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Started By
Message
re: Do coaches use AI nowadays?
Posted on 11/6/25 at 12:24 pm to ApexTiger
Posted on 11/6/25 at 12:24 pm to ApexTiger
Its definitely possible for AI to provide value, but it would need to be continuously fed massive amount of data and take significant development to train a model. The Madden and CFB video games already have a base model for these, the real problem is collecting and analyzing data from a real life game.
The most difficult part would be designing an AI model to factor in intangibles. Things like:
-limits in pre-snap communication from crowd noise
-knowing a player is not 100% from an injury and how it affects their on field performance.
-affects from weather and field quality
It would be easier for AI to assist in game planning, but in-game support from AI would require something to feed live statistics and video of the game so it can analyze the play calling and schemes of the opponent.
As soon as a team takes advantage of AI, it will most likely be banned from in-game use. AI could so easily predict opponents play calling based on substitutions and player tendencies.
The most difficult part would be designing an AI model to factor in intangibles. Things like:
-limits in pre-snap communication from crowd noise
-knowing a player is not 100% from an injury and how it affects their on field performance.
-affects from weather and field quality
It would be easier for AI to assist in game planning, but in-game support from AI would require something to feed live statistics and video of the game so it can analyze the play calling and schemes of the opponent.
As soon as a team takes advantage of AI, it will most likely be banned from in-game use. AI could so easily predict opponents play calling based on substitutions and player tendencies.
0
Posted on 11/6/25 at 12:34 pm to lostinbr
quote:What about feeding it game film. It could probably sort out every twitch/tweak/head movement/nods/eye direction/cadence, etc. and determine what kind of play is coming and to what side.
To OP, I would think that identifying tendencies is a great application for AI/ML. Implementation might be easier said than done though. Feeding play charts into a standard LLM might give you decent results but a model trained on that sort of data (or on data analysis in general) would be much better.
Posted on 11/6/25 at 1:08 pm to ApexTiger
Some of the uses already in place...
NFL is partnered with MS to use Copilot to pull up relevant data and clips quickly.
Companies already have software out for doing film breakdown, labeling players, routes, formations, etc. and making it all searchable. This also make tendencies searchable as well.
Statistical analysis of personnel groupings. How does this combination of players work? What will an opponent run with players ABC on the field that they won't run with players ABD?
All of the player training trackers with the man-bras route information into AI systems to guide development and injury treatments.
In other words, its been in use for a while and will become more and more prevalent. A lot of it is the same for anyone else; It is about increased productivity of things that you already do.
NFL is partnered with MS to use Copilot to pull up relevant data and clips quickly.
Companies already have software out for doing film breakdown, labeling players, routes, formations, etc. and making it all searchable. This also make tendencies searchable as well.
Statistical analysis of personnel groupings. How does this combination of players work? What will an opponent run with players ABC on the field that they won't run with players ABD?
All of the player training trackers with the man-bras route information into AI systems to guide development and injury treatments.
In other words, its been in use for a while and will become more and more prevalent. A lot of it is the same for anyone else; It is about increased productivity of things that you already do.
Posted on 11/6/25 at 1:09 pm to The Mick
quote:
What about feeding it game film. It could probably sort out every twitch/tweak/head movement/nods/eye direction/cadence, etc. and determine what kind of play is coming and to what side.
In theory, absolutely. I don’t think we’ve reached a point yet where that’s easy using commercially-available models, but I don’t think it’s that far off. You need multi-modal models (meaning models that can operate in multiple mediums, i.e. visual + text) and they need to be trained to understand football game film. I’d imagine that there’s some mixture of companies working on this commercially as well as people in-house within NFL franchises today.
One issue is that there’s a limit to how you are allowed to use the technology in-game, at least at the NFL level (I assume in college as well but not sure). So coaches can use AI for game prep but not for real-time analysis.
Posted on 11/6/25 at 1:15 pm to ApexTiger
Ours definitely did not. GPT would have scripted the 1st quarter offense better than Sloan.
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