Ligue 1: The PSG Effect, the Highest Margins, and the Season That Never Finished
3,856 matches. PSG win 72.9%. Highest red card rate (21.8%). Widest margins (4.8%). The only league that cancelled a season.
Matches
3,856
Goals/match
2.71
PSG win%
72.9%
Red card%
21.8%
Margin
4.8%
Ο
β0.025
Season-by-season overview
| Season | n | Goals | Home | Draw | Away | O2.5 | BTTS | 0:0 |
|---|---|---|---|---|---|---|---|---|
| 2015/16 | 380 | 2.53 | 42.1% | 28.4% | 29.5% | 44.2% | 48.4% | 8.9% |
| 2016/17 | 380 | 2.62 | 48.9% | 24.7% | 26.3% | 48.7% | 46.3% | 7.6% |
| 2017/18 | 380 | 2.72 | 45.5% | 25.3% | 29.2% | 51.8% | 50.5% | 5.5% |
| 2018/19 | 380 | 2.56 | 43.2% | 28.9% | 27.9% | 48.2% | 49.7% | 8.4% |
| 2019/20 | 279 | 2.52 | 48.0% | 25.1% | 26.9% | 47.3% | 48.4% | 7.5% |
| 2020/21 | 380 | 2.76 | 37.4% | 25.0% | 37.6% | 54.2% | 54.2% | 6.8% |
| 2021/22 | 380 | 2.81 | 42.6% | 26.8% | 30.5% | 50.3% | 55.3% | 6.3% |
| 2022/23 | 380 | 2.81 | 42.9% | 24.2% | 32.9% | 56.3% | 58.2% | 6.8% |
| 2023/24 | 306 | 2.70 | 39.2% | 26.5% | 34.3% | 52.9% | 53.9% | 8.8% |
| 2024/25 | 306 | 2.98 | 46.7% | 20.3% | 33.0% | 55.6% | 56.9% | 4.6% |
| 2025/26 | 305 | 2.83 | 46.2% | 24.3% | 29.5% | 52.8% | 50.8% | 7.5% |
2019/20 β cancelled at matchday 28 (279/380). Only league to not finish. 2020/21 β home advantage 37.4%, the lowest of any league that season (EPL: 37.9%). 2024/25 β 2.98 goals/match (record), only 20.3% draws. 2025/26 β reverted toward the league norm (2.83 goals, 24.3% draws). Format change (18 teams from 2023/24) shortened recent seasons to 306 matches.
The PSG distortion
PSG matches
395
Win rate
72.9%
Goals/match
3.34
Home W%
76.8%
| Team | Matches | Win % | Goals/match |
|---|---|---|---|
| PSG | 395 | 72.9% | 3.34 |
| Monaco | 396 | 52.3% | 3.12 |
| Lyon | 396 | 51.3% | 3.07 |
| Marseille | 396 | 48.7% | 2.85 |
PSG play ~10% of all matches. Removing them drops league avg goals from 2.71 to 2.64, while overall home win% barely moves (43.8% to 43.5%) β because PSG's away wins are removed alongside their home wins. PSG home matches are functionally different from the rest of Ligue 1 β implied win prob consistently 80%+. The Heavy Fav cluster is largely a PSG pricing test.
Market calibration: the draw pattern continues
| Cluster | n | Imp H | Act H | Ξ H | Imp D | Act D | Ξ D | Ξ A |
|---|---|---|---|---|---|---|---|---|
| Heavy Fav | 457 | 73.7% | 76.6% | +2.8 | 16.5% | 14.4% | β2.1 | β0.7 |
| Clear Fav | 813 | 56.5% | 55.5% | β1.1 | 24.9% | 26.3% | +1.4 | β0.3 |
| Slight Fav | 962 | 44.9% | 46.8% | +1.9 | 28.6% | 26.1% | β2.5 | +0.6 |
| Even | 613 | 36.9% | 34.9% | β1.9 | 29.6% | 33.6% | +4.0pp | β2.1 |
| Underdog | 1,011 | 23.7% | 22.1% | β1.6 | 25.6% | 24.4% | β1.2 | +2.8 |
Even-match draws +4.0pp underpriced β the same pattern seen in La Liga and Serie A. Heavy Fav overperformance (+2.8pp) is moderate β PSG's dominance is better priced than BarΓ§a/Real or Juve/Inter. Away favourites overdeliver +2.8pp in the Underdog cluster.
