Latest League Two AI Predictions: Results, Goals & Promotion Odds

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Last updated: 2026-10-09

Game #1

York

HOME
VS

Northampton

AWAY

Match Result Probability

York
53.7%
Draw
26.3%
Northampton
20.0%

Over/Under 2.5 Goals

Over 2.5
50.3%
Under 2.5
49.7%

Goal/No Goal

Goal
49.6%
No Goal
50.4%

Predicted Result

Home Over 2.5 No Goal

Game #2

Rotherham

HOME
VS

Gillingham

AWAY

Match Result Probability

Rotherham
42.7%
Draw
30.8%
Gillingham
26.5%

Over/Under 2.5 Goals

Over 2.5
46.5%
Under 2.5
53.5%

Goal/No Goal

Goal
49.3%
No Goal
50.7%

Predicted Result

Home Under 2.5 No Goal

Game #3

Oldham

HOME
VS

Accrington

AWAY

Match Result Probability

Oldham
41.5%
Draw
30.4%
Accrington
28.2%

Over/Under 2.5 Goals

Over 2.5
50.6%
Under 2.5
49.4%

Goal/No Goal

Goal
52.3%
No Goal
47.7%

Predicted Result

Home Over 2.5 Goal

Game #4

Newport County

HOME
VS

Colchester

AWAY

Match Result Probability

Newport County
38.9%
Draw
31.4%
Colchester
29.7%

Over/Under 2.5 Goals

Over 2.5
50.6%
Under 2.5
49.4%

Goal/No Goal

Goal
52.5%
No Goal
47.5%

Predicted Result

Home Over 2.5 Goal

Game #5

Shrewsbury

HOME
VS

Exeter

AWAY

Match Result Probability

Shrewsbury
38.5%
Draw
31.3%
Exeter
30.2%

Over/Under 2.5 Goals

Over 2.5
43.6%
Under 2.5
56.4%

Goal/No Goal

Goal
45.5%
No Goal
54.5%

Predicted Result

Home Under 2.5 No Goal

Game #6

Bristol Rvs

HOME
VS

Barnet

AWAY

Match Result Probability

Bristol Rvs
37.5%
Draw
30.9%
Barnet
31.6%

Over/Under 2.5 Goals

Over 2.5
52.2%
Under 2.5
47.8%

Goal/No Goal

Goal
56.2%
No Goal
43.8%

Predicted Result

Home Over 2.5 Goal

Game #7

Tranmere

HOME
VS

Rochdale

AWAY

Match Result Probability

Tranmere
36.5%
Draw
31.7%
Rochdale
31.7%

Over/Under 2.5 Goals

Over 2.5
47.2%
Under 2.5
52.8%

Goal/No Goal

Goal
50.3%
No Goal
49.7%

Predicted Result

Home Under 2.5 Goal

Game #8

Fleetwood Town

HOME
VS

Walsall

AWAY

Match Result Probability

Fleetwood Town
36.4%
Draw
31.7%
Walsall
31.9%

Over/Under 2.5 Goals

Over 2.5
49.3%
Under 2.5
50.7%

Goal/No Goal

Goal
51.4%
No Goal
48.6%

Predicted Result

Home Under 2.5 Goal

Game #9

Swindon

HOME
VS

Crewe

AWAY

Match Result Probability

Swindon
34.4%
Draw
30.9%
Crewe
34.7%

Over/Under 2.5 Goals

Over 2.5
50.0%
Under 2.5
50.0%

Goal/No Goal

Goal
50.6%
No Goal
49.4%

Predicted Result

Away Under 2.5 Goal

Game #10

Port Vale

HOME
VS

Grimsby

AWAY

Match Result Probability

Port Vale
30.2%
Draw
29.3%
Grimsby
40.5%

Over/Under 2.5 Goals

Over 2.5
46.9%
Under 2.5
53.1%

Goal/No Goal

Goal
50.8%
No Goal
49.2%

Predicted Result

Away Under 2.5 Goal

Game #11

Cheltenham

HOME
VS

Salford

AWAY

Match Result Probability

Cheltenham
25.7%
Draw
26.8%
Salford
47.5%

Over/Under 2.5 Goals

Over 2.5
48.7%
Under 2.5
51.3%

Goal/No Goal

Goal
56.2%
No Goal
43.8%

Predicted Result

Away Under 2.5 Goal

Game #12

Crawley Town

HOME
VS

Chesterfield

AWAY

Match Result Probability

Crawley Town
24.9%
Draw
26.0%
Chesterfield
49.0%

Over/Under 2.5 Goals

Over 2.5
50.7%
Under 2.5
49.3%

Goal/No Goal

Goal
58.4%
No Goal
41.6%

Predicted Result

Away Over 2.5 Goal

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What's Inside Each Match Analysis

Click on any match card above to access our in-depth match analysis pages. Each page provides insights you won't find elsewhere:

AI-Generated Match Preview

Data-driven match analysis with prediction summary, team form assessment, and key tactical insights.

