Season Overview

The 2025/2026 Serie B season was a compelling blend of unpredictability and opportunity, with a total of 390 fixtures analysed and 317 fixtures featuring valid model signals. The overall signal hit rate across all fixtures stood at 58.7%, indicating a high degree of accuracy in our predictive models.

Signal Performance

The performance of signals varied significantly based on their star rating, with the highest-rated (★★★) signals delivering the most consistent results. Here’s a breakdown:

- ★★★: 17 bets, 17 won (100.0% hit rate)

- ★★: 106 bets, 66 won (62.3% hit rate), 26 draws

- ★: 78 bets, 35 won (44.9% hit rate), 29 draws

- Overall: 118/201 (58.7%)

- ★★★: 10 bets, 5 won (50.0% hit rate), 3 draws

- ★★: 72 bets, 33 won (45.8% hit rate), 23 draws

- ★: 34 bets, 10 won (29.4% hit rate), 12 draws

- Overall: 48/116 (41.4%)

The home signals, particularly the ★★★ rated ones, outperformed away signals, highlighting the importance of considering home advantage in betting strategies.

Match Winner P&L

Backing Every Signal

Betting on every signal with available odds resulted in:

Value Bets Only (Edge > 0)

Filtering to only value bets (edge > 0) resulted in:

While backing every signal generated a positive P&L, filtering to value bets significantly improved ROI, indicating that selective betting can be more profitable.

BTTS by Probability Bracket

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

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

| <45% | 12 | 66.7%| 12 | +3.51 | 29.3% | 0 | - | - |

| 45-50% | 47 | 48.9%| 46 | -3.44 | -7.5% | 4 | -1.80 | -45.0% |

| 50-55% | 85 | 47.1%| 85 | -10.19 | -12.0% | 39 | -8.83 | -22.6% |

| 55-60% | 54 | 48.1%| 53 | -8.79 | -16.6% | 26 | -5.01 | -19.3% |

| 60-65% | 22 | 68.2%| 21 | +2.43 | 11.6% | 13 | +1.10 | 8.5% |

| 70%+ | 78 | 56.4%| 78 | +1.62 | 2.1% | 30 | +0.80 | 2.7% |

| Total| 217 | 53.1%| 217| -16.48| -7.6%| 82| -14.54| -17.7%|

The overall actual rate of 53.1% closely matched the V12 model average, suggesting the model's predictions were accurate.

Over 2.5 by Probability Bracket

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

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

| <45% | 44 | 50.0%| 44 | +4.35 | 9.9% | 7 | +2.60 | 37.1% |

| 45-50% | 50 | 42.0%| 50 | -6.50 | -13.0% | 23 | -2.70 | -11.7% |

| 50-55% | 66 | 47.0%| 66 | -4.55 | -6.9% | 42 | -3.69 | -8.8% |

| 55-60% | 40 | 52.5%| 38 | -3.67 | -9.7% | 22 | -2.21 | -10.0% |

| 60-65% | 20 | 65.0%| 20 | +2.70 | 13.5% | 15 | +1.63 | 10.9% |

| 70%+ | 70 | 55.7%| 70 | +2.02 | 2.9% | 20 | +0.44 | 2.2% |

| Total| 218 | 48.2%| 218| -7.67| -3.5%| 109| -4.37| -4.0%|

The actual rate of 48.2% was slightly below the V12 model average of 50.7%, indicating the model slightly overestimated the number of over 2.5 goals fixtures.

Team Analysis

Over-Performers

Under-Performers

Signal Hit Rates by Team

Players to Follow

Top Scorers

Top Assisters

Players to Watch

Key Takeaways