Women's Africa Cup of Nations

Hosted by Morocco

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Women's Africa Cup of Nations

Hosted by Morocco

The competition will kick off on Sunday, 26 July 2026, at 18:00 local time (17:00 GMT) at the Rabat Olympic Stadium, where Algeria will face Senegal in the opening match. Hosts Morocco will begin their campaign later that evening against Kenya at 21:00 (20:00 GMT) at the Moulay El Hassan Stadium in Rabat.

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WAFCON
31 Jul 23:00 - 1 Aug 20:00 - 23:00 - 26 Jul 2-3 25 Jul (4) 1-1 (3) 22 Jul (4) 1-1 (2)
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Match predictions

Al-Fayha vs Al-Qadisiyah FC Prediction

Saudi Pro League · Sat, May 9 - 21:00

Updated Sat, Jul 25, 2026 00:00 EAT
Saudi Pro League logo Saudi Pro League Won
Al-Fayha Al-Fayha logo
1-2
Al-Qadisiyah FC logo Al-Qadisiyah FC
FULL-TIME MATCHDAY 32 King Abdullah Sports City Stadium
129%Home X18%Draw 253%Away
Match Centre Confidence 53%
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Prediction summary

Al-Fayha vs Al-Qadisiyah FC key facts

Primary tipAl-Qadisiyah FC to Win
Predicted score1-2
Kick-offSat, May 9 - 21:00
Confidence53%
Retrospective forecast archive This forecast cannot be verified as published before kick-off, so it is excluded from search indexes and prediction sitemaps.

Al-Fayha have won 1 of their last 5 recorded matches, while Al-Qadisiyah FC have won 5 of their last 5. The available home/away sample gives Al-Fayha a 50% home win trend and Al-Qadisiyah FC a 80% away win trend. Al-Fayha average 1.30 goals scored and 1.30 conceded in the recent sample, compared with Al-Qadisiyah FC at 2.80 scored and 1.20 conceded. Al-Fayha 0 wins, Al-Qadisiyah FC 2 wins, 0 draws in last 2 meetings. Player-form data gives Al-Fayha an average top-player rating of 7.14 with 18 latest goal involvements, compared with Al-Qadisiyah FC at 7.63 rating and 37 goal involvements. The model converts those form, venue, goals, head-to-head, standings and player-form signals into 1X2 probabilities of 29% home, 18% draw and 53% away, making Al-Qadisiyah FC to Win the preferred tip at 53% confidence.

Match forecast

Al-Qadisiyah FC to Win

Won
Predicted score 1-2 Confidence: Low · 53% ★★★☆☆
Al-Fayha Win29%
Draw18%
Al-Qadisiyah FC Win53%
Over 2.5 Goals Yes 82% probability Actual: 3 goals · Won
Both Teams To Score Yes 60% probability Actual: Yes · Won
Correct Score 1-2 Exact score prediction Actual: 1-2 · Won
Model Confidence Low 53% Final score: 1-2
Form analysis

Why this prediction?

Al-Fayha formL L L W D4 points from last five
Al-Qadisiyah FC formW W W W W15 points from last five
Home/Away strength50% / 80%Venue trend in available data
Goals profile1.30 - 2.80Average goals scored
Player form7.14 / 7.63Average top-player rating

Reason for tip

Al-Fayha have won 1 of their last 5 recorded matches, while Al-Qadisiyah FC have won 5 of their last 5. The available home/away sample gives Al-Fayha a 50% home win trend and Al-Qadisiyah FC a 80% away win trend. Al-Fayha average 1.30 goals scored and 1.30 conceded in the recent sample, compared with Al-Qadisiyah FC at 2.80 scored and 1.20 conceded. Al-Fayha 0 wins, Al-Qadisiyah FC 2 wins, 0 draws in last 2 meetings. Player-form data gives Al-Fayha an average top-player rating of 7.14 with 18 latest goal involvements, compared with Al-Qadisiyah FC at 7.63 rating and 37 goal involvements. The model converts those form, venue, goals, head-to-head, standings and player-form signals into 1X2 probabilities of 29% home, 18% draw and 53% away, making Al-Qadisiyah FC to Win the preferred tip at 53% confidence.

Al-Fayha 0 wins, Al-Qadisiyah FC 2 wins, 0 draws in last 2 meetings.
Result check

Won

Actual result: 1-2 · Outcome: Away Win

Prediction guide

Al-Fayha vs Al-Qadisiyah FC questions

What is the Al-Fayha vs Al-Qadisiyah FC prediction?

The Kisure Sports model favours Al-Qadisiyah FC to Win with a predicted score of 1-2 and 53% confidence.

What are the win probabilities?

Al-Fayha are rated at 29%, the draw at 18%, and Al-Qadisiyah FC at 53%.

What data is used for this forecast?

The forecast uses saved recent form, home and away performance, goals scored and conceded, head-to-head results, standings context and available player-form data. Predictions are informational and do not guarantee an outcome.

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