Admirals

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Louis-Philippe Fraser | Morale : 50 | Moyenne d'Équipe : N/A
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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
1Chris WagnerXXX100.00947680777362895955565982636667674700
2Dmitry SokolovXX100.00837893627866685850476567624444645000
3Danton HeinenXX100.00654294806967897336696861256466704700
4Josh AndersonX100.00917081808373786938615673256465674700
5Yakov Trenin (R)X100.00877787637654816156655966254545645000
6Justin KirklandX100.00727077617075805750614862464545585000
7Kieffer BellowsX100.00727174697177825950476762644444645000
8Klim KostinXXX100.00727467707473766278586263594545645000
9Joel Kellman (R)X100.00734395776959685874615974254646654700
10Frank VatranoXX100.00804487847069926835717466456666744700
11Joseph BlandisiXX100.00774385736651745653625971255858655000
12Tanner KeroX100.00746887626871746379645666535151635000
13Joseph Veleno (R)X100.00767189727170745670505863554444615000
14Eeli Tolvanen (R)XX100.00756890676876806050526364604444655000
15Adam PelechX100.00864684728182756125554897256162674400
16Anthony BitettoX100.00937082707866625725524776756465625000
17Mario Ferraro (R)X100.00854485806768686125514871255151615000
18Xavier OuelletX100.00854589746963765725524768256162605000
19Erik GustafssonX100.00785387836680908025665061756465664700
Rayé
1Adam MascherinX100.00757380617366705350515162484444575000
2Ty RonningX100.00696189626155574750444557434444525000
3Eetu Tuulola (R)X100.00838286658269725850535867554444625000
4Jack DoughertyX100.00736983636969754825394161394949535000
5Jake BeanX100.00736983676978836225595163484444625000
6Kale ClagueX100.00716584716567705725485161484444595000
7Maxime Lajoie (R)X100.00736885776869745125444162395151555000
8Teemu Kivihalme (R)X100.00736786666769755025434160394444535000
MOYENNE D'ÉQUIPE100.0078638571716876594355556745525262490
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
1Hunter Miska100.0063567063676758676664304444634700
2Calvin Petersen100.0059779670566450615756304444594700
Rayé
MOYENNE D'ÉQUIPE100.006167836762665464626030444461470
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes83808081666281USA4731,356,000$


