RadarLigue 1 · Exact scores
League matches from 2023-24 to 2026-27 · n = 983 All leagues →
The most common scores n = 983
How many times a match ended with each score, out of all the league matches in our database. The score is home–away, so 1–0 and 0–1 are different scores.
| score | matches | of all |
|---|---|---|
| 1–1 | 98 | 10.0%95%: 8–12% |
| 1–0 | 93 | 9.5%95%: 8–11% |
| 2–1 | 81 | 8.2%95%: 7–10% |
| 2–0 | 73 | 7.4%95%: 6–9% |
| 1–2 | 72 | 7.3%95%: 6–9% |
| 0–0 | 69 | 7.0%95%: 6–9% |
| 0–1 | 64 | 6.5%95%: 5–8% |
| 3–1 | 55 | 5.6%95%: 4–7% |
| 2–2 | 52 | 5.3%95%: 4–7% |
| 0–2 | 51 | 5.2%95%: 4–7% |
| 3–0 | 38 | 3.9%95%: 3–5% |
| 1–3 | 36 | 3.7%95%: 3–5% |
The actual score against the model estimate 2025-26 ↺
On the same matches: how often each score came up and the chance the model gave it, on average, before kick-off. If the model is well calibrated, the two columns are close. “Other score” adds up all the remaining scores.
2025-26 ↺ — reconstructed walk-forward estimates, frozen on match day (the site did not exist then); 298 matches with an estimate. How good is the model? →
| score | estimated on average | actual |
|---|---|---|
| 1–1 | 10.2%≈ 1 in 9.82 | 9.4%28 of 298 |
| 1–0 | 9.3%≈ 1 in 10.79 | 12.1%36 of 298 |
| 2–1 | 8.1%≈ 1 in 12.40 | 6.4%19 of 298 |
| 0–1 | 7.7%≈ 1 in 12.94 | 7.7%23 of 298 |
| 2–0 | 7.2%≈ 1 in 13.81 | 6.7%20 of 298 |
| 1–2 | 6.7%≈ 1 in 14.87 | 6.4%19 of 298 |
| 0–0 | 5.8%≈ 1 in 17.20 | 8.1%24 of 298 |
| 0–2 | 5.0%≈ 1 in 20.02 | 3.7%11 of 298 |
| 2–2 | 4.9%≈ 1 in 20.23 | 5.0%15 of 298 |
| 3–1 | 4.5%≈ 1 in 22.11 | 6.4%19 of 298 |
| 3–0 | 4.2%≈ 1 in 23.53 | 4.7%14 of 298 |
| 1–3 | 3.2%≈ 1 in 31.55 | 1.7%5 of 298 |
| other score | 23.1%≈ 1 in 4.33 | 21.8%65 of 298 |
Most common scores of the 2026-27 teams 2023-24 – 2026-27
The scores the matches of each team in the latest season ended with most often (across all seasons in our database), read from its side: the first number is the team's goals, the second the opponent's, home or away. Example: 2–1 = the team won 2–1.
| Team | matches | scores (team first) |
|---|---|---|
| AJ Auxerre | 75 | 1–3 (9) · 0–0 (7) · 0–1 (7) |
| AS Monaco FC | 109 | 2–1 (12) · 2–0 (11) · 0–1 (9) |
| Angers SCO | 75 | 0–2 (12) · 1–1 (11) · 1–0 (10) |
| ES Troyes AC | 7 | 0–2 (3) · 0–0 (1) · 2–1 (1) |
| FC Lorient | 75 | 1–1 (9) · 0–2 (8) · 0–1 (6) |
| Le Havre AC | 109 | 0–1 (17) · 1–1 (14) · 0–0 (11) |
| Le Mans FC | 7 | 2–2 (2) · 1–1 (1) · 2–1 (1) |
| Lille OSC | 109 | 1–0 (17) · 1–1 (14) · 2–0 (13) |
| OGC Nice | 110 | 1–1 (13) · 0–0 (11) · 1–2 (11) |
| Olympique Lyonnais | 109 | 1–0 (15) · 2–1 (10) · 0–0 (9) |
| Olympique de Marseille | 109 | 0–1 (11) · 1–1 (10) · 2–2 (9) |
| Paris FC | 42 | 0–0 (6) · 1–1 (5) · 1–2 (5) |
| Paris Saint-Germain FC | 109 | 3–1 (13) · 1–1 (11) · 3–0 (11) |
| RC Strasbourg Alsace | 109 | 1–2 (14) · 1–1 (12) · 2–1 (12) |
| Racing Club de Lens | 110 | 1–0 (14) · 2–1 (11) · 1–1 (10) |
| Stade Brestois 29 | 110 | 2–0 (12) · 1–1 (10) · 1–0 (9) |
| Stade Rennais FC 1901 | 109 | 1–2 (12) · 1–0 (9) · 1–1 (8) |
| Toulouse FC | 109 | 1–2 (13) · 1–1 (12) · 0–1 (11) |
How to read it
How to read the figures on this page and what they do not say.
- The score on the page is the full-time score, home–away; for teams, the first number is the team's goals.
- Percentages appear only from 8 matches upwards; the 95% interval shows how far the percentage can move just because of the number of matches.
- “Estimated on average” = the average chance the model gave each score on the same matches; estimates marked ↺ are calculated only from earlier matches, but the site did not publish them at the time.
- A score that was common in the past does not become more likely in the next match; the figures say what happened.
Updated: 25 Oct 2026, 07:20 UTC