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LHSRSM


Americans
GP: 3 | W: 2 | L: 1
GF: 9 | GA: 7 | PP%: 0.00% | PK%: 87.50%
DG: Hugo Ste-Marie | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #25 vs Phantoms
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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 SPÂgeContratSalaire
1Cole SchneiderX100.00654789638086876265616164627870050640291650,000$
2Sam SteelX100.00563985677079736683706461676364043640212863,333$
3Pontus AbergXX100.00594383667375726558636461667367050640261700,000$
4Markus HannikainenX100.00643986627780786354606059637367050630261750,000$
5Riley BarberX100.00614786637577736457616259647166050630251700,000$
6Eeli TolvanenXX100.005742836369807961535960626561630586102023,115,000$
7Joe VelenoX100.006345856277848759715556635862640506101931,243,750$
8Patrick BrownX100.00664387597577745762586156597568050610272700,000$
9Daniel AudetteX100.00554985616488905971605754616764050600231650,000$
10Jakob StukelX100.00563984577175725653555859566563040590221650,000$
11Carl GunnarssonX100.005741876380857362306760815284740746603221,750,000$
12Victor MeteX100.00543889686782846730715968506365049640211870,000$
13Christian FolinX100.00784685608775695830595764537769050630281800,000$
14Gustav ForslingX100.00594287657278716330646261556764050630231874,125$
15Xavier OuelletX100.00644389637681726230615864557376050630261700,000$
16Adam ClendeningX100.00595081637281776230645863547568050630262700,000$
17Ville Heinola (R)X100.005739906568727563306455575159600506101831,137,500$
Rayé
1Sam VigneaultX100.00664989568187885862545557566965050600241650,000$
2Zach TrotmanX100.00674685608776675830595761557868050620292700,000$
3Chris WidemanX100.00574584616876715930625857547870050610291700,000$
MOYENNE D'ÉQUIPE100.0061448662748077614861596258716705162
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
1J-F Berube100.0071898773706971706971707783050640
Rayé
MOYENNE D'ÉQUIPE100.007189877370697170697170778305064
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Pontus AbergAmericans (BUF)LW/RW331422057315169.68%17023.6100056000080062.50%2400001.1300000000
2Christian FolinAmericans (BUF)D321312010643350.00%63812.700000000000000.00%000001.5700000001
3Daniel AudetteAmericans (BUF)C3123-10059104610.00%45618.8400000000001058.06%3100001.0600000000
4Gustav ForslingAmericans (BUF)D312320012183612.50%136220.840004700008100.00%000000.9600000010
5Cole SchneiderAmericans (BUF)LW312322066192165.26%16120.6100036000020050.00%1200000.9700000100
6Riley BarberAmericans (BUF)RW30332757810390.00%14715.7800015000010033.33%600001.2700001001
7Patrick BrownAmericans (BUF)C31122208414467.14%05919.8400016000000042.17%8300000.6700000010
8Adam ClendeningAmericans (BUF)D30222405114200.00%45618.900003600004000.00%000000.7100000000
9Markus HannikainenAmericans (BUF)LW3011-1004312340.00%14314.63000010000000100.00%100000.4600000000
10Xavier OuelletAmericans (BUF)D3000200432360.00%65819.370000600006000.00%000000.0000000000
11Ville HeinolaAmericans (BUF)D3000-200900020.00%3206.930000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne339152411195755811432747.89%4057617.4600017470000312049.04%15700000.8300001122
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
1J-F BerubeAmericans (BUF)32100.9502.331802071400000.000030100
Stats d'équipe Total ou en Moyenne32100.9502.331802071400000.000030100


