Victoriaville Tigres

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Marc-Andre Gregoire | Morale : 1 | Moyenne d'Équipe : 58
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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
1Chase De LeoX100.007365936265808466806562675954546757630
2Rudolfs BalcersX100.006541906561628967297066622547476745610
3Greg McKeggXX100.006942937170579058786063612560616750610
4Paul BittnerX100.008280876580666862506257685444446350600
5Kevin Stenlund (R)XX100.008480926580697357714862675944446458590
6Austin WagnerX100.008845916266537859346166562559596753590
7Brett Seney (R)XX100.007354827757575857586359642549496329580
8Blake SpeersXX100.007267838267657050634646624455555653570
9Nic PetanXXX100.005740967962486262456057512556565932570
10Tyler Steenbergen (R)XXX100.007466916366707554685054625144445956560
11Maximilian Kammerer (R)X100.007363956663586054685647614544445656550
12Kole Lind (R)X100.007366896266687351505146604444445526540
13Devon ToewsX100.006542978068756876256150567558586255620
14Mario Ferraro (R)X100.006553747268758056255141682544447077610
15Alexandre CarrierX100.006963826863829054255041623955555646610
16Dillon SimpsonX100.007872936872758348253940643853535446600
17Tucker PoolmanX100.007973927573555556255446654345465826590
18Tim HeedX100.006341917368655866255847562547476020580
Rayé
1Chris TerryX100.007469857169798268506367686454546825640
2Taylor LeierX100.007166826966676961505562625944446320580
3Scott KosmachukX100.006967756067737856504959605644446020560
4Stefan MatteauX100.007581606481717750504746634450505520550
5Igor Shvyrev (R)X100.007671866071636750634648624644445544540
6Griffin ReinhartX100.008280886480758348253741673955565520610
7Keaton Middleton (R)X100.008388706188717847253642644044445344590
8Jalen ChatfieldX100.007469866569606447253839613748485119550
MOYENNE D'ÉQUIPE100.00736386686967745745535262434950604059
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
1Michael Garteig (R)100.00594860736359576361603044445950580
2Stuart Skinner (R)100.00496176814448505546473044445051530
Rayé
1Callum Booth (R)100.00485366764648505448483044444920510
MOYENNE D'ÉQUIPE100.0052546777515252575252304444534054
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Aaron Schneekloth59455955473550CAN41160,000$


