Scotland vs Morocco: World Cup 2026 Prediction 20 June 2026

Morocco beat Scotland 1-0 in the World Cup 2026 on 20 June 2026.

Coach AI predicted 0-1: the exact score. The fans predicted Morocco win (81%), which was right.

Coach AI predicts 0-1 as the correct score for Scotland vs Morocco. This page also covers the expected line-ups, injuries and xG.

Scotland form (last 5): 1W-0D-0L. Morocco form (last 5): 0W-1D-0L.

Scotland faces a significant crisis in midfield following Billy Gilmour's tournament-ending knee injury; Lewis Ferguson must now carry the creative burden. Morocco is missing defensive anchor Nayef Aguerd and winger Abde Ezzalzouli, but their squad depth, particularly with Brahim Díaz, mitigates the impact better than Scotland's thinner roster.

According to the score probability matrix, 0-1 is the most likely scoreline (18%), followed by 1-1 (17%) and 0-0 (12%).

Moroccan Technical Breakthrough (55%): Morocco dominates possession and eventually finds a winner through Hakimi's overlaps or a moment of magic from Brahim Díaz.; Stalemate in the Rain (30%): Wet conditions and Scotland's compact low block lead to a cagey 0-0 or 1-1 draw, leaving both teams with qualification hopes intact.; Tartan Army Set-Piece Win (15%): Scotland absorbs heavy pressure and scores against the run of play via a John McGinn corner or a McTominay header.

Among Football Meister players, 9% back a home win for Scotland, 10% a draw, and 81% an away win for Morocco. The most predicted scoreline is 1-2. Fans are more cautious than Coach AI on Scotland: fans pick 9% home win, Coach AI calculates 19%.

The most predicted scoreline for Scotland vs Morocco is 1-2. Of all Football Meister players, 9% back Scotland, 10% a draw and 81% Morocco.

81% of fans predict a win for Morocco, with an average confidence of 76% (high confidence).

Scotland are 3rd in the FIFA World Cup with 3 points from 3 games. Morocco are 2nd with 7 points from 3 games.

Expected lineup Scotland (5-4-1): Angus Gunn, Nathan Patterson, Ryan Porteous, Jack Hendry, Kieran Tierney, Andrew Robertson, Billy Gilmour, Callum McGregor, Scott McTominay, John McGinn, Che Adams. Expected lineup Morocco (4-3-3): Yassine Bounou, Achraf Hakimi, Nayef Aguerd, Romain Saïss, Noussair Mazraoui, Sofyan Amrabat, Azzedine Ounahi, Bilal El Khannouss, Hakim Ziyech, Youssef En-Nesyri, Abde Ezzalzouli. Lineups are based on the most recent sources and may change before kickoff.

Scotland vs Morocco kicks off on Saturday, 20 June 2026 at 00:00 (Central European Time). The match is part of the World Cup 2026.

The referee for Scotland vs Morocco in the World Cup 2026 is Il'giz Tantashev.

Coach AI identifies three decisive factors for Scotland vs Morocco: 1. Technical Gap: Morocco displayed elite capability by holding Brazil to a 1-1 draw, whereas Scotland struggled with finishing efficiency against Haiti (1 goal from 2.15 xG). 2. Midfield Absence: The loss of Billy Gilmour (knee injury) severely hampers Scotland's ability to transition and retain possession against Morocco's high-intensity pressing. 3. Tactical Clash: Scotland's low-block 4-4-2 will likely frustrate Morocco, but the Atlas Lions' right-wing threat (Hakimi) vs. Robertson is the game's decisive tactical duel..

Coach AI has identified the following key players for Scotland vs Morocco. Scotland: Andy Robertson (Key Threat), Scott McTominay (In Form). Morocco: Achraf Hakimi (Key Threat), Brahim Díaz (In Form).

Coach AI sees Morocco as the stronger side in Scotland vs Morocco. The full analysis with the expected score, xG and injuries is on this page.

Coach AI analyzes thousands of data points, including xG, recent form, team news, and tactical developments for every match.

Insights are updated daily to incorporate the latest developments, injuries, and market movements.

Coach AI has analyzed over 1,000 matches. In 50% of cases, the correct outcome (home win, draw, or away win) is predicted accurately. In more than 10% of matches, the exact final score matches the prediction, significantly above the market average.

Coach AI has predicted over 1,000 matches: 50% correct outcome, 10%+ exact final score. The model consistently outperforms standard probability calculations and gives football fans the data they need to make truly informed predictions.

Coach AI combines Expected Goals (xG), recent team form over the last five matches, head-to-head records, up-to-date injury news, and tactical match-up analysis. The model is updated daily so every prediction reflects the most current information available.