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FIFA 23 Legacy Edition features the latest kits, clubs, and squads from some of the top football leagues of the world. It will also feature the addition of top women's club teams and some of the world's most famous stadiums, including brand new ones, an updated visual identity and a refreshed broadcast overlay package.
Game Description
FIFA 23 features a degree of crossplay. Crossplay is available in FIFA Ultimate Team (FUT) Division Rivals (excluding co-op), FUT Champions, FUT Ultimate Online Draft, FUT Online Friendlies (excluding Co-Op), FUT Play a Friend, Online Friendlies, Online Seasons (excluding Co-Op Seasons) and the Virtual representation of the Bundesliga. However, crossplay is limited to consoles that fall within the same console generation. For example, those on the PlayStation 4 are able to play with and against players on Xbox One, but not the PlayStation 5 or Xbox Series X/S and vice versa. Pro Clubs will not support crossplay.
The decision to omit Pro Clubs from crossplay has received criticism from the FIFA community.
Furthermore, the option to delete Ultimate Team data has been removed due to most players not using that option, while an option to rename the club's name outside of the Objectives screen has been added instead. In previous FIFA titles, players can only use the Delete Club option 4 times, as they are allowed to create a club 5 times.
The game features what's being dubbed as "HyperMotion2", a system of match capture with machine learning from real life football matches to create over 6,000 in-game animations. "Technical Dribbling" uses what is being called the "Active Touch" system to improve the footballer's path to the ball and improve a player's turning and dribbling with more responsiveness.[6] Both systems are exclusive to current-generation versions (i.e. PS5, Xbox Series X/S, Stadia and PC).
The machine learning algorithms used in HyperMotion2 are based on deep learning neural networks , which are designed to simulate the behavior of the human brain. These neural networks consist of layers of interconnected nodes that process and analyze data, allowing the system to identify patterns and make predictions based on past experience.
To train the machine learning algorithms used in HyperMotion2, EA Sports used a large dataset of football matches captured with advanced motion-capture technology. The dataset includes thousands of hours of footage, which was carefully analyzed and labeled by a team of experts to ensure the accuracy of the data.
A technique called backpropagation was used by EA Sports. Backpropagation is a technique used to adjust the parameters of a neural network to minimize the difference between the network's predictions and the actual output. In the case of HyperMotion2, backpropagation is used to adjust the parameters of the neural network to ensure that the in-game animations accurately replicate the movements of real-life players.
The machine learning algorithms used in HyperMotion2 are able to identify patterns in the data and use these patterns to create new animations that accurately replicate the movements of real-life players. The system is able to generate over 6,000 unique animations, each with its own set of variables and parameters that determine how the animation will be executed in-game.
