hellpepitosKingspatriots

 

 


Casse-Tete

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Loupi Tessier-Parent | Morale : 50 | Moyenne d'Équipe : 66
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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
1Joel Armia0X100.00782467348067677435798269775745050720
2Andreas Johnsson0X100.00612361294564767839828561665343050710
3Andrei Svechnikov (R)0X100.00772843305868877634808458663241050710
4Oskar Sundqvist0X100.00782364397664777072798266645042050710
5Artturi Lehkonen0X100.00691064354575767236808174725636050710
6Andrew Copp0X100.00701273416958737072808268604939050700
7Nick Cousins0X100.00783059375362797068798155855749050700
8Matt Nieto0X100.00511073405567657041817676695734050690
9Noel Acciari0X100.00852965496559726366757959634250050670
10Michael Dal Colle0X100.00402379477056816231747955674549050660
11Peter Cehlarik0X100.00361368436758736132697857734934050640
12Isac Lundestrom (R)0X100.00332279604760815834677565673739050620
13Nick Paul0X100.00782871518637856139687748664649050620
14Zach Senyshyn (R)0X100.00292585665653835631647167683949050600
15A.J. Greer0X100.00803630607729805935697750673652050600
16Jordan Kyrou (R)0X100.00322173604144815943677657673741050600
17Janne Kuokkanen0X100.00271874595650825731657163714138050600
18Tony DeAngelo0X100.00563952424867768677877064754755051730
19Derek Forbort0X100.00653163488473777931827574625549036720
20Devon Toews (R)0X100.00501479425865858631857850664033048720
21Dennis Cholowski (R)0X100.00432267425766798479827753663440050710
22Ben Harpur0X100.00813457528660637729787368654550050680
23William Borgen0X100.00442782596360836731726959683141050650
24Jacob Middleton0X100.00343578607732836731727352684163050620
Rayé
1Dylan Gambrell0X100.00492872655841785835667360673545050590
2Kole Sherwood0X100.00422483646441835631647066683439050580
3Tyler Graovac0XX100.00343079708029755631647065665250050580
4Logan O'Connor0X100.00372683704329835631647058683345050560
5Urho Vaakanainen (R)0X100.00252083624930686731726952683938050580
MOYENNE D'ÉQUIPE100.0054246950635478674274766168444404965
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
1Anton Forsberg100.0084928680849089889078694963050810
2Pavel Francouz100.0080908074818087838951606375050780
Rayé
MOYENNE D'ÉQUIPE100.008291837783858886906565566905080
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
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
A.J. GreerCasse-Tete (CAP)LW221996-12-14No210 Lbs191 CMNoNoNo1Pro & Farm825,000$825,000$0$0$NoLien
Andreas JohnssonCasse-Tete (CAP)LW241994-11-21No181 Lbs178 CMNoNoNo0Pro & Farm0$0$NoLien
Andrei SvechnikovCasse-Tete (CAP)RW192000-03-26Yes195 Lbs188 CMNoNoNo1Pro & Farm3,575,000$3,575,000$0$0$NoLien
Andrew CoppCasse-Tete (CAP)LW251994-07-08No206 Lbs185 CMNoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien / Lien NHL
Anton ForsbergCasse-Tete (CAP)G261992-11-27No192 Lbs191 CMNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Artturi LehkonenCasse-Tete (CAP)LW241995-07-04No177 Lbs183 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Ben HarpurCasse-Tete (CAP)D241995-01-12No222 Lbs198 CMNoNoNo0Pro & Farm0$0$NoLien
Dennis CholowskiCasse-Tete (CAP)D211998-02-15Yes195 Lbs185 CMNoNoNo1Pro & Farm894,166$894,166$0$0$NoLien
Derek ForbortCasse-Tete (CAP)D271992-03-04No219 Lbs193 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Devon ToewsCasse-Tete (CAP)D251994-02-21Yes191 Lbs185 CMNoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Dylan GambrellCasse-Tete (CAP)C231996-08-26No195 Lbs183 CMNoNoNo0Pro & Farm0$0$NoLien
Isac LundestromCasse-Tete (CAP)RW191999-11-06Yes187 Lbs183 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Jacob MiddletonCasse-Tete (CAP)D231996-01-02No210 Lbs191 CMNoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Janne KuokkanenCasse-Tete (CAP)C211998-05-25No193 Lbs185 CMNoNoNo0Pro & Farm0$0$NoLien
Joel ArmiaCasse-Tete (CAP)RW261993-05-31No210 Lbs193 CMNoNoNo1Pro & Farm1,850,000$1,850,000$0$0$NoLien / Lien NHL
Jordan KyrouCasse-Tete (CAP)C211998-05-05Yes175 Lbs183 CMNoNoNo1Pro & Farm880,000$880,000$0$0$NoLien
Kole SherwoodCasse-Tete (CAP)RW221997-01-22No202 Lbs185 CMNoNoNo1Pro & Farm777,777$777,777$0$0$NoLien
Logan O'ConnorCasse-Tete (CAP)RW231996-08-14No175 Lbs183 CMNoNoNo1Pro & Farm1,137,500$1,137,500$0$0$NoLien
Matt NietoCasse-Tete (CAP)LW261992-11-05No190 Lbs180 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Michael Dal ColleCasse-Tete (CAP)LW231996-06-20No204 Lbs191 CMNoNoNo0Pro & Farm0$0$NoLien
Nick CousinsCasse-Tete (CAP)C261993-07-20No185 Lbs180 CMNoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien / Lien NHL
Nick PaulCasse-Tete (CAP)LW241995-03-20No230 Lbs193 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Noel AcciariCasse-Tete (CAP)C271991-12-01No205 Lbs178 CMNoNoNo0Pro & Farm0$0$NoLien
Oskar SundqvistCasse-Tete (CAP)C251994-03-23No209 Lbs191 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Pavel FrancouzCasse-Tete (CAP)G291990-06-03No179 Lbs183 CMNoNoNo1Pro & Farm690,000$690,000$0$0$NoLien
Peter CehlarikCasse-Tete (CAP)LW241995-08-02No202 Lbs188 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Tony DeAngeloCasse-Tete (CAP)D231995-10-24No180 Lbs180 CMNoNoNo1Pro & Farm1,263,333$1,263,333$0$0$NoLien
Tyler GraovacCasse-Tete (CAP)C/RW261993-04-27No208 Lbs196 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Urho VaakanainenCasse-Tete (CAP)D201999-01-01Yes185 Lbs185 CMNoNoNo1Pro & Farm1,333,333$1,333,333$0$0$NoLien
William BorgenCasse-Tete (CAP)D221996-12-19No196 Lbs191 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Zach SenyshynCasse-Tete (CAP)RW221997-03-30Yes192 Lbs185 CMNoNoNo1Pro & Farm1,288,333$1,288,333$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3123.61197 Lbs185 CM0.71773,047$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andreas JohnssonJoel Armia40122
2Artturi LehkonenOskar SundqvistAndrei Svechnikov30122
3Andrew CoppNick Cousins20122
4Matt NietoNoel AcciariIsac Lundestrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Derek Forbort30122
3Dennis CholowskiBen Harpur20122
4William BorgenJacob Middleton10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andreas JohnssonJoel Armia60122
2Artturi LehkonenOskar SundqvistAndrei Svechnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Derek Forbort40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Joel Armia60122
2Andreas JohnssonArtturi Lehkonen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Derek Forbort40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
2Joel Armia40122Derek Forbort40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Joel Armia60122
2Andreas JohnssonArtturi Lehkonen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Derek Forbort40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andreas JohnssonJoel Armia
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andreas JohnssonJoel Armia
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Peter Cehlarik, Nick Paul, Peter Cehlarik, Nick Paul
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dennis Cholowski, Ben Harpur, William BorgenDennis CholowskiBen Harpur, William Borgen
Tirs de Pénalité
, Joel Armia, Andreas Johnsson, Artturi Lehkonen, Andrei Svechnikov
Gardien
#1 : Anton Forsberg, #2 : Pavel Francouz


