Daily Football Predictions – May 10, 2026 | Spain La Liga

Today's best football predictions. Detailed analysis for 1 matches.

Predictions by FutbolSkor.app – AI-powered football analysis

FC Barcelona vs Real Madrid

Spain La Liga • 2026-05-10T22:00:00 at 22:00 UTC

Match Analysis Summary

Analysis TypeOVER 15
Probability84.4%
Confidence LevelGrade C

Analysis

FC Barcelona vs Real Madrid has 84% Over 1.5 probability

We calculated the Over 1.5 (2+ goals) probability at 84.4% for this match.

FC Barcelona at home has an expected goals average of 1.77, while Real Madrid away has 1.51 xG. Total expected goals: 3.28.

Head-to-head Over 1.5 rate: 50%. Average goals in H2H: 1.5.

Grade C (Moderate): Probability 75-85% (84%). Consider with caution.

Key Statistics

  • Probability: 84%
  • Total xG: 3.28
  • Confidence: None
  • H2H Over 1.5: 50%

Analysis Factors

  • H2H Average: 1.5 goals per match in the last 2 games
  • Home Scoring Strength: FC Barcelona scores 3.1 goals per home match
  • Away Defensive Weakness: Real Madrid concedes 1.1 goals per away match
  • Recent Form: FC Barcelona won 4 of the last 5 matches
  • xG Analysis: Total xG: 3.28 – High goal expectation
  • AI Model Prediction: Model predicts over 1.5 goals with 84% probability

Match Statistics

Expected Goals (xG)

FC Barcelona (Home)1.77 xG
Real Madrid (Away)1.51 xG
Total Expected Goals3.28 xG

Team Form & Statistics

StatFC BarcelonaReal Madrid
Recent FormLWWWWLWLWW
Goals Scored Avg3.112
Goals Conceded Avg0.561.1

Head-to-Head Record

Total Matches2
Average Goals1.5
2+ Goals Rate50%
3+ Goals Rate50%
Both Teams Scored Rate50%

Additional Analysis

3+ Goals Probability73%
Both Teams to Score Probability67.3%

League Information

Spain La Liga (Spain) – Average goals per match: 1.34, 2+ goals rate: 40.5%

Analysis is for informational and educational purposes only. Past performance does not guarantee future results.

FutbolSkor

FutbolSkor

AI-powered football analysis platform providing data-driven match insights, player statistics, and performance predictions for informational and educational purposes.