Daily Football Predictions – May 14, 2026 | Switzerland Super League

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

Predictions by FutbolSkor.app – AI-powered football analysis

Basel vs St. Gallen

Switzerland Super League • 2026-05-14T17:30:00 at 17:30 UTC

Match Analysis Summary

Analysis TypeOVER 15
Probability79.4%
Confidence LevelGrade C

Analysis

Basel vs St. Gallen has 79% Over 1.5 probability

We calculated the Over 1.5 (2+ goals) probability at 79.4% for this match.

Basel at home has an expected goals average of 1.43, while St. Gallen away has 1.75 xG. Total expected goals: 3.18.

Head-to-head Over 1.5 rate: 25%. Average goals in H2H: 0.8.

Grade C (Moderate): Probability 75-85% (79%). Consider with caution.

Key Statistics

  • Probability: 79%
  • Total xG: 3.18
  • Confidence: None
  • H2H Over 1.5: 25%

Analysis Factors

  • Home Scoring Strength: Basel scores 1.4 goals per home match
  • Away Defensive Weakness: St. Gallen concedes 1.2 goals per away match
  • Recent Form: Basel has been steady lately (many draws)
  • xG Analysis: Total xG: 3.18 – High goal expectation
  • AI Model Prediction: Model predicts over 1.5 goals with 79% probability
  • Away Attacking Strength: St. Gallen scores 2.0 goals per away match

Match Statistics

Expected Goals (xG)

Basel (Home)1.43 xG
St. Gallen (Away)1.75 xG
Total Expected Goals3.18 xG

Team Form & Statistics

StatBaselSt. Gallen
Recent FormDDDLDWWDWL
Goals Scored Avg1.42
Goals Conceded Avg0.71.22

Head-to-Head Record

Total Matches4
Average Goals0.75
2+ Goals Rate25%
3+ Goals Rate25%
Both Teams Scored Rate25%

Additional Analysis

3+ Goals Probability66.2%
Both Teams to Score Probability72.9%

League Information

Switzerland Super League (Switzerland) – Average goals per match: 1.96, 2+ goals rate: 49%

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.