Most common scores
| # | Score | Count | Freq |
|---|---|---|---|
| 1 | 1:1 | 474 | 12.3% |
| 2 | 1:0 | 378 | 9.8% |
| 3 | 2:1 | 331 | 8.6% |
| 4 | 0:1 | 300 | 7.8% |
| 5 | 0:0 | 277 | 7.2% |
| 6 | 2:0 | 269 | 7.0% |
| 7 | 1:2 | 259 | 6.7% |
| 8 | 2:2 | 190 | 4.9% |
| 9 | 0:2 | 189 | 4.9% |
| 10 | 3:1 | 170 | 4.4% |
1:1 at 12.3% β near the top with La Liga. Top 3 = 30.7%. Distribution resembles Serie A with slightly more away wins (0:1 at 7.8%, 0:2 at 4.9%).
Goals markets, HT/FT & discipline
| Threshold | Frequency |
|---|---|
| Over 1.5 | 75.2% |
| Over 2.5 | 51.1% |
| Over 3.5 | 29.1% |
| Over 4.5 | 14.1% |
Over 2.5 = 51.1% β almost exactly 50/50. Neither over-heavy nor under-heavy. BTTS: 52.0% β mid-table.
| HT result | β Home | β Draw | β Away |
|---|---|---|---|
| Home winning | 78.4% | 14.8% | 6.8% |
| Drawing | 36.7% | 36.1% | 27.1% |
| Away winning | 10.0% | 22.6% | 67.4% |
Home comeback: 10.0% β lowest of any league. Away teams losing at HT draw 22.6% β highest of any league. Leading teams in Ligue 1 are more vulnerable to late equalisers.
Corners: r = β0.001 (full-match linear) β nearest to zero of any league. Yellows: 3.72/match. Reds: 21.8% β highest of any league. 1 in 5 matches has a sending-off, fundamentally changing match dynamics and invalidating pre-match implied probabilities.
Can you profit from betting Ligue 1?
Bet Home
β6.4%
Bet Draw
β7.2%
Bet Away
β5.5%
The most expensive league to bet on: 4.8% margin eats value even where calibration gaps exist. Away performs best (β5.5%) β strong visitors are underpriced.
ROI breakdown by cluster
| Cluster | n | Home | Draw | Away |
|---|---|---|---|---|
| Heavy Fav | 457 | β1.4% | β18.3% | β16.6% |
| Clear Fav | 810 | β6.7% | β0.9% | β5.9% |
| Slight Fav | 962 | β1.4% | β13.5% | β2.5% |
| Even | 613 | β10.4% | +7.8% | β10.4% |
| Underdog | 1,011 | β10.8% | β10.3% | +0.1% |
Draw in Even: +7.8% β consistent with La Liga (+9.5%) and Bundesliga (+10.7% Heavy Fav), but weakest of the group. The 4.8% margin absorbs more mispricing than in other leagues.
Away as Underdog: +0.1% β essentially break-even, not actionable. No strategy reliably beats the Ligue 1 margin.
β Retrospective ROI across 11 seasons β not a betting signal. These clusters reflect historical mispricing that the bookmaker margin largely absorbs; the pattern may not persist forward.
Dixon-Coles Ο for Ligue 1
Ο = β0.025 β moderate, third-strongest after Bundesliga (β0.096) and Serie A (β0.020).
At Ξ» (1.51, 1.20), Poisson underestimates 0:0 and 1:1 slightly. DC closes both to near zero. Stronger than EPL (β0.010) and La Liga (β0.007) despite similar avg goals β possibly because the high red card rate (21.8%) inflates low-score outcomes relative to pre-match Ξ».
For Ligue 1 in the calculator: set Ο between β0.02 and β0.03. Cross-league comparison β
Data: 3,856 Ligue 1 matches, 2015/16β2025/26 (2019/20 incomplete: 279/380; 18-team format from 2023/24). Source: football-data.co.uk. Last updated: May 2026.