Daily Football Predictions – April 14, 2026 | Saudi Arabia Professional League

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

Predictions by FutbolSkor.app – AI-powered football analysis

Al Quadisiya vs Al Shabab

Saudi Arabia Professional League • 2026-04-14T21:00:00 at 21:00 UTC

Match Analysis Summary

Analysis TypeOVER 15
Probability72%
Confidence LevelGrade C

Analysis

Al Quadisiya vs Al Shabab has 72% Over 1.5 probability

We calculated the Over 1.5 (2+ goals) probability at 72.0% for this match.

Al Quadisiya at home has an expected goals average of 1.70, while Al Shabab away has 1.94 xG. Total expected goals: 3.64.

Head-to-head Over 1.5 rate: 50%. Average goals in H2H: 2.5.

Grade C (Moderate): Probability 75-85% (72%). Consider with caution.

Key Statistics

  • Probability: 72%
  • Total xG: 3.64
  • Confidence: None
  • H2H Over 1.5: 50%

Analysis Factors

  • High-Scoring H2H: 2.5 goals per match in the last 2 meetings
  • Home Scoring Strength: Al Quadisiya scores 2.6 goals per home match
  • Away Defensive Weakness: Al Shabab concedes 1.2 goals per away match
  • Recent Form: Al Quadisiya won 3 of the last 5 matches
  • xG Analysis: Total xG: 3.64 – High goal expectation
  • AI Model Prediction: Model predicts over 1.5 goals with 72% probability

Match Statistics

Expected Goals (xG)

Al Quadisiya (Home)1.7 xG
Al Shabab (Away)1.94 xG
Total Expected Goals3.64 xG

Team Form & Statistics

StatAl QuadisiyaAl Shabab
Recent FormDWWWDWDLLL
Goals Scored Avg2.560.8
Goals Conceded Avg0.671.2

Head-to-Head Record

Total Matches2
Average Goals2.5
2+ Goals Rate50%
3+ Goals Rate50%
Both Teams Scored Rate50%

Additional Analysis

3+ Goals Probability51.1%
Both Teams to Score Probability70%

League Information

Saudi Arabia Professional League (Saudi Arabia) – Average goals per match: 1.65, 2+ goals rate: 43.8%

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.