Scotland vs Morocco Prediction, Tips & Odds
Scotland vs Morocco


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About the Teams
Scotland
Morocco
Head to Head
Last 1 Meetings (Morocco leads 1-0)

Scotland and Morocco have faced each other once, with Morocco winning that encounter 1-0 during the 2026 World Cup. Since this is the only competitive meeting between the two teams, the sample size is too small to establish any clear pattern. The match took place recently in 2026, making it relevant for understanding the current dynamics of these national teams. However, with just one match in the record, it is difficult to draw significant conclusions about their head-to-head rivalry.
Group C Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 2 | 1 | 0 | 7 | 1 | 6 | 7 | LWWWD | |
| 2 | 3 | 2 | 1 | 0 | 6 | 3 | 3 | 7 | LWWWW | |
| 3 | 3 | 1 | 0 | 2 | 1 | 4 | -3 | 3 | LLW | |
| 4 | 3 | 0 | 0 | 3 | 2 | 8 | -6 | 0 | LLL |
Key Statistics
2026 Season
Scotland have won 4 of their last 6 matches at home, drawing 0 and losing 2. Their recent home fixtures include beat Scotland 4-1 and lost to Scotland 0-1.
Overall, the wider run reads 7W 1D 3L from the last 11 games (64% win rate). The form line is positive, with more wins than defeats across the sample.













Morocco have won 3 of their last 5 matches on the road, drawing 2 and losing 0. Their recent away fixtures include drew with Morocco 1-1 and beat Senegal 0-3.
Overall, the wider run reads 7W 5D 0L from the last 12 games (58% win rate). The form line is positive, with more wins than defeats across the sample.












Lineups
Lineups not yet announced
National-team lineups are genuinely unknown until 1 to 2 hours before kick-off, when the starting XI is confirmed. Until then, only predicted lineups are possible.
Unavailable Players
0 players
Scotland
No reported absences
Morocco
No reported absences
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.



