Track record
Ligue 1 track record
Every Ligue 1 prediction timestamped before kick-off and settled against the final score. Nothing is removed afterwards.
Since August 21, 2026 the model’s 1X2 pick came in 25 of 49 settled Ligue 1 matches (51.0%), with a Brier score of 0.631.
Over/under 2.5 goals landed 63.3% of the time (49 matches) and both-teams-to-score 51.0% (49).
One unit on every 1X2 pick at the closing market price would have returned -5.9% over 47 matches.
By month: Aug 2026 44% (18) · Sep 2026 57% (23) · Oct 2026 50% (8).
Window Aug 21 – Oct 16 · How the numbers are defined · Brier score explained
- Settled
- 49
- 1X2 picks with a final score
- Hit rate
- 51.0%
- 25 of 49 picks
- Brier
- 0.631
- 1X2, 3-outcome; lower is better, 0.667 = uniform guess
- Return · Closing price
- -5.9%
- flat stake, closing odds, 47 bets
By market
| Market | Hit rate | W–L | Brier |
|---|---|---|---|
| 1X2 | 51.0% | 25–24 | 0.631 |
| Over/Under 2.5 | 63.3% | 31–18 | 0.244 |
| Both teams to score | 51.0% | 25–24 | 0.252 |
Over/under 2.5 and both-teams-to-score are scored on the raw model probability and settled from the final score. Their Brier is binary (0.25 = coin flip).
Monthly hit rate
| Month | n | Hit rate | W–L |
|---|---|---|---|
| Aug 2026 | 18 | 44.4% | 8–10 |
| Sep 2026 | 23 | 56.5% | 13–10 |
| Oct 2026 | 8 | 50.0% | 4–4 |
Small months swing wildly; read them with the sample size in view.
Latest settled Ligue 1 matches
Score and the model’s pre-match pick, newest first. Open a match for the full overview.
| Date | Match | Score | Pick | Result |
|---|---|---|---|---|
| Rennes – Auxerre | 4–1 | Rennes · 59% | Won | |
| Nice – Strasbourg | 2–1 | Strasbourg · 52% | Lost | |
| Lorient – Paris FC | 1–0 | Paris FC · 36% | Lost | |
| Brest – Angers | 5–1 | Brest · 47% | Won | |
| Monaco – Toulouse | 2–2 | Monaco · 59% | Lost | |
| Lille – Le Havre | 1–0 | Lille · 58% | Won | |
| Lens – Lyon | 2–1 | Lens · 42% | Won | |
| Marseille – Paris Saint-Germain | 1–2 | Paris Saint-Germain · 50% | Won | |
| Nice – Lille | 2–1 | Lille · 59% | Lost | |
| Auxerre – Brest | 2–1 | Auxerre · 38% | Won | |
| Toulouse – Le Havre | 3–2 | Toulouse · 46% | Won | |
| Lyon – Rennes | 4–0 | Lyon · 46% | Won | |
| Paris FC – Strasbourg | 2–1 | Paris FC · 44% | Won | |
| Monaco – Lens | 2–1 | Monaco · 39% | Won | |
| Brest – Paris Saint-Germain | 0–1 | Paris Saint-Germain · 63% | Won | |
| Lorient – Toulouse | 2–2 | Lorient · 43% | Lost | |
| Auxerre – Nice | 1–0 | Auxerre · 48% | Won | |
| Le Havre – Angers | 0–0 | Le Havre · 40% | Lost | |
| Paris FC – Lyon | 0–0 | Paris FC · 37% | Lost | |
| Strasbourg – Monaco | 1–1 | Strasbourg · 40% | Lost |
Frequently asked
- How accurate are the Ligue 1 predictions?
- Since August 21, 2026 the model’s 1X2 pick came in 25 of 49 settled Ligue 1 matches (51.0%), with a Brier score of 0.631.
- What is a Brier score?
- The Brier score is the mean squared error of the published probabilities against what happened: 0 is perfect, 0.667 is a uniform guess across three outcomes. Lower is better.
- How is the Ligue 1 record computed?
- Every Ligue 1 prediction is stored with a timestamp before kick-off and settled automatically from the final score. The hit rate counts the 1X2 pick, the Brier score the full probability split, and the return assumes one unit on each pick at the last captured market price.