Action in EFL League One continues at a relentless pace as clubs prepare for an immediate midweek slate on Tuesday, October 27, followed swiftly by Matchweek 14 across October 31 and November 1. With promotion ambitions and playoff berths hanging in the balance, squad rotation and recovery will be tested to the limit across back-to-back fixtures. Every point earned during this packed autumn window could prove decisive in shaping the top six.

Tuesday night’s midweek action under the lights features five crucial clashes, headlined by Leicester City hosting Wigan Athletic, Luton Town welcoming Doncaster Rovers to Kenilworth Road, and Oxford United battling promotion contenders Stockport County, alongside Sheffield Wednesday facing Cambridge United at Hillsborough and Milton Keynes Dons taking on Bromley. Attention then turns to the weekend’s marquee derbies as Bradford City collides with Huddersfield Town, Mansfield Town meets local rivals Notts County, and Peterborough United squares off against Luton Town. Explore our advanced AI-driven match predictions, detailed team statistics, and data analytics for every upcoming encounter in EFL League One.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for EFL League One round 13. Asian refers to the recomended asian handicap line.

Both Teams to Score

BTS (Both Teams to Score) is a popular betting market in sports, especially in soccer. In a BTS bet, you’re wagering on whether both teams in a match will score at least one goal each. The table below shows the BTS stats for the home team at home and the away team away.

Totals

The table below shows the goal averages for each encounter based on home teams average performance (goals scored and conceded) at home, and away teams average performance away. We use poisson distribution to calculate probabilities for over and under 2.5 goal. For your convienence we have converted the probabilities to decimal odds.

First Half Goals

The table below shows estimated first-half goal probabilities using Poisson distribution. HT Avg is the expected number of goals before half-time. O/U 0.5 FH and O/U 1.5 FH are the corresponding over/under odds for the first half.

Early Goals (First 15 Minutes)

The table below shows the probability of a goal being scored in the first 15 minutes. EG Home/Away (%) is the historical frequency across all matches for each team. Poisson ≥1 (%) is the model-estimated probability of at least one early goal in this fixture.

Corners Over/Under 9.5

The table below shows the predicted corner totals for each fixture using strength-of-schedule adjusted ratings. Corner Avg is the expected total corners. +9.5 and -9.5 odds are the model-estimated decimal odds for over and under 9.5 total corners.

We also have calculated the average goals scored and conceded for the teams. See the table below.

Correct Score Predictions

These projections are generated using advanced statistical models that evaluate team strength, expected‑goals data, and historical scoring patterns. The table below highlights the most probable scorelines based on current performance indicators and model‑driven probability weighting.