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Wolves
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Steve Desbois | Morale : 50 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralSteve Desbois
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2Jacob Larsson


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 250
Espoirs15


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique396-284-55 (0.539%)
Apparitions en séries éliminatoires 5
Historique en séries éliminatoires (W-L)13-23
Coupe Stanley0


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
1Jonathan Dahlen (R)XX100.00563485746883797269667159766467050660221750,000$
2Maxim Mamin (R)XXX100.00733991678279756670656765686769050660251975,000$
3Fabian ZetterlundXX100.00663791677688876663686562676365050650211925,000$
4Noah Cates (R)X100.007234836571827566566769636862640506502121,137,500$
5MacKenzie EntwistleXX100.00774582648076816257646166626467050640211894,167$
6Sam LaffertyXX100.00884779647679835977635870616768050640251750,000$
7Thomas Novak (R)X100.00623788677384876479676361626567050640231925,000$
8Danny O'ReganXX100.00583594656878826273646163656970050630262750,000$
9Tyler BensonXX100.00713882627377786367615759626466050620221750,000$
10David GustafssonX100.00673893568079745776585962566364050610201925,000$
11Dominic TurgeonX100.00613988598076855862565761596669050610241750,000$
12Cole Koepke (R)XX100.00683170587795935962586057616466050610222925,000$
13Jacob Larsson (A)X100.006639856778848663306859745065670506502311,200,000$
14Chad RuhwedelX100.00773491637286845930675878507372050650303750,000$
15Jacob MoverareX100.00723991608582765930625665496466050620223750,000$
16Johnathan KovacevicX100.00734176598877845730585663456467050610231750,000$
17Frederic AllardX100.00623892597383765630575660476567050600222750,000$
18Cole HultsX100.006338845872698157305655545064660505902211,050,000$
Rayé
1Jack DuganX100.006835786177767360666358576264660506102211,562,500$
2Cameron Morrison (R)XX100.00663894588573695852565558576466050600221925,000$
3Grant Mismash (R)XX100.00633889537269865554565751546365050590212925,000$
4Jake McGrew (R)X100.00593878546981835559565853586365050580211855,000$
5Matej PekarXX100.00655362517473765256535455516264050570202913,333$
6Mason MillmanX100.00633979537262635530545053456163050560193870,000$
MOYENNE D’ÉQUIPE100.0067398461767980605561596158656705062
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 SPÂgeContratSalaire
1Eric Comrie100.0081888472807981807981806677050680251750,000$
2Daniil Tarasov100.0075727092747375747375746369050640214925,000$
Rayé
1Isaiah Saville (R)100.0072676876717072717072716267050630203849,667$
MOYENNE D’ÉQUIPE100.007676748075747675747675647105065
Nom de l’entraîneur 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
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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Cameron MorrisonWolves (VGK)C/LW221998-08-27Yes210 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien NHL
Chad RuhwedelWolves (VGK)D301990-05-07No191 Lbs5 ft11NoNoNo3Pro & Farm750,000$0$0$No800,000$800,000$Lien / Lien NHL
Cole HultsWolves (VGK)D221998-05-22No189 Lbs6 ft0NoNoNo1Pro & Farm1,050,000$0$0$NoLien / Lien NHL
Cole KoepkeWolves (VGK)LW/RW221998-05-17Yes196 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Daniil TarasovWolves (VGK)G211999-03-27No196 Lbs6 ft6NoNoNo4Pro & Farm925,000$0$0$No1,050,000$1,050,000$1,050,000$Lien / Lien NHL
Danny O'ReganWolves (VGK)C/LW261994-01-30No180 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
David GustafssonWolves (VGK)C202000-04-11No196 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Dominic TurgeonWolves (VGK)C241996-02-25No199 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Eric ComrieWolves (VGK)G251995-07-06No175 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Fabian ZetterlundWolves (VGK)C/RW211999-08-25No220 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Frederic AllardWolves (VGK)D221997-12-27No179 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Grant MismashWolves (VGK)C/LW211999-02-19Yes186 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Isaiah SavilleWolves (VGK)G202000-09-21Yes193 Lbs6 ft1NoNoNo3Pro & Farm849,667$0$0$No849,667$849,667$Lien NHL
Jack DuganWolves (VGK)LW221998-03-24No185 Lbs6 ft2NoNoNo1Pro & Farm1,562,500$0$0$NoLien / Lien NHL
Jacob LarssonWolves (VGK)D231997-04-29No190 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$0$0$NoLien / Lien NHL
Jacob MoverareWolves (VGK)D221998-08-31No210 Lbs6 ft3NoNoNo3Pro & Farm750,000$0$0$No762,500$762,500$Lien / Lien NHL
Jake McGrewWolves (VGK)RW211999-02-25Yes185 Lbs5 ft11NoNoNo1Pro & Farm855,000$0$0$NoLien NHL
Johnathan KovacevicWolves (VGK)D231997-07-12No208 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jonathan DahlenWolves (VGK)LW/RW221997-12-20Yes180 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
MacKenzie EntwistleWolves (VGK)C/RW211999-07-14No184 Lbs6 ft3NoNoNo1Pro & Farm894,167$0$0$NoLien / Lien NHL
Mason MillmanWolves (VGK)D192001-07-18No175 Lbs6 ft1NoNoNo3Pro & Farm870,000$0$0$No870,000$870,000$Lien / Lien NHL
Matej PekarWolves (VGK)C/RW202000-02-10No185 Lbs6 ft1NoNoNo2Pro & Farm913,333$0$0$No913,333$Lien / Lien NHL
Maxim MaminWolves (VGK)C/LW/RW251995-01-13Yes206 Lbs6 ft2NoNoNo1Pro & Farm975,000$0$0$NoLien NHL
Noah CatesWolves (VGK)LW211999-02-05Yes165 Lbs6 ft1NoNoNo2Pro & Farm1,137,500$0$0$No1,137,500$Lien NHL
Sam LaffertyWolves (VGK)C/LW251995-03-06No195 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Thomas NovakWolves (VGK)C231997-04-28Yes179 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Tyler BensonWolves (VGK)LW/RW221998-03-15No190 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.41191 Lbs6 ft11.63899,340$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam Lafferty34113
2Danny O'Regan31023
3Tyler BensonDominic Turgeon22023
4David GustafssonFabian Zetterlund13122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
130122
2Jacob Larsson30122
3Frederic AllardJacob Moverare25122
415122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam Lafferty60005
2David GustafssonDanny O'Regan40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160005
2Jacob Larsson40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1David Gustafsson60041
2Dominic TurgeonDanny O'Regan40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160131
2Jacob Larsson40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16005060050
2David Gustafsson40050Jacob Larsson40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Danny O'Regan60023
2Sam Lafferty40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Jacob Larsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam LaffertyFrederic Allard
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam LaffertyDanny O'Regan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Tyler Benson,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Frederic Allard, , Jacob LarssonFrederic Allard, Jacob Larsson
Tirs de pénalité
, , , Sam Lafferty,
Gardien
#1 : , #2 : Eric Comrie


