hellpepitosKingspatriots

 

 


Jardiniers

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Karl Wasilkowski | Morale : 50 | Moyenne d'Équipe : 68
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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
1Colin White0X100.00401864324875737576828367693940050730
2Riley Sheahan0X100.00592473448066796782788175755945050720
3Zack Kassian0X100.00824639408465676933778167746366050710
4Jake Virtanen0X100.00813049368165737237778257794947047700
5Lawson Crouse0X100.00883950408358797044788164644356050700
6Josh Leivo0X100.00463066346364717242778156744847047690
7Joel Eriksson Ek0X100.00801764416861756873778068654642050690
8Tomas Nosek0X100.00742462427956726864778070645745050690
9Joshua Ho-Sang0X100.00291770494168856033747963714536047660
10Sonny Milano0X100.00521671365749757230768251734335047660
11Brett Ritchie0X100.00863334438446646534737951715554050650
12Tomas Jurco0X100.00402571595958735932677665736146050630
13Matthew Highmore0XX100.00341885675056795731657267674149047610
14Vladislav Kamenev0X100.00602659536140296057697756673843050590
15Hudson Fasching0X100.00342380637144805630647069674342050570
16Madison Bowey0X100.00732946486554888030827548654964050700
17Marcus Pettersson0X100.00641456455059888278857665654837047700
18Connor Carrick0X100.00573559455858708328837747645156047700
19Mirco Mueller0X100.00652671497664677929827567654846047700
20Ian McCoshen0X100.00843054488152797830777445664047050670
21Seb Aho0X100.00391378594359936831737062723840047650
22Roland McKeown0X100.00353074596049826731726954684662047640
Rayé
1Danny O'Regan0X100.00331881644546815734666965674139050590
2Kyle Rau0X100.00542585694035845733667364664553050580
3David Warsofsky0X100.00282481584045776830737156665452050630
MOYENNE D'ÉQUIPE100.0057256549635675684275776169484804966
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
1Thatcher Demko100.0083918478828887869088734260018790
2Adin Hill100.0083908381829086879055655159047790
3Jon Gillies100.0082898480818586848952604966050780
Rayé
1Alex Lyon100.0082948077818684858852625069047780
2Marcus Hogberg (R)100.0081938178818284838851603554050760
3Hunter Miska100.0080927974817985827650604159047740
MOYENNE D'ÉQUIPE100.008292827881858585875863456104377
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
Adin HillJardiniers (WPT)G231996-05-11No202 Lbs198 CMNoNoNo2Pro & Farm708,500$708,500$0$0$No708,500$Lien
Alex LyonJardiniers (WPT)G261992-12-09No201 Lbs185 CMNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Brett RitchieJardiniers (WPT)RW261993-07-01No220 Lbs193 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Colin WhiteJardiniers (WPT)C221997-01-30No183 Lbs183 CMNoNoNo1Pro & Farm1,491,666$1,491,666$0$0$NoLien
Connor CarrickJardiniers (WPT)D251994-04-13No192 Lbs180 CMNoNoNo1Pro & Farm1,500,000$1,500,000$0$0$NoLien / Lien NHL
Danny O'ReganJardiniers (WPT)C251994-01-30No180 Lbs178 CMNoNoNo0Pro & Farm0$0$NoLien
David WarsofskyJardiniers (WPT)D291990-05-30No170 Lbs175 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Hudson FaschingJardiniers (WPT)RW241995-07-28No204 Lbs191 CMNoNoNo1Pro & Farm874,125$874,125$0$0$NoLien / Lien NHL
Hunter MiskaJardiniers (WPT)G241995-07-07No175 Lbs185 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Ian McCoshenJardiniers (WPT)D241995-08-05No217 Lbs191 CMNoNoNo1Pro & Farm1,025,000$1,025,000$0$0$NoLien / Lien NHL
Jake VirtanenJardiniers (WPT)RW231996-08-17No226 Lbs185 CMNoNoNo2Pro & Farm1,250,000$1,250,000$0$0$No1,250,000$Lien / Lien NHL
Joel Eriksson EkJardiniers (WPT)C221997-01-29No208 Lbs185 CMNoNoNo1Pro & Farm1,106,666$1,106,666$0$0$NoLien / Lien NHL
Jon GilliesJardiniers (WPT)G251994-01-22No223 Lbs198 CMNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Josh LeivoJardiniers (WPT)LW261993-05-26No192 Lbs188 CMNoNoNo1Pro & Farm1,500,000$1,500,000$0$0$NoLien / Lien NHL
Joshua Ho-SangJardiniers (WPT)RW231996-01-22No173 Lbs183 CMNoNoNo2Pro & Farm874,125$874,125$0$0$No874,125$Lien / Lien NHL
Kyle RauJardiniers (WPT)C261992-10-24No176 Lbs173 CMNoNoNo0Pro & Farm0$0$NoLien
Lawson CrouseJardiniers (WPT)RW221997-06-23No220 Lbs193 CMNoNoNo1Pro & Farm1,602,500$1,602,500$0$0$NoLien / Lien NHL
Madison BoweyJardiniers (WPT)D241995-04-22No198 Lbs188 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Marcus HogbergJardiniers (WPT)G241994-11-25Yes209 Lbs196 CMNoNoNo1Pro & Farm850,000$850,000$0$0$NoLien
Marcus PetterssonJardiniers (WPT)D231996-05-08No177 Lbs191 CMNoNoNo2Pro & Farm874,125$874,125$0$0$No874,125$Lien
Matthew HighmoreJardiniers (WPT)C/LW231996-02-27No188 Lbs180 CMNoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Mirco MuellerJardiniers (WPT)D241995-03-21No210 Lbs191 CMNoNoNo2Pro & Farm1,400,000$1,400,000$0$0$No1,400,000$Lien / Lien NHL
Riley SheahanJardiniers (WPT)C271991-12-07No214 Lbs191 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Roland McKeownJardiniers (WPT)D231996-01-20No195 Lbs185 CMNoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Seb AhoJardiniers (WPT)D231996-02-17No177 Lbs180 CMNoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Sonny MilanoJardiniers (WPT)LW231996-05-12No195 Lbs183 CMNoNoNo2Pro & Farm874,125$874,125$0$0$No874,125$Lien / Lien NHL
Thatcher DemkoJardiniers (WPT)G231995-12-08No192 Lbs193 CMNoNoNo1Pro & Farm1,050,000$1,050,000$0$0$NoLien
Tomas JurcoJardiniers (WPT)RW261992-12-28No188 Lbs188 CMNoNoNo1Pro & Farm990,000$990,000$0$0$NoLien / Lien NHL
Tomas NosekJardiniers (WPT)LW271992-09-01No210 Lbs191 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Vladislav KamenevJardiniers (WPT)LW231996-08-12No194 Lbs188 CMNoNoNo1Pro & Farm894,167$894,167$0$0$NoLien / Lien NHL
Zack KassianJardiniers (WPT)RW281991-01-24No211 Lbs191 CMNoNoNo1Pro & Farm1,950,000$1,950,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3124.39197 Lbs188 CM1.10844,032$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Josh LeivoColin WhiteZack Kassian40122
2Sonny MilanoJoel Eriksson EkJake Virtanen30122
3Vladislav KamenevMatthew HighmoreLawson Crouse20122
4Zack KassianColin WhiteJoshua Ho-Sang10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyMarcus Pettersson40122
2Mirco MuellerConnor Carrick30122
3Ian McCoshenSeb Aho20122
4Roland McKeownMadison Bowey10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Josh LeivoColin WhiteZack Kassian60122
2Sonny MilanoJoel Eriksson EkJake Virtanen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyMarcus Pettersson60122
2Mirco MuellerConnor Carrick40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Colin WhiteZack Kassian60122
2Jake VirtanenLawson Crouse40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyMarcus Pettersson60122
2Mirco MuellerConnor Carrick40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Colin White60122Madison BoweyMarcus Pettersson60122
2Zack Kassian40122Mirco MuellerConnor Carrick40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Colin WhiteZack Kassian60122
2Jake VirtanenLawson Crouse40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyMarcus Pettersson60122
2Mirco MuellerConnor Carrick40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Josh LeivoColin WhiteZack KassianMadison BoweyMarcus Pettersson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Josh LeivoColin WhiteZack KassianMadison BoweyMarcus Pettersson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tomas Jurco, Hudson Fasching, Joshua Ho-SangTomas Jurco, Hudson FaschingJoshua Ho-Sang
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ian McCoshen, Seb Aho, Roland McKeownIan McCoshenSeb Aho, Roland McKeown
Tirs de Pénalité
Colin White, Zack Kassian, Jake Virtanen, Lawson Crouse, Josh Leivo
Gardien
#1 : Thatcher Demko, #2 : Adin Hill, #3 : Jon Gillies


