Data-Driven Match Insights & Betting Value Analysis
Middlesbrough concede just 0.5 goals per game at home with 5 clean sheets in their last 10 there, but Millwall have scored in 10/10 matches and won to nil in 4 of their last 10. The model leans slightly to a low total (Under 2.5 at 2.20 holds +7.4% value, 48.8% vs 45.5% implied).
Home Win: 47.7%Le Havre (0.7 home gpg, 6 blanks in 10) and Auxerre (0.8 away gpg, 7 blanks in 10 with three 0-0s) have a projected total of just 1.5 goals. Under 2.5 at 1.66 (implied 60.2%) is in line with the model’s 55.3%, so stats back a low-scorer even if value is marginal.
Lorient are 6W-4D-0L in their last 10 home games with 4 home clean sheets, while Paris have failed to score in 5 of their last 10 overall and drawn 0-0 three times. That defensive edge underpins Home Win at 2.37, which our model rates +10.5% value (46.6% vs 42.2% implied).
Frankfurt’s overall form is modest (3W-2D-5L last 10) but Köln are 0W-3D-7L in their last 10 away, scoring just 0.8 per game and conceding 18 in their last 10 overall. With Frankfurt scoring in 8/10 and keeping 4 home clean sheets in 10, Home Win at 2.25 (+8% value vs 48.0% model) looks a justified favourite angle.
Al Akhdoud have shipped 26 goals in 10 (2.6 per game) and Al Fateh 18, for 44 conceded across their last 20 combined. Both sides see more goals after the break (Akhdoud 2H: 2.3 vs 1.2, Fateh 2H: 1.8 vs 1.2), aligning with the model’s 63% for Over 2.5 and 39.9% for Over 3.5.
Pisa have shipped 24 goals in their last 10 games (2.4 per match), while Torino have conceded 21 in the same span (2.1), for 45 goals allowed across 20 combined fixtures. With both overperforming their xGA in the wrong way, Over 2.5 Goals at 2.38 carries +12.9% value (model 47.5%, implied 42%).
Oviedo concede just 0.6 goals per game and have 6 clean sheets in their last 10 at home, but score only 0.4 per game. Sevilla have scored in 9 of 10 overall and BTTS landed in 8 of those. This clash of a strong home defence and consistent away attack underpins BTTS Yes at 1.98 (+7.5% value).
Al-Qadsiah have 24 goals in their last 10 (2.4 per game), scoring in all 10 and averaging 15.8 shots, while Al Ettifaq have shipped 19 in the same span and been outshot in 8/10. The model makes away win 62.3% (1.60 fair) vs market 1.38, so the price reflects their dominance but offers no value.
Al Shabab have hit 29 goals in 10 games (2.9 per match) and scored in 8 straight, while Al Riyadh have just 9 goals and failed to score in 4 of 10. Our model makes Al Shabab 50.3% to win (fair odds 1.99) vs market 1.91, so the away price is close to fully squeezed.
Monaco have seen 4+ goals in 6 of their last 10 and Marseille in 5 of their last 10, with both hitting Over 2.5 in 7 of 10. The model makes Over 2.5 goals 64.3% vs implied 62.5% at 1.60, a modest +2.8% value in what profiles as a wide-open Ligue 1 clash.
Inter concede just 0.86 xGA per game over their last 10, and only 10 goals in that stretch, while Roma have shipped 15 in their last 10. The market makes Inter 1.66 (implied 60.2%) but the model has them at 56.9%, so there’s no value on the home win despite the defensive edge.
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.
