Accuracy › Ligue 1
Graded in public
Ligue 1 prediction accuracy: 32 graded official predictions, 1X2 hit rate, Brier score and the latest graded matches — settled in public.
| Market | Graded calls | Hit rate |
|---|---|---|
| Win/draw/loss | 32 | 66% (21/32) |
| Over/under 2.5 | 32 | 56% (18/32) |
| Both teams score | 32 | 66% (21/32) |
| Exact score | 32 | 13% (4/32) |
| Kick-off (UTC) | Match | Score | Pick | 1X2 | Brier |
|---|---|---|---|---|---|
| 6 Nov | Toulouse vs Strasbourg | 3–1 | Home win | Correct | 0.548 |
| 2 Nov | Lorient vs Brest | 0–2 | Home win | Missed | 0.823 |
| 1 Nov | Paris FC vs AS Monaco | 3–1 | Home win | Correct | 0.554 |
| 1 Nov | Lyon vs Angers | 2–0 | Home win | Correct | 0.315 |
| 1 Nov | Strasbourg vs AJ Auxerre | 5–1 | Home win | Correct | 0.609 |
| 31 Oct | Troyes vs Le Mans | 2–0 | Home win | Correct | 0.601 |
| 30 Oct | Lille vs Lens | 1–0 | Home win | Correct | 0.609 |
| 30 Oct | Nice vs Stade Rennais | 5–2 | Away win | Missed | 0.698 |
Data as of 2026-11-08 00:35 UTC · How the model works · Ligue 1 predictions · CSV
Only official Ligue 1 predictions count here — one per selected match, locked one hour before kick-off and settled against the real final score. The hit rate is the share of matches where the most likely outcome happened; the Brier and RPS scores grade the probabilities themselves, so honest calibration beats lucky picks. Sample size is large enough to judge skill.