HOLLYWOOD Oscar

GP: 2 | W: 0 | L: 2 | OTL: 0 | P: 0
GF: 5 | GA: 16 | PP%: 0.00% | PK%: 0.00%
DG: Dom Mailloux | Morale : 98 | Moyenne d'Équipe : 57
Prochain matchs #37 vs UTICA Comets
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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
1Ty Rattie0X100.006935766671776365606663606454517396650
2Michael Mersch0X100.005889647083505070506464506451505197610
3Ryan Haggerty (R)0X100.005189637074505070506464526450504299600
4Jaret Anderson-Dolan (R)0X100.006235775570785255666060605850507699600
5Anthony Richard0X100.005035677063505070706464506450506199590
6Rhett Gardner (R)0X100.005989726385485063705959505950504499580
7Cole Bardreau0XX100.005089646369505063705757515750504299560
8Emile Poirier0X100.005489696280505062505454505450507999560
9Robin Kovacs (R)0X100.004635797665464953305047525354509599540
10Logan Stanley (R)0X100.007089576399505063304843505350504495570
11Rinat Valiev0X100.006189626586465065304843545350506599560
12Dillon Simpson0X100.005689695981495059304742505250506099540
13Stepan Falkovsky (R)0X100.006742725093506153304036605350504499540
14Riley Stillman (R)0X100.005335616377465063314843525350506099540
15William Borgen (R)0X100.005835625883475258304742535250506299540
16Luc Snuggerud0X100.005242735066505756304538605550504499520
Rayé
MOYENNE D'ÉQUIPE100.00576368637852526245545153575150599857
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
1Reto Berra100.00746982887577757575737156654799670
Rayé
MOYENNE D'ÉQUIPE100.0074698288757775757573715665479967
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight80748081747474USA502780,000$


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
1Ty RattieHOLLYWOOD Oscar (SEA)RW220210053134815.38%42412.0200000000000050.00%200001.6600000000
Stats d'équipe Total ou en Moyenne220210053134815.38%42412.0200000000000050.00%200001.6600000000
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'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 (SEA)C221996-12-20No74 Kg178 CMNoNoNo5Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$750,000$750,000$Lien
Cole BardreauHOLLYWOOD Oscar (SEA)C/RW261993-07-22No88 Kg178 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Dillon SimpsonHOLLYWOOD Oscar (SEA)D261993-02-10No93 Kg188 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Emile PoirierHOLLYWOOD Oscar (SEA)LW241994-12-14No89 Kg188 CMNoNoNo5Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$750,000$750,000$Lien
Jaret Anderson-DolanHOLLYWOOD Oscar (SEA)C191999-09-12Yes85 Kg180 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Logan StanleyHOLLYWOOD Oscar (SEA)D211998-05-26Yes104 Kg201 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Luc SnuggerudHOLLYWOOD Oscar (SEA)D231995-09-18No84 Kg183 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Michael MerschHOLLYWOOD Oscar (SEA)LW261992-10-02No97 Kg188 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Reto BerraHOLLYWOOD Oscar (SEA)G321987-01-03No99 Kg193 CMNoNoNo5Pro & Farm1,000,000$981,981$1,000,000$981,981$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$Lien
Rhett GardnerHOLLYWOOD Oscar (SEA)C231996-02-28Yes95 Kg191 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Riley StillmanHOLLYWOOD Oscar (SEA)D211998-03-09Yes89 Kg185 CMNoNoNo2Pro & Farm750,000$736,486$325,000$319,144$0$0$No750,000$Lien
Rinat ValievHOLLYWOOD Oscar (SEA)D241995-05-11No98 Kg191 CMNoNoNo5Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$750,000$750,000$Lien
Robin KovacsHOLLYWOOD Oscar (SEA)LW221996-11-16Yes80 Kg183 CMNoNoNo5Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$750,000$750,000$
Ryan HaggertyHOLLYWOOD Oscar (SEA)RW261993-03-04Yes91 Kg183 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Stepan FalkovskyHOLLYWOOD Oscar (SEA)D221996-12-18Yes102 Kg201 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Ty RattieHOLLYWOOD Oscar (SEA)RW261993-02-05No83 Kg183 CMNoNoNo5Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$750,000$750,000$Lien
William BorgenHOLLYWOOD Oscar (SEA)D221996-12-19Yes89 Kg191 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1723.8290 Kg188 CM3.29764,706$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
131122
226122
323122
4Ty Rattie20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
131122
226122
323122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
245122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
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
245122
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
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , , , , , , , , Ty Rattie,
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
1Manitoba Moose10100000010-1010100000010-100000000000000.00000000401023273221011822012000.00%000.00%0224746.81%226036.67%183847.37%301965122411
Total20200000516-1110100000010-101010000056-100.000591400401080273221016935034000.00%000.00%0224746.81%226036.67%183847.37%301965122411
3WILKIES-BARRIE Penguins1010000056-1000000000001010000056-100.00059140040105727322105113022000.00%000.00%0224746.81%226036.67%183847.37%301965122411
_Since Last GM Reset20200000516-1110100000010-101010000056-100.000591400401080273221016935034000.00%000.00%0224746.81%226036.67%183847.37%301965122411
_Vs Conference20200000516-1110100000010-101010000056-100.000591400401080273221016935034000.00%000.00%0224746.81%226036.67%183847.37%301965122411

