HOLLYWOOD Oscar

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Dom Mailloux | Morale : 99 | Moyenne d'Équipe : 65
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Trevor Lewis0XXX100.0076438770787377667164626966827449997103331,500,000$
2Michael Mersch0X100.006953855983889058545759605875685799690271750,000$
3Jordan Nolan0XX100.0067498562877978605559596160797754996903131,000,000$
4Emile Poirier0X100.006449835880797856535555595871667899650253750,000$
5Ty Rattie0X100.006935766671776365606663606454517399650273750,000$
6Anthony Richard0X100.005541906063798159535860575967645799640233750,000$
7Taro Hirose (R)0X100.005639876465757163586459576367645299640243750,000$
8Hudson Elynuik (R)0X100.007051855588757753605254565365636499630223750,000$
9Cole Bardreau0XX100.005743875967716957545658555773685499620271750,000$
10Robin Kovacs (R)0X100.004635797665464953305047525354509599540233750,000$
11Logan Stanley0X100.008463765599858656305453624563628399680221875,000$
12Dillon Simpson0X100.006746835881889256305554574573675399670271750,000$
13Rinat Valiev0X100.007252855886838156305553594569656399660253750,000$
14Casey Fitzgerald (R)0X100.005444765859737256305553544865636199600233750,000$
15Luc Snuggerud0X100.005242735066505756304538605550504499520241750,000$
Rayé
1Ryan Haggerty0X100.0061518657748487565355585957736758996602700$
2Rhett Gardner0X100.006846896088717258665759625867645699660246925,000$
3Jaret Anderson-Dolan0X100.005843896570767463706158595961627499650203750,000$
4Carson Soucy (R)0X100.006443896591807164306363725371675499700264750,000$
5William Borgen0X100.006451865983857558305756605367646199660236875,000$
6Riley Stillman0X100.006448866077837259305857655063626499650223900,000$
7Stepan Falkovsky (R)0X100.0067427250935061533040366053505044995402300$
MOYENNE D'ÉQUIPE100.00644683607875745846565560556663619964
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
1Jonas Johansson (R)100.00796361937877797877797869736499700
2Kaapo Kahkonen (R)100.00797068837877797877797867715999690
3Reto Berra100.00746982887577757575737156654799670
Rayé
MOYENNE D'ÉQUIPE100.0077677088777778777677766470579969
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight74717474767670USA512400,000$


