Data-Driven Match Insights & Betting Value Analysis
Wigan average just 0.8 goals across their last 10 home games and BTTS has landed in only 2 of those, pointing to tight matches at the DW. Leyton Orient, however, have seen Over 2.5 in 7 of their last 10 overall and 8 of their last 10 away. The model makes Over 2.5 a 52.1% chance versus 1.98 odds (50.5% implied), giving a modest +3.2% value edge.
Home Win: 40.1%Atlético (25) and Barça (26) have combined for 51 goals in their last 10 each, with Over 2.5 landing in 8/10 Atlético and 7/10 Barça games; the model gives Over 2.5 at 1.54 a 64.7% chance vs 64.9% implied, so the attacking spectacle is priced very fairly.
Lens have hit 27 goals in 10 games (2.7 per match) with 8/10 over 2.5, while Lille have managed just 10 in that span and seen under 2.5 in 8/10. The market leans to goals (Over 2.5 at 1.83), but Lille’s cagey profile makes this attacking mismatch tactically intriguing.
Go Ahead’s games average 2 goals in 2H vs 1 in 1H and 7 of their last 10 saw most goals after the break, while 38% of PEC Zwolle’s goals arrive after 70 minutes. With the model giving 46.6% for 2H Over 1.5 (market 1.80, implied 55.6%), the late-goals angle is strong even without clear value.
Getafe’s matches are tight (6 conceded in 10, only 2/10 over 2.5), but Athletic’s away games are wild with 2.2 conceded per away game and 8/10 away over 2.5. Over 2.5 at 3.12 is priced for a cagey game, yet our model makes it 39.2% (implied 32.1%), a +22.2% value edge.
Volendam have conceded 16 in 10 games and failed to score in 5, while Feyenoord ship 2.1 goals per game in their last 10 away matches with 7/10 away games over 2.5. Despite Feyenoord’s attacking edge, both backlines look vulnerable; BTTS Yes at 1.58 aligns with a 63.7% model chance (only +0.6% value).
Heerenveen have scored in 9 of 10 (7 in a row) and 19 goals in that span, while Heracles have just 7 goals, a -17 goal difference and six 2+ goal defeats in their last 10. Home Win at 1.56 carries +5.8% value (model 67.8% vs implied 64.1%).
Angers have seen Under 1.5 in 5 of their last 10 and only 2/10 Over 2.5, with BTTS hitting just 2/10 – a clear low-scoring trend. Yet the model makes Over 2.5 goals 51.6% vs implied 45.5%, giving Over 2.5 @ 2.20 about +13.5% value in a market priced too cautiously by recent Angers data.
Bologna have kept 5 clean sheets in 10, winning to nil in 5, while Cremonese have failed to score in 6 of their last 10 and average just 0.7 goals at home. With BTTS No at 2.06 (model: 54.9% vs implied 48.5%, ~13% value), the defensive mismatch is clear.
Union have shipped 20 goals in 10 games (8 in their last 3) and lost by 2+ in 4 of 10, while Pauli have failed to score in 4 of 10 and average just 0.8 goals in their last 10 away. The model still edges Pauli: Away Win @3.85 carries +8.6% value (28.2% vs 26% implied).
Celta have scored in 10/10 matches and Valencia in 8/10, with BTTS landing in 7 of Valencia’s last 10 at home. Despite this, the market edges to BTTS No at 1.90; our model makes BTTS Yes ~50%, implying no big edge but a genuinely balanced goal-trade battle.
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.
