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 : 68
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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
1Pavel Zacha0X100.00632366367473727180798274754945018730
2Luke Kunin0X100.00733058375672746962798071713757050710
3Christian Fischer0X100.00782465357462807134778155654241047700
4Logan Shaw0X100.00783070477755806361767866706054050680
5Henrik Borgstrom0X100.00382277365856857071787751663337050680
6Michael Rasmussen (R)0X100.00782754378356726842788155713247047680
7Nicolas Deslauriers0X100.00914352488549756366737951606160050670
8Jakob Forsbacka Karlsson0X100.00441978455054816162768152673939050660
9Valentin Zykov0X100.00632875397748786533768053664645047660
10Daniel Carr0X100.00552774486053776233727955654748050650
11Michael McLeod (R)0X100.00702965605556815948687657673759047640
12Owen Tippett0X100.00312283627251825731647166683438050610
13Markus Nutivaara0X100.00581576445863728328847750634838050710
14Jacob Larsson0X100.00571866486262787831807356664439047690
15Haydn Fleury0X100.00702671497351757830797342664757047680
16Julius Honka0X100.00532363464549778031807441664842050670
17Cale Makar (R)0X100.00412183484763827131747254682739047660
18Gabriel Carlsson0X100.00401974596440776830727051674137050620
Rayé
1Alan Quine0X100.00662465556648706139707854715245050630
2Seth Griffith0X100.00362375605148775731667461735547047610
3Nicolas Kerdiles0X100.00313283686918755631646967683946047520
4Xavier Ouellet0X100.00693166476356908029817449655669050710
5MacKenzie Weegar0X100.00834057466859708178817550654554050700
6Mitch Reinke0X100.00262283574548846731966856683245050670
7Jeremy Lauzon (R)0X100.00473380596756816931737060673755047660
8Trevor Carrick0X100.00344176607035836731726854685068050620
MOYENNE D'ÉQUIPE100.0057277149645378684376755667444804866
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
1Pheonix Copley100.0086898786869290899080784868050830
2Maxime Lagace100.0082898277818882849053625359047780
Rayé
1Eric Comrie100.0081898074818182838751605865050760
MOYENNE D'ÉQUIPE100.008389837983878585896167536404979
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo87928481728350CAN462450,000$


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)C261993-02-25No203 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Cale MakarRoyaux (KLA)D201998-10-30Yes187 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm2,854,166$0$0$NoLien
Christian FischerRoyaux (KLA)RW221997-04-15No214 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm1,075,833$0$0$NoLien
Daniel CarrRoyaux (KLA)LW271991-11-01No193 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm725,000$0$0$NoLien / Lien NHL
Eric ComrieRoyaux (KLA)G241995-07-06No175 Lbs185 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Gabriel CarlssonRoyaux (KLA)D221997-01-02No192 Lbs196 CMNoNoNo2Contrat d'EntréePro & Farm894,166$0$0$NoLien / Lien NHL
Haydn FleuryRoyaux (KLA)D231996-07-08No208 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,713,333$0$0$NoLien
Henrik BorgstromRoyaux (KLA)C221997-08-06No190 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Jacob LarssonRoyaux (KLA)D221997-04-29No197 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm894,166$0$0$NoLien
Jakob Forsbacka KarlssonRoyaux (KLA)C221996-10-31No184 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien / Lien NHL
Jeremy LauzonRoyaux (KLA)D221997-04-28Yes204 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm871,666$0$0$NoLien
Julius HonkaRoyaux (KLA)D231995-12-03No180 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm1,363,333$0$0$NoLien
Logan ShawRoyaux (KLA)RW261992-10-05No208 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Luke KuninRoyaux (KLA)C211997-12-04No195 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,425,000$0$0$NoLien
MacKenzie WeegarRoyaux (KLA)D251994-01-07No200 Lbs183 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Markus NutivaaraRoyaux (KLA)D251994-06-06No191 Lbs185 CMNoNoNo4Avec RestrictionPro & Farm2,700,000$0$0$NoLien / Lien NHL
Maxime LagaceRoyaux (KLA)G261993-01-12No190 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Michael McLeodRoyaux (KLA)C211998-02-03Yes188 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm1,363,333$0$0$NoLien
Michael RasmussenRoyaux (KLA)RW201999-04-17Yes221 Lbs198 CMNoNoNo2Contrat d'EntréePro & Farm1,710,833$0$0$NoLien
Mitch ReinkeRoyaux (KLA)D231996-02-04No181 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Nicolas DeslauriersRoyaux (KLA)LW281991-02-22No221 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm775,000$0$0$NoLien / Lien NHL
Nicolas KerdilesRoyaux (KLA)LW251994-01-11No200 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Owen TippettRoyaux (KLA)RW201999-02-16No216 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,658,333$0$0$NoLien
Pavel ZachaRoyaux (KLA)C221997-04-06No210 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien / Lien NHL
Pheonix CopleyRoyaux (KLA)G271992-01-18No200 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Seth GriffithRoyaux (KLA)LW261993-01-04No190 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Trevor CarrickRoyaux (KLA)D251994-07-04No196 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm670,000$0$0$NoLien
Valentin ZykovRoyaux (KLA)LW241995-05-15No220 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien
Xavier OuelletRoyaux (KLA)D261993-07-29No196 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,250,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.62198 Lbs185 CM1.451,061,580$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel CarrPavel ZachaChristian Fischer40122
2Valentin ZykovHenrik BorgstromOwen Tippett30122
3Nicolas DeslauriersLuke KuninMichael Rasmussen20122
4Jakob Forsbacka KarlssonMichael McLeodLogan Shaw10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraCale Makar40122
2Jacob LarssonJulius Honka30122
3Gabriel CarlssonHaydn Fleury20122
4Markus NutivaaraCale Makar10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel CarrPavel ZachaChristian Fischer60122
2Luke KuninHenrik BorgstromOwen Tippett40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cale MakarMarkus Nutivaara60122
2Julius HonkaJacob Larsson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jakob Forsbacka KarlssonNicolas Deslauriers60122
2Michael McLeodMichael Rasmussen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraCale Makar60122
2Jacob LarssonJulius Honka40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nicolas Deslauriers60122Markus NutivaaraCale Makar60122
2Jakob Forsbacka Karlsson40122Gabriel CarlssonHaydn Fleury40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Pavel ZachaLuke Kunin60122
2Henrik BorgstromOwen Tippett40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraCale Makar60122
2Jacob LarssonJulius Honka40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel CarrPavel ZachaLuke KuninMarkus NutivaaraCale Makar
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicolas DeslauriersJakob Forsbacka KarlssonLogan ShawMarkus NutivaaraCale Makar
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Logan Shaw, Luke Kunin, Christian FischerOwen Tippett, Nicolas DeslauriersValentin Zykov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gabriel Carlsson, Cale Makar, Markus NutivaaraJulius HonkaGabriel Carlsson, Markus Nutivaara
Tirs de Pénalité
Cale Makar, Henrik Borgstrom, Luke Kunin, Owen Tippett, Daniel Carr
Gardien
#1 : Pheonix Copley, #2 : Maxime Lagace


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$ 3,078,583$ 1,851,917$ 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