Villarreal v Paris

The three cover every possible outcome.

Paris are most likely to win on 3 November, at 75%, with a draw at 15% and a Villarreal win at 10%. The forecast gives Paris a substantial advantage, but not certainty.

The biggest separation is European pedigree. Paris’s Elo rating of 2,098 is well above Villarreal’s 1,717, making them the stronger side over recent European seasons. Domestic league standing also tilts toward Paris, adding to the case for them beyond their continental record.

Recent European form reinforces that gap. Villarreal have been inconsistent, scoring eight and conceding eight across their last three matches, while Paris have been more productive and harder to score against, with 14 scored and five conceded. The model also leans on Paris’s stronger scoring form and defensive solidity, though recent results are context rather than a guarantee of how this match will unfold.

Conclusion

Villarreal’s ability to make Paris’s recent defensive concessions count could change the expected result. Paris have conceded five times in their last three European matches, giving Villarreal a specific opportunity if they can sustain their recent attacking output.

This analysis is written by our models from the probabilities and factors published above. The numbers are the prediction, the prose only explains them.

Model context

Goal rates

0.91 - 2.69

European rating, Villarreal

1717

European rating, Paris

2098

First published

27 Oct 2026, 08:15

The model works by first estimating how often each side scores, then turning those scoring rates into the result probabilities above. The rates are shown so you can see which side is expected to create more. Read them as that comparison, not as a score prediction: the numbers sit lower than real goal counts.

The European rating is a dedicated ladder walked over Champions League and Europa League matches, qualifying included. It carries over between seasons rather than resetting, so the numbers are comparable across years. See the full season board →

Model: C_hybrid_2015 z_shrink=0.90 draw_coupling=0.03 train_seasons=2015-2026