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Here’s howAI toolsare transforming top-level football in England:
Technology Director at Synechron.
AI models can now go beyond analyzing past performance with predictiveanalytics.
This “what-if” scenario planning helps coaches to make informed decisions in the heat of the moment.
This helps clubs recruit talent that fits their playing style and fills the necessary gaps in their squad.
AI can also analyze player data from training sessions to identify areas for improvement.
Injury prevention
AI is playing a significant role in risk assessment.
This early detection allows teams to implement preventative measures that keep their star players on the pitch.
AI can help to optimize player training schedules, ensuring they arent overtrained or underprepared.
This reduces the risk of injuries and keeps players at peak performance throughout the season.
These developments foster even deeper connections with fans and increase revenue streams.
This means that clubs will now play eight different teams.
AI is not a silver bullet
There are still a number of limitations to consider around thetechnology.
The effectiveness of AI models heavily relies on the quality and quantity of data theyre trained on.
Biased or incomplete data can lead to inaccurate insights, so its vital that clubs consider data quality.
Then there are the ethical considerations.
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