Association Québécoise de Hockey Simulé - Igloos 

Igloos

GP: 16 | W: 7 | L: 7 | OTL: 2 | P: 16
GF: 50 | GA: 56 | PP%: 27.78% | PK%: 71.15%
DG: Pierre-Luc Vezina | Morale : 90 | Moyenne d'Équipe : 55
Prochain matchs #271 vs Scorpions
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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
1Cole Koepke (R)X100.00824592766650404730405455508471090550
2Brandon BaddockX100.00504595738150404530405055508875090540
3Lukas VejdemoX100.00504595766750404530405055508774090530
4Marian StudenicX100.00504595776350404530405055508471090530
5Charles HudonX100.00604592775754404530405055508876090530
6Paul LadueX100.00504595766750404530405055509178090570
Rayé
MOYENNE D'ÉQUIPE100.0057459476675140453040515550877409054
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
1Zach Sawchenko (R)100.0070404083656565656565658472090580
Rayé
MOYENNE D'ÉQUIPE100.007040408365656565656565847209058
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens65656565917558CAN5731,000,000$


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 GP 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
1Alex GalchenyukNunavut MysteryLW14459-30081136122211.11%924217.340114140000310053.33%15105000.7400000121
2Marian StudenicIgloos (NUN)RW16336175372472012.50%023514.690001141013220030.77%1365000.5100001012
3Markus GranlundNunavut MysteryRW7516-620162991317.24%414220.37303918011181125.00%451000.8400000111
4Cole KoepkeIgloos (NUN)LW5325-16073133523.08%28717.52213715000070039.39%3323001.1400000210
5John PerssonNunavut MysteryD14011-152041110220.00%1931222.34011123000029000.00%0411000.0600000000
6Paul LadueIgloos (NUN)D16011-140071712460.00%1535522.23011123000037000.00%049000.0600000001
Stats d'équipe Total ou en Moyenne72151328-381753055124376812.10%49137619.125492310811241351140.00%653134000.4100001455
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
1Zach SawchenkoIgloos (NUN)84210.8423.62481002918389100.000080101
2Veini VehvilainenNunavut Mystery40210.8424.6515500127640000.0000311000
Stats d'équipe Total ou en Moyenne124420.8423.876360041259129100.00001111101


