Fair Odds - Jun 25, 2026 - Group F
Japan vs Sweden: Model Fair Odds and Goal Markets
AI citation
The model lean for Japan vs Sweden is Japan win (49%), the most likely score is 2-1, expected total goals are 2.69, and risk is medium; final score 1-1.
Key Takeaway
The model lean for Japan vs Sweden is Japan win (49%), the most likely score is 2-1, expected total goals are 2.69, and risk is medium; final score 1-1.
Post-Match Review Status
Japan vs Sweden is completed with final score 1-1. This page keeps the pre-match model read and compares it with the forecast score 2-1.
Japan vs Sweden model fair odds
Verified market reference odds are shown when the cache matches this fixture; official Sporttery remains pending. Model fair odds are shown for comparison. Entertainment reference only, not betting advice.
Japan vs Sweden 1X2 values use the site market-odds cache when this fixture is matched; otherwise the page keeps model fair odds. The current lean is Japan win 49%, Over 2.5 is 50%, and BTTS is 53%. Official Sporttery remains clearly marked as pending when unavailable.
| Market | Model probability | Fair odds |
|---|---|---|
| Japan win | 49% | 2.04 |
| Draw | 25% | 4.01 |
| Sweden win | 26% | 3.85 |
| Over 2.5 goals | 50% | 1.98 |
| BTTS | 53% | 1.89 |
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
Japan vs Sweden: primary prediction
The primary page for this fixture: start with who is more likely to win.
Search angle
Japan vs Sweden: lineups
Focused on key players, likely XI, bench depth and pending source status.
FAQ
The model currently leans Japan win at 49%, with projected score 2-1 and final score 1-1.
The model score is 2-1, expected total goals are 2.69, Over 2.5 is around 50%, and BTTS is around 53%.
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.
Fair odds convert model probabilities into decimal reference values; the market cache is public market reference data, and official Sporttery stays pending when not matched.
The review compares final score 1-1 with predicted score 2-1, model direction, score error, goal error and group impact.