Soldiers
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
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
1Chris WagnerXXX100.009476807773628959555659826366676750002921,600,000$
2Dmitry SokolovXX100.00837893627866685850476567624444645000222830,000$
3Josh AndersonX100.00917081808373786938615673256465675000261678,333$
4Yakov Trenin (R)X100.00877787637654816156655966254545645000233863,333$
5Justin KirklandX100.00727077617075805750614862464545585000232925,000$
6Kieffer BellowsX100.007271746971778259504767626444446450002221,106,666$
7Klim KostinXXX100.007274677074737662785862635945456450002121,075,833$
8Joel Kellman (R)X100.00734395776959685874615974254646655000262937,500$
9Joseph BlandisiXX100.00774385736651745653625971255858655000251680,000$
10Tanner KeroX100.00746887626871746379645666535151635000271750,000$
11Joseph Veleno (R)X100.007671897271707456705058635544446150002031,243,750$
12Eetu Tuulola (R)X100.00838286658269725850535867554444625000223925,000$
13Eeli Tolvanen (R)XX100.007568906768768060505263646044446550002133,115,000$
14Anthony BitettoX100.00937082707866625725524776756465625500291621,500$
15Jake BeanX100.007369836769788362255951634844446250002221,363,333$
16Maxime Lajoie (R)X100.00736885776869745125444162395151555000223780,000$
17Mario Ferraro (R)X100.008544858067686861255148712551516150002131,137,500$
18Xavier OuelletX100.008545897469637657255247682561626050002611,250,000$
19Erik GustafssonX100.00785387836680908025665061756465665000281650,000$
Rayé
1Adam MascherinX100.00757380617366705350515162484444575000222880,000$
2Ty RonningX100.00696189626155574750444557434444525000222750,833$
3Jack DoughertyX100.00736983636969754825394161394949535000242902,000$
4Kale ClagueX100.00716584716567705725485161484444595000222894,166$
5Teemu Kivihalme (R)X100.00736786666769755025434160394444535000253925,000$
MOYENNE D'ÉQUIPE100.0078668470716875584554536647505061500
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 Miska100.0063567063676758676664304444633600
2Calvin Petersen100.0059779670566450615756304444594800
Rayé
MOYENNE D'ÉQUIPE100.006167836762665464626030444461420
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 MascherinSoldiers (VGK)LW221998-06-05No206 Lbs5 ft11NoNoNo2Pro & Farm880,000$450,000$0$0$No880,000$Lien
Anthony BitettoSoldiers (VGK)D291990-07-14No210 Lbs6 ft1NoNoNo1Pro & Farm621,500$621,500$0$0$NoLien
Calvin PetersenSoldiers (VGK)G251994-10-19No185 Lbs6 ft1NoNoNo3Pro & Farm1,108,333$858,333$0$0$No858,333$858,333$Lien
Chris WagnerSoldiers (VGK)C/LW/RW291991-05-27No198 Lbs6 ft0NoNoNo2Pro & Farm1,600,000$1,350,000$0$0$No1,350,000$Lien
Dmitry SokolovSoldiers (VGK)LW/RW221998-04-13No221 Lbs5 ft11NoNoNo2Pro & Farm830,000$450,000$0$0$No830,000$Lien
Eeli TolvanenSoldiers (VGK)LW/RW211999-04-22Yes191 Lbs5 ft10NoNoNo3Pro & Farm3,115,000$3,115,000$0$0$No3,115,000$3,115,000$
Eetu TuulolaSoldiers (VGK)RW221998-03-17Yes225 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Erik GustafssonSoldiers (VGK)D281992-03-14No176 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Hunter MiskaSoldiers (VGK)G241995-07-06No170 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Jack DoughertySoldiers (VGK)D241996-05-24No186 Lbs6 ft1NoNoNo2Pro & Farm902,000$450,000$0$0$No902,000$Lien
Jake BeanSoldiers (VGK)D221998-06-09No187 Lbs6 ft1NoNoNo2Pro & Farm1,363,333$450,000$0$0$No1,363,333$Lien
Joel KellmanSoldiers (VGK)C261994-05-25Yes192 Lbs5 ft11NoNoNo2Pro & Farm937,500$925,000$0$0$No925,000$Lien
Joseph BlandisiSoldiers (VGK)C/LW251994-07-18No182 Lbs5 ft11NoNoNo1Pro & Farm680,000$680,000$0$0$NoLien
Joseph VelenoSoldiers (VGK)C202000-01-13Yes194 Lbs6 ft1NoNoNo3Pro & Farm1,243,750$1,243,750$0$0$No1,243,750$1,243,750$
Josh AndersonSoldiers (VGK)RW261994-05-06No221 Lbs6 ft3NoNoNo1Pro & Farm678,333$678,333$0$0$NoLien
