PV Sharapovas

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Justin Guitard | Morale : 99 | Moyenne d'Équipe : 67
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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
1Nate Thompson0XX100.008048856278738859836157796286772579710
2Marcus Sorensen0X100.007242846867798767536466726975685482710
3Tomas Nosek0XXX100.007939866581728364766163746575693671710
4Charles Hudon0X100.007145866668817964536265696771725887700
5Michael Chaput0X100.006545886380757362766061656275735287680
6Justin Kirkland0XX100.006254846180879160565954586167646686670
7Ryan MacInnis0X100.006446896186757362686159636167647286670
8Trevor Moore0X100.006339876667757265716264636669654287670
9Miikka Salomaki0XX100.006443886173787562555959636073686187660
10Ryan Gropp0X100.006445865981848258545755565867647278660
11Phil Varone0X100.005837826269706864756361596478685387650
12Chase Pearson (R)0X100.006243885778818255505356585765635696640
13Nathan Beaulieu0X100.008059706680817364307258765075696674710
14Kevin Connauton0X100.007346856081867759306458705478685176700
15Dennis Cholowski0X100.006343886580847863306660615263628284680
16Yannick Weber0X100.007139856472737862306356615280734187670
17Guillaume Brisebois0X100.005943895975777258305756605265636689640
Rayé
1Keegan Kolesar0X100.006749886186777360575958625865636682660
2Nate Schnarr (R)0X100.006249845879807657635853565961636696640
MOYENNE D'ÉQUIPE100.00674585627778786155615964597167578468
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
1Christopher Gibson100.00756765827473757473757475816087680
2Zachary Fucale100.00605351785958605958605969737287570
Rayé
MOYENNE D'ÉQUIPE100.0068605880676668676668677277668763
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Yzerman62626262696960CAN553300,000$


