beholdershellpepitosKingspatriots

 

 


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 : 74
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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
1Nicolas Deslauriers0X100.00955152398147786636788268555452050780
2Daniel Carr0X100.00533469375253797036838165634640050770
3Logan Shaw0X100.00793879487351826363808166665041050770
4Alan Quine0X100.00743473456256676474827761684940050760
5Luke Kunin (R)0X100.00824153554760656049738069653646050740
6Owen Tippett (R)0X100.00393187555251805931697857643230050690
7Henrik Borgstrom (R)0X100.00333194604458815841687656653434050690
8Haydn Fleury (R)0X100.00623974487860878128817172634442047820
9Markus Nutivaara0X100.00462777455055748726837571614436050810
10Xavier Ouellet0X100.00544069484856908231817270615148050800
11Gabriel Carlsson0X100.00532973575842707430746968633933050720
12Mitch Reinke0X100.00263094573347806931726554653233050680
13Trevor Carrick0X100.00565056615728756931726553644545050660
Rayé
1Christian Fischer0X100.00703476247164847337828466633933050810
2Ivan Barbashev0X100.00713983424056897065818063634542050780
3Valentin Zykov0X100.00353465497760666031727763654641050730
4Seth Griffith0X100.00533364453952776134787670715246050730
5Zach Sanford0X100.00514063587349595940707847683530050690
6Jakob Forsbacka Karlsson0X100.00262880693837785631677052653833050630
7Nicolas Kerdiles0X100.00693375656330295631686952654138050620
8MacKenzie Weegar0X100.00814958477453868129797168634342050790
9Julius Honka0X100.00423262453649818229797254634539050750
10Jacob Larsson0X100.00322873585259786931726556654139050720
11Petteri Lindbohm0X100.00584754596947766931726654634542050710
MOYENNE D'ÉQUIPE100.0056367151575175683776746164433905074
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
1Maxime Lagace100.0083917178828685858861723242047810
2Pheonix Copley100.0080866580808084848468713363050800
Rayé
1Eric Comrie100.0080886676818288848568703957050810
MOYENNE D'ÉQUIPE100.008188677881838684866671355404981
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo70707070707070CAN462450,000$