Justin KirklandSoldiers (VGK)LW231996-08-02No183 Lbs6 ft3NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Kale ClagueSoldiers (VGK)D221998-06-05No177 Lbs6 ft0NoNoNo2Pro & Farm894,166$450,000$0$0$No894,166$Lien
Kieffer BellowsSoldiers (VGK)LW221998-06-10No196 Lbs6 ft0NoNoNo2Pro & Farm1,106,666$450,000$0$0$No1,106,666$Lien
Klim KostinSoldiers (VGK)C/LW/RW211999-05-05No196 Lbs6 ft3NoNoNo2Pro & Farm1,075,833$450,000$0$0$No1,075,833$Lien
Mario FerraroSoldiers (VGK)D211998-09-17Yes185 Lbs5 ft11NoNoNo3Pro & Farm1,137,500$1,137,500$0$0$No1,137,500$1,137,500$
Maxime LajoieSoldiers (VGK)D221997-11-05Yes183 Lbs6 ft1NoNoNo3Pro & Farm780,000$780,000$0$0$No780,000$780,000$
Tanner KeroSoldiers (VGK)C271992-07-24No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Teemu KivihalmeSoldiers (VGK)D251995-06-14Yes181 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Ty RonningSoldiers (VGK)RW221997-10-20No172 Lbs5 ft9NoNoNo2Pro & Farm750,833$450,000$0$0$No750,833$Lien
Xavier OuelletSoldiers (VGK)D261993-07-28No185 Lbs6 ft1NoNoNo1Pro & Farm1,250,000$1,250,000$0$0$NoLien
Yakov TreninSoldiers (VGK)C231997-01-13Yes201 Lbs6 ft2NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2623.81192 Lbs6 ft02.041,038,195$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joseph BlandisiChris WagnerJosh Anderson35122
2Klim KostinJoel KellmanEeli Tolvanen30122
3Kieffer BellowsYakov TreninEetu Tuulola25122
4Dmitry SokolovTanner KeroJosh Anderson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAnthony Bitetto35122
2Mario FerraroXavier Ouellet30122
3Jake BeanMaxime Lajoie25122
4Erik GustafssonAnthony Bitetto10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joseph BlandisiChris WagnerJosh Anderson60122
2Klim KostinJoel KellmanEeli Tolvanen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAnthony Bitetto60122
2Mario FerraroXavier Ouellet40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Josh AndersonChris Wagner60122
2Joseph BlandisiJoel Kellman40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAnthony Bitetto60122
2Mario FerraroXavier Ouellet40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Josh Anderson60122Erik GustafssonAnthony Bitetto60122
2Chris Wagner40122Mario FerraroXavier Ouellet40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Josh AndersonChris Wagner60122
2Joseph BlandisiJoel Kellman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GustafssonAnthony Bitetto60122
2Mario FerraroXavier Ouellet40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joseph BlandisiChris WagnerJosh AndersonErik GustafssonAnthony Bitetto
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joseph BlandisiChris WagnerJosh AndersonErik GustafssonAnthony Bitetto
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joseph Veleno, Justin Kirkland, Yakov TreninJoseph Veleno, Justin KirklandYakov Trenin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jake Bean, Maxime Lajoie, Mario FerraroJake BeanMaxime Lajoie, Mario Ferraro
Tirs de Pénalité
Josh Anderson, Chris Wagner, Joseph Blandisi, Joel Kellman, Yakov Trenin
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
Capacité20001000
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 JourCapacitéPopularité 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$ 2,699,307$ 2,180,274$ 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
20208235360117220618422411618010511149222411918001219292089206358564113716265171534520510488491514445130015754545011.01%5427087.08%41181222952.98%1135223350.83%583114650.87%2085144118626091018519
Total Saison Régulière8235360117220618422411618010511149222411918001219292089206358564113716265171534520510488491514445130015754545011.01%5427087.08%41181222952.98%1135223350.83%583114650.87%2085144118626091018519





Site web créé par le SimonT Hockey Simulator (STHS) pour Christian Cheminais - English Version of the Website - La base de données a été créé : 2021-04-12 9:13:48 AM