Devils

GP: 6 | W: 3 | L: 3 | OTL: 0 | P: 6
GF: 25 | GA: 28 | PP%: 40.00% | PK%: 41.38%
DG: Gilles Crites | Morale : 50 | Moyenne d'Équipe : 69
Prochain matchs #84 vs Bruins
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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
1Adrian KempeX100.007342756681779465766765586567657952710
2Nic DowdX100.008138856580677765766863816477724052710
3Pierre-Edouard BellemareX100.007035936374738961786059845884742552710
4Brandon DubinskyX100.008851766581727464816362736582744052700
5Michael RafflX100.008040806374698062556561726079703452680
6Carl GrundstromX100.006937896375846862586165576163647852680
7Filip ZadinaX100.005635936473867263565961586359629152660
8Brendan SmithX100.008259666479817663306962715378706452710
9Jan RuttaX100.006838856483796263306859665177694852680
10Rasmus AnderssonX100.006243866480819262307358665665637452680
11Filip HronekX100.006642746971847268307665636163627252680
12Adam ClendeningX100.005539816274786661306254664773676552660
13Josh MahuraX100.005636926573816463307056625861637452650
Rayé
1Jack RoslovicX100.005635946475659063716662576365628144690
2Mattias JanmarkX100.005338866476789463526859756173675544680
3Trevor LewisX100.007842896378765762726758716080735144680
4Paul LaDueX100.008138846380735062306460575173684244650
MOYENNE D'ÉQUIPE100.00694084647777756352666167597267605068
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
1Aaron Dell100.00817876758079818079818078843952770
Rayé
MOYENNE D'ÉQUIPE100.0081787675807981807981807884395277
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo75858080686380CAN4531,150,000$


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
1Rasmus AnderssonDevils (NJD)D60333000084100.00%0549.000000000000000.00%002001.1100000000
Stats d'équipe Total ou en Moyenne60333000084100.00%0549.000000000000000.00%002001.1100000000
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
Aaron DellDevils (NJD)G281989-05-04No205 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm1,900,000$0$0$NoLien
Adam ClendeningDevils (NJD)D241992-10-26No196 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Adrian KempeDevils (NJD)C211996-09-13No201 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm2,000,000$0$0$NoLien
Brandon DubinskyDevils (NJD)C311986-04-29No205 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,270,000$0$0$NoLien
Brendan SmithDevils (NJD)D281989-02-08No195 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,770,000$0$0$NoLien
Carl GrundstromDevils (NJD)RW191997-12-01No201 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Filip HronekDevils (NJD)D191997-11-02No170 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Filip ZadinaDevils (NJD)RW171999-11-27No195 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jack RoslovicDevils (NJD)C201997-01-29No187 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm894,166$0$0$NoLien
Jan RuttaDevils (NJD)D271990-07-29No200 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,300,000$0$0$NoLien
Josh MahuraDevils (NJD)D191998-05-05No192 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Mattias JanmarkDevils (NJD)C241992-12-08No195 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm2,300,000$0$0$NoLien
Michael RafflDevils (NJD)LW281988-12-01No200 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm777,000$0$0$NoLien
Nic DowdDevils (NJD)C271990-05-27No197 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm757,000$0$0$NoLien
Paul LaDueDevils (NJD)D251992-09-06No200 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm900,000$0$0$NoLien
Pierre-Edouard BellemareDevils (NJD)C321985-03-06No198 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm1,110,000$0$0$NoLien
Rasmus AnderssonDevils (NJD)D201996-10-27No214 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm755,833$0$0$NoLien
Trevor LewisDevils (NJD)C301987-01-08No202 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,000,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1824.39197 Lbs6 ft11.561,249,111$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
3Rasmus Andersson20122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rasmus Andersson, , Rasmus Andersson,
Tirs de Pénalité
, , , ,
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
1Crunch11000000633000000000001100000063321.000612180021310024474736015510219444.44%5260.00%0487960.76%449247.83%5312044.17%13684126529648
2Penguins21100000981110000005321010000045-120.5009182700213100494747360471110226466.67%5420.00%0487960.76%449247.83%5312044.17%13684126529648
3Phantoms1010000008-81010000008-80000000000000.0000000021310011474736043151817300.00%9722.22%0487960.76%449247.83%5312044.17%13684126529648
4Sound Tigers211000001091110000005321010000056-120.50010192900213100464747360482320227228.57%10460.00%3487960.76%449247.83%5312044.17%13684126529648
Total633000002528-3321000001014-4312000001514160.500254974002131001304747360153545882251040.00%291741.38%3487960.76%449247.83%5312044.17%13684126529648
_Since Last GM Reset633000002528-3321000001014-4312000001514160.500254974002131001304747360153545882251040.00%291741.38%3487960.76%449247.83%5312044.17%13684126529648
_Vs Conference633000002528-3321000001014-4312000001514160.500254974002131001304747360153545882251040.00%291741.38%3487960.76%449247.83%5312044.17%13684126529648
_Vs Division523000001925-6321000001014-420200000911-240.40019375600213100106474736013849486116637.50%241537.50%3487960.76%449247.83%5312044.17%13684126529648

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
66W125497413015354588200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
63300002528
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001014
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
31200001514
Derniers 10 Matchs
WLOTWOTL SOWSOL
330000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
251040.00%291741.38%3
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
4747360213100
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
487960.76%449247.83%5312044.17%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13684126529648


