Griffins

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Steven Murphy | Morale : 50 | Moyenne d'Équipe : 63
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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
1Matt MartinX100.00995875817569815351505764557281050720
2Patrick EavesX100.00723595836176415651456962658785047690
3Frederik GauthierX100.00723893808465705162485362525466046680
4Jori LehteraX100.00613590827066575162485468537877050670
5Mario KempeX100.00733493855764544955445370527578050660
6Jannik HansenX100.00543693846360445245485565548178050650
7Nick ShoreX100.00563294846262525055475364526368050640
8Jimmy HayesX100.00583594837759434945445356537271047640
9Chris VandeVeldeX100.00553295856356434743425163517874047630
10Carl Grundstrom (R) (C)X100.00583495836260254847415561534860050600
11Nathan Beaulieu (A)X100.00684783856372695849605768556374050720
12Luke SchennX100.00904490807065585150495175517280050710
13Justin FalkX100.00823992817763424950485166507579050690
14Kyle QuinceyX100.00563494826661415051485363528479050660
15Steven KampferX100.00663892835665385150485562577576050650
16Zach TrotmanX100.00503295817174254849465058506969050630
17Dillon Heatherington (R)X100.00473395807551254848465057505460050600
18Cameron SchillingX100.00463195865751254750465057507571050600
Rayé
1Emerson EtemX100.00493295816853304642415155516364050590
2Joseph BlandisiX100.00503695845658294749425156515762050590
3Teemu PulkkinenX100.00453195845353274642415156516364050580
4Morgan Klimchuk (R)X100.00453095855750254540405055505459050570
5Colin Blackwell (R)X100.00483395835356254549405055506062050570
6Sebastian Aho D (R)X100.00453095864550254547455055505158050560
MOYENNE D'ÉQUIPE100.0060369383646141494946536152687104964
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
1Edward Pasquale100.0073257779696973737165576962050670
2Kaden Fulcher (R)100.0070256670756266707265573745039640
Rayé
1Tyler Bunz (R)100.0060257176596060606065556153050580
2Ken Appleby (R)100.0060257979566060606065554947050570
MOYENNE D'ÉQUIPE100.006625737665636566666556545204762
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominic Ducharme82726978697279CAN4631,100,000$


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
Cameron SchillingGriffins (DET)D321988-01-01No182 Lbs6 ft2NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$Lien
Carl GrundstromGriffins (DET)RW231997-01-01Yes201 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$No
Chris VandeVeldeGriffins (DET)C331987-01-01No190 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$
Colin BlackwellGriffins (DET)C271993-01-01Yes190 Lbs5 ft9NoNoNo1Pro & Farm700,000$0$0$No
Dillon HeatheringtonGriffins (DET)D251995-01-01Yes225 Lbs6 ft4NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Edward PasqualeGriffins (DET)G301990-01-01No215 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
Emerson EtemGriffins (DET)LW281992-01-01No212 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$No
Frederik GauthierGriffins (DET)C251995-01-01No235 Lbs6 ft5NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien NHL
Jannik HansenGriffins (DET)RW341986-01-01No198 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien NHL
Jimmy HayesGriffins (DET)RW311989-01-01No215 Lbs6 ft5NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien NHL
Jori LehteraGriffins (DET)C331987-01-01No212 Lbs6 ft2NoNoNo4Pro & Farm950,000$0$0$No950,000$950,000$950,000$Lien NHL
Joseph BlandisiGriffins (DET)C261994-01-01No187 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien NHL
Justin FalkGriffins (DET)D321988-01-01No223 Lbs6 ft5NoNoNo4Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$1,100,000$Lien / Lien NHL
Kaden FulcherGriffins (DET)G221998-01-01Yes182 Lbs6 ft2NoNoNo3Pro & Farm1,999,999$0$0$No1,999,999$1,999,999$
Ken ApplebyGriffins (DET)G251995-01-01Yes210 Lbs6 ft4NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien NHL
Kyle QuinceyGriffins (DET)D351985-01-01No216 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien / Lien NHL
Luke SchennGriffins (DET)D311989-01-01No221 Lbs6 ft2NoNoNo4Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$Lien / Lien NHL
Mario KempeGriffins (DET)RW321988-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$NoLien NHL
Matt MartinGriffins (DET)LW311989-01-01No220 Lbs6 ft3NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien NHL
Morgan KlimchukGriffins (DET)LW251995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien NHL
Nathan BeaulieuGriffins (DET)D281992-01-01No200 Lbs6 ft2NoNoNo1Farm Only1,750,000$0$0$NoLien / Lien NHL
Nick ShoreGriffins (DET)C281992-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm975,000$0$0$NoLien NHL
Patrick EavesGriffins (DET)RW361984-01-01No203 Lbs5 ft11NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$Lien NHL
Sebastian Aho DGriffins (DET)D241996-01-01Yes170 Lbs5 ft10NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$Lien
Steven KampferGriffins (DET)D321988-01-01No198 Lbs5 ft11NoNoNo4Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$1,200,000$Lien / Lien NHL
Teemu PulkkinenGriffins (DET)LW281992-01-01No185 Lbs5 ft10NoNoNo4Pro & Farm600,000$0$0$No600,000$600,000$600,000$
Tyler BunzGriffins (DET)G281992-01-01Yes205 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Zach TrotmanGriffins (DET)D301990-01-01No217 Lbs6 ft3NoNoNo1Pro & Farm1,100,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2829.07203 Lbs6 ft12.25923,214$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt MartinFrederik GauthierPatrick Eaves40122
2Nick ShoreMario Kempe30122
3Chris VandeVeldeJannik Hansen20122
4Jimmy Hayes10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nathan BeaulieuLuke Schenn40122
