Alaves will host Villarreal in a La Liga match on March 13, 2026. Our statistical model has generated probabilities for this match, and we've combined these with market odds to identify potential value betting opportunities.

According to our model, Villarreal is the favorite with a 41.8% chance of winning, while Alaves has a 25.1% chance of winning at home. The probability of a draw is calculated at 33.1%. Comparing these probabilities to the available market odds (Alaves at 3.40, Draw at 3.25, and Villarreal at 2.20), we can calculate the expected value (EV) for each outcome.

An EV greater than 0 suggests a potential value bet, where the odds offered by the bookmaker are higher than the probability estimated by our model. Our analysis indicates that the Draw offers the best EV at 7.589. This means that the odds of 3.25 for a draw are slightly more generous than our model's assessment of a 33.1% probability. While this EV isn't exceptionally high, it does represent a slight edge for the bettor.

The model's reasoning states a primary probability of 42% and an advantage difference of 9%, and matches the market's principal direction. This points towards a slight bias on the away win.

However, the model expresses low confidence in the 1X2 market with a confidence score of 35.151. This implies that other markets might present better opportunities.

Interestingly, the model highlights the Over/Under 2.5 goals (ou25) market as a high-value opportunity. The recommendation is to bet on "Over 2.5 goals," with a substantial expected value of 211.626. This strong signal is based on historical backtesting, meaning similar conditions in the past have resulted in the "Over 2.5 goals" outcome frequently.

Considering this information, we recommend focusing on the Over/Under 2.5 goals market for this match. Despite the low confidence in the 1X2 market, the historical backtesting signal for the Over 2.5 goals provides a compelling reason to consider this bet. It suggests that the model identifies a statistical pattern overlooked by the general betting market.

Keep in mind that our analysis is based on a statistical model, and while historical backtesting provides valuable insights, football matches are inherently unpredictable. Always gamble responsibly and within your means.