Chester vs Buxton: Lineups, Predictions & Betting Tips

National League North

Chester
Chester
vs
Buxton
Buxton
2 - 3Our Prediction

Chester vs Buxton Predictions

Over 1.5

Chester 2 - 3 Buxton

1.30
Best Odds When Tipped
Bet on this Tip

Visitor Picks (1x2) for Chester vs Buxton

Who will win?

1

1

Chester

x

Draw

2

2

Buxton

Here's one for Saturday: Chester hosting Buxton in the National League - North. Our algorithm has had a good look at this one.

The Form Guide

Chester's recent form reads DLDLW — nothing too dramatic either way.

Buxton are a mixed bag lately: 2W 1D 2L from the last 5.

Our Prediction

Really hard to call this one — Chester at 28.30%, Buxton at 43.30%, and 28.30% for the draw. Proper 50-50 stuff. Scoreline prediction: 2-3.

How Many Goals?

Both Teams to Score sits at 64.20%. Not the strongest lean either way.

Over 2.5 Goals at 56.30% — nothing to get too excited about. Over 1.5 is 77.50%, Over 3.5 is 51.30%.

Our Pick

The standout pick here is Over 1.5 Goals (1.30). Our algorithm rates this at 77.50% confidence.

The Odds

Market prices: Chester win 2.05, Buxton win 3.00, Draw 3.60. For goals, BTTS Yes 1.67 / No 2.10, Over 2.5 at 1.62.


This content was created by our AI prediction system. It's based on real data and proper stats, but football doesn't always follow the script. Bet within your means.


David Shaw
Journalist
David Shaw

Professional Sports Betting Analytics Expert & Algorithm Developer.
David Shaw is a pioneering figure in the sports betting analytics industry with over 12 years of specialized experience. He launched his first online sports data platform in 2014, quickly becoming the #1 ranked football tipster on Tipster Portal. Following the successful acquisition of his original platform, David founded FootyGuru365.com, which was also subsequently acquired as well as SoccerTips.ai.

David's crowning achievement is the development of the Betminer Algorithm - recognized as the world's most accurate football predictions algorithm. This sophisticated API now powers hundreds of major websites globally, providing cutting-edge predictions data to millions of users. He holds a degree in Computing from the University of the West of England, combining academic knowledge with real-world betting expertise.