Feyenoord v Inter

The three cover every possible outcome.

Inter are the most likely winners, with a 60% chance. A draw is rated at 21%, while a Feyenoord win is 19%.

Inter’s advantage is rooted first in the gap in European pedigree. Their Elo rating of 1,838 is well above Feyenoord’s 1,620, marking Inter as the stronger side over recent European seasons. Domestic league standing also points toward Inter, while the model gives additional weight to their greater defensive solidity and slight advantage in scoring form. These comparisons explain why Inter lead the assessment, even though neither club arrives with a strong recent European run.

Feyenoord have been inconsistent in Europe lately, scoring four and conceding eight across their last three matches. Inter have also struggled for consistency over that span, scoring five and allowing six. The defensive comparison remains relevant: Inter’s recent record is less exposed, but their own form means the difference between the teams has not been overwhelming.

Conclusion

Feyenoord could change the expected result by making a sharp improvement on the defensive record that has seen them concede eight in their last three European matches. Limiting Inter’s scoring threat would give the home side a better chance of turning the contest in their favour.

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

1.04 - 2.01

European rating, Feyenoord

1620

European rating, Inter

1838

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