hellpepitosKingspatriots

 

 


Royaux

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Eric Plourde | Morale : 50 | Moyenne d'Équipe : 65
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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
1Zach Sanford0X100.00673065397656657162808250653644050690
2Robert Thomas (R)0XX100.00372266344960777261828351713640050690
3Ivan Barbashev0X100.00792871445254916769778155645153014680
4Michael Rasmussen (R)0XXX100.00782754378356726842788155713247050680
5Jack Roslovic0XXX100.00521877385246897061798246714036050670
6Valentin Zykov0X100.00632875397748786533768053664645050660
7Andrew Mangiapane0X100.00721864384648767265768153714040050660
8Alexander Nylander0XX100.00291974505556785934677665674037050620
9Jacob Larsson0X100.00571866486262787831807356664439050690
10Julius Honka0X100.00532363464549778031807441664842050670
11Jeremy Lauzon (R)0X100.00473380596756816931737060673755050650
12Dante Fabbro (R)0X100.00432183595143826931727149683243050620
Rayé
1Jakob Forsbacka Karlsson0X100.00441978455054816162768152673939050650
2Seth Griffith0X100.00362375605148775731667461735547050610
3Kristian Vesalainen (R)0X100.00312083686930835631657662683937050580
4Nicolas Kerdiles0X100.00313283686918755631646967683946050510
5Gabriel Carlsson0X100.00401974596440776830727051674137050610
MOYENNE D'ÉQUIPE100.0051237249604879674374775568414304864
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
1Alex Nedeljkovic100.0080898775818086839250606271050780
Rayé
MOYENNE D'ÉQUIPE100.008089877581808683925060627105078
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo87928481728350CAN475450,000$


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 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
Alex NedeljkovicRoyaux (KLA)G231996-01-07No189 Lbs183 CMNoNoNo1Pro & Farm894,167$894,167$0$0$NoLien
Alexander NylanderRoyaux (KLA)LW/RW211998-03-02No192 Lbs185 CMNoNoNo2Pro & Farm1,713,333$1,713,333$0$0$No1,713,333$Lien
Andrew MangiapaneRoyaux (KLA)LW231996-04-04No184 Lbs178 CMNoNoNo2Pro & Farm715,000$715,000$0$0$No715,000$Lien
Dante FabbroRoyaux (KLA)D211998-06-20Yes189 Lbs183 CMNoNoNo1Pro & Farm1,491,666$1,491,666$0$0$NoLien
Gabriel CarlssonRoyaux (KLA)D221997-01-02No192 Lbs196 CMNoNoNo1Pro & Farm894,166$894,166$0$0$NoLien / Lien NHL
Ivan BarbashevRoyaux (KLA)C231995-12-14No187 Lbs183 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien / Lien NHL
Jack RoslovicRoyaux (KLA)C/LW/RW221997-01-29No187 Lbs185 CMNoNoNo1Pro & Farm1,106,666$1,106,666$0$0$NoLien
Jacob LarssonRoyaux (KLA)D221997-04-29No197 Lbs188 CMNoNoNo1Pro & Farm894,166$894,166$0$0$NoLien
Jakob Forsbacka KarlssonRoyaux (KLA)C221996-10-31No184 Lbs185 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Jeremy LauzonRoyaux (KLA)D221997-04-28Yes204 Lbs185 CMNoNoNo1Pro & Farm871,666$871,666$0$0$NoLien
Julius HonkaRoyaux (KLA)D231995-12-03No180 Lbs180 CMNoNoNo1Pro & Farm1,363,333$1,363,333$0$0$NoLien
Kristian VesalainenRoyaux (KLA)LW201999-06-01Yes207 Lbs191 CMNoNoNo1Pro & Farm1,491,667$1,491,667$0$0$NoLien
Michael RasmussenRoyaux (KLA)C/LW/RW201999-04-17Yes221 Lbs198 CMNoNoNo1Pro & Farm1,710,833$1,710,833$0$0$NoLien
Nicolas KerdilesRoyaux (KLA)LW251994-01-11No200 Lbs188 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Robert ThomasRoyaux (KLA)C/RW201999-07-02Yes188 Lbs183 CMNoNoNo1Pro & Farm1,177,500$1,177,500$0$0$NoLien
Seth GriffithRoyaux (KLA)LW261993-01-04No190 Lbs175 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Valentin ZykovRoyaux (KLA)LW241995-05-15No220 Lbs183 CMNoNoNo1Pro & Farm675,000$675,000$0$0$NoLien
Zach SanfordRoyaux (KLA)LW241994-11-09No207 Lbs193 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1822.39195 Lbs185 CM1.111,056,250$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Zach SanfordIvan BarbashevAlexander Nylander30122
3Valentin Zykov20122
4Michael Rasmussen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Jacob LarssonJulius Honka30122
3Jeremy LauzonDante Fabbro20122
4Jacob LarssonDante Fabbro10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Alexander Nylander40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dante Fabbro60122
2Jacob LarssonJeremy Lauzon40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael Rasmussen60122
2Zach Sanford40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jacob LarssonJulius Honka40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
2Michael Rasmussen40122Jacob LarssonJulius Honka40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Alexander Nylander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jacob LarssonDante Fabbro40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach SanfordMichael RasmussenJacob LarssonJulius Honka
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Rasmussen, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dante Fabbro, , Jacob LarssonDante Fabbro, Jacob Larsson
Tirs de Pénalité
, , , , Alexander Nylander
Gardien
#1 : , #2 :


