIDENCE Bruins-
109 - 2020-05-021055SAN DIEGO Gulls-VICTORIAVILLE Tigres-



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
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
217,640$ 2,125,000$ 2,082,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 204,130$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 101 20,495$ 2,069,995$




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
3375100100241684300010014863210000010821124366001951003331141101090146453010921628.57%11190.91%021130569.18%10016062.50%548861.36%233187117357140
Total Saison Régulière75100100241684300010014863210000010821124366001951003331141101090146453010921628.57%11190.91%021130569.18%10016062.50%548861.36%233187117357140
Séries
327340000014140422000007703120000077061425390163502047958670170456010337616.22%20480.00%013124952.61%11621454.21%569757.73%164113167538743
Total Séries7340000014140422000007703120000077061425390163502047958670170456010337616.22%20480.00%013124952.61%11621454.21%569757.73%164113167538743