Sport Picks
AI Match Summary
Shabab Al Jeel play Hassan in the Division 1 2007/2008. It looks like a close match. Recently, Shabab Al Jeel averaged 1 goals scored and 1.31 conceded. Hassan averaged 0.91 goals scored and 1.36 conceded. In past meetings, Shabab Al Jeel won 1, Hassan won 0, and they drew 3. Their last match on Jun 27, 2008 ended 3:3. Our numbers estimate xG of 1.20 for Shabab Al Jeel and 1.05 for Hassan. This points to a Hassan double chance or over markets.
Win Probability Meter
Derived from 10,000 simulations matching home advantage & form profiles
Model Confidence
Aggregate indicator score
- Shabab Al Jeel picked up more points recently compared to Hassan.
- Model forecasts higher goal threat for the host (1.20 vs 1.05 xG).
- Past meetings show a clear pattern favoring the visitors.
- Strong defensive structures favor a low-scoring, controlled fixture.
Goal Probability Engine
Model estimations for goals markets based on xG conversion histories
Recent Team Form Analysis
Averages per match over historical game filters
| Metric | Shabab Al Jeel | Hassan |
|---|---|---|
| Matches Played | 29 | 11 |
| Wins | 7 | 3 |
| Draws | 9 | 2 |
| Losses | 13 | 6 |
| Goals Scored | 1 | 0.91 |
| Goals Conceded | 1.31 | 1.36 |
H2H
Historical prediction success rates across key markets
Sokapicks Momentum Index
Current performance index incorporating opponent strength & fatigue (0-100)
Attack & Defence Capability Index
Prediction Engine Forecast
Simulated score frequencies and primary prediction markets
Value Bet Detector (+EV)
Matches where our model probability exceeds implied bookmaker odds
Attacking Heatmaps & Shot Locations
Dynamic heat overlays computed from tactical zone entries
Sokapicks Smart Insights
Historical trends and unique patterns automatically detected by our system
Shabab Al Jeel scored in 59% of their last 29 games.
Hassan let in goals in 82% of their last 11 matches.
Games between these two average 2.75 goals.
Shabab Al Jeel went unbeaten in 2 of their last 5 games.
Hassan lost 3 of their last 5 games.
Match Risk Analysis
Assessing potential disruptors and external variables affecting prediction reliability
Busy schedule: Managers might rest key players, which can affect team cohesion.
Regular league game. Both sides need the points to climb the table.
Pressure: A tense match where mistakes or cards can change things quickly.
Interactive Team Comparison Slider
Side-by-side comparison of team metrics