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 Billets3515
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
42 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,396,444$ 1,782,861$ 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
2016845018024555451913544225701252290882024225110120325510315210054597915242616718418710271290191386473239687885016472998327.76%3334686.19%23770165746.47%830171148.51%531130440.72%2054138318126581236626
2017844818034743951782174225700343216911254223110313117987929639571311081813612612318271889386292772236576486316682966923.31%4175886.09%111035175259.08%991173457.15%684114459.79%2051135218016841258633
20178453170146341039218422710002212011929422670124220920091064106351045341421371249272692489688746248091554914163156821.59%2645280.30%3849168650.36%640155141.26%715140051.07%1944130019066541242609
20188208200000823190-31084104100000461556-15104104100000361634-1598082861680016363001575534570471037871421704462823010.64%362627.78%0397116034.22%23075030.67%1269387332.77%124984525635541107381
2018826590422063917546441362021003137224141297021203261032231306391058169702270202161931231202958948292880104966315022907525.86%3026279.47%24987181654.35%984197149.92%786137257.29%1897125418226361215623
Total Saison Régulière41621614401014201220714126-20552081136703811610661999-933208103770769610052127-1122432207134715542620731685625461285444544199409722013908502729956679148232521.93%135224481.95%614038807150.03%3675771747.62%3985909343.82%919761369906318960602873
Séries
201640400000723-1620200000414-102020000039-6071118003220128603731013965516022313.64%18761.11%0339534.74%268032.50%236933.33%8558104305024
201619118000006344199720000036171910460000027270226311117400172222263521120020915491178169420781823.08%791778.48%422843552.41%19936854.08%8523036.96%490321385162299146
2017191630000089414810100000004814349630000041271432891642530031312616312282191786596213203333531018.87%1001288.00%522539357.25%24443456.22%13627050.37%461311421150267134
201740400000112-112020000016-52020000006-60112000100418151711666210251600.00%5180.00%063616.67%1910019.00%124327.91%5232144365419
2018171610000010234689900000056183887100000461630321021792810239412207052752222062545186149384751925.33%721184.72%623743454.61%20835458.76%14425257.14%443305331126248127
Total Séries634320000002621541083226600000145697631171400000117853286262466728029097723214078269364124193770458212222445020.49%2744882.48%15729139352.33%696133652.10%40086446.30%153310281387506920452