VICTORIAVILLE Tigres

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Ralph/Sam Beauchamp | Morale : 99 | Moyenne d'Équipe : 63
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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
1Daniel Sprong0X100.005843896471828163586162596865637397670233750,000$
2Troy Terry0X100.005839856770767369576863617265665497670223750,000$
3Carl Grundstrom0X100.006545886475847862576060636665637297670223750,000$
4Sam Steel0X100.005639856770797366837064616763647897670221900,000$
5Garrett Pilon0X100.005843826072889059685857615963626497660221750,000$
6Mason Appleton0X100.006243876079737762665958616067645697650244750,000$
7Trent Frederic0X100.006356796081757458715959616063657997650222925,000$
8Givani Smith0X100.006453816182747359525758605963627497650221750,000$
9Rem Pitlick (R)0X100.005449856072878958555659545865636499650234750,000$
10Brandon Gignac0X100.005542856166797759546058576165636497640221750,000$
11Lukas Jasek0X100.005443865855878959545757605865616397640231750,000$
12Maksim Sushko (R)0X100.005847855971858756525457535961636299640213750,000$
13Dean Kukan0X100.005641896379827261306552644973673697670271750,000$
14Kyle Capobianco0X100.006147846477797362306359615565626897660233750,000$
15Olli Juolevi0X100.006338896577807663306453624563628897660221900,000$
16Pierre-Olivier Joseph (R)0X100.006148855977858457305653584661638099650214750,000$
17Chad Krys (R)0X100.005441885658797854305353525063627499600224750,000$
18Samuel Morin0X100.006935755393645253305050655850508397590252750,000$
Rayé
1Chase Balisy (R)0XX100.0050896463685050637054545154505042995502800$
2Linus Olund (R)0X100.005089716271475062705454525450504497550233750,000$
3Travis Barron (R)0X100.005389645577505055505353515350504499540211750,000$
4Jonne Tammela0X100.005089715768445057705252515250504498530232750,000$
5Matt Hunwick0X100.0054358061717357613058537162715726976303500$
MOYENNE D'ÉQUIPE100.00585182617374726052585659586260629863
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 Dansk100.00767068827574767574767571757497680
Rayé
MOYENNE D'ÉQUIPE100.0076706882757476757476757175749768
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ross Yates62626262757548CAN622300,000$


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
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


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
Brandon GignacVICTORIAVILLE Tigres (VGK)LW2211/7/1997No77 Kg180 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Carl GrundstromVICTORIAVILLE Tigres (VGK)RW2212/1/1997No91 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Chad KrysVICTORIAVILLE Tigres (VGK)D224/10/1998Yes84 Kg155 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Chase BalisyVICTORIAVILLE Tigres (VGK)C/RW282/2/1992Yes81 Kg180 CMNoNoNo0Pro & Farm0$0$NoLien
Daniel SprongVICTORIAVILLE Tigres (VGK)RW233/17/1997No87 Kg180 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Dean KukanVICTORIAVILLE Tigres (VGK)D277/8/1993No87 Kg188 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Garrett PilonVICTORIAVILLE Tigres (VGK)C224/13/1998No85 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Givani SmithVICTORIAVILLE Tigres (VGK)LW222/27/1998No95 Kg188 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Jonne TammelaVICTORIAVILLE Tigres (VGK)C238/5/1997No85 Kg178 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Kyle CapobiancoVICTORIAVILLE Tigres (VGK)D238/13/1997No89 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Linus OlundVICTORIAVILLE Tigres (VGK)C236/5/1997Yes84 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Lukas JasekVICTORIAVILLE Tigres (VGK)RW238/28/1997No75 Kg155 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Maksim SushkoVICTORIAVILLE Tigres (VGK)RW212/10/1999Yes82 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Mason AppletonVICTORIAVILLE Tigres (VGK)RW241/15/1996No88 Kg188 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Matt HunwickVICTORIAVILLE Tigres (VGK)D355/21/1985No88 Kg180 CMNoNoNo0Pro & Farm0$0$NoLien
Olli JuoleviVICTORIAVILLE Tigres (VGK)D225/5/1998No83 Kg188 CMNoNoNo1Pro & Farm900,000$900,000$750,000$750,000$0$0$NoLien
Oscar DanskVICTORIAVILLE Tigres (VGK)G262/28/1994No89 Kg191 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Pierre-Olivier JosephVICTORIAVILLE Tigres (VGK)D217/1/1999Yes84 Kg188 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Rem PitlickVICTORIAVILLE Tigres (VGK)C234/2/1997Yes89 Kg180 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Sam SteelVICTORIAVILLE Tigres (VGK)C222/3/1998No86 Kg180 CMNoNoNo1Pro & Farm900,000$900,000$750,000$750,000$0$0$NoLien
Samuel MorinVICTORIAVILLE Tigres (VGK)D257/12/1995No92 Kg198 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Travis BarronVICTORIAVILLE Tigres (VGK)LW2111/17/1998Yes91 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Trent FredericVICTORIAVILLE Tigres (VGK)C222/11/1998No92 Kg188 CMNoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Troy TerryVICTORIAVILLE Tigres (VGK)RW229/10/1997No82 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2423.5086 Kg183 CM2.13707,292$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Troy Terry31122
226122
3Daniel Sprong23122
4Mason Appleton20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dean Kukan31122
2Kyle Capobianco26122
323122
4Samuel Morin20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Troy Terry55122
245122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dean Kukan55122
2Kyle Capobianco45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Troy Terry55122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dean Kukan55122
2Kyle Capobianco45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Dean Kukan55122
2Troy Terry45122Kyle Capobianco45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Troy Terry55122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dean Kukan55122
2Kyle Capobianco45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Troy TerryDean Kukan
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Troy TerryDean Kukan
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trent Frederic, Maksim Sushko, Trent Frederic, Maksim Sushko
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, Troy Terry, , ,
Gardien
#1 : Oscar Dansk, #2 :
Lignes d'Attaque Perso. en Prol.
, Troy Terry, , , , , , Daniel Sprong, , , Mason Appleton
Lignes de Défense Perso. en Prol.
Dean Kukan, , Kyle Capobianco, ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
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
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,697,500$ 1,667,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




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
3480333701423237277-4040162000310135144-940171701113102133-3179237426663228087675262284090186441237064862113662594015.44%2695978.07%01482265155.90%1100232147.39%653125552.03%200214531871544955482
3480333701423237277-4040162000310135144-940171701113102133-3179237426663228087675262284090186441237064862113662594015.44%2695978.07%01482265155.90%1100232147.39%653125552.03%200214531871544955482
Total Saison Régulière160667402846474554-8080324000620270288-1880343402226204266-621584748521326441601741341052441680180217288247401296124227325188015.44%53811878.07%02964530255.90%2200464247.39%1306251052.03%40052907374310881911965