Lucko vs Trnje: Lineups, Predictions & Betting Tips

Second NL

Lucko
Lucko
vs
Trnje
Trnje
0 - 0Our Prediction

Lucko vs Trnje Predictions

Draw

Lucko 0 - 0 Trnje

4.00
Best Odds When Tipped
Bet on this Tip

Visitor Picks (1x2) for Lucko vs Trnje

Who will win?

1

1

Lucko

x

Draw

2

2

Trnje

Lucko welcome Trnje in Second NL action on Saturday, 21 February 2026. Time to see what the numbers say.

How Are They Looking?

Lucko's recent form reads DLWDW — nothing too dramatic either way.

Trnje's form has dipped, picking up 3 defeats from their last 5. Two losses on the spin is a concern.

Breaking Down The Odds

The algorithm can't separate these two. Lucko: 33.30%. Trnje: 30.00%. Draw: 36.70%. Anyone's game. Scoreline prediction: 0-0.

The Goals Markets

43.30% for BTTS. It's a maybe from the algorithm.

This could be a tight, low-scoring affair. Over 2.5 Goals at just 25.00%. Over 1.5 sits at 50.00%.

Where's The Value?

The standout pick here is Lucko to win (1.62). Our algorithm rates this at 33.30% confidence.

What The Bookies Say

Here's how the bookies see it — Lucko 1.62, Draw 4.00, Trnje 4.00. BTTS priced at 0.00 Yes / 1.91 No. Over 2.5 Goals is 2.10.


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.