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Wolf Pack
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Renaud Meunier | Morale : 50 | Moyenne d’équipe : 61
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralRenaud Meunier
DivisionAtlantique
ConférenceEst
CapitaineCal O'Reilly
Assistant #1Jesse Ylonen
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 250
Espoirs32


Historique d'équipe

Saison actuelle0-0
Historique389-221-43 (0.596%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)21-23
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
1Daniel CarrXX100.00673789667275776361656462667868050640281700,000$
2Jesper BoqvistXXX100.00673593667087826467636557626564050640212925,000$
3Cal O'Reilly (C)X100.00633690627381866275675658618581050640341700,000$
4Connor BunnamanXX100.00813595627973666372626158626563050630221790,000$
5Glenn GawdinXX100.00733595627671756474655962646764050630231700,000$
6David KaseXXX100.00553595626672736361616160646765050620231850,000$
7Garrett PilonX100.00503595627284726276626163596563050620221894,166$
8Jesse Ylonen (R) (A)X100.00503595656874736358616263646365050620213925,000$
9William Lockwood (R)X100.00814371576776715855596061586563050610222925,000$
10Jonathan DavidssonX100.00583595597063666156605859616764050600231850,000$
11Emile PoirierXXX100.00715670588082875653555756547367050600251700,000$
12Joe HickettsX100.00783689686489826730666165536972050650241700,000$
13Tarmo Reunanen (R)X100.00583595667172796530685766536566050630222925,000$
14Tyler WotherspoonX100.00734680618278835830595263467571050620271700,000$
15Guillaume BriseboisX100.00503595607572705930595664486764050600231700,000$
16Chris BreenX100.00906457539972775330545061487972050600311700,000$
Rayé
1Hunter ShinkarukXXX100.00583592556760655756545853577367050590251650,000$
2Igor ShvyrevX100.00683690527781865254515554586563050580221925,000$
3Nikita Okhotiuk (R)X100.00715964577874795630585459466161050590191700,000$
4Jeremy RoyX100.00645471557365705330555154456764050570231863,333$
5Jesper LindgrenX100.00583788546763685430585253456764050570231925,000$
MOYENNE D’ÉQUIPE100.0066418660747476605060586056696605061
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
1Kirill Ustimenko100.0065696781646365646365646367050590212925,000$
2Dylan Garand (R)100.0062757970616062616062616264050570181700,000$
Rayé
MOYENNE D’ÉQUIPE100.006472737663626463626463636605058
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
Cal O'ReillyWolf Pack (NYR)C341986-09-30No188 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Chris BreenWolf Pack (NYR)D311989-06-29No226 Lbs6 ft7NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Connor BunnamanWolf Pack (NYR)C/LW221998-04-16No207 Lbs6 ft1NoNoNo1Pro & Farm790,000$0$0$NoLien / Lien NHL
Daniel CarrWolf Pack (NYR)LW/RW281991-11-01No186 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
David KaseWolf Pack (NYR)C/LW/RW231997-01-28No169 Lbs5 ft11NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Dylan GarandWolf Pack (NYR)G182002-06-07Yes173 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Emile PoirierWolf Pack (NYR)C/LW/RW251994-12-14No196 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Garrett PilonWolf Pack (NYR)C221998-04-13No190 Lbs6 ft0NoNoNo1Pro & Farm894,166$0$0$NoLien / Lien NHL
Glenn GawdinWolf Pack (NYR)C/RW231997-03-25No191 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Guillaume BriseboisWolf Pack (NYR)D231997-07-21No175 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Hunter ShinkarukWolf Pack (NYR)C/LW/RW251994-10-13No181 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Igor ShvyrevWolf Pack (NYR)C221998-07-10No200 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Jeremy RoyWolf Pack (NYR)D231997-05-14No195 Lbs6 ft0NoNoNo1Pro & Farm863,333$0$0$NoLien / Lien NHL
Jesper BoqvistWolf Pack (NYR)C/LW/RW211998-10-30No180 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Jesper LindgrenWolf Pack (NYR)D231997-05-19No165 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Jesse YlonenWolf Pack (NYR)RW211999-10-03Yes167 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Joe HickettsWolf Pack (NYR)D241996-05-04No180 Lbs5 ft8NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jonathan DavidssonWolf Pack (NYR)RW231997-03-12No185 Lbs5 ft11NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Kirill UstimenkoWolf Pack (NYR)G211999-01-29No187 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Nikita OkhotiukWolf Pack (NYR)D192000-12-04Yes197 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Tarmo ReunanenWolf Pack (NYR)D221998-03-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Tyler WotherspoonWolf Pack (NYR)D271993-03-12No207 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
