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 : 64
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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
1Peter Cehlarik0X100.006338896381797564576261636469656375680
2Anton Slepyshev0X100.007041827282766866306565627054526246670
3Daniel Sprong0X100.005843896471828163586162596865637370670
4Dylan Gambrell0X100.005943876571797763756260646367656675670
5Troy Terry0X100.005839856770767369576863617265665475670
6Carl Grundstrom0X100.006545886475847862576060636665637275670
7Sam Steel0X100.005639856770797366837064616763647875670
8Shawn Matthias0XX100.006341827189774460306261696572615871660
9Garrett Pilon0X100.005843826072889059685857615963626476660
10Mason Appleton0X100.006243876079737762665958616067645676650
11Trent Frederic0X100.006356796081757458715959616063657975650
12Givani Smith0X100.006453816182747359525758605963627467650
13Robbie Russo0X100.005948876173878962306053564873675353670
14Kyle Capobianco0X100.006147846477797362306359615565626875660
15Olli Juolevi0X100.006338896577807663306453624563628827660
16Matt Hunwick0X100.005435806171735761305853716271572618630
17Dalton Prout0X100.006935756086696060305456696460534033630
Rayé
1Brandon Gignac0X100.005542856166797759546058576165636475640
2Lukas Jasek0X100.005443865855878959545757605865616359640
3Chase Balisy (R)0XX100.005089646368505063705454515450504221550
4Linus Olund (R)0X100.005089716271475062705454525450504421550
5Travis Barron (R)0X100.005389645577505055505353515350504421540
6Jonne Tammela0X100.005089715768445057705252515250504421530
7Brian Lashoff0X100.006647885986817258305756615278684672660
8Samuel Morin0X100.006935755393645253305050655850508376590
MOYENNE D'ÉQUIPE100.00605081627673696151595760606360605764
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 Dansk100.00767068827574767574767571757477680
Rayé
MOYENNE D'ÉQUIPE100.0076706882757476757476757175747768
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ross Yates62626262757548CAN613300,000$


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
Anton SlepyshevVICTORIAVILLE Tigres (VGK)LW251994-05-13No100 Kg188 CMNoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Brandon GignacVICTORIAVILLE Tigres (VGK)LW211997-11-07No77 Kg180 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Brian LashoffVICTORIAVILLE Tigres (VGK)D291990-07-16No97 Kg191 CMNoNoNo2Pro & Farm650,000$650,000$650,000$650,000$0$0$No650,000$Lien
Carl GrundstromVICTORIAVILLE Tigres (VGK)RW211997-12-01No91 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Chase BalisyVICTORIAVILLE Tigres (VGK)C/RW271992-02-02Yes81 Kg180 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Dalton ProutVICTORIAVILLE Tigres (VGK)D291990-03-13No98 Kg191 CMNoNoNo2Pro & Farm2,250,000$2,250,000$2,250,000$2,250,000$0$0$No2,250,000$Lien
Daniel SprongVICTORIAVILLE Tigres (VGK)RW221997-03-17No87 Kg180 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Dylan GambrellVICTORIAVILLE Tigres (VGK)C231996-08-26No84 Kg183 CMNoNoNo6Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Garrett PilonVICTORIAVILLE Tigres (VGK)C211998-04-13No85 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Givani SmithVICTORIAVILLE Tigres (VGK)LW211998-02-27No95 Kg188 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Jonne TammelaVICTORIAVILLE Tigres (VGK)C221997-08-05No85 Kg178 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Kyle CapobiancoVICTORIAVILLE Tigres (VGK)D221997-08-13No89 Kg185 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Linus OlundVICTORIAVILLE Tigres (VGK)C221997-06-05Yes84 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Lukas JasekVICTORIAVILLE Tigres (VGK)RW221997-08-28No75 Kg155 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Mason AppletonVICTORIAVILLE Tigres (VGK)RW231996-01-15No88 Kg188 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Matt HunwickVICTORIAVILLE Tigres (VGK)D341985-05-21No88 Kg180 CMNoNoNo1Pro & Farm2,250,000$2,250,000$2,250,000$2,250,000$0$0$NoLien
Olli JuoleviVICTORIAVILLE Tigres (VGK)D211998-05-05No83 Kg188 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Oscar DanskVICTORIAVILLE Tigres (VGK)G251994-02-28No89 Kg191 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Peter CehlarikVICTORIAVILLE Tigres (VGK)LW241995-08-02No92 Kg188 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Robbie RussoVICTORIAVILLE Tigres (VGK)D261993-02-15No87 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Sam SteelVICTORIAVILLE Tigres (VGK)C211998-02-03No86 Kg180 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Samuel MorinVICTORIAVILLE Tigres (VGK)D241995-07-12No92 Kg198 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Shawn MatthiasVICTORIAVILLE Tigres (VGK)C/LW311988-02-19No105 Kg193 CMNoNoNo2Pro & Farm2,250,000$2,250,000$2,250,000$2,250,000$0$0$No2,250,000$Lien
Travis BarronVICTORIAVILLE Tigres (VGK)LW201998-11-17Yes91 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$325,000$325,000$0$0$NoLien
Trent FredericVICTORIAVILLE Tigres (VGK)C211998-02-11No92 Kg188 CMNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Troy TerryVICTORIAVILLE Tigres (VGK)RW211997-09-10No82 Kg183 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2623.7789 Kg185 CM2.27935,577$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
131122
2Sam Steel26122
3Trent FredericMason Appleton23122
4Carl Grundstrom20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
131122
226122
323122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
2Sam Steel45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Mason Appleton45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Mason Appleton45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Garrett Pilon, , Carl GrundstromGarrett Pilon, Carl Grundstrom
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , Mason Appleton, Sam Steel
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , , Mason Appleton, Sam Steel, Carl Grundstrom, Carl Grundstrom, , Trent Frederic, ,
Lignes de Défense Perso. en Prol.
, , , ,


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,432,500$ 2,390,000$ 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
33823634046204053159041181601510207156514118180311019815939724056881093013210111787430214411405144518209760435712832423012.40%1534272.55%01926300764.05%923174852.80%859139761.49%249819941598444856462
Total Saison Régulière823634046204053159041181601510207156514118180311019815939724056881093013210111787430214411405144518209760435712832423012.40%1534272.55%01926300764.05%923174852.80%859139761.49%249819941598444856462
Séries
3340400000832-2420200000517-1220200000315-12081422000530111404130014749368528414.29%17758.82%07514252.82%308037.50%337444.59%8559108274522
Total Séries40400000832-2420200000517-1220200000315-12081422000530111404130014749368528414.29%17758.82%07514252.82%308037.50%337444.59%8559108274522