NK Osijek vs HNK Hajduk Split

HNL

NK Osijek
NK Osijek
vs
HNK Hajduk Split
HNK Hajduk Split
1 - 1Our Prediction

NK Osijek vs HNK Hajduk Split Predictions

Home Win

NK Osijek 1 - 1 HNK Hajduk Split

3.40
Best Odds When Tipped
Bet on this Tip

Visitor Picks (1x2) for NK Osijek vs HNK Hajduk Split

Who will win?

1

1

NK Osijek

x

Draw

2

2

HNK Hajduk Split

Here's one for Sunday: NK Osijek hosting HNK Hajduk Split in the HNL. Our algorithm has had a good look at this one.

Recent Results

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

HNK Hajduk Split's recent form reads LWWDL — nothing too dramatic either way.

Our Prediction

This is a coin flip, basically. NK Osijek 33.30%, HNK Hajduk Split 33.30%, draw 33.30%. Take your pick. The predicted scoreline? 1-1.

The Goals Markets

BTTS is at 46.70% — could go either way on that one.

This could be a tight, low-scoring affair. Over 2.5 Goals at just 30.00%. Over 1.5 sits at 70.00%.

The Bet We Like

If we're putting our neck on the line, it's Over 1.5 Goals at 1.73. The model gives this a 70.00% probability.

The Odds

Bookies have it: NK Osijek 3.40, Draw 3.20, HNK Hajduk Split 2.05. BTTS Yes is 1.83, No is 1.83. Over 2.5 Goals at 1.30.


Match preview generated automatically using our football prediction algorithm. Data-driven doesn't mean guaranteed — always gamble responsibly.


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.