Daily Football Predictions – May 11, 2026 | Portugal Liga NOS

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

Predictions by FutbolSkor.app – AI-powered football analysis

Benfica vs Sporting Braga

Portugal Liga NOS • 2026-05-11T22:15:00 at 22:15 UTC

Match Analysis Summary

Analysis TypeOVER 15
Probability81.1%
Confidence LevelGrade C

Analysis

Benfica vs Sporting Braga has 81% Over 1.5 probability

We calculated the Over 1.5 (2+ goals) probability at 81.1% for this match.

Benfica at home has an expected goals average of 2.29, while Sporting Braga away has 1.01 xG. Total expected goals: 3.30.

Head-to-head Over 1.5 rate: 50%. Average goals in H2H: 2.0.

Grade C (Moderate): Probability 75-85% (81%). Consider with caution.

Key Statistics

  • Probability: 81%
  • Total xG: 3.30
  • Confidence: None
  • H2H Over 1.5: 50%

Analysis Factors

  • H2H Average: 2.0 goals per match in the last 2 games
  • Home Scoring Strength: Benfica scores 2.1 goals per home match
  • Away Defensive Weakness: Sporting Braga concedes 1.1 goals per away match
  • Recent Form: Benfica won 3 of the last 5 matches
  • xG Analysis: Total xG: 3.30 – High goal expectation
  • AI Model Prediction: Model predicts over 1.5 goals with 81% probability

Match Statistics

Expected Goals (xG)

Benfica (Home)2.29 xG
Sporting Braga (Away)1.01 xG
Total Expected Goals3.3 xG

Team Form & Statistics

StatBenficaSporting Braga
Recent FormWWWDDLWDLW
Goals Scored Avg2.111.8
Goals Conceded Avg0.781.1

Head-to-Head Record

Total Matches2
Average Goals2
2+ Goals Rate50%
3+ Goals Rate50%
Both Teams Scored Rate50%

Additional Analysis

3+ Goals Probability68.6%
Both Teams to Score Probability65.5%

League Information

Portugal Liga NOS (Portugal) – Average goals per match: 1.41, 2+ goals rate: 39.9%

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.