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 GP 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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alan QuineRoyaux (KLA)C251993-02-25No203 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Christian FischerRoyaux (KLA)RW211997-04-15No214 Lbs188 CMNoNoNo0Contrat d'EntréePro & Farm0$0$NoLien
Daniel CarrRoyaux (KLA)LW261991-11-01No193 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm725,000$0$0$NoLien / Lien NHL
Eric ComrieRoyaux (KLA)G231995-07-06No175 Lbs185 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Gabriel CarlssonRoyaux (KLA)D211997-01-02No192 Lbs196 CMNoNoNo2Contrat d'EntréePro & Farm894,166$0$0$NoLien / Lien NHL
Haydn FleuryRoyaux (KLA)D221996-07-08Yes221 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,713,333$0$0$NoLien
Henrik BorgstromRoyaux (KLA)C211997-08-06Yes185 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Ivan BarbashevRoyaux (KLA)C221995-12-14No187 Lbs183 CMNoNoNo0Contrat d'EntréePro & Farm0$0$NoLien / Lien NHL
Jacob LarssonRoyaux (KLA)D211997-04-29No195 Lbs188 CMNoNoNo0Contrat d'EntréePro & Farm0$0$NoLien
Jakob Forsbacka KarlssonRoyaux (KLA)C211996-10-31No184 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien / Lien NHL
Julius HonkaRoyaux (KLA)D221995-12-03No186 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm1,363,333$0$0$NoLien
Logan ShawRoyaux (KLA)RW251992-10-05No208 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Luke KuninRoyaux (KLA)C201997-12-04Yes193 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,425,000$0$0$NoLien
MacKenzie WeegarRoyaux (KLA)D241994-01-07No212 Lbs183 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Markus NutivaaraRoyaux (KLA)D241994-06-06No191 Lbs185 CMNoNoNo4Avec RestrictionPro & Farm2,700,000$0$0$NoLien / Lien NHL
Maxime LagaceRoyaux (KLA)G251993-01-12No190 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Mitch ReinkeRoyaux (KLA)D221996-02-04No181 Lbs180 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Nicolas DeslauriersRoyaux (KLA)LW271991-02-22No215 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm775,000$0$0$NoLien / Lien NHL
Nicolas KerdilesRoyaux (KLA)LW241994-01-11No200 Lbs188 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Owen TippettRoyaux (KLA)RW191999-02-16Yes200 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,658,333$0$0$NoLien
Petteri LindbohmRoyaux (KLA)D251993-09-23No198 Lbs191 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Pheonix CopleyRoyaux (KLA)G261992-01-18No200 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Seth GriffithRoyaux (KLA)LW251993-01-04No190 Lbs175 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Trevor CarrickRoyaux (KLA)D241994-07-04No186 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm670,000$0$0$NoLien
Valentin ZykovRoyaux (KLA)LW231995-05-15No224 Lbs185 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Xavier OuelletRoyaux (KLA)D251993-07-29No185 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,250,000$0$0$NoLien / Lien NHL
Zach SanfordRoyaux (KLA)LW231994-11-09No207 Lbs193 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2723.19197 Lbs185 CM0.85707,994$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel Carr40122
2Henrik BorgstromLogan Shaw30122
3Nicolas DeslauriersLuke KuninOwen Tippett20122
4Alan Quine10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus Nutivaara40122
2Xavier Ouellet30122
320122
4Markus NutivaaraMitch Reinke10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Luke Kunin60122
2Daniel CarrHenrik BorgstromLogan Shaw40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus Nutivaara60122
2Xavier Ouellet40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Logan Shaw60122
2Nicolas Deslauriers40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus Nutivaara60122
2Xavier Ouellet40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Markus Nutivaara60122
240122Xavier Ouellet40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Luke KuninLogan Shaw40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus Nutivaara60122
2Xavier Ouellet40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel CarrLogan ShawMarkus Nutivaara
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicolas DeslauriersLogan ShawMarkus Nutivaara
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Logan Shaw, , Owen Tippett,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Markus Nutivaara, , Markus Nutivaara
Tirs de Pénalité
, , Luke Kunin, Owen Tippett, Daniel Carr
Gardien
#1 : Maxime Lagace, #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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,911,583$ 1,232,417$ 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
201684280010013142066-17524204101000149998-84942239000011651068-9034314560874001071041021249283185879982120772202215863286921.04%41227932.28%81071168463.60%52784662.29%1796302759.33%2002129416996261346666
201784402501396310340-304226900142180172842141601254130168-388031053684616981049813260484988783192231077067315172885418.75%3214885.05%14940168055.95%966163659.05%650124252.33%2021132417996911300648
201784293905146245378-13342161702034119191-7242132203112126187-61582454186631481758013220069775471666259688666715682855619.65%3246978.70%11654154842.25%735165644.38%499120441.45%1809112019826971313650
201882432404245465289176412710000312401241164116140421422516560864658311296021901581091032211166105197556263393487718143388525.15%4168380.05%241110191957.84%1022176357.97%788130660.34%2023132416996551250644
Total Saison Régulière3341141680116171813343073-173916769770311076881485-79716745910857116461588-94222813342345367921247644138937105173543355033212229659336242396485123926421.31%147347967.48%573775683155.26%3250590155.08%3733677955.07%785750647180267152112609
Séries
2016161150000055352076100000321220954000002323022551021570221211125561691891899431144165310601931.67%55983.64%119935755.74%16330653.27%11121052.86%410278331124233120
2017158700000292817430000013112844000001617-11629558410156534181571161133242716412025765710.77%60886.67%116229554.92%18131657.28%10417858.43%358224349136252126
2017514000001318-52110000087130300000511-62132336007420143434455118852548623521.74%27388.89%1549954.55%4912937.98%226036.67%10768128407034
20181156000003539-45230000019181633000001621-510355792102067241615112612910399148138268581322.41%641871.88%314329348.81%13826152.87%6714845.27%25815526010118189
Total Séries47252200000132120122113800000724824261214000006072-125013223736922633725715335204754865214455084779212064421.36%2063881.55%6558104453.45%531101252.47%30459651.01%11347261070402737371