Score and xG - Jul 7, 2026 - tournament stage
Switzerland vs Colombia: AI Score Prediction and xG Analysis
AI citation
The model lean for Switzerland vs Colombia is Colombia win (43%), the most likely score is 1-1, expected total goals are 2.43, and risk is medium; final score 0-0.
Key Takeaway
The model lean for Switzerland vs Colombia is Colombia win (43%), the most likely score is 1-1, expected total goals are 2.43, and risk is medium; final score 0-0.
Post-Match Review Status
Switzerland vs Colombia is completed with final score 0-0. This page keeps the pre-match model read and compares it with the forecast score 1-1.
Switzerland vs Colombia score and goal read
The most likely score is 1-1. Switzerland xG is 1.09, Colombia xG is 1.34, total 2.43. Over 2.5 sits near 44%, while BTTS is around 49%. These are model distribution reads, not guaranteed outcomes, and are best used to understand match tempo before kickoff.
| Switzerland xG | 1.09 |
|---|---|
| Colombia xG | 1.34 |
| Predicted score | 1-1 |
| Over 2.5 goals | 44% |
| BTTS | 49% |
Trust
Data Status and Use Boundary
Sources: schedule.csv, game_predictions.csv, Official FIFA squad list: 48 teams / 1248 players.
Related Links
Continue with related matches, teams and groups
These links connect the match read with team pages, group pages, the compare tool and data sources.
Primary forecast
Switzerland vs Colombia: primary prediction
The primary page for this fixture: start with who is more likely to win.
Search angle
Switzerland vs Colombia: lineups
Focused on key players, likely XI, bench depth and pending source status.
Search angle
Switzerland vs Colombia: fair odds
Focused on model fair odds, 1X2, goals and source status.
FAQ
The model currently leans Colombia win at 43%, with projected score 1-1 and final score 0-0.
The model score is 1-1, expected total goals are 2.43, Over 2.5 is around 44%, and BTTS is around 49%.
They are not official lottery odds. The page shows public market reference odds when the site cache matches; official Sporttery stays pending, and model fair odds are only probability comparisons.
The most likely score is 1-1, expected goals are 2.43, Over 2.5 is around 44%, and BTTS is around 49%; use it as tempo context, not a fixed result.
The review compares final score 0-0 with predicted score 1-1, model direction, score error, goal error and group impact.