Sport Picks
AI Match Summary
The US Open Cup 2006 game between Michigan Bucks and Columbus Crew finished 1-4, a result that aligned with the model's pre-match lean toward Columbus Crew.
Win Probability Meter
Derived from 10,000 simulations matching home advantage & form profiles
Model Confidence
Aggregate indicator score
- Columbus Crew carry the better recent record into this one.
- 40% — that's where the model lands on Columbus Crew taking it.
- Knockout football tends to sharpen focus — no second leg to fall back on.
- High conversion rates suggest a high-scoring game (Over 2.5 Probability: 78%).
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 | Michigan Bucks | Columbus Crew |
|---|---|---|
| Matches Played | 20 | 31 |
| Wins | 9 | 11 |
| Draws | 0 | 8 |
| Losses | 11 | 12 |
| Goals Scored | 0 | 1.5 |
| Goals Conceded | 0 | 1.25 |
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
Sokapicks Smart Insights
Historical trends and unique patterns automatically detected by our system
Historical meetings average 5.00 goals per match.
Michigan Bucks found the back of the net in 75% of recent matches (20 games).
Defensive concern: Columbus Crew conceded in 77% of 31 recent games.
Michigan Bucks went unbeaten in 2 of their last 5 games.