Ligue 1 2025/2026 End-of-Season Analysis

Season Overview

This season's Ligue 1 campaign saw a total of 310 fixtures analysed, with 266 fixtures featuring valid model signals. The overall signal hit rate for the season stood at 57.7%, indicating a season with mixed performance from our predictive models.

Signal Performance

The performance of our signals varied significantly based on their star ratings and match types. Home signals were the most successful, particularly those rated with three stars, achieving an 86.1% hit rate from 36 bets. Away signals, however, lagged behind, with the highest accuracy coming from three-star signals at 70.6% from 17 bets.

- ★★★: 31 wins from 36 bets (86.1%)

- ★★: 41 wins from 74 bets (55.4%)

- ★: 25 wins from 58 bets (43.1%)

- ★★★: 12 wins from 17 bets (70.6%)

- ★★: 27 wins from 61 bets (44.3%)

- ★: 4 wins from 20 bets (20.0%)

Match Winner P&L

The two approaches to betting on match winners provided contrasting outcomes. Betting on every signal with available odds resulted in a loss, with a P&L of -4.31 units and an ROI of -2.91%. Filtering for value bets (edge > 0) showed a more positive outcome, with a P&L of +4.25 units and an ROI of +9.66%.

- Bets: 148

- Wins: 73 (49.3%)

- P&L: -4.31 units

- ROI: -2.91%

- Bets: 44

- Wins: 14 (31.8%)

- P&L: +4.25 units

- ROI: +9.66%

Filtering for value bets clearly added meaningful edge, turning a losing strategy into a profitable one.

BTTS by Probability Bracket

The performance of BTTS (Both Teams To Score) bets varied across different probability brackets. The overall actual rate was 49.7%, slightly below the V12 model average of 50.1%.

| Bracket | Fixtures | Hit% | Back All Bets | Back All P&L | Back All ROI | Value Bets | Value P&L | Value ROI |

|---------------|----------|------|---------------|--------------|--------------|------------|-----------|-----------|

| <45% | 27 | 59.3%| 27 | +2.00 | 7.4% | 0 | - | - |

| 45-50% | 59 | 52.5%| 59 | -5.66 | -9.6% | 0 | - | - |

| 50-55% | 53 | 35.8%| 52 | -19.82 | -38.1% | 8 | -6.05 | -75.6% |

| 55-60% | 25 | 68.0%| 25 | +1.95 | 7.8% | 4 | -0.47 | -11.8% |

| 60-65% | 2 | 50.0%| 2 | -0.56 | -28.0% | 0 | - | - |

| TOTALS | 165 | | 165 | -22.09 | -13.4% | 12 | -6.52 | -54.3% |

Over 2.5 by Probability Bracket

The performance of Over 2.5 goals bets also varied across different probability brackets. The overall actual rate was 51.6%, slightly above the V12 model average of 49.9%.

| Bracket | Fixtures | Hit% | Back All Bets | Back All P&L | Back All ROI | Value Bets | Value P&L | Value ROI |

|---------------|----------|------|---------------|--------------|--------------|------------|-----------|-----------|

| <45% | 38 | 44.7%| 38 | -5.30 | -13.9% | 0 | - | - |

| 45-50% | 49 | 46.9%| 49 | -10.01 | -20.4% | 5 | -2.75 | -55.0% |

| 50-55% | 42 | 45.2%| 41 | -8.40 | -20.5% | 7 | -3.00 | -42.9% |

| 55-60% | 26 | 73.1%| 26 | +2.01 | 7.7% | 4 | -2.20 | -55.0% |

| 60-65% | 10 | 80.0%| 10 | +2.02 | 20.2% | 2 | +1.47 | 73.5% |

| 65-70% | 1 | 0.0% | 1 | -1.00 | -100.0% | 0 | - | - |

| TOTALS | 165 | | 165 | -20.68 | -12.5% | 18 | -6.48 | -36.0% |

Team Analysis

Several teams over-performed relative to their expected goals (xG):

On the flip side, some teams under-performed:

The model's signal hit rates were notably high for Paris Saint Germain (73.3%) and Lens (67.9%).

Players to Follow

Several standout performers in terms of goal scoring and assists were observed:

- Esteban Lepaul (Rennes): 21 goals, 37/64 shots on target

- Mason Greenwood (Marseille): 16 goals, 45/81 shots on target

- Joaquin Panichelli (Strasbourg): 16 goals, 31/51 shots on target

- Ludovic Ajorque (Stade Brestois 29): 9 assists

- Adrien Thomasson (Lens): 9 assists

- Endrick (Lyon): 7 assists

Players to Watch:

Key Takeaways

This season's data provides valuable insights for refining betting strategies moving forward. Focus on high-star signals and value bets to improve profitability.