FootProbability's new "Multiple Tip 2 out of 3" selection highlights three very different profiles, all remarkably consistent with the trends detected by the statistical model. Combining a value favorite, an attacking Scandinavian match, and a projected home dominance, this combination appears to be one of the strongest in recent weeks.
The first match that immediately catches the eye is Sutjeska vs Jedinstvo. The FootProbability model gives Sutjeska a nearly 65% chance of winning, while the odds remain above 2.00. With a model score of 76/100, this is simply the biggest statistical signal of the day. The projected scenario is very clear: domination by the home favorite with a maximum estimated score of 2-0. This type of match, combining high probability and still-profitable odds, corresponds exactly to the situations the model has performed best in recent weeks.
Second selection in the system: Villarreal vs Atlético Madrid. Contrary to what Atlético's prestige might suggest, FootProbability considers this match much more balanced than the current market. The model gives Villarreal a 52% chance at home with odds of 2.53. The maximum projected score is 2-1 in a match that could offer several attacking transitions and a more open pace than expected. This type of "hidden favorite" is often at the heart of the best value picks identified by FootProbability.
The third multiple pick is Malmö FF vs Vasteras SK FK in the Allsvenskan. Here, the model is positioned in the OVER 2.5 goals market with a projected probability of over 73%. The attacking statistics are extremely high, with a BTTS exceeding 72%, demonstrating that FootProbability continues to accurately predict the attacking profiles of Scandinavian leagues. Even though these leagues can sometimes be volatile, the GOALS markets currently remain one of the model's major strengths.
The advantage of the 2 out of 3 system is precisely that it allows for a more balanced approach: securing the ticket even if one of the matches doesn't go through. FootProbability continues to refine its strategy by combining:
- favorites value;
- offensive markets;
- tactical matches;
- and great statistical opportunities.
After several hundred matches analyzed and an overall ROI now positive, this approach is beginning to give the model a real identity: less based on emotions or the popularity of teams, and more on the discrepancies detected between real probabilities and market odds.