Kjelsås vs Ullern: Lineups, Predictions & Betting Tips

Club Friendlies

Kjelsås
Kjelsås
vs
Ullern
Ullern
3 - 2Our Prediction

Kjelsås vs Ullern Predictions

Over 2.5

Kjelsås 3 - 2 Ullern

2.40
Best Odds When Tipped
Bet on this Tip

Visitor Picks (1x2) for Kjelsås vs Ullern

Who will win?

1

1

Kjelsås

x

Draw

2

2

Ullern

Friendlies Clubs action on Friday as Kjelsås go head-to-head with Ullern. Here's our data-driven breakdown.

Recent Results

Kjelsås are flying right now — 4 wins from their last 5 is proper form. They've won their last three, so momentum is with them.

It's been up and down for Ullern: 2 wins, 1 draws, 2 losses recently.

Our Prediction

Our model gives Kjelsås the slight nod (56.70%), though Ullern at 30.00% means this is no foregone conclusion. Draw probability: 13.30%. Scoreline prediction: 3-2.

The Goals Markets

Expect goals at both ends — BTTS comes in at 75.00% on our model.

Over 2.5 Goals at 72.50% looks solid. Over 1.5 is at 77.50% if you want something safer, while Over 3.5 is 62.50% for the brave.

The Bet We Like

If we're putting our neck on the line, it's Over 2.5 Goals at 2.40. The model gives this a 72.50% probability.

The Odds

Here's how the bookies see it — Kjelsås 1.44, Draw 4.20, Ullern 5.50. BTTS priced at 0.00 Yes / 1.53 No. Over 2.5 Goals is 2.40.


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.