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
42 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,901,251$ 1,428,500$ 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
20168425520040338931079421324003022241457942122800101165165050389596985111331271290259786286487082941105745913473303610.91%1694672.78%1509175029.09%461173126.63%391124831.33%1749118621936371120523
2017843032066462662343242151404414139115244215180223212711986026644170702898384112429811784783832635948101615872615019.16%4608082.61%11738158746.50%898197545.47%454107642.19%1785112820747081255592
201784402501396310340-304226900142180172842141601254130168-388031053684616981049813260484988783192231077067315172885418.75%3214885.05%14940168055.95%966163659.05%650124252.33%2021132417996911300648
201882432400546491283208412611002112671381294117130033522414579864917431234201921701256332412351143938502960102837411503438725.36%1784873.03%1933200046.65%711164143.33%612131946.40%1937134518696131171582
201882432404245465289176412710000312401241164116140421422516560864658311296021901581091032211166105197556263393487718143388525.15%4168380.05%241110191957.84%1022176357.97%788130660.34%2023132416996551250644
Total Saison Régulière416181157011202126192114564652081076804109101050694356208748907101216871762109362192131475068411702642545401417549234729439728913479473733997415156031220.00%154430580.25%514230893647.34%4058874646.40%2895619146.76%951763099636330660972990
Séries
20161046000002527-25230000014122523000001115-482545700071152291816810438351126102228371232.43%42685.71%07320236.14%7524131.12%3911833.05%2121202859817785
201740400000714-72020000047-32020000037-407111800043011736453601344863611417.14%24866.67%0278830.68%5010249.02%174240.48%855498345626
2017158700000292817430000013112844000001617-11629558410156534181571161133242716412025765710.77%60886.67%116229554.92%18131657.28%10417858.43%358224349136252126
2018734000002523233000000169740400000914-5625315600117703131289671182451084212431825.81%201050.00%07620137.81%4415927.67%3311528.70%182131158539946
20181156000003539-45230000019181633000001621-510355792102067241615112612910399148138268581322.41%641871.88%314329348.81%13826152.87%6714845.27%25815526010118189
Total Séries47202700000121131-10221111000006657925916000005574-194012119932020533427715555534514539815565944659382054120.00%2105076.19%4481107944.58%488107945.23%26060143.26%10976851152423767374