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$ 2,616,500$ 2,576,500$ 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
2016846111041434931523414231802010200791214230302133293732201224938631356141661541659271190087090663239789293616042817125.27%2773587.36%171067168263.44%1027166961.53%744124959.57%2020134918216561246639
201784373004247326409-8342231201213180212-3242141803034146197-517432655287804133879813255688985277674232488762013813095317.15%2907574.14%8923167855.01%896154857.88%714129954.97%2018132717706771316661
20188239300624144827517341279021112481241244112210413020015149784487761224131671601111331791197104990351272192996416402826623.40%43510376.32%181122186360.23%1122185760.42%824126465.19%2052137216906481220620
Total Saison Régulière25013771014512111267836431125812905334628415213125564209297639421218274126721913458211466401374358446298627712585188744227082520462587219021.79%100221378.74%433112522359.58%3045507460.01%2282381259.86%609140495282198237831922
Séries
201621147000008054261183000004919301064000003135-428801392190134153106702372092240598210245349981818.37%621772.58%126447655.46%21938257.33%14228150.53%491323459172312154
2017136700000373617340000022202633000001516-1123769106011513904521531381481341317511427432825.00%571278.95%019729467.01%18528864.24%11416569.09%3352312859018094
20181165000004945465100000331617514000001629-131249851340023131214441641401346348116146276641625.00%581181.03%014329149.14%13023555.32%7616845.24%2811852258916385
Total Séries452619000001661353124168000001045549211011000006280-185216629345902724152115665544875061913595015058991944221.65%1774077.40%1604106156.93%53490559.01%33261454.07%1109741970351656334