Data-Driven Match Insights & Betting Value Analysis
Both sides lean heavily on late action: Fleetwood see 1.6 goals on average in 2H vs 0.7 in 1H, and 50% of their goals come after 70 minutes, while 41% of Cheltenham’s strikes also arrive after 70. With 6 of each team’s last 10 matches having most goals after the break, 2nd-half goals markets look attractive.
Home Win: 47.1%Three of Alavés’s last 10 matches have seen a red card, while Villarreal bring high-scoring, open games (Over 2.5 in 8/10) into a fixture priced for just moderate goal expectancy (Over 3.5 at 2.97, model 31.7%). Their combined chaos suggests elevated risk for cards and late swings.
Bolton have scored in 9 of their last 10 and in 8 straight, while Rotherham have failed to score in 5 of 10 and average just 0.7 goals in their last 10 home games. The model gives Bolton 77.0% to net (o0.5 away goals) and Rotherham only 57.0% (o0.5 home goals), underlining the attacking mismatch.
Harrogate have failed to score in 5 of their last 10 and average just 0.8 goals in their last 10 home games, losing to nil in 4 of 10. Salford, meanwhile, have scored in 5 straight. The model leans to Salford on the result (away win 45.66% vs home 29.92%).
Notts County are 7W-1D-2L in their last 10, conceding just 7 goals with 0.73 xGA per game and 4 clean sheets in their last 10 at home. They’ve won by exactly one goal in 6 of those 10, so while the model makes them favourites (home win 50.65%), handicaps around Notts -1 look risky with a strong chance of another tight victory.
Girona have scored in 9 of their last 10 and Athletic in 8 of 10, with BTTS landing in 7/10 Girona games and 8/10 Athletic games, especially away (8/10). BTTS Yes at 1.77 implies 56.5% while the model is 54.2% – a slim negative edge, so goals at both ends are likely but not a value angle.
Frankfurt and Heidenheim have shipped 44 goals in their last 20 combined (2.2 per game each), with Frankfurt matches seeing 4+ goals in 6 of 10. Yet the model gives Over 2.5 at 60.5% vs implied 63.7% from 1.57, suggesting the goal line is slightly inflated despite the chaos.
Hoffenheim are 8W-0D-2L in their last 10 home games, scoring 2.5 per match and winning by 2+ in half of their last 10 overall, while Wolfsburg have shipped 29 in 10 (2.9 per game) with a -16 GD and 9 conceded in their last 3. The model makes Hoffenheim 58.6% for the win (vs implied 33.9% from the flat 3-way odds), strongly backing the home side in a defensive mismatch.
Dortmund are 7W-1D-2L in their last 10 at home with 5 clean sheets, while Augsburg are 2W-1D-7L away, conceding 2.1 goals per game and seeing O2.5 in 7/10 trips. The 1.38 home win implies 72.5% vs a 63.2% model chance, so backing Dortmund is more about form than value.
Sunderland (13 conceded in 10) and Brighton (12 in 10) profile for a projected 2.0 total goals (1.1 + 0.9). Model makes Under 3.5 at 71.6% vs implied 78.7% at 1.27 (no value), but the numbers strongly argue against a goal fest above 3.5.
Barrow are 1W-1D-8L in their last 10, conceding 18 and allowing 1.8 goals vs 1.24 xGA per game, while being outshot in 7/10. Accrington are more solid (10 conceded in 10) but low-event, with just 3/10 over 2.5 goals and a projected total of 1.9 goals; the model leans under 2.5 at 52.2%.
Burnley have seen BTTS in 7 of their last 10 home games, while Bournemouth have BTTS in 7 of their last 10 away, both conceding around 2 goals per game in those spans. The market has BTTS Yes at 1.57 (implied 63.7%) versus a model BTTS probability of 53.0%, suggesting entertainment but no clear value on the price.
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.