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Brandon BaddockIgloos (NUN)RW281995-03-29No218 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm700,000$0$0$No
Charles HudonIgloos (NUN)LW291994-06-23No190 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm750,000$0$0$No
Cole KoepkeIgloos (NUN)LW251998-05-17Yes196 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm825,000$0$0$No
Lukas VejdemoIgloos (NUN)C271996-01-25No198 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm4,000,000$0$0$No
Marian StudenicIgloos (NUN)RW241998-10-28No190 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm800,000$0$0$No
Paul LadueIgloos (NUN)D311992-09-06No200 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$No
Zach SawchenkoIgloos (NUN)G251997-12-30Yes185 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
727.00197 Lbs6 ft12.291,496,429$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
135122
2Marian Studenic30122
325122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Paul Ladue35122
230122
325122
4Paul Ladue10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
2Marian Studenic45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Paul Ladue55122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Marian Studenic45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Paul Ladue55122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Paul Ladue55122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Marian Studenic45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Paul Ladue55122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Paul Ladue
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Paul Ladue
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Marian Studenic, , Marian Studenic,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Paul Ladue, Paul Ladue,
Tirs de Pénalité
, , , Marian Studenic,
Gardien
#1 : , #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
1Bandits1010000034-11010000034-10000000000000.000358001014260229012918002482113200.00%8275.00%013726152.49%14526654.51%13526351.33%468356281108213103
2CoolFm2110000067-11010000014-31100000053220.5006111700101426051901291800531910243133.33%5260.00%013726152.49%14526654.51%13526351.33%468356281108213103
3Goons220000001165110000004131100000075241.000112031001014260689012918005422103512433.33%5180.00%013726152.49%14526654.51%13526351.33%468356281108213103
4Hunters422000001216-42200000085320200000411-740.500122234001014260769012918008129595011436.36%12283.33%113726152.49%14526654.51%13526351.33%468356281108213103
5Husky3110010089-1210001007611010000013-230.500815231010142609190129180057161334500.00%4175.00%013726152.49%14526654.51%13526351.33%468356281108213103
6Marlies1010000035-21010000035-20000000000000.00035800101426021901291800276820100.00%4175.00%013726152.49%14526654.51%13526351.33%468356281108213103
7Raptors1010000013-2000000000001010000013-200.00012300101426020901291800251112911100.00%6266.67%013726152.49%14526654.51%13526351.33%468356281108213103
8Smirnoff Ice11000000211110000002110000000000021.0002460010142602390129180014887000.00%4175.00%013726152.49%14526654.51%13526351.33%468356281108213103
Total1677002005056-69530010028262724001002230-8160.5005092142101014260399901291800369126149207361027.78%521571.15%113726152.49%14526654.51%13526351.33%468356281108213103
10Xpress1000010045-1000000000001000010045-110.500481200101426027901291800347815100.00%4325.00%013726152.49%14526654.51%13526351.33%468356281108213103
_Since Last GM Reset1677002005056-69530010028262724001002230-8160.5005092142101014260399901291800369126149207361027.78%521571.15%113726152.49%14526654.51%13526351.33%468356281108213103
_Vs Conference1576002004953-49530010028262623001002127-6160.533499013910101426037990129180034411513719835925.71%461371.74%113726152.49%14526654.51%13526351.33%468356281108213103
_Vs Division1365002004447-37420010023203623001002127-6140.538448112510101426033590129180030310112117134926.47%381171.05%113726152.49%14526654.51%13526351.33%468356281108213103

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1616W1509214239936912614920710
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
167702005056
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
95301002826
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
72401002230
Derniers 10 Matchs
WLOTWOTL SOWSOL
360100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
361027.78%521571.15%1
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
9012918001014260
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
13726152.49%14526654.51%13526351.33%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
468356281108213103