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
Charles HudonPV Sharapovas (DET)LW251994-06-23No86 Kg178 CMNoNoNo2Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$Lien
Chase PearsonPV Sharapovas (DET)C221997-08-23Yes86 Kg188 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Christopher GibsonPV Sharapovas (DET)G261992-12-27No94 Kg188 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Dennis CholowskiPV Sharapovas (DET)D211998-02-15No90 Kg188 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Guillaume BriseboisPV Sharapovas (DET)D221997-07-21No80 Kg188 CMNoNoNo6Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$900,000$900,000$900,000$900,000$Lien
Justin KirklandPV Sharapovas (DET)C/LW231996-08-02No83 Kg191 CMNoNoNo6Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$850,000$850,000$850,000$850,000$Lien
Keegan KolesarPV Sharapovas (DET)RW221997-04-08No103 Kg188 CMNoNoNo6Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$900,000$900,000$900,000$900,000$Lien
Kevin ConnautonPV Sharapovas (DET)D291990-02-23No93 Kg188 CMNoNoNo1Pro & Farm1,375,000$1,375,000$1,375,000$1,375,000$0$0$NoLien
Marcus SorensenPV Sharapovas (DET)RW271992-04-07No80 Kg180 CMNoNoNo5Pro & Farm1,600,000$1,600,000$1,600,000$1,600,000$0$0$No1,600,000$1,600,000$1,600,000$1,600,000$Lien
Michael ChaputPV Sharapovas (DET)C271992-04-09No90 Kg188 CMNoNoNo4Pro & Farm800,000$800,000$800,000$800,000$0$0$No800,000$800,000$800,000$Lien
Miikka SalomakiPV Sharapovas (DET)LW/RW261993-03-09No92 Kg180 CMNoNoNo3Pro & Farm950,000$950,000$950,000$950,000$0$0$No950,000$950,000$Lien
Nate SchnarrPV Sharapovas (DET)C201999-02-25Yes82 Kg191 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Nate ThompsonPV Sharapovas (DET)C/LW341984-10-05No93 Kg185 CMNoNoNo2Pro & Farm1,650,000$1,650,000$1,650,000$1,650,000$0$0$No1,650,000$Lien
Nathan BeaulieuPV Sharapovas (DET)D261992-12-05No91 Kg188 CMNoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Phil VaronePV Sharapovas (DET)C281990-12-04No88 Kg178 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Ryan GroppPV Sharapovas (DET)LW221996-09-16No85 Kg191 CMNoNoNo6Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$900,000$900,000$900,000$900,000$Lien
Ryan MacInnisPV Sharapovas (DET)C231996-02-14No87 Kg193 CMNoNoNo4Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$850,000$850,000$Lien
Tomas NosekPV Sharapovas (DET)C/LW/RW261992-09-01No93 Kg188 CMNoNoNo5Pro & Farm1,250,000$1,250,000$1,250,000$1,250,000$0$0$No1,250,000$1,250,000$1,250,000$1,250,000$Lien
Trevor MoorePV Sharapovas (DET)LW241995-03-21No84 Kg178 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Yannick WeberPV Sharapovas (DET)D301988-09-23No91 Kg180 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Zachary FucalePV Sharapovas (DET)G241995-05-28No85 Kg188 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.1088 Kg185 CM3.52946,429$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tomas NosekNate ThompsonMarcus Sorensen31122
2Charles HudonMichael ChaputMiikka Salomaki26122
3Trevor MooreJustin KirklandNate Thompson23122
4Ryan GroppRyan MacInnisMarcus Sorensen20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonDennis Cholowski31122
2Yannick WeberGuillaume Brisebois26122
3Kevin ConnautonDennis Cholowski23122
4Yannick WeberGuillaume Brisebois20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tomas NosekNate ThompsonMarcus Sorensen55122
2Charles HudonMichael ChaputMiikka Salomaki45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonDennis Cholowski55122
2Yannick WeberGuillaume Brisebois45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nate ThompsonMarcus Sorensen55122
2Tomas NosekCharles Hudon45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonDennis Cholowski55122
2Yannick WeberGuillaume Brisebois45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nate Thompson55122Kevin ConnautonDennis Cholowski55122
2Marcus Sorensen45122Yannick WeberGuillaume Brisebois45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nate ThompsonMarcus Sorensen55122
2Tomas NosekCharles Hudon45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonDennis Cholowski55122
2Yannick WeberGuillaume Brisebois45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tomas NosekNate ThompsonMarcus SorensenKevin ConnautonDennis Cholowski
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tomas NosekNate ThompsonMarcus SorensenKevin ConnautonDennis Cholowski
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Phil Varone, Chase Pearson, Trevor MoorePhil Varone, Chase PearsonTrevor Moore
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevin Connauton, Dennis Cholowski, Yannick WeberKevin ConnautonDennis Cholowski, Yannick Weber
Tirs de Pénalité
Nate Thompson, Marcus Sorensen, Tomas Nosek, Charles Hudon, Michael Chaput
Gardien
#1 : Christopher Gibson, #2 : Zachary Fucale
Lignes d'Attaque Perso. en Prol.
Nate Thompson, Marcus Sorensen, Tomas Nosek, Charles Hudon, Michael Chaput, Trevor Moore, Trevor Moore, Justin Kirkland, Ryan MacInnis, Ryan Gropp, Miikka Salomaki
Lignes de Défense Perso. en Prol.
Kevin Connauton, Dennis Cholowski, Yannick Weber, Guillaume Brisebois,


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$ 1,987,500$ 1,987,500$ 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
338250190462145414830641268033012247415041241101320230741561004548351289123228126948406313161312140944153743861615402163918.06%2613486.97%71889283866.56%1070184757.93%890131667.63%274921821320432890505
Total Saison Régulière8250190462145414830641268033012247415041241101320230741561004548351289123228126948406313161312140944153743861615402163918.06%2613486.97%71889283866.56%1070184757.93%890131667.63%274921821320432890505
Séries
33171160000052292386200000251213954000002717102252951470125161015561801751891237796163312681319.12%69888.41%139166658.71%26348754.00%15026556.60%466329361121220116
Total Séries171160000052292386200000251213954000002717102252951470125161015561801751891237796163312681319.12%69888.41%139166658.71%26348754.00%15026556.60%466329361121220116