National

GP: 5 | W: 2 | L: 3
GF: 16 | GA: 17 | PP%: 47.62% | PK%: 61.90%
DG: Patrice Duchesneau | Morale : 50 | Moyenne d'Équipe : 63
Prochain matchs #43 vs Sea Dogs
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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
1Tim SchallerX100.00754091836773735352485775556977050710
2Charles HudonX100.00813490835769635551525762555770017680
3Travis Boyd (R)X100.00503493865568645753585668546069050680
4Luke Kunin (R)X100.00683789846071595453515669544865050670
5Tage ThompsonX100.00653692857661715148465657584861050660
6Byron FroeseX100.00533394836558404749435165516669050620
7Daniel CarrX100.00513495846060354949455360526668054620
8Alexander BurmistrovX100.00543294865758374949455260526668050620
9Tomas JurcoX100.00523295856256344744425359526366038610
10Michael McCarronX100.00563994808455274646415058505461050610
11Jakob ChychrunX100.00823584846671686448656468604569040740
12Victor MeteX100.00503094854762795447575082504562039690
13Jake DotchinX100.00723991836864405248515366525769050670
14Jacob Larsson (R)X100.00603291846267595047505069504862050660
15Tobias EnstromX100.00513192854863445051525265518780050650
16Paul LaDueX100.00613294846364365149485559546369050640
17Dylan McIlrathX100.00503595798152254849455161506366042620
Rayé
1Jacob De La RoseX100.00783790827368685158485474535469050690
2Reid BoucherX100.00483495825658304748425358526063045590
3Quinton HowdenX100.00493195856252294642405155506364050590
4Sam CarrickX100.00493395826355254648415060506365050590
5Chris TerryX100.00483195825654324642415156527269048590
6Lucas LessioX100.00473195816851254541405056516062050580
7Chris Brown (R)X100.00453095817150254540405055506665050580
8John GilmourX100.00503295855666305048475257526064050610
9Nikita NesterovX100.00533195845454334948495256526065050600
10Joel HanleyX100.00493195845463254849455058506667050600
11Brett Lernout (R)X100.00453295827250254548455055505460050590
12Morgan Ellis (R)X100.00453195816550254548455055506364050580
13Viktor Loov (R)X100.00453295816550254548455055506364050580
MOYENNE D'ÉQUIPE100.0056339383636042504847536252606604763
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
1Michael Leighton100.0063256972666263636366559973034610
Rayé
MOYENNE D'ÉQUIPE100.006325697266626363636655997303461
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard67636580697280CAN4431,000,000$


