Data-Driven Match Insights & Betting Value Analysis
Lazio are winless in 3 and haven’t scored in any of those, failing to net in 5 of their last 10, while Sassuolo come in on a 3‑game winning streak (5W-1D-4L last 10). This form gap aligns with Away Win at 3.58, where the model’s 33.4% vs 27.9% implied gives +19.7% value.
Home Win: 37.4%Oxford and Blackburn both average just 0.7 goals in their last 10 home/away games, with the model projecting only 1.8 total goals. Despite that, Over 2.5 at 2.16 carries +3.9% value (model 48.1% vs 46.3% implied), suggesting the market may be slightly overrating the recent drought.
Southampton come in 7W-2D-1L with 21 goals in 10, while West Brom are 0W-4D-6L with just 6 goals and a -14 GD, conceding 2 per game. Yet the market prices them nearly level (2.48 vs 2.70), making Away DNB at 1.77 look a safer way to side with the in‑form Saints.
Norwich are 8W-0D-2L with 22 goals in 10 games (2.2 per match) and a +16 GD, while Sheffield United have managed just 14 goals in the same span. The model makes the Canaries 40.7% to win vs 38.2% implied at 2.62, giving the Home Win about +6.6% value.
Port Vale have failed to score in 6 of their last 10 and in each of their last 3, yet Bradford have shipped 12 goals in 10 and won just 2. The model still makes Vale 39.6% favourites; Home Win at 2.87 (implied 34.8%) carries +13.8% value.
AFC Wimbledon matches average 1.9 goals in the 2nd half vs just 0.9 in the 1st, while Blackpool’s games are also skewed late with 6.9 corners in 2H vs 3.8 in 1H. The model’s 76.2% for Over 0 1H Goals hints at a quieter start before things open up after the break.
Recent scoring rates project just 2.0 total goals (1.1 + 0.9), with QPR netting only 0.8 per game in their last 10 away. Despite Birmingham’s BTTS-heavy home record, the model makes Under 2.5 a 50.7% chance vs odds 2.00 (implied 50%), giving a modest +1.4% value edge.
Boro have hit 18 goals and scored in 9 of their last 10, while Charlton managed just 8 in the same span and have been outshot in 7 of 10 – a clear attacking mismatch. That gap helps justify a short 1.09 home price but limits value on backing Boro outright.
Our model shows a -5.31% value edge for Both Teams To Score. The home side’s matches have featured both teams scoring in 83% of games overall and in every one of its last five fixtures. The visitors also hit BTTS in 88% of their games overall, though only once in their last five. These high frequencies support the model’s positive outlook.
Real Madrid (22) and City (21) have combined for 43 goals in their last 20 matches, averaging 4.3 per game, with both scoring in 9/10 and 10/10 respectively. Over 2.5 Goals at 1.57 (implied 63.7%) is slightly undervalued versus the model’s 64.7%, a +1.6% edge.
PSG (20) and Chelsea (24) have combined for 44 goals in their last 20 games, with PSG scoring in 10/10 and Chelsea in 9/10. Over 2.5 has landed in 7/10 PSG and 8/10 Chelsea matches, yet Over 2.5 at 1.60 implies 62.5% vs a 61.1% model chance (near fair), so the attacking trends back goals even without big value.
Coventry are 6W-1D-3L over their last 10 and 8W-1D-1L in their last 10 at home, while Preston are 1W-3D-6L with no wins in 3 and a -12 goal difference. Despite the clear form contrast, the draw at 4.85 (implied 20.6%) is +9.3% value versus the model’s 22.5%, making stalemate a live underdog outcome.
BTTS (Both Teams To Score) probability indicates the likelihood that both teams will score at least one goal during the match, based on offensive and defensive statistics. Explore more BTTS statistics and trends across different leagues.
Value edge represents the percentage difference between our AI's calculated probability and the bookmaker's implied odds. A positive value suggests the bet may offer value. Find more opportunities on our value bets page.
Our AI model has been tested on thousands of historical football matches and achieves accuracy rates above industry standards. You can track our performance with our bet tracking tool. However, football is inherently unpredictable and no prediction is guaranteed.
We provide AI predictions for major European leagues including the Premier League, La Liga, Serie A, Bundesliga, Ligue 1, and Championship. View all leagues on our fixtures page.
Betting Guides | Value Bets | Football Trends | Corner Predictions | Correct Score | Form Guide | xG Stats | Custom Filters
OddAlerts is a football analytics platform providing AI-powered predictions since 2020. Our prediction model is developed by sports data scientists and continuously refined using machine learning techniques. We analyze over 100,000 matches annually across 2,500+ leagues to provide the most accurate and valuable insights. Discover trends, explore custom filters, or join thousands using our alert system.
