Aral vs Jayxun: result 4-0 and analysis
Pro League ARegular Season - 1Kick-off on April 3, 2025 at 11:00 AM (UTC)Stadion Turon, Nukus
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What was the result of Aral vs Jayxun?
Aral won 4-0 on April 3, 2025.
Goalscorers
- 34′Salamat KutybaevAral
- 53′A. AlievAral
- 57′591428Aral
- 86′Izzatillo AbdulkhakovAral
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aral have 4 wins, 3 draws and 8 defeats; Jayxun have 1, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2024 | Xorazm(home) | 3-1 | Pro League A |
| Nov 22, 2