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
1Charles HudonNational (PIT)LW5257100554112284.88%38817.642133800000100.00%2116001.5900000200
2Tage ThompsonNational (PIT)RW5257-100542314258.70%19819.66145313000000050.00%6142001.4200000001
3Jakob ChychrunNational (PIT)D5167-2601062312124.35%811122.26156212000110000.00%0132001.2600000010
4Jake DotchinNational (PIT)D51340001423794.35%69919.9412329000012000.00%034000.8000000000
5Victor MeteNational (PIT)D5101-2006711769.09%911422.81101312000113000.00%035000.1800000000
6Travis BoydNational (PIT)C5011100001100.00%1142.8000000000000055.56%910001.4300000000
7Dylan McIlrathNational (PIT)D5011000007310.00%0367.350000000001000.00%001000.5400000000
8Tobias EnstromNational (PIT)D5011-100136570.00%35110.320000000000000.00%002000.3900000000
9Luke KuninNational (PIT)C5000000000110.00%010.220000000000000.00%000000.0000000000
10Paul LaDueNational (PIT)D5000-100128980.00%35310.800000000003000.00%002000.0000000000
11Alexander BurmistrovNational (PIT)C5000000000000.00%000.100000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne5572229-560293114371974.90%3466912.176121813560002401047.06%174524000.8700000211
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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
Alexander BurmistrovNational (PIT)C281991-01-01No180 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien NHL
Brett LernoutNational (PIT)D241995-01-01Yes213 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Byron FroeseNational (PIT)C281991-01-01No202 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,100,000$0$0$NoLien NHL
Charles HudonNational (PIT)LW251994-01-01No196 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$NoLien NHL
Chris BrownNational (PIT)RW281991-01-01Yes215 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Chris TerryNational (PIT)LW301989-01-01No195 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No
Daniel CarrNational (PIT)LW281991-01-01No193 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien NHL
Dylan McIlrathNational (PIT)D271992-01-01No236 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Jacob De La RoseNational (PIT)C241995-01-01No216 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm850,000$0$0$NoLien NHL
Jacob LarssonNational (PIT)D221997-01-01Yes197 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$NoLien
Jake DotchinNational (PIT)D251994-01-01No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$NoLien / Lien NHL
Jakob ChychrunNational (PIT)D211998-01-01No210 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm1,500,000$0$0$NoLien / Lien NHL
Joel HanleyNational (PIT)D281991-01-01No190 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien / Lien NHL
John GilmourNational (PIT)D261993-01-01No190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Lucas LessioNational (PIT)LW261993-01-01No212 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Luke KuninNational (PIT)C221997-01-01Yes195 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm800,000$0$0$NoLien NHL
Michael LeightonNational (PIT)G381981-01-01No186 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No
Michael McCarronNational (PIT)RW241995-01-01No230 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm800,000$0$0$NoLien NHL
Morgan EllisNational (PIT)D271992-01-01Yes211 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Nikita NesterovNational (PIT)D261993-01-01No191 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Paul LaDueNational (PIT)D271992-01-01No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm600,000$0$0$NoLien / Lien NHL
Quinton HowdenNational (PIT)C271992-01-01No189 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Reid BoucherNational (PIT)C261993-01-01No195 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien NHL
Sam CarrickNational (PIT)C271992-01-01No204 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Tage ThompsonNational (PIT)RW221997-01-01No205 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm950,000$0$0$NoLien NHL
Tim SchallerNational (PIT)C291990-01-01No204 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm700,000$0$0$NoLien NHL
Tobias EnstromNational (PIT)D351984-01-01No180 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm1,000,000$0$0$NoLien
Tomas JurcoNational (PIT)LW271992-01-01No188 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien NHL
Travis BoydNational (PIT)C261993-01-01Yes185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien NHL
Victor MeteNational (PIT)D211998-01-01No183 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm650,000$0$0$NoLien / Lien NHL
Viktor LoovNational (PIT)D271992-01-01Yes212 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3126.48200 Lbs6 ft12.26711,290$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tage Thompson40122
2Charles Hudon30122
320122
4Travis BoydCharles Hudon10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakob ChychrunVictor Mete40122
2Jake Dotchin30122
3Tobias EnstromPaul LaDue20122
4Dylan McIlrath10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tage Thompson60122
2Charles Hudon40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakob ChychrunVictor Mete60122
2Jake Dotchin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakob ChychrunVictor Mete60122
2Jake Dotchin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jakob ChychrunVictor Mete60122
240122Jake Dotchin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakob ChychrunVictor Mete60122
2Jake Dotchin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tage ThompsonJakob ChychrunVictor Mete
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tage ThompsonJakob ChychrunVictor Mete
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Luke Kunin, Alexander Burmistrov, Byron FroeseLuke Kunin, Alexander BurmistrovByron Froese
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tobias Enstrom, Paul LaDue, Dylan McIlrathTobias EnstromPaul LaDue, Dylan McIlrath
Tirs de Pénalité
, , , , Travis Boyd
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
Total523000001617-12020000059-432100000118340.4001632480066401916764600149544087211047.62%21861.90%04212832.81%298434.52%219023.33%11879105437534
_Since Last GM Reset523000001617-12020000059-432100000118340.4001632480066401916764600149544087211047.62%21861.90%04212832.81%298434.52%219023.33%11879105437534
_Vs Conference523000001617-12020000059-432100000118340.4001632480066401916764600149544087211047.62%21861.90%04212832.81%298434.52%219023.33%11879105437534
_Vs Division500000001617-12000000059-430000000118300.0001632480066401916764600149544087211047.62%21861.90%04212832.81%298434.52%219023.33%11879105437534

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
54W116324819114954408700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
52300001617
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000059
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3210000118
Derniers 10 Matchs
WLOTWOTL SOWSOL
230000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
211047.62%21861.90%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
67646006640
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
4212832.81%298434.52%219023.33%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11879105437534


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
1 - 2020-01-093National2Sea Dogs5LSommaire du Match
2 - 2020-01-1011National6Sea Dogs1WSommaire du Match
3 - 2020-01-1119Sea Dogs3National2LSommaire du Match
4 - 2020-01-1227Sea Dogs6National3LSommaire du Match
5 - 2020-01-1335National3Sea Dogs2WSommaire du Match
6 - 2020-01-1443Sea Dogs-National-
7 - 2020-01-1551National-Sea Dogs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance4,0001,996
Assistance PCT100.00%99.80%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 2998 - 99.93% 97,716$195,431$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,205,000$ 2,205,000$ 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$ 2 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
19523000001617-12020000059-432100000118341632480066401916764600149544087211047.62%21861.90%04212832.81%298434.52%219023.33%11879105437534
Total Séries523000001617-12020000059-432100000118341632480066401916764600149544087211047.62%21861.90%04212832.81%298434.52%219023.33%11879105437534