Tiverton Town vs Wimborne Town
Non League Premier - Southern South
Tiverton Town vs Wimborne Town Predictions
Home Win
Tiverton Town 1 - 1 Wimborne Town
Visitor Picks (1x2) for Tiverton Town vs Wimborne Town
Who will win?
1
Tiverton Town
x
Draw
2
Wimborne Town
Tiverton Town take on Wimborne Town in the Non League Premier - Southern South on Tuesday, and we've crunched the numbers to see what's likely to happen.
The Form Guide
It's been rough for Tiverton Town: 4 defeats in their last 5. Confidence must be shot.
Neither here nor there for Wimborne Town with 3 draws from 5 outings.
The Algorithm's Verdict
Really hard to call this one — Tiverton Town at 40.00%, Wimborne Town at 40.00%, and 20.00% for the draw. Proper 50-50 stuff. Scoreline prediction: 1-1.
The Goals Markets
Both Teams to Score sits at 60.00%. Not the strongest lean either way.
Two or three goals is the most likely outcome. Over 1.5: 70.00%. Over 2.5: 50.00%. Over 3.5: 25.00%.
The Bet We Like
If we're putting our neck on the line, it's Over 1.5 Goals at 1.80. The model gives this a 70.00% probability.
What The Bookies Say
Market prices: Tiverton Town win 3.25, Wimborne Town win 1.85, Draw 3.75. For goals, BTTS Yes 0.00 / No 2.25, Over 2.5 at 1.25.
Match preview generated automatically using our football prediction algorithm. Data-driven doesn't mean guaranteed — always gamble responsibly.
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.
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