Under/Over 2.5 Goals Analysis

Detailed probability breakdown for goals predictions based on team scoring patterns and defensive records.

Shots Predictions

Expected shots derived from neural network probability distributions, not simple averages.

Corners Predictions

Neural network-based corner kick predictions with probability context for more informed analysis.

Goal Spread Predictions

Expected goal difference (home - away) with full probability distributions for handicap analysis.

AI-Powered League Two Predictions

League Two is the fourth and final tier of the English Football League — the last stop before the National League. Its promotion format is unusually generous: the top three go up automatically and a further playoff among 4th to 7th decides the last place in League One. Tight budgets, long away trips and a relentless fixture list make it a division where momentum and squad depth decide seasons. Our models cover roughly 20 seasons of League Two since 2005-06.

Our proprietary neural network models are trained on 20 seasons of League Two data and leverage approximately 600 features including rolling team-form indices, Elo & Glicko-2 rating dynamics, shots, corners and discipline metrics, quality-of-result indicators from closed matches.

Match Winner (1X2)
Under/Over 2.5
Both Teams to Score
Corners
Shots
Goal Spread

What sets us apart: Unlike competitors who provide simple averages for shots and corners, our neural network models generate expected values derived from probability distributions. This means our predictions capture the full range of likely outcomes, providing deeper analytical insight than basic statistical averages.

Our models incorporate recent team form, home/away performance differentials, Elo and Glicko-2 rating dynamics, quality-of-result indicators and match-level metrics such as shots made and conceded, corners and fouls to deliver comprehensive match predictions.

Historical League Two KPIs

Explore how key League Two metrics have evolved over the last 20 seasons. These trends inform our AI models and provide context for current predictions.

42%
Home Wins %
31%
Away Wins %
27%
Draws %
47%
Over 2.5 Goals %
52%
Both Teams Score %
2.6
Avg Goals per Match
21.9
Avg Shots per Match
10.5
Avg Corners per Match

Match Results Trend

League Two match results trend chart showing home wins, away wins, and draws percentages across seasons

Goals & Over 2.5 Trend

League Two goals trend chart showing average goals scored and over 2.5 percentage across seasons

Match Metrics Trend

League Two match metrics chart showing average shots and corners per match across seasons

League Two Power Rankings

Two rating models, one table. ELO measures accumulated season strength. Glicko-2 adds a confidence layer, flagging teams whose form is inconsistent. The Rank Δ column shows where both systems disagree most. Updated after every matchday.

Cross-League Prediction Hub

Compare predictions across all twelve leagues in one view. Sort matches by over/under 2.5 probability, goal spread, corners, or draw likelihood.

Prediction Transparency

We believe in full transparency. All our historical predictions and their outcomes are publicly available. Track our prediction accuracy and model performance over time:

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Download League Two Probability Data

Every match analysis includes downloadable probability distributions in JSON and CSV format. Access full PDFs, CDFs, and match prediction data for your own analysis.

Open any match analysis above and download structured data with a free account.

Learn How to Use Our Data

Frequently Asked Questions

Unlike the divisions above it, League Two promotes three clubs automatically and sends a fourth up through the 4th-7th playoff. Our Monte Carlo model reflects that exact structure — see the League Two title simulations for each club's promotion probability.

Data is thinner and results noisier at this level, so our ratings shrink toward the division average when a club has played few games, avoiding overconfident forecasts on small samples.

The bottom two drop into the National League. Our Elo ratings track that boundary, and promoted non-league clubs enter with a rating calibrated to how newly promoted sides have historically performed.

Yes — every match carries an under/over 2.5 goals probability and a both-teams-to-score probability, alongside the 1X2 result and full corners, shots and goal-spread distributions.

League Two spans the length of the country, so travel and congestion feature in our form weighting; a club on a demanding run of away fixtures is rated with that context.

Roughly 20 seasons back to 2005-06 — one of the deepest fourth-tier datasets available for a probabilistic model.

They are produced a few days before each matchday and updated as fresh results and form data land.