National League South


BTTS Yes
Tonbridge Angels 2 - 1 Chippenham Town
Who will win?
1

Tonbridge Angels
x
Draw
2

Chippenham Town
Tonbridge Angels take on Chippenham Town in the National League - South on Saturday, and we've crunched the numbers to see what's likely to happen.
It's been up and down for Tonbridge Angels: 1 wins, 2 draws, 2 losses recently.
A bit wobbly from Chippenham Town recently: 0W 2D 3L in their last 5. Three straight losses — they'll be desperate to stop the rot.
Our model gives Tonbridge Angels the slight nod (53.30%), though Chippenham Town at 13.30% means this is no foregone conclusion. Draw probability: 33.30%. Our model reckons this ends 2-1.
Expect goals at both ends — BTTS comes in at 76.70% on our model.
Goals markets: Over 1.5 at 85.00%, Over 2.5 at 50.00%, Over 3.5 at 45.00%. Pretty middle-of-the-road stuff.
If we're putting our neck on the line, it's Both Teams to Score at 1.73. The model gives this a 76.70% probability.
Here's how the bookies see it — Tonbridge Angels 1.95, Draw 3.40, Chippenham Town 3.30. BTTS priced at 1.73 Yes / 2.00 No. Over 2.5 Goals is 1.70.
This analysis was automatically generated by the Football Park prediction system. The model uses historical performance and statistical analysis — but remember, this is football, and upsets happen. Please bet responsibly.

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.
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