Data-Driven Match Insights & Betting Value Analysis
Al Ittihad have kept 6 clean sheets in their last 10 home games and won to nil in 4 of their last 10 overall, while Damac have failed to score in 4 of their last 10 and average just 0.7 goals in their last 10 away. The model leans to BTTS No at 52.7%, matching this defensive/home vs blunt away attack pattern.
Home Win: 82.5%Al Riyadh (21 conceded in 10) and Al Fateh (16 in 10) have shipped 37 goals combined, with Riyadh seeing Over 2.5 goals in 7 of 10. The model makes Over 2.5 just 54.1% and Under 3.5 a strong 67.4%, hinting at goals but not a total collapse.
Oviedo have 5 clean sheets in their last 10 home games while scoring just 0.7 per home match, facing a Getafe side whose last 10 have seen BTTS only once and Under 1.5 goals in 5. Despite these cagey trends, Over 2.5 at 2.84 carries +23.3% model value (43.4% vs 35.2% implied).
Chesterfield are 7W-2D-1L in their last 10, with 6 of those wins by exactly 1 goal and 4 wins to nil. The market makes them 2.02 for the home win (implied ~49.5%), but given County’s 5 wins in 10 this looks more like a tight-margin game than a banker home success.
Mainz are 6W-1D-3L in their last 10 and 6W-2D-2L in their last 10 at home, while Union are just 2W-2D-6L both overall and away, with a -11 goal difference and four 2+ goal defeats in that span. Home win at 1.80 (implied 55.6%) is slightly overpriced versus the model’s 52.9%, so there’s no real value despite the strong trend.
Al Ittihad have kept 6 clean sheets in their last 10 home games and won to nil in 4 of their last 10 overall, while Damac have failed to score in 4 of their last 10 and average just 0.7 goals in their last 10 away. The model leans to BTTS No at 52.7%, matching this defensive/home vs blunt away attack pattern.
Milan have seen BTTS in just 1 of their last 10 and under 1.5 goals in 6 of those, with only 2 games going over 2.5. The teams’ recent scoring rates project just 1.8 total goals (0.7 + 1.1). Under 2.5 at 2.03 carries +5.5% value (model 51.98% vs implied 49.3%).
Both sides concede just 0.8 goals per game over their last 10, with Rennes logging 5 clean sheets and Paris 3 away, yet the model makes Under 2.5 goals slightly likelier (51.3%) than Over. With Under 2.5 priced at 2.74 (implied 36.5%), that defensive trend translates into roughly +40% value.
FC Barcelona are 9W-0D-1L in their last 10 overall and also 9W-0D-1L in their last 10 at home, scoring 3.1 per game with 5 clean sheets. Real Madrid are a more modest 5W-2D-3L in their last 10. Home Win at 1.75 (implied 57.1%) is slightly underpriced vs the model’s 59.6%, giving +4.2% value.
Toulouse have shipped 23 goals in their last 10 (2.3 per game) while Lyon have conceded just 11 in the same span and kept 4 clean sheets in their last 10 away – a clear defensive mismatch. Yet the market still prices home win at 4.4 (implied 22.7%) versus a 28.6% model chance, giving Toulouse +25.9% value for those backing an upset despite their fragility.
Both Auxerre and Nice are 2W-5D-3L in their last 10, each failing to score in 4 of those and producing just 3/10 Over 2.5s for Nice. With similar goal-shy form, Under 2.5 at 1.95 (model 55.8% vs implied 51.3%) carries +8.8% value.
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.
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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.