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
2 - 2019-10-057Penguins3Devils5WSommaire du Match
4 - 2019-10-0721Devils4Penguins5LSommaire du Match
5 - 2019-10-0828Devils5Sound Tigers6LSommaire du Match
9 - 2019-10-1245Sound Tigers3Devils5WSommaire du Match
12 - 2019-10-1560Phantoms8Devils0LSommaire du Match
14 - 2019-10-1773Devils6Crunch3WSommaire du Match
16 - 2019-10-1984Bruins-Devils-
18 - 2019-10-2197Devils-Bears-
19 - 2019-10-22107Bears-Devils-
21 - 2019-10-24116Devils-Monsters-
24 - 2019-10-27132Crunch-Devils-
25 - 2019-10-28144Devils-Heat-
28 - 2019-10-31155Monsters-Devils-
29 - 2019-11-01161Devils-Phantoms-
32 - 2019-11-04175Sound Tigers-Devils-
36 - 2019-11-08197Devils-Marlies-
37 - 2019-11-09203Senateurs-Devils-
41 - 2019-11-13222Rampages-Devils-
43 - 2019-11-15231Devils-Barracuda-
46 - 2019-11-18246Blacknight-Devils-
48 - 2019-11-20258Devils-Phantoms-
50 - 2019-11-22268Devils-Reigh-
51 - 2019-11-23274Sound Tigers-Devils-
54 - 2019-11-26288Devils-Wolves-
56 - 2019-11-28300Heat-Devils-
58 - 2019-11-30312Devils-Sound Tigers-
60 - 2019-12-02322Devils-Bruins-
61 - 2019-12-03328Phantoms-Devils-
64 - 2019-12-06345Wolves-Devils-
66 - 2019-12-08357Devils-Sound Tigers-
68 - 2019-12-10369Devils-Heat-
70 - 2019-12-12376Barracuda-Devils-
73 - 2019-12-15392Stars-Devils-
75 - 2019-12-17399Devils-Bruins-
77 - 2019-12-19409Devils-Rocket-
79 - 2019-12-21421Devils-Condors-
80 - 2019-12-22426Moose-Devils-
83 - 2019-12-25447Monsters-Devils-
85 - 2019-12-27460Devils-Marlies-
86 - 2019-12-28469Icedogs-Devils-
88 - 2019-12-30481Devils-Rocket-
91 - 2020-01-02491Devils-Crunch-
93 - 2020-01-04497Devils-Admirals-
94 - 2020-01-05503Condors-Devils-
97 - 2020-01-08522Devils-Gulls-
98 - 2020-01-09526Senateurs-Devils-
103 - 2020-01-14548Thunderbird-Devils-
105 - 2020-01-16557Devils-Bears-
107 - 2020-01-18570Thunderbird-Devils-
110 - 2020-01-21586Devils-Blacknight-
111 - 2020-01-22594Crunch-Devils-
116 - 2020-01-27614Monsters-Devils-
119 - 2020-01-30630Devils-Rampages-
120 - 2020-01-31639Rocket-Devils-
122 - 2020-02-02651Devils-Moose-
124 - 2020-02-04663Rocket-Devils-
126 - 2020-02-06675Devils-Stars-
129 - 2020-02-09688Phantoms-Devils-
130 - 2020-02-10698Devils-Bears-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
133 - 2020-02-13709Admirals-Devils-
136 - 2020-02-16728Bruins-Devils-
138 - 2020-02-18738Devils-Phantoms-
142 - 2020-02-22753Gulls-Devils-
144 - 2020-02-24763Devils-Thunderbird-
146 - 2020-02-26775Bruins-Devils-
148 - 2020-02-28789Devils-Monsters-
150 - 2020-03-01797Devils-Penguins-
152 - 2020-03-03806Reigh-Devils-
154 - 2020-03-05816Devils-Monsters-
156 - 2020-03-07826Devils-Barracuda-
158 - 2020-03-09833Devils-Senateurs-
159 - 2020-03-10838Crunch-Devils-
161 - 2020-03-12851Devils-Senateurs-
164 - 2020-03-15860Devils-Thunderbird-
165 - 2020-03-16863Penguins-Devils-
167 - 2020-03-18871Devils-Penguins-
169 - 2020-03-20886Penguins-Devils-
173 - 2020-03-24911Marlies-Devils-
177 - 2020-03-28930Marlies-Devils-
182 - 2020-04-02952Bears-Devils-
185 - 2020-04-05962Devils-Icedogs-
189 - 2020-04-09981Bears-Devils-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
266,895$ 2,248,400$ 2,205,900$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 176,580$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 176 17,793$ 3,131,568$




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
3633000002528-3321000001014-431200000151416254974002131001304747360153545882251040.00%291741.38%3487960.76%449247.83%5312044.17%13684126529648
Total Saison Régulière633000002528-3321000001014-431200000151416254974002131001304747360153545882251040.00%291741.38%3487960.76%449247.83%5312044.17%13684126529648
Séries
2514000002841-13211000001415-1303000001426-122285280105121012236886645233796569341544.12%261542.31%24814932.21%3710335.92%4112433.06%12687106437633
Total Séries514000002841-13211000001415-1303000001426-122285280105121012236886645233796569341544.12%261542.31%24814932.21%3710335.92%4112433.06%12687106437633