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
Adam MascherinAdmirals (NAS)LW221998-06-05No206 Lbs5 ft11NoNoNo2Pro & Farm880,000$88,000$450,000$45,000$0$0$No880,000$Lien
Adam PelechAdmirals (NAS)D251994-08-16No217 Lbs6 ft4NoNoNo4Pro & Farm1,600,000$160,000$1,600,000$160,000$0$0$No1,600,000$1,600,000$1,600,000$Lien
Anthony BitettoAdmirals (NAS)D291990-07-14No210 Lbs6 ft1NoNoNo1Pro & Farm621,500$62,150$621,500$62,150$0$0$NoLien
Calvin PetersenAdmirals (NAS)G251994-10-19No185 Lbs6 ft1NoNoNo3Pro & Farm1,108,333$110,833$858,333$85,833$0$0$No858,333$858,333$Lien
Chris WagnerAdmirals (NAS)C/LW/RW291991-05-27No198 Lbs6 ft0NoNoNo2Pro & Farm1,600,000$160,000$1,350,000$135,000$0$0$No1,350,000$Lien
Danton HeinenAdmirals (NAS)LW/RW241995-07-05No185 Lbs6 ft1NoNoNo2Pro & Farm995,833$99,583$995,833$99,583$0$0$No995,833$Lien
Dmitry SokolovAdmirals (NAS)LW/RW221998-04-13No221 Lbs5 ft11NoNoNo2Pro & Farm830,000$83,000$450,000$45,000$0$0$No830,000$Lien
Eeli TolvanenAdmirals (NAS)LW/RW211999-04-22Yes191 Lbs5 ft10NoNoNo3Pro & Farm3,115,000$311,500$3,115,000$311,500$0$0$No3,115,000$3,115,000$
Eetu TuulolaAdmirals (NAS)RW221998-03-17Yes225 Lbs6 ft2NoNoNo3Pro & Farm925,000$92,500$925,000$92,500$0$0$No925,000$925,000$
Erik GustafssonAdmirals (NAS)D281992-03-14No176 Lbs6 ft0NoNoNo1Pro & Farm650,000$65,000$650,000$65,000$0$0$NoLien
Frank VatranoAdmirals (NAS)LW/RW261994-03-14No201 Lbs5 ft9NoNoNo1Pro & Farm925,000$92,500$925,000$92,500$0$0$NoLien
Hunter MiskaAdmirals (NAS)G241995-07-06No170 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$100,000$1,000,000$100,000$0$0$NoLien
Jack DoughertyAdmirals (NAS)D241996-05-24No186 Lbs6 ft1NoNoNo2Pro & Farm902,000$90,200$450,000$45,000$0$0$No902,000$Lien
Jake BeanAdmirals (NAS)D221998-06-09No187 Lbs6 ft1NoNoNo2Pro & Farm1,363,333$136,333$450,000$45,000$0$0$No1,363,333$Lien
Joel KellmanAdmirals (NAS)C261994-05-25Yes192 Lbs5 ft11NoNoNo2Pro & Farm937,500$93,750$925,000$92,500$0$0$No925,000$Lien
Joseph BlandisiAdmirals (NAS)C/LW251994-07-18No182 Lbs5 ft11NoNoNo1Pro & Farm680,000$68,000$680,000$68,000$0$0$NoLien
Joseph VelenoAdmirals (NAS)C202000-01-13Yes194 Lbs6 ft1NoNoNo3Pro & Farm1,243,750$124,375$1,243,750$124,375$0$0$No1,243,750$1,243,750$
Josh AndersonAdmirals (NAS)RW261994-05-06No221 Lbs6 ft3NoNoNo1Pro & Farm678,333$67,833$678,333$67,833$0$0$NoLien
Justin KirklandAdmirals (NAS)LW231996-08-02No183 Lbs6 ft3NoNoNo2Pro & Farm925,000$92,500$450,000$45,000$0$0$No925,000$Lien
Kale ClagueAdmirals (NAS)D221998-06-05No177 Lbs6 ft0NoNoNo2Pro & Farm894,166$89,417$450,000$45,000$0$0$No894,166$Lien
Kieffer BellowsAdmirals (NAS)LW221998-06-10No196 Lbs6 ft0NoNoNo2Pro & Farm1,106,666$110,667$450,000$45,000$0$0$No1,106,666$Lien
Klim KostinAdmirals (NAS)C/LW/RW211999-05-05No196 Lbs6 ft3NoNoNo2Pro & Farm1,075,833$107,583$450,000$45,000$0$0$No1,075,833$Lien
Mario FerraroAdmirals (NAS)D211998-09-17Yes185 Lbs5 ft11NoNoNo3Pro & Farm1,137,500$113,750$1,137,500$113,750$0$0$No1,137,500$1,137,500$
Maxime LajoieAdmirals (NAS)D221997-11-05Yes183 Lbs6 ft1NoNoNo3Pro & Farm780,000$78,000$780,000$78,000$0$0$No780,000$780,000$
Tanner KeroAdmirals (NAS)C271992-07-24No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$75,000$750,000$75,000$0$0$NoLien
Teemu KivihalmeAdmirals (NAS)D251995-06-14Yes181 Lbs6 ft0NoNoNo3Pro & Farm925,000$92,500$925,000$92,500$0$0$No925,000$925,000$
Ty RonningAdmirals (NAS)RW221997-10-20No172 Lbs5 ft9NoNoNo2Pro & Farm750,833$75,083$450,000$45,000$0$0$No750,833$Lien
Xavier OuelletAdmirals (NAS)D261993-07-28No185 Lbs6 ft1NoNoNo1Pro & Farm1,250,000$125,000$1,250,000$125,000$0$0$NoLien
Yakov TreninAdmirals (NAS)C231997-01-13Yes201 Lbs6 ft2NoNoNo3Pro & Farm863,333$86,333$863,333$86,333$0$0$No863,333$863,333$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.93193 Lbs6 ft02.071,052,204$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Frank VatranoChris WagnerDanton Heinen35122
2Eeli TolvanenJoseph BlandisiJosh Anderson30122
3Klim KostinJoel KellmanDmitry Sokolov25122
4Kieffer BellowsYakov TreninFrank Vatrano10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAdam Pelech35122
2Anthony BitettoMario Ferraro30122
3Xavier OuelletYakov Trenin25122
4Erik GustafssonAdam Pelech10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Frank VatranoChris WagnerDanton Heinen60122
2Eeli TolvanenJoseph BlandisiJosh Anderson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAdam Pelech60122
2Anthony BitettoMario Ferraro40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Frank VatranoDanton Heinen60122
2Josh AndersonChris Wagner40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAdam Pelech60122
2Anthony BitettoMario Ferraro40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Frank Vatrano60122Erik GustafssonAdam Pelech60122
2Danton Heinen40122Anthony BitettoMario Ferraro40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Frank VatranoDanton Heinen60122
2Josh AndersonChris Wagner40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAdam Pelech60122
2Anthony BitettoMario Ferraro40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Frank VatranoChris WagnerDanton HeinenErik GustafssonAdam Pelech
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Frank VatranoChris WagnerDanton HeinenErik GustafssonAdam Pelech
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tanner Kero, Joseph Veleno, Justin KirklandTanner Kero, Joseph VelenoJustin Kirkland
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Xavier Ouellet, Anthony Bitetto, Mario FerraroXavier OuelletAnthony Bitetto, Mario Ferraro
Tirs de Pénalité
Frank Vatrano, Danton Heinen, Josh Anderson, Chris Wagner, Joseph Blandisi
Gardien
#1 : Hunter Miska, #2 : Calvin Petersen


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
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,051,390$ 2,532,357$ 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$ 1 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





Site web créé par le SimonT Hockey Simulator (STHS) pour Christian Cheminais - English Version of the Website - La base de données a été créé : 2020-07-02 10:12:08 AM