Football Predictions Tomorrow - Friday, 20th February, 2026

20:0020.02
Blackburn
Preston
20:0020.02
Athletic Club
Elche
19:3020.02
AD Ceuta FC
Granada CF
19:3020.02
FSV Mainz 05
Hamburger SV
17:3020.02
VfL Bochum
1. FC Nürnberg
17:3020.02
SpVgg Greuther Fürth
Arminia Bielefeld
19:4520.02
Sassuolo
Verona
19:3020.02
Frosinone
Empoli
19:4520.02
Stade Brestois 29
Marseille
All Predictions
  • Top Countries
  • News and Articles
French club emerges as the favorite for the loan

French club emerges as the favorite for the loan

Real Madrid are preparing to loan out Endrick in January, with Lyon emerging as the frontrunner. The striker seeks regular minutes to regain form ahead of the 2026 World Cup.

Benzema praises Sergio Conceicao

Benzema praises Sergio Conceicao

Karim Benzema reflects on his progression at Al Ittihad, admits his first season was average, praises Sergio Conceicao’s training intensity, and argues Saudi football is improving fast and is closer to Europe’s level than many believe.

Expected goals explained and how AI uses xG to predict results

Expected goals explained and how AI uses xG to predict results

Understand expected goals (xG) from first principles and see how AI uses xG, shot quality, and team context to predict football results with stronger accuracy and calibration.

If Alonso is not good enough for Real, then who is?

If Alonso is not good enough for Real, then who is?

Philipp Lahm has come to the defense of his former teammate Xabi Alonso. The Basque was dismissed earlier this year by Real Madrid, and Lahm sees the coaching job at Los Blancos as the ultimate challenge in world football.

The best data sources for AI soccer predictions

The best data sources for AI soccer predictions

A practical guide to the best data sources for AI soccer predictions, covering event data, tracking data, odds, injuries, and open datasets, plus how to choose, validate, and combine them.

Machine learning vs human intuition in match forecasting

Machine learning vs human intuition in match forecasting

Compare machine learning and human intuition in match forecasting, examining strengths, blind spots, and why a hybrid approach often delivers the most dependable predictions.

Odd:1.38