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 Cap 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
Alexandre CarrierVictoriaville Tigres (MIW)D211996-10-08No174 Lbs5 ft11NoNoNo1Pro & Farm688,333$0$0$NoLien
Austin WagnerVictoriaville Tigres (MIW)LW211997-06-23No178 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien
Blake SpeersVictoriaville Tigres (MIW)C/RW211997-01-02No185 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien
Brett SeneyVictoriaville Tigres (MIW)C/LW221996-02-28Yes156 Lbs5 ft9NoNoNo2Pro & Farm757,500$0$0$No757,500$Lien
Callum BoothVictoriaville Tigres (MIW)G211997-05-21Yes187 Lbs6 ft3NoNoNo2Pro & Farm741,667$0$0$No741,667$Lien
Chase De LeoVictoriaville Tigres (MIW)C221995-10-25No185 Lbs5 ft9NoNoNo1Pro & Farm750,000$0$0$NoLien
Chris TerryVictoriaville Tigres (MIW)LW291989-04-07No195 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Devon ToewsVictoriaville Tigres (MIW)D241994-02-20No181 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Dillon SimpsonVictoriaville Tigres (MIW)D251993-02-09No194 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien
Greg McKeggVictoriaville Tigres (MIW)C/LW261992-06-17No191 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien
Griffin ReinhartVictoriaville Tigres (MIW)D241994-01-24No212 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien
Igor ShvyrevVictoriaville Tigres (MIW)C191998-07-10Yes192 Lbs6 ft1NoNoNo3Pro & Farm775,833$0$0$No775,833$775,833$Lien
Jalen ChatfieldVictoriaville Tigres (MIW)D221996-05-16No188 Lbs6 ft1NoNoNo2Pro & Farm765,000$0$0$No765,000$Lien
Keaton MiddletonVictoriaville Tigres (MIW)D201998-02-10Yes233 Lbs6 ft6NoNoNo1Pro & Farm575,000$0$0$NoLien
Kevin StenlundVictoriaville Tigres (MIW)C/RW211996-09-20Yes210 Lbs6 ft4NoNoNo2Pro & Farm864,166$0$0$No864,166$Lien
Kole LindVictoriaville Tigres (MIW)RW191998-10-16Yes178 Lbs6 ft1NoNoNo3Pro & Farm891,666$0$0$No891,666$891,666$Lien
Mario FerraroVictoriaville Tigres (MIW)D191998-09-17 06:29:33Yes185 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Maximilian KammererVictoriaville Tigres (MIW)C211996-10-28Yes165 Lbs6 ft1NoNoNo3Pro & Farm870,000$0$0$No870,000$870,000$Lien
Michael GarteigVictoriaville Tigres (MIW)G261991-11-04Yes190 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$NoLien
Nic PetanVictoriaville Tigres (MIW)C/LW/RW231995-03-21No179 Lbs5 ft9NoNoNo1Pro & Farm775,000$0$0$NoLien
Paul BittnerVictoriaville Tigres (MIW)LW211996-11-03No214 Lbs6 ft4NoNoNo1Pro & Farm747,500$0$0$NoLien
Rudolfs BalcersVictoriaville Tigres (MIW)LW211997-04-08No165 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Scott KosmachukVictoriaville Tigres (MIW)RW241994-01-23No185 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien
Stefan MatteauVictoriaville Tigres (MIW)LW241994-02-23No220 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
Stuart SkinnerVictoriaville Tigres (MIW)G191998-11-01Yes203 Lbs6 ft3NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Lien
Taylor LeierVictoriaville Tigres (MIW)LW241994-02-14No180 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien
Tim HeedVictoriaville Tigres (MIW)D271991-01-27No185 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Tucker PoolmanVictoriaville Tigres (MIW)D251993-06-08No199 Lbs6 ft2NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$Lien
Tyler SteenbergenVictoriaville Tigres (MIW)C/LW/RW201998-01-07Yes187 Lbs5 ft10NoNoNo3Pro & Farm770,833$0$0$No770,833$770,833$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2922.45190 Lbs6 ft11.55678,362$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rudolfs BalcersGreg McKeggKevin Stenlund40122
2Paul BittnerBrett SeneyNic Petan30122
3Austin WagnerBlake SpeersTyler Steenbergen20122
4Rudolfs BalcersMaximilian KammererKole Lind10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon Toews40122
2Mario FerraroDillon Simpson30122
3Alexandre CarrierTucker Poolman20122
4Devon Toews10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rudolfs BalcersGreg McKeggKevin Stenlund60122
2Paul BittnerBrett SeneyNic Petan40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon Toews60122
2Mario FerraroDillon Simpson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Rudolfs BalcersGreg McKegg60122
2Paul BittnerKevin Stenlund40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon Toews60122
2Mario FerraroDillon Simpson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Rudolfs Balcers60122Devon Toews60122
2Greg McKegg40122Mario FerraroDillon Simpson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Rudolfs BalcersGreg McKegg60122
2Paul BittnerKevin Stenlund40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon Toews60122
2Mario FerraroDillon Simpson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rudolfs BalcersGreg McKeggKevin StenlundDevon Toews
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rudolfs BalcersGreg McKeggKevin StenlundDevon Toews
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Austin Wagner, Blake Speers, Tyler SteenbergenAustin Wagner, Blake SpeersTyler Steenbergen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alexandre Carrier, Tucker Poolman, Mario FerraroAlexandre CarrierTucker Poolman, Mario Ferraro
Tirs de Pénalité
Rudolfs Balcers, Greg McKegg, Paul Bittner, Kevin Stenlund, Austin Wagner
Gardien
#1 : Michael Garteig, #2 : Stuart Skinner


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$ 1,967,250$ 1,719,750$ 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
2016824130062034343676741191404202211190214122160200122317746824347101144111151771367317110051165978343005105084519922217734.84%2288761.84%3894182449.01%875186746.87%759153049.61%1775100016277511546773
201782264004453373418-4541112301312174212-3841151703141199206-7523736079802085145134193357981121911326030381031128518372117636.02%2189158.26%61036195952.88%686142848.04%772150851.19%1852108516087331513756
201882333606304400398241141904202208204441191702102192194-26640066010601110614214673181102710301091462934101586215822348837.61%1919351.31%4909178350.98%748154948.29%757151549.97%174198416417581568790
201982263902825391463-7241111902612186236-5041152000213205227-225239164010311195155137631489861117101255300191496815892339540.77%1806464.44%4936179352.20%726143950.45%855160853.17%174598316627551567783
Total Saison Régulière3281261450181771515981646-4816455750111328779842-63164717007457819804152521598261742155340161955339128573999453142131951197840103960700089933637.37%81733559.00%173775735951.30%3035628348.30%3143616151.01%711540536540299861953103