LFM, the large football model
The world’s first league-agnostic, multi-task AI that learns football — not stats.
Every pass, every duel, every heartbeat — understood by one neural model.
An intelligence engine to predict, simulate, and understand football in real time.
One model. Every league.Every task.
Football’s foundation model — a shared neural core that understands structure, flow & intent across competitions.
LFM unifies global football knowledge — Premier League to Copa Libertadores. Trained on millions of matches, it predicts outcomes, surfaces hidden dynamics, and powers a new era of tactical intelligence.
Predicts · Simulates · Explains · Learns
Real-time football intelligence.
Every 15 seconds, LFM recalibrates using live events, odds, and context.
It doesn’t just forecast — it plays along.
Live ingestion · Event-driven updates · Odds fusion · Neural calibration
The hidden geometry of the game.
LFM embeds every player, team, and event into a shared latent space.
Styles cluster together — discovered by AI, not predefined tags.
The game’s DNA, visualised.
Rewind. Rerun. Reimagine.
Simulate injuries, transfers, tactics, and momentum shifts to see how reality might unfold.
Neural Monte Carlo · Multi-agent dynamics · Predictive tactics
- Swap LB ↔ inverted CBbuild-up→ +3.2% possession retained, +1.1% xG delta
- Double pivot in build-upstructure→ press resistance ↑, final-third entries ↑
- Shift to 3-5-2 at 70'formation→ +4.1% possession, +1.3% xG delta
- Overload left with inverted wingeroverload→ entries to zone 14 ↑, weak-side switch threat
- Trigger press on left center backpressing→ more turnovers, higher counter risk
- Man-mark #10 out of possessionmarking→ disrupt passing lanes, fouls ↑ slightly
- Hold line 5m higherrest-defense→ offside traps ↑, counter risk ↑
- Counter-press 5s ruletransitions→ regained possessions ↑, transition shots ↑
- Short corners routineset-piece→ xThreat +0.07 / match, more shots from zone 14
- Bench fatigued CMload mgmt→ variance narrows, late-game stability improves
- Lower tempo after 60'tempo→ variance narrows, recovery improves
- Keeper long to right half-spacedistribution→ field tilt +2.1%, late variance ↑
- Substitute forward at 65'substitution→ +2.4% possession, +0.8% xG delta
AI meets reality
LFM blends neural certainty with market signals to deliver calibrated probabilities and interpretable EV.
Built for analysts, clubs, and investors seeking truth — not noise.
From probability to profitability.
Built for investorsbuilders, analysts, coaches, investors, engineers, fans
LFM is a platform: APIs, SDKs, embeddings, and simulations for research, products, and club workflows.
Native and web apps that display probabilities, xG flow, scenario outcomes, and much more in real time. Powered by LFM.
Experiment with endpoints, inspect payloads, and share queries.
Search, cluster, and compare match embeddings across leagues.
curl $LFM_API_URL/v1/match/predict -H "Authorization: Bearer $LFM_KEY" -H "Content-Type: application/json" -d '{
"home":"ARS",
"away":"MCI",
"league":"EPL",
"features":{"odds":true,"recent_form":true,"injuries":true}
}'Preview. The API is not public yet.
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Disclaimer
All data on this page is synthetic and for illustration only. Real model results will differ.