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
TotalDomicileVisiteur
# 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 pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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 matchs 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
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,428,217$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




TotalDomicileVisiteur
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
281283900455246281-3541141800243118137-1940142100212128144-1675246434680010907873251008058408312673754104316343426619.30%3928179.34%21406265253.02%1381273250.55%679133051.05%1882127419836241058514
382492502330258160984128901120147767141211601210111842711125845070831101166869300309781024985234271185015753816216.27%3494886.25%01792306958.39%1484274154.14%650115356.37%2139151117755921032538
482313701265229225441211201052135101344110250021394124-3083229401630030876966270208878809172681825161220065318015.07%6729985.27%61621298154.38%1536319348.11%626120851.82%1933128020026621047517
582274004506249274-2541132103202130137-741141901304119137-1873249380629240100717429180928986965329198031619082084421.15%1373772.99%01038263339.42%1001299533.42%480129537.07%184913592173536942449
68232370217328727512411816020321491321741142100141138143-586287475762430107937833980106010741214350699837019532095224.88%1592783.02%31703300156.75%1695335750.49%736137853.41%196314452036552977474
7823832033422872365141211401230161120414117180211212611610952875017881501209169297009731044933301885443820652104822.86%1953383.08%21434282450.78%1406303446.34%634127949.57%213315671843540985508
88243220211043612061554120110115317910376412311010511821037911536165310141701501059434660108912131133248967841618061753419.43%1802685.56%61773298059.50%1447257656.17%789136657.76%236517721633510997539
98145230413533523510041221103113169120494023120102216611551110335611946160136939932000102110801072247277051518801914825.13%2273982.82%51765295959.65%1512264957.08%802135659.14%2229162716655391012533
10823929032542912405141211402022152117354118150123213912316100291525816549310288132970918103899060246474638518671955025.64%1763082.95%31774304558.26%1491266056.05%730132155.26%2226161517105481035545
Total Saison régulière7363322840212243342543213241136917812601492517134010432973671541580713181712031089114848254344306973174493100875663527137918877991318110249367316594516694244248419.82%248742083.11%27143062614454.72%129532593749.94%61261168652.42%187231345516823510790894620
Séries éliminatoires
2514000001427-1320200000612-631200000815-72142640000671153051614117453969325312.00%28871.43%09316058.13%7614153.90%458552.94%11478122386330
384400000222114220000012120422000001091822375901058925008073852698510614544920.45%41685.37%013428047.86%12030239.74%6212549.60%1901262116410752
8734000001721-432100000107341300000714-761731481006552130636780259726013820315.00%29486.21%012024948.19%13826651.88%439744.33%167114164528844
91147000003233-16330000016142514000001619-383258900101489390014912611336511272257341132.35%36877.78%022640755.53%22340055.75%9517753.67%2741962497813769
10514000001618-22110000096330300000712-521628441042100166555356214737169417423.53%7271.43%09217054.12%9115757.96%398545.88%13295105336432
Total Séries éliminatoires36132300000101120-191789000005351219514000004869-212610118028122433382411725539638332112143593507271403021.43%1412880.14%0665126652.53%648126651.18%28456949.91%880610853268459228