2Justin FalkKyle Quincey30122
3Steven KampferZach Trotman20122
4Nathan BeaulieuLuke Schenn10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt MartinFrederik GauthierPatrick Eaves60122
2Nick ShoreMario Kempe40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nathan BeaulieuLuke Schenn60122
2Justin FalkKyle Quincey40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt MartinPatrick Eaves60122
2Frederik GauthierMario Kempe40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nathan BeaulieuLuke Schenn60122
2Justin FalkKyle Quincey40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matt Martin60122Nathan BeaulieuLuke Schenn60122
2Patrick Eaves40122Justin FalkKyle Quincey40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt MartinPatrick Eaves60122
2Frederik GauthierMario Kempe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nathan BeaulieuLuke Schenn60122
2Justin FalkKyle Quincey40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt MartinFrederik GauthierPatrick EavesNathan BeaulieuLuke Schenn
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt MartinFrederik GauthierPatrick EavesNathan BeaulieuLuke Schenn
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jannik Hansen, Jimmy Hayes, Chris VandeVeldeJannik Hansen, Jimmy HayesChris VandeVelde
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Steven Kampfer, Zach Trotman, Justin FalkSteven KampferZach Trotman, Justin Falk
Tirs de Pénalité
Matt Martin, Patrick Eaves, Frederik Gauthier, Mario Kempe, Jannik Hansen
Gardien
#1 : Edward Pasquale, #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 Billets4020
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
39 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,585,000$ 2,585,000$ 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$ 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
1178333004227239230939171402114119117239161602113120113766239389628243188114112395609792960662240720733142629812943.29%33713061.42%3786160449.00%774160448.25%560116148.23%168195416217411437696
128243280125327921267412014012221371102741231400031142102408627945072913411091237290480710101068472567830663170934115545.45%30110963.79%4964188551.14%963185751.86%655120654.31%1815105516937391456736
13824218053104266206604118905252134993541249001521321072584266430696013811210123283881910429261102560906402151732214043.48%1977959.90%31020185754.93%999183154.56%666124053.71%1802103817257411485758
148243240228324818365412311012401338845412013010431159520862483976451235109941628797671087989742497804652157229914147.16%30410864.47%0950195048.72%931190948.77%599115551.86%1802105317047581473724
1582372702286255220354119150004312711017411812022431281101874255405660033410610519276067210449981042533868450144230712741.37%2217964.25%2954175254.45%837156953.35%646119254.19%1758100817657371471743
168240260544325820949412310013131379641411716041301211138802584066640635104110132707747954978542459848639161133414844.31%3039767.99%1981175755.83%923162956.66%696123156.54%1781101717657171435745
1782392605246289231584119150211312811612412011031331611154678289477766453811412816297688810061044772418858449130833316549.55%2209158.64%21139191459.51%778140355.45%749132656.49%1858113517027301416699
1882313504255245265-2041131804132131155-2441181700123114110462245420665223096110122696766947938752660923582133829513746.44%27613252.17%2753170044.29%697157444.28%592129245.82%1727103618477491410672
1982333201565235233241161700431107108-1411715011341281253662353826171226961061127507261018970792547915509165729112342.27%25710559.14%4963177454.28%858162852.70%670125353.47%1831106417367061422736
207830320144724222220391514003161171051239151801131125117860242392634213910098122479713935807632403855689154029013646.90%30811762.01%3907164755.07%849161552.57%637115455.20%160788417317211402698
Total Saison Régulière81237127803028564925562211345406183137016192526127011041664061881410149312312861107179742255641486704132934710341089140273847514983596787492488485275768151203110140145.05%2724104761.56%2494171784052.79%86091661951.80%64701221052.99%1766710249172937344144127211
Séries
11171070000044431844000002322196300000212102044691130051919154213818420911516197124378852832.94%622756.45%023943055.58%20342148.22%12022254.05%370202360165320161
1220101000000454321156000002323095400000222022045711160381718271121421225530576215144532772532.47%732664.38%029651757.25%24045153.22%12424850.00%470268401198388192
13251690000079601914950000037316117400000422913327912820700932344932275300318398102432125741095146.79%972970.10%035465054.46%32761952.83%18636151.52%579336524224444229
14231580000072581412102000003525101156000003733430721191910072339383024827027834706216178543813340.74%812667.90%225255445.49%24950349.50%16132948.94%524302466218425208
152316700000614417118300000281810128400000332673261991600161834371916125325154700229955221063936.79%461665.22%025655745.96%23349946.69%13827650.00%489252490231464241
162316700000614417118300000281810128400000332673261991600161834371916125325154700229955221063936.79%461665.22%025655745.96%23349946.69%13827650.00%489252490231464241
17624000001324-1131200000713-631200000611-54132336002560197646172018255527919631.58%261638.46%07814653.42%4510045.00%359536.84%13081130569945
1851400000821-132110000024-230300000617-11281523111430130453946015347556812325.00%261350.00%12410024.00%249325.81%217826.92%10367115508132
Total Séries14286560000038333746724626000001831542970403000000200183171723836231006164413618716478013061572168022243431431955321859522437.65%45716963.02%31755351149.99%1554318548.79%923188548.97%315617632979137726891353