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
20L25914801693503400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2020000516
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1010000010
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
101000056
Derniers 10 Matchs
WLOTWOTL SOWSOL
020000
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
27322104010
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
224746.81%226036.67%183847.37%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
301965122411


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 - 2020-01-158Manitoba Moose10HOLLYWOOD Oscar0LSommaire du Match
2 - 2020-01-1624HOLLYWOOD Oscar5WILKIES-BARRIE Penguins6LSommaire du Match
3 - 2020-01-1737HOLLYWOOD Oscar-UTICA Comets-
4 - 2020-01-1841CORNWALL Aces-HOLLYWOOD Oscar-
5 - 2020-01-1953HOLLYWOOD Oscar-Syracruse Crunch-
7 - 2020-01-2166HOLLYWOOD Oscar-Manitoba Moose-
9 - 2020-01-2381Manitoba Moose-HOLLYWOOD Oscar-
11 - 2020-01-2599VICTORIAVILLE Tigres-HOLLYWOOD Oscar-
13 - 2020-01-27106HOLLYWOOD Oscar-IOWA Wild-
15 - 2020-01-29119WILKIES-BARRIE Penguins-HOLLYWOOD Oscar-
17 - 2020-01-31134MONT-LAURIER Sommet-HOLLYWOOD Oscar-
20 - 2020-02-03157PV Sharapovas-HOLLYWOOD Oscar-
21 - 2020-02-04167HOLLYWOOD Oscar-VICTORIAVILLE Tigres-
22 - 2020-02-05172HOLLYWOOD Oscar-STOCKTON Flames-
23 - 2020-02-06187COLORADO Eagles-HOLLYWOOD Oscar-
25 - 2020-02-08201HOLLYWOOD Oscar-UTICA Comets-
26 - 2020-02-09211HOLLYWOOD Oscar-BELLEVILLE Senators-
27 - 2020-02-10223Binghampton Devils-HOLLYWOOD Oscar-
28 - 2020-02-11239HOLLYWOOD Oscar-Manitoba Moose-
29 - 2020-02-12246HOLLYWOOD Oscar-BRIDGEPORT Sound Tigers-
30 - 2020-02-13256IOWA Wild-HOLLYWOOD Oscar-
32 - 2020-02-15275BRIDGEPORT Sound Tigers-HOLLYWOOD Oscar-
33 - 2020-02-16286HOLLYWOOD Oscar-PV Sharapovas-
34 - 2020-02-17298HOLLYWOOD Oscar-WILKIES-BARRIE Penguins-
35 - 2020-02-18308ROCKFORD IceHogs-HOLLYWOOD Oscar-
37 - 2020-02-20327Binghampton Devils-HOLLYWOOD Oscar-
38 - 2020-02-21344HOLLYWOOD Oscar-PV Sharapovas-
39 - 2020-02-22353STOCKTON Flames-HOLLYWOOD Oscar-
41 - 2020-02-24368HOLLYWOOD Oscar-HERSEY Bears-
42 - 2020-02-25382SAN DIEGO Gulls-HOLLYWOOD Oscar-
43 - 2020-02-26388HOLLYWOOD Oscar-MILWAUKEE Admirals-
44 - 2020-02-27404UTICA Comets-HOLLYWOOD Oscar-
45 - 2020-02-28419STOCKTON Flames-HOLLYWOOD Oscar-
46 - 2020-02-29432HOLLYWOOD Oscar-STOCKTON Flames-
47 - 2020-03-01436HOLLYWOOD Oscar-BELLEVILLE Senators-
49 - 2020-03-03450HOLLYWOOD Oscar-CORNWALL Aces-
50 - 2020-03-04464Marlies de Toronto-HOLLYWOOD Oscar-
52 - 2020-03-06483HOLLYWOOD Oscar-COLORADO Eagles-
53 - 2020-03-07490LEHIGH VALLEY Phantoms-HOLLYWOOD Oscar-
54 - 2020-03-08501HOLLYWOOD Oscar-CHICAGO Wolves-
56 - 2020-03-10516IOWA Wild-HOLLYWOOD Oscar-
58 - 2020-03-12536CHICAGO Wolves-HOLLYWOOD Oscar-
