Dream League Soccer 2023 (DLS 23) is one of the most popular mobile soccer games available, and for good reason. It features realistic gameplay, stunning graphics, and a wide range of players to choose from.
If you're looking to build a winning team in DLS 23, it's important to choose the right players. That's where our player ratings list comes in. We've compiled a list of the top 50 players in the game, based on their overall rating.

Top 50 Players in DLS 23
Lionel Messi
Cristiano Ronaldo
Neymar Jr.
Kylian Mbappé
Kevin De Bruyne
Robert Lewandowski
Mohamed Salah
Erling Haaland
Virgil van Dijk
Sadio Mané
Karim Benzema
Trent Alexander-Arnold
Casemiro
Jorginho
Luka Modrić
Joshua Kimmich
N'Golo Kanté
Leon Goretzka
Bruno Fernandes
Pedri
Phil Foden
Trent Alexander-Arnold
João Cancelo
Antonio Rüdiger
Marquinhos
Theo Hernández
Reece James
Trent Alexander-Arnold
David Alaba
Alphonso Davies
Gianluigi Donnarumma
Ederson
Alisson Becker
Manuel Neuer
Thibaut Courtois
Jan Oblak
Marc-André ter Stegen
Keylor Navas
Mike Maignan
Hugo Lloris
Kasper Schmeichel
Wojciech Szczęsny
Jordan Pickford
Edouard Mendy
Samir Handanović
Yassine Bounou
André Onana
David Raya
Rui Patrício
Robert Sánchez

This list is based on the players' overall ratings in the game. However, it's important to note that other factors can also affect a player's performance, such as their form, position, and chemistry with their teammates.

Tips & Tricks to build a winning team
When building your team, it's important to choose a mix of players from different positions and leagues. This will help you to create a balanced team that is capable of competing at the highest level.
You should also consider your playing style when choosing players. For example, if you like to play a possession-based game, you'll need players with good passing and dribbling skills. If you prefer to play a more counter-attacking game, you'll need players with good pace and finishing.
Ultimately, the best way to build a winning team in DLS 23 is to experiment and find what works best for you. There is no one-size-fits-all approach.