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Thanks! Fixed the name of the Stadium and the image for Os Belenenses and Portugal NT.

Updated: - Real Team Names - Shorthands - Team Colours - Real manager names - Stadium names - Rivals - Banners - Competitions I'm updating it with emblems, managers and stadiums photos. If anyone see a failure, post it for all of us. Any help with J1 data is welcome.

Hi! It takes time because I work on Mac with a Virtual Windows, so it works a little slow. Anyway, if I can help I'll do it even if it takes a while. If you want to help, you can contribute here: https://www.paypal.me/wyffy11 I've putted in the previous folder the teams you ask for...

Hi! Yes, unfortunately is only for Windows, in Mac the DB is different and some commands don't work. Here are the teams you request. Some of them have few player, so if you need anymore, ask for them. https://mega.nz/#F!E5hREK7Q!4WLGke2Bs7n5XLqHSPW4PA

Hope they put a 2nd fake division, to create 1 of these leagues, but is improvable. There will be another asian fake division (PEA)

It will be Colombian Liga Águila, according to the Demo's files

https://mega.nz/#F!lxYyiCrT!PwnuloeyZN23R8oId30Scw

P. Olayinka https://mega.nz/#!p8pjXJZZ!GkOa_oBbiEcxj_q66pYZq5_RGo3sWjPZHxh4wewbUJE

He seems pretty fast Percy Tau https://mega.nz/#!s1xFHbAA!npBXxqC1ciR_EsZgtWTEvQmHvB4ynzOvphNdDW9G9yg

You can load all the data with =IMPORTXML(B3,"//a") in a dirty sheet and hide it. Import only the data you want in the main sheet with ='Hoja 2'!A1 in each cell

Data: =IMPORTXML(B3;"//div[1]/div[1]/div[@class='meta']") Nation: =IMPORTXML(B3;"//div[1]/div[1]/div[1]/a/@title") Image: =IMAGE("https://cdn.sofifa.org/players/10/18/" & EXTRAE(A1;(HALLAR("player/"; B3;2))+7;50) & ".png";1)

Ok... Then, why not scraping stat by stat, or all you want? Do you know how Xpaths works? For example, if you want to know the Crossing stat, put in a cell: =IMPORTXML(B3;"//div[3]/div[1]/div[1]/ul[1]/li[1]/span") If you want the Finishing stat...

Try with =IMPORTXML(B3,"//a") I think the stats positions will be the same in all of cases.

Here you are Chuba Akpom (Arsenal) https://mega.nz/#!d1g1DLpJ!iYTZ1OiG5mGFU16j8L47I4KhokEnbNUeWaOTxHZf96g Sullay Kaikai (Crystal Palace) https://mega.nz/#!Ig5hEJ6T!AxSw089hlNaAhgdO6Uxq04mioEWkXjwPuiip62P3UCA Beni Baningime (Everton)...

I post the 2019 version in this link: http://www.pesgaming.com/showthread.php?p=2212175#post2212175

Like last year, I made an Excel with the data of the teams that appears or could be created in PES 2019. I hope it helps and people collaborate to be able to have clubs updated, to make better and faster OFs. https://docs.google.com/spreadsheets/d/1IOOiZA1it8lOU0SO0Z1gAVS6Y_VHE98Y5PrYwC_cWmU

Joel Asoro (formerly Sunderland, now Swansea) https://mega.nz/#!Z5oxhZLb!_GgApPdu9acvjj1rHd_q5sXDywtPNMoDiu-oG4rgtLc Jay Fulton (Swansea) https://mega.nz/#!FkgV1LiK!qJmcawVOQ4vZefdzOfpEfi_dOl7Mnjcu-hXWw3Ndcs0 Matt Grimes (Swansea)...

Alexandru Baluta https://mega.nz/#!I5ojBazT!vUxmouMDII56y_c9HN8ospXBglRzRFahdZBQ0iYivvM

Luke Shaw https://mega.nz/#!phABwKDY!iBH4qlLFQCI6scsza6ppRUBOAmyELpSm0n1wjYVjcc4

Phil Foden (Manchester City) https://mega.nz/#!MhYVES6C!iNZH5B0Ccjh0CWU4p0IgLmY-Xf978jm2Xjew36fvhMY Glenn Middleton (Rangers) https://mega.nz/#!glBhGCyY!9jeP9jjlpXDAAYwWFxFkL0meCCDYUr_7ApIqemGAhsU Serge Atakayi (Rangers)...