59 - 2020-03-13540HOLLYWOOD Oscar-ROCKFORD IceHogs-
60 - 2020-03-14559HOLLYWOOD Oscar-BROOKLYN Wolfpack-
61 - 2020-03-15569WILKIES-BARRIE Penguins-HOLLYWOOD Oscar-
62 - 2020-03-16579HOLLYWOOD Oscar-IOWA Wild-
63 - 2020-03-17592VICTORIAVILLE Tigres-HOLLYWOOD Oscar-
64 - 2020-03-18608HOLLYWOOD Oscar-CORNWALL Aces-
65 - 2020-03-19618LEHIGH VALLEY Phantoms-HOLLYWOOD Oscar-
67 - 2020-03-21630HOLLYWOOD Oscar-SAN DIEGO Gulls-
68 - 2020-03-22644MILWAUKEE Admirals-HOLLYWOOD Oscar-
69 - 2020-03-23659HOLLYWOOD Oscar-IOWA Wild-
70 - 2020-03-24671Syracruse Crunch-HOLLYWOOD Oscar-
72 - 2020-03-26689LAVAL Rockets-HOLLYWOOD Oscar-
73 - 2020-03-27700HOLLYWOOD Oscar-LEHIGH VALLEY Phantoms-
74 - 2020-03-28713Syracruse Crunch-HOLLYWOOD Oscar-
75 - 2020-03-29720HOLLYWOOD Oscar-VICTORIAVILLE Tigres-
76 - 2020-03-30738HOLLYWOOD Oscar-Marlies de Toronto-
77 - 2020-03-31751Manitoba Moose-HOLLYWOOD Oscar-
79 - 2020-04-02767HERSEY Bears-HOLLYWOOD Oscar-
80 - 2020-04-03778HOLLYWOOD Oscar-Binghampton Devils-
81 - 2020-04-04794Marlies de Toronto-HOLLYWOOD Oscar-
82 - 2020-04-05801HOLLYWOOD Oscar-Binghampton Devils-
83 - 2020-04-06814HOLLYWOOD Oscar-LEHIGH VALLEY Phantoms-
85 - 2020-04-08828COLORADO Eagles-HOLLYWOOD Oscar-
86 - 2020-04-09844MONT-LAURIER Sommet-HOLLYWOOD Oscar-
87 - 2020-04-10855HOLLYWOOD Oscar-TUSCON Roadrunners-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
89 - 2020-04-12872HOLLYWOOD Oscar-UTICA Comets-
90 - 2020-04-13881PV Sharapovas-HOLLYWOOD Oscar-
91 - 2020-04-14899HOLLYWOOD Oscar-Syracruse Crunch-
92 - 2020-04-15907BROOKLYN Wolfpack-HOLLYWOOD Oscar-
94 - 2020-04-17929TUSCON Roadrunners-HOLLYWOOD Oscar-
95 - 2020-04-18944PROVIDENCE Bruins-HOLLYWOOD Oscar-
96 - 2020-04-19956HOLLYWOOD Oscar-PROVIDENCE Bruins-
97 - 2020-04-20963HOLLYWOOD Oscar-MONT-LAURIER Sommet-
99 - 2020-04-22979PROVIDENCE Bruins-HOLLYWOOD Oscar-
100 - 2020-04-23990HOLLYWOOD Oscar-MONT-LAURIER Sommet-
101 - 2020-04-241005CORNWALL Aces-HOLLYWOOD Oscar-
105 - 2020-04-281026BELLEVILLE Senators-HOLLYWOOD Oscar-
106 - 2020-04-291038HOLLYWOOD Oscar-Syracruse Crunch-
108 - 2020-05-011051BELLEVILLE Senators-HOLLYWOOD Oscar-
109 - 2020-05-021057HOLLYWOOD Oscar-LAVAL Rockets-



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
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
37,478$ 1,300,000$ 1,257,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 23,424$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 109 18,739$ 2,042,551$




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
3320200000516-1110100000010-101010000056-10591400401080273221016935034000.00%000.00%0224746.81%226036.67%183847.37%301965122411
Total Saison Régulière20200000516-1110100000010-101010000056-10591400401080273221016935034000.00%000.00%0224746.81%226036.67%183847.37%301965122411