William LockwoodWolf Pack (NYR)RW221998-06-20Yes172 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2323.57187 Lbs6 ft01.26798,804$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper BoqvistCal O'ReillyGlenn Gawdin40122
2Daniel CarrConnor BunnamanJesse Ylonen30122
3Emile PoirierDavid KaseWilliam Lockwood20122
4Garrett PilonJonathan Davidsson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe HickettsTyler Wotherspoon40122
2Guillaume Brisebois30122
3Chris BreenTarmo Reunanen20122
4Joe HickettsTyler Wotherspoon10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper BoqvistCal O'ReillyGlenn Gawdin60122
2Daniel CarrGlenn GawdinJesse Ylonen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe HickettsTyler Wotherspoon60122
2Guillaume Brisebois40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cal O'ReillyJesper Boqvist60122
2Glenn GawdinDaniel Carr40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe HickettsTyler Wotherspoon60122
2Guillaume Brisebois40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cal O'Reilly60122Joe HickettsTyler Wotherspoon60122
2Glenn Gawdin40122Guillaume Brisebois40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cal O'ReillyJesper Boqvist60122
2Glenn GawdinDaniel Carr40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe HickettsTyler Wotherspoon60122
2Guillaume Brisebois40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistCal O'ReillyGlenn GawdinJoe HickettsTyler Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistCal O'ReillyGlenn GawdinJoe HickettsTyler Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Bunnaman, David Kase, Jesse YlonenConnor Bunnaman, David KaseConnor Bunnaman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Guillaume Brisebois, Chris Breen, Tarmo ReunanenGuillaume BriseboisGuillaume Brisebois, Chris Breen
Tirs de pénalité
Jesper Boqvist, Daniel Carr, Cal O'Reilly, Glenn Gawdin, Connor Bunnaman
Gardien
#1 : Kirill Ustimenko, #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
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$ 1,837,250$ 345,917$ 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$ 8 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
3823333024552222041841181402241121992241151900214101105-48922238360538081656924990792835846262080589415963205216.25%3755784.80%31285262848.90%1343283847.32%574122446.90%1948132519776251057522
4824724013342601897141268011321358946412116002021251002510926047873838096857530730996961108623477001429189559710016.75%5659283.72%61932328858.76%1650284857.94%754125660.03%2132146517976311037536
58247200316530419910541241000043162103594123100312214296461183045458493801159585300209589471058201660060719022285725.00%2685081.34%21780298859.57%1251221956.38%776128860.25%2299167216675391018543
682552201121356216140412613010101701096141299001111861077911835664410000301541148536710119413041166275876564821222003819.00%2784783.09%41982326760.67%1724301857.12%794132959.74%2138153517805651023529
782422801362309214954123110124016499654119170012214511530103309544853280115929533730107411451123300788459623291894121.69%2555080.39%61620312151.91%1514313448.31%681134450.67%2100149318345611035535
88246260034335922613341278002221859194411918001211741353910635966210212701521049937330124012301240251775445320201663018.07%2074379.23%51895316359.91%1580270558.41%795133559.55%230117091671515991530
9823434043433152625341162001121149128214118140322216613432903155628773301208510231770101510741056295582448919962175525.35%1984975.25%31753309756.60%1582298553.00%730137952.94%2097151518575551017519
1082373404124302269334121140111315312132411620030111491481913025548560310310291830831029996103249281677344619812045627.45%2044776.96%21599305752.31%1492288151.79%688135850.66%2024143219045781034523
Total Saison régulière6563412210161932272427177964832818198079211212398394003281601230910111511889402488242427437267991648103935731618256111029826585287624210366105556215841212142920.23%235043581.49%31138462460956.26%121362262853.63%57921051355.09%170421214914490457382144241
Séries éliminatoires
41275000003023752300000111107520000019127143055850201559365010710314635899182304961616.67%791383.54%225246154.66%24344254.98%8817051.76%2891882979916081
5514000001318-53120000079-22020000069-321325381000751510545142148404511017211.76%17382.35%010417260.47%7915451.30%398346.99%13194110356533
6844000002229-7422000001016-6422000001213-182237590006942520859060331847224425520.00%34682.35%012428443.66%15634345.48%5514039.29%1871242166511456
8199100000064613835000002426-21165000004035518641181820002614226980233217240654208130463511121.57%52492.31%039572154.79%35869951.22%16530853.57%451313466140244118
Total Séries éliminatoires44212300000129131-220812000005262-1024131100000776984212923536412047354014660479461488149143142911211893417.99%1822685.71%2875163853.42%836163851.04%34770149.50%10607211091342585289