Data-Driven Match Insights & Betting Value Analysis
Accrington have scored just 4 goals in 10 games and failed to net in their last 3, while Crewe have 13 goals and 5 wins in that span. The model gives Crewe a 51.4% win chance vs 42.6% implied at 2.35, making Away Win a +20.9% value play.
Home Win: 23.7%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.
Cambridge have conceded just 6 goals in 10, with 5 clean sheets and 3 in a row, backed by only 0.86 xGA per game. Swindon have scored in 10/10. The model leans slightly to BTTS (52.6%) but odds 1.67 (implied 59.9%) offer no value, so backing Cambridge’s defensive solidity via home result markets is more logical.
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).
Accrington have scored just 4 goals in 10 games and failed to net in their last 3, while Crewe have 13 goals and 5 wins in that span. The model gives Crewe a 51.4% win chance vs 42.6% implied at 2.35, making Away Win a +20.9% value play.
Oxford have scored just 0.6 goals per game in their last 10 at home and have failed to score in 5 of their last 10 overall, yet Hull have shipped 21 goals in their last 10 (2.1 per game). The model leans to Hull’s quality with Away Win at 2.88 priced for 34.7% but rated 39.5% (+13.8% value).
Plymouth average 2.4 goals scored and Bolton 1.8, with a combined 42 goals in their last 20 games and a model projection of 4.2 total. Over 3.5 has already landed in 5 of the last 10 for both sides, making goal-heavy outcomes a central angle here.
Rotherham have failed to score in 7 of their last 10 and lost to nil in 6 of those, while Stevenage have shipped only 11 goals in 10 and kept 4 clean sheets. With a projected total of 1.5 goals, modelled BTTS No at 51.81% supports a low‑scoring, one‑sided scoreline.
Charlton have seen Over 2.5 in just 1 of their last 10, with 6/10 under 1.5 and only 8 goals conceded, while Bristol City have failed to score in 5 of 10 and lost to nil in 5 of those. Under 2.5 at 1.75 (implied 57.1%) vs model 55.4% shows the market already prices this defensive, cagey script tightly.
Newport have failed to score in 5 of their last 10, while Crawley have drawn a blank in 7 of 10 and average just 0.2 goals across their last 10 away games. The model’s projected total is only 1.4 goals (1 + 0.4), with Under 2.5 priced near a 50.3% chance, suggesting a low-margin, low-scoring contest.
QPR’s home matches are wide open – Over 2.5 has landed in 9 of their last 10 at Loftus Road and they’ve hit 9 goals in their last 3 overall, despite conceding 19 in their last 10. The model makes a QPR win 40.6% vs 37.6% implied by 2.66, giving the Home Win around +8% 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.