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 Cap 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
Adam ClendeningAmericans (BUF)D261992-10-26No189 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Carl GunnarssonAmericans (BUF)D321986-11-09No198 Lbs6 ft2NoNoNo2Pro & Farm1,750,000$0$0$No1,750,000$Lien / Lien NHL
Chris WidemanAmericans (BUF)D291990-01-07No190 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Christian FolinAmericans (BUF)D281991-02-09No204 Lbs6 ft4NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Cole SchneiderAmericans (BUF)LW291990-08-26No199 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Daniel AudetteAmericans (BUF)C231996-05-06No176 Lbs5 ft8NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Eeli TolvanenAmericans (BUF)LW/RW201999-04-22No191 Lbs5 ft10NoNoNo2Pro & Farm3,115,000$0$0$No3,115,000$Lien / Lien NHL
Gustav ForslingAmericans (BUF)D231996-06-12No186 Lbs6 ft0NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
J-F BerubeAmericans (BUF)G281991-07-13No177 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jakob StukelAmericans (BUF)LW221997-03-06No182 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Joe VelenoAmericans (BUF)C192000-01-13No198 Lbs6 ft1NoNoNo3Pro & Farm1,243,750$0$0$No1,243,750$1,243,750$Lien
Markus HannikainenAmericans (BUF)LW261993-03-26No200 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Patrick BrownAmericans (BUF)C271992-05-29No214 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Pontus AbergAmericans (BUF)LW/RW261993-09-23No194 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Riley BarberAmericans (BUF)RW251994-02-07No203 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Sam SteelAmericans (BUF)C211998-02-03No189 Lbs5 ft11NoNoNo2Pro & Farm863,333$0$0$No863,333$Lien / Lien NHL
Sam VigneaultAmericans (BUF)C241995-09-07No202 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Victor MeteAmericans (BUF)D211998-06-07No187 Lbs5 ft9NoNoNo1Pro & Farm870,000$0$0$NoLien / Lien NHL
Ville HeinolaAmericans (BUF)D182001-03-02Yes178 Lbs5 ft11NoNoNo3Pro & Farm1,137,500$0$0$No1,137,500$1,137,500$
Xavier OuelletAmericans (BUF)D261993-07-29No193 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Zach TrotmanAmericans (BUF)D291990-08-26No217 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2124.86194 Lbs6 ft01.48933,510$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pontus AbergRiley Barber30122
2Cole SchneiderPatrick Brown30122
3Markus HannikainenDaniel Audette25122
4Pontus AbergDaniel Audette15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav Forsling30122
2Xavier OuelletAdam Clendening30122
3Christian Folin25122
4Ville Heinola15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pontus AbergRiley Barber60122
2Cole SchneiderPatrick Brown40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav Forsling60122
2Xavier OuelletAdam Clendening40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Pontus Aberg60122
2Cole SchneiderRiley Barber40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav Forsling60122
2Xavier OuelletAdam Clendening40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Pontus Aberg60122Gustav Forsling60122
240122Xavier OuelletAdam Clendening40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Pontus Aberg60122
2Cole SchneiderRiley Barber40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav Forsling60122
2Xavier OuelletAdam Clendening40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pontus AbergRiley BarberGustav Forsling
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pontus AbergRiley BarberGustav Forsling
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Markus Hannikainen, , Markus Hannikainen,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Folin, , Christian Folin,
Tirs de Pénalité
Pontus Aberg, , Cole Schneider, Riley Barber, Markus Hannikainen
Gardien
#1 : J-F Berube, #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
1Phantoms32100000972110000002112110000076140.667915240032401143839370140432178700.00%8187.50%04811342.48%4914633.56%94221.43%583985213517
Total32100000972110000002112110000076140.667915240032401143839370140432178700.00%8187.50%04811342.48%4914633.56%94221.43%583985213517
_Since Last GM Reset32100000972110000002112110000076140.667915240032401143839370140432178700.00%8187.50%04811342.48%4914633.56%94221.43%583985213517
_Vs Conference32100000972110000002112110000076140.667915240032401143839370140432178700.00%8187.50%04811342.48%4914633.56%94221.43%583985213517

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
34W19152411414043217800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
321000097
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000021
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000076
Derniers 10 Matchs
WLOTWOTL SOWSOL
210000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
700.00%8187.50%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
38393703240
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
4811342.48%4914633.56%94221.43%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
583985213517


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 - 2021-04-061Americans5Phantoms1WSommaire du Match
3 - 2021-04-089Americans2Phantoms5LSommaire du Match
5 - 2021-04-1017Phantoms1Americans2WSommaire du Match
7 - 2021-04-1225Phantoms-Americans-
9 - 2021-04-1433Americans-Phantoms-
11 - 2021-04-1641Phantoms-Americans-
13 - 2021-04-1849Americans-Phantoms-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,960,370$ 762,916$ 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$ 8 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
282215202115252359-10741112501112123177-5441102701003129182-5342252429681219785677271789787392843280781184314393416117.89%3289172.26%01475271654.31%1210237650.93%803141956.59%1969139119635851024502
382244702135211322-11141132202004111156-4541112500131100166-66482113675782384794362564842845833704306122162713782834014.13%2545677.95%1964238640.40%1235365333.81%475126937.43%14259642598617944400
4824626011532451816441241200041132914141221401112113902392245441686061047263927919209548945924037401219169358511920.34%5087784.84%61629312452.14%1473298149.41%582115950.22%2042139718996391019514
5824033021512632006341201802001131105264120150015013295378026337563821097788172888929941100140313888934919242224018.02%1413873.05%0886268732.97%1020319231.95%401118633.81%198314592032534942465
68231400332328927415411816021221701343641132401201119140-2162289531820421121066693259103511021095574009115743121881903719.47%1903482.11%21201285442.08%1345380635.34%504130438.65%174312282263570956453
782116201323173361-188415320120177177-100416300012296184-88221733034761171514832765926901910465065138524121791883418.09%992376.77%0717253628.27%1121441725.38%312124225.12%13879372640579925403
8824631011123952611344129110001021012288411720011021851394692395684107954166145823377912791269121230306888334818811944925.26%1432880.42%31652302954.54%1453303547.87%755140853.62%211215751864519965497
8824631011123952611344129110001021012288411720011021851394692395684107954166145823377912791269121230306888334818811944925.26%1432880.42%31652302954.54%1453303547.87%755140853.62%211215751864519965497
98239310153331230210412211013311621214141172000202150181-31943125578692313094845331610751088110864313185435320271974824.37%1563776.28%01469304248.29%1265285744.28%680148545.79%2080150718625421023521
Total Saison Régulière73830435301417232725352521143691711580971212132612051213691331950510111512091316-107624253543716906233410278556165227858918292429193439309958823475916590239447719.92%196241279.00%15116452540345.84%115752935239.44%52671188044.34%168581203618988510987684255
Séries
41688000004045-5844000001820-2844000002225-3164072112011216111572190178191135581592673671402215.71%991782.83%027066140.85%21665832.83%7124528.98%38525939312819698
840400000719-1220200000510-52020000029-707132000232011831474002278025801218.33%10370.00%02812023.33%5022022.73%135822.41%6947123284719
93210000097211000000211211000007614915240032401143839370140432178700.00%8187.50%04811342.48%4914633.56%94221.43%583985213517
Total Séries231013000005671-151156000002531-61257000003140-92056100156011721171804259264268139252823135251592314.47%1172182.05%034689438.70%315102430.76%9334526.96%512346603178279134