3 Bundesliga


BTTS Yes
FC Ingolstadt 04 3 - 2 Havelse
Who will win?
1

FC Ingolstadt 04
x
Draw
2

Havelse
Saturday brings us FC Ingolstadt 04 vs Havelse in the 3. Liga. Let's dig into the data and see where the value might be.
FC Ingolstadt 04 have been decent of late: 3W 1D 1L from the last 5.
Havelse have been struggling — 3 losses in 5 games isn't great. Two losses on the spin is a concern.
The model is pretty confident here — FC Ingolstadt 04 at 60.00% to win. Havelse are given just 30.00%, with the draw at 10.00%. Scoreline prediction: 3-2.
BTTS looks good here at 84.00% confidence. Both sides should get on the scoresheet.
Over 2.5 Goals at 80.00% looks solid. Over 1.5 is at 86.70% if you want something safer, while Over 3.5 is 46.70% for the brave.
If we're putting our neck on the line, it's Both Teams to Score at 1.50. The model gives this a 84.00% probability.
Market prices: FC Ingolstadt 04 win 1.62, Havelse win 4.20, Draw 3.80. For goals, BTTS Yes 1.50 / No 2.50, Over 2.5 at 2.10.
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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