Data-Driven Match Insights & Betting Value Analysis
Our model shows a +11.55% value edge for Under 2.5 goals (model rating 34.64% vs implied 23.09%). Bayern’s home matches have conceded only 0.93 goals on average and keep a clean sheet in 36% of games, while Stuttgart’s away defence lets in 1.71 goals per game. Yet the last five meetings averaged four goals, indicating a high‑scoring trend that the odds seem to ignore.
Home Win: 64.7%City are 8W-1D-1L in their last 10 at home and on a 3-game winning run, but Arsenal are 6W-3D-1L in their last 10 away and have conceded just 9 in their last 10 overall, with 4 wins to nil. The model gives Arsenal a 33.2% win chance vs 23.2% implied at 4.31, a hefty +43.3% value on the away win.
Our model shows a +11.55% value edge for Under 2.5 goals (model rating 34.64% vs implied 23.09%). Bayern’s home matches have conceded only 0.93 goals on average and keep a clean sheet in 36% of games, while Stuttgart’s away defence lets in 1.71 goals per game. Yet the last five meetings averaged four goals, indicating a high‑scoring trend that the odds seem to ignore.
Pisa are 1W-1D-8L in their last 10, with just 5 goals scored and 21 conceded, and have failed to score in 7 of those. Yet the model still rates them 35.4% to win vs implied 28.2% at 3.55, making Home Win a +25.5% value play despite horrendous form.
Mainz are 5W-4D-1L over their last 10 and come in on a 5‑game winning streak, while Gladbach are just 2W-4D-4L and winless in 3. The form contrast is stark, and Away Win at 2.86 carries a small positive edge (+0.7% value, model 35.2% vs 35% implied).
Our model assigns a +6.6% value edge to a draw. PSG have won all five of their recent home games and have not drawn, while Lyon have managed two draws in their last five. The head‑to‑head record shows zero draws in the last five meetings, making a draw a surprise and therefore profitable at current odds.
Juventus have 5 clean sheets in their last 10 home games, while Bologna have 4 clean sheets in their last 10 away and 4 wins to nil overall. With both teams conceding around 1.2–1.6 goals per 10-game sample, Under 2.5 Goals at 2.12 (model 51.2% vs implied 47.2%) carries +8.5% value.
Lecce have failed to score in 5 of their last 10 games and in each of their last 3, with only 0.8 goals per game across their last 10 at home. Despite this attacking slump, BTTS Yes is priced at 1.99 but rated 53.7% by the model (implied 50.3%), giving +6.8% value for those expecting Lecce to finally break their drought.
Palace are 6W-3D-1L in their last 10, with only 6 goals conceded and 5 clean sheets, plus 6 clean sheets in their last 10 at home and a current 3-game winning run. Our model gives them a 53.4% win chance vs 43.1% implied at 2.32, making the Home Win a +24% value spot.
BTTS has landed in 8 of Mallorca’s last 10 home matches, and they’ve conceded 15 goals in their last 10 overall while Valencia have 13 conceded in the same span. The model has BTTS at 50% vs odds 1.86 (implied 53.8%), so the market is slightly against you despite strong recent BTTS trends.
Athletic have failed to score in 5 of their last 10 and lost to nil in all 5 defeats, while Osasuna have scored in 8 of 10 and in 5 straight. With Away Win at 4.76 carrying +21% model value (25.4% vs 21% implied), the visitors look a live underdog.
Southampton matches average 11.2 corners (over 9.5 landed in 7/10), while Bristol City’s games average 5.3 cards with over 4.5 cards in 7/10. The model gives 39.8% for over 10 corners vs 1.52–1.83 prices on high corner lines, suggesting corners markets are correctly priced but combining high corners with cards in bet builders fits the statistical profile.
Cheltenham have scored 17 goals in their last 10 compared with Tranmere’s 4, while Tranmere are 0W-2D-8L with a -16 goal difference and 2 goals conceded per game. Yet home win is 2.16 (46.3% implied) vs a 43.5% model chance, so the price broadly reflects the mismatch with no clear 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.