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
Anthony RichardHOLLYWOOD Oscar (LAK)C2312/20/1996No74 Kg178 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Carson SoucyHOLLYWOOD Oscar (LAK)D267/27/1994Yes95 Kg196 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Casey FitzgeraldHOLLYWOOD Oscar (LAK)D232/25/1997Yes85 Kg155 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Cole BardreauHOLLYWOOD Oscar (LAK)C/RW277/22/1993No84 Kg178 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Dillon SimpsonHOLLYWOOD Oscar (LAK)D272/10/1993No93 Kg188 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Emile PoirierHOLLYWOOD Oscar (LAK)LW2512/14/1994No89 Kg188 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Hudson ElynuikHOLLYWOOD Oscar (LAK)C2210/12/1997Yes88 Kg196 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Jaret Anderson-DolanHOLLYWOOD Oscar (LAK)C209/12/1999No85 Kg180 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Jonas JohanssonHOLLYWOOD Oscar (LAK)G249/19/1995Yes100 Kg196 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Jordan NolanHOLLYWOOD Oscar (LAK)C/RW316/23/1989No100 Kg191 CMNoNoNo3Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien
Kaapo KahkonenHOLLYWOOD Oscar (LAK)G248/16/1996Yes98 Kg188 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Logan StanleyHOLLYWOOD Oscar (LAK)D225/26/1998No104 Kg201 CMNoNoNo1Pro & Farm875,000$875,000$750,000$750,000$0$0$NoLien
Luc SnuggerudHOLLYWOOD Oscar (LAK)D249/18/1995No84 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Michael MerschHOLLYWOOD Oscar (LAK)LW2710/2/1992No97 Kg188 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Reto BerraHOLLYWOOD Oscar (LAK)G331/3/1987No99 Kg193 CMNoNoNo3Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien
Rhett GardnerHOLLYWOOD Oscar (LAK)C242/28/1996No102 Kg191 CMNoNoNo6Pro & Farm925,000$925,000$750,000$750,000$0$0$No925,000$925,000$925,000$925,000$925,000$Lien
Riley StillmanHOLLYWOOD Oscar (LAK)D223/9/1998No89 Kg185 CMNoNoNo3Pro & Farm900,000$900,000$750,000$750,000$0$0$No900,000$900,000$Lien
Rinat ValievHOLLYWOOD Oscar (LAK)D255/11/1995No98 Kg191 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Robin KovacsHOLLYWOOD Oscar (LAK)LW2311/16/1996Yes80 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Ryan HaggertyHOLLYWOOD Oscar (LAK)RW273/4/1993No91 Kg183 CMNoNoNo0Pro & Farm0$0$NoLien
Stepan FalkovskyHOLLYWOOD Oscar (LAK)D2312/18/1996Yes102 Kg201 CMNoNoNo0Pro & Farm0$0$NoLien
Taro HiroseHOLLYWOOD Oscar (LAK)LW246/30/1996Yes74 Kg178 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Trevor LewisHOLLYWOOD Oscar (LAK)C/LW/RW331/8/1987No92 Kg185 CMNoNoNo3Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$No1,500,000$1,500,000$Lien
Ty RattieHOLLYWOOD Oscar (LAK)RW272/5/1993No83 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
William BorgenHOLLYWOOD Oscar (LAK)D2312/19/1996No90 Kg191 CMNoNoNo6Pro & Farm875,000$875,000$750,000$750,000$0$0$No875,000$875,000$875,000$875,000$875,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2525.1691 Kg185 CM2.64763,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael Mersch31122
2Emile PoirierTy Rattie26122
3Robin KovacsAnthony RichardCole Bardreau23122
4Michael MerschHudson Elynuik20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dillon Simpson31122
2Rinat Valiev26122
3Casey Fitzgerald23122
4Luc Snuggerud20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael Mersch55122
2Emile PoirierTy Rattie45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dillon Simpson55122
2Rinat Valiev45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael Mersch55122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dillon Simpson55122
2Rinat Valiev45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Michael Mersch55122Dillon Simpson55122
245122Rinat Valiev45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael Mersch55122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dillon Simpson55122
2Rinat Valiev45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael MerschDillon Simpson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael MerschDillon Simpson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anthony Richard, Hudson Elynuik, Cole BardreauAnthony Richard, Hudson ElynuikCole Bardreau
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Casey Fitzgerald, Casey Fitzgerald,
Tirs de Pénalité
Michael Mersch, , , , Emile Poirier
Gardien
#1 : Jonas Johansson, #2 : Kaapo Kahkonen
Lignes d'Attaque Perso. en Prol.
Michael Mersch, , , , Emile Poirier, Ty Rattie, Ty Rattie, Anthony Richard, Hudson Elynuik, Cole Bardreau, Robin Kovacs
Lignes de Défense Perso. en Prol.
, Dillon Simpson, Rinat Valiev, ,


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$ 1,907,500$ 1,850,000$ 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
3480332506565225181444019120322212088324014130334310593121002254056301783805018263883088986498223068379715502714315.87%3605485.00%51611277758.01%1416266453.15%606112154.06%1965137219035851002499
3480332506565225181444019120322212088324014130334310593121002254056301783805018263883088986498223068379715502714315.87%3605485.00%51611277758.01%1416266453.15%606112154.06%1965137219035851002499
Total Saison Régulière16066500121012104503628880382406444240176648028260668621018624200450810126021416616010036527616601778172819644601366159431005428615.87%72010885.00%103222555458.01%2832532853.15%1212224254.06%39302745380711712005999
Séries
34188100000051501927000002226-4963000002924516518713800141421255917216320717575178128340511223.53%601181.67%027858347.68%30464946.84%12428243.97%426304470136233111
Total Séries188100000051501927000002226-4963000002924516518713800141421255917216320717575178128340511223.53%601181.67%027858347.68%30464946.84%12428243.97%426304470136233111