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 - 2024-04-064Hunters4Igloos5WSommaire du Match
3 - 2024-04-0823Igloos0Hunters6LSommaire du Match
4 - 2024-04-0936Husky4Igloos3LXSommaire du Match
7 - 2024-04-1268Goons1Igloos4WSommaire du Match
9 - 2024-04-1491Igloos7Goons5WSommaire du Match
10 - 2024-04-1597Hunters1Igloos3WSommaire du Match
11 - 2024-04-16113Igloos4Hunters5LSommaire du Match
12 - 2024-04-17126Igloos5CoolFm3WSommaire du Match
13 - 2024-04-18139CoolFm4Igloos1LSommaire du Match
15 - 2024-04-20158Bandits4Igloos3LSommaire du Match
16 - 2024-04-21169Igloos4Xpress5LXSommaire du Match
18 - 2024-04-23189Husky2Igloos4WSommaire du Match
20 - 2024-04-25207Igloos1Husky3LSommaire du Match
21 - 2024-04-26222Marlies5Igloos3LSommaire du Match
23 - 2024-04-28240Igloos1Raptors3LSommaire du Match
24 - 2024-04-29251Smirnoff Ice1Igloos2WSommaire du Match
26 - 2024-05-01271Igloos-Scorpions-
27 - 2024-05-02283Chiwawa-Igloos-
28 - 2024-05-03298Igloos-Vandals-
30 - 2024-05-05315Goons-Igloos-
31 - 2024-05-06324Igloos-Bandits-
32 - 2024-05-07344Barracudas-Igloos-
34 - 2024-05-09362Igloos-TigersCats-
35 - 2024-05-10374Igloos-Xpress-
36 - 2024-05-11385Bayou-Igloos-
38 - 2024-05-13402Igloos-Bayou-
39 - 2024-05-14416Bandits-Igloos-
42 - 2024-05-17439Rockets-Igloos-
43 - 2024-05-18454Igloos-Rockets-
44 - 2024-05-19469Husky-Igloos-
46 - 2024-05-21486Igloos-Twins-
47 - 2024-05-22498TigersCats-Igloos-
48 - 2024-05-23518Igloos-Thugs-
49 - 2024-05-24528Igloos-Snowbirds-
50 - 2024-05-25539Igloos-Bandits-
51 - 2024-05-26550Snowbirds-Igloos-
53 - 2024-05-28570CoolFm-Igloos-
55 - 2024-05-30591Grizzlies-Igloos-
58 - 2024-06-02612Igloos-Farmers-
59 - 2024-06-03623Igloos-Outlaws-
60 - 2024-06-04632Twins-Igloos-
62 - 2024-06-06654Igloos-Supreme-
63 - 2024-06-07667Marmots-Igloos-
64 - 2024-06-08682Igloos-Vipers-
65 - 2024-06-09696Igloos-Barracudas-
66 - 2024-06-10706Outlaws-Igloos-
68 - 2024-06-12726Saguenéens-Igloos-
70 - 2024-06-14748Igloos-Wolves-
71 - 2024-06-15756Hunters-Igloos-
72 - 2024-06-16779Igloos-Saguenéens-
73 - 2024-06-17787Vipers-Igloos-
75 - 2024-06-19812Raptors-Igloos-
76 - 2024-06-20824Igloos-Smirnoff Ice-
77 - 2024-06-21837Igloos-Chiwawa-
78 - 2024-06-22851Vandals-Igloos-
79 - 2024-06-23861Igloos-Warriors-
81 - 2024-06-25882Xpress-Igloos-
83 - 2024-06-27902Warriors-Igloos-
85 - 2024-06-29918Igloos-Hunters-
86 - 2024-06-30928Igloos-Grizzlies-
88 - 2024-07-02945Wolves-Igloos-
89 - 2024-07-03956Igloos-Marlies-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04971Farmers-Igloos-
92 - 2024-07-06991Igloos-Marmots-
93 - 2024-07-071005Xpress-Igloos-
94 - 2024-07-081017Igloos-CoolFm-
95 - 2024-07-091031Thugs-Igloos-
97 - 2024-07-111050Igloos-Marlies-
99 - 2024-07-131068Igloos-Goons-
100 - 2024-07-141077Predateurs-Igloos-
103 - 2024-07-171096Scorpions-Igloos-
104 - 2024-07-181104Igloos-Predateurs-
105 - 2024-07-191116Igloos-Husky-
107 - 2024-07-211138Spartans-Igloos-
110 - 2024-07-241160Igloos-Spartans-
112 - 2024-07-261174Supreme-Igloos-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance17,8748,964
Assistance PCT99.30%99.60%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
29 2982 - 99.40% 101,340$912,060$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
536,798$ 1,047,500$ 1,047,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 312,370$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,938,860$ 88 18,119$ 1,594,472$




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
4582243506935235281-4641101903414116143-2741141603521119138-1980235443678215477951117274065937035020446897919722263716.37%2487171.37%7628120951.94%713138451.52%643127450.47%2267169616355631084535
4682273708514237272-3541121806113116126-1041151902401121146-258123743967612469092131802463635686341945632107910422504216.80%2898371.28%6670133150.34%696136251.10%615124449.44%2432181614255751113559
471677002005056-69530010028262724001002230-8165092142101014260399901291800369126149207361027.78%521571.15%113726152.49%14526654.51%13526351.33%468356281108213103
Total Saison Régulière18058790141649522609-8791274009627260295-35893139051022262314-52177522974149643110181213243928959135715698443581447201922215128917.38%58916971.31%141435280151.23%1554301251.59%1393278150.09%516838693342124724101198