Data-Driven Match Insights & Betting Value Analysis
Lazio are winless in 3 and haven’t scored in any of those, failing to net in 5 of their last 10, while Sassuolo come in on a 3‑game winning streak (5W-1D-4L last 10). This form gap aligns with Away Win at 3.58, where the model’s 33.4% vs 27.9% implied gives +19.7% value.
Home Win: 37.4%Burnley are only 2W-3D-5L in their last 10 but are overperforming their xG (1.6 scored vs 1.05 xG) and face a Bournemouth side winless in 3 and conceding 2.2 goals per game in their last 10 away. The model gives Burnley a 34.4% chance of victory vs 24.4% implied at 4.10, a +40.8% value edge on the home win.
Crewe have conceded just 8 goals in their last 10, running under xGA (0.8 vs 1.42) and winning 5 of those by exactly one goal. Walsall have failed to score in 5 of 10 and lost to nil 3 times, backing markets like Walsall under 0.5/1.5 goals despite BTTS being priced around a 55% chance by the model.
Oldham come in with 4 straight clean sheets and just 12 conceded in 10, while Grimsby combine 5 away clean sheets in 10 with Under 1.5 goals in half their recent matches. The model leans slightly to a cagey contest: Under 2.5 at 54.8% vs only 45.2% for Over.
Leyton Orient have seen BTTS in 8 of their last 10 home games and Over 2.5 in 7 of their last 10 overall, while Peterborough have conceded 15 in their last 10. The model’s BTTS probability is 59.1%, slightly higher than the 57.1% implied by a typical 1.75 price, hinting at small value on goals at both ends.
Northampton have failed to score in 4 of their last 10 and lost to nil in 3 of those, while Burton have scored in 8 of 10. With the model giving Burton 65.9% to net (o0.5 away goals) and Northampton only 71.0% (o0.5 home), side markets favour Burton finding the net more consistently.
Bromley arrive 4W-6D-0L in their last 10 and 6W-4D-0L in their last 10 at home, while Bristol Rovers are just 1W-2D-7L in their last 10 away and score only 0.6 goals per away game. The model gives Bromley a 56.5% home win chance and 82.3% on 1X double chance.
Barnet have allowed just 10 goals and kept 5 clean sheets in their last 10, while Newport have failed to score in 6 of 10 and lost to nil in 4. With BTTS No modelled at 51.3% and a projected total of only 1.8 goals, Newport’s attack looks a poor fit for Barnet’s solidity.
Volendam have conceded just 12 in their last 10 compared to Fortuna’s 23, yet the market prices them only slight favourites at 2.53. With a 6W-2D-2L home run and modelled 51.7% win chance, Home Win at 2.53 carries +30.8% value.
Lorient are 6W-3D-1L in their last 10 and have scored in 8 of them, often winning big (5 wins by 2+ goals), yet the market prices them 3.90 at home. With the model giving Lorient a 35.1% chance (vs 25.6% implied), Home Win offers about +37% value.
Napoli have scored 16 goals and netted in 9/10 matches, while Lecce managed just 6 goals and failed to score in 6/10. With Lecce losing to nil in half of those games, the model gives Napoli a 64.9% win chance vs 72.5% implied at 1.38, suggesting the 1x2 home price is slightly short rather than value.
Hamburg have conceded just 11 in their last 10, outperforming their xGA (1.1 goals vs 1.67 xGA per game), while Köln have shipped 19 in the same span and taken only 2W-2D-6L. Despite Köln’s poor numbers, Away Win at 3.55 still shows +5.4% model value (29.7% vs 28.2% implied), so defensive trends don’t fully justify writing them off.
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.
