England’s EFL League One charges into a critical stretch as clubs prepare for Matchweek 15 on Saturday, November 14, with the battle for automatic promotion, playoff positioning, and relegation survival intensifying across the division. The weekend’s marquee action features heavyweight contenders Leicester City welcoming Bradford City to the King Power Stadium in front of a capacity crowd, while promotion hopefuls Luton Town lock horns with Cambridge United at Kenilworth Road. Elsewhere, Peterborough United face a stern tactical test against Oxford United, and Sheffield Wednesday host Plymouth Argyle at Hillsborough.

The packed Saturday afternoon card also delivers intriguing clashes across the country, highlighted by Wycombe Wanderers taking on Huddersfield Town at Adams Park, Wigan Athletic squaring off with Barnsley, and Stockport County entertaining Reading, alongside regional duels featuring Stevenage against Mansfield Town, AFC Wimbledon meeting Blackpool, and Bromley hosting Notts County. In a division defined by narrow tactical margins, set-piece execution, and relentless physical tempo, data-driven analysis is vital. Explore our advanced AI match predictions, probabilistic simulations, and granular analytical metrics to stay ahead of every League One encounter.

1X2 Match Projections

We let our algorithms crunch the numbers, dig into recent team stats, and do the heavy lifting so you don’t have to! Here is our 1X2 outlook for EFL League One at a glance.

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.