Sport Picks
AI Match Summary
Flekkefjord play Froyland in the Division 3 - Group 6 2012. It looks like a close match. Recently, Flekkefjord averaged 1.6 goals scored and 2.47 conceded. Froyland averaged 1.63 goals scored and 2.11 conceded. In past meetings, Flekkefjord won 2, Froyland won 3, and they drew 0. Their last match on Sep 14, 2013 ended 3:4. Our numbers estimate xG of 1.67 for Flekkefjord and 1.30 for Froyland. This points to a Froyland double chance or over markets.
Win Probability Meter
Derived from 10,000 simulations matching home advantage & form profiles
Model Confidence
Aggregate indicator score
- Flekkefjord picked up more points recently compared to Froyland.
- Model forecasts higher goal threat for the host (1.67 vs 1.30 xG).
- Past meetings show a clear pattern favoring the visitors.
- High conversion rates suggest a high-scoring game (Over 2.5 Probability: 83%).
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 | Flekkefjord | Froyland |
|---|---|---|
| Matches Played | 30 | 35 |
| Wins | 7 | 10 |
| Draws | 3 | 7 |
| Losses | 20 | 18 |
| Goals Scored | 1.6 | 1.63 |
| Goals Conceded | 2.47 | 2.11 |
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
Flekkefjord scored in 70% of their last 30 games.
Froyland let in goals in 94% of their last 35 matches.
Games between these two average 5.20 goals.
Flekkefjord went unbeaten in 2 of their last 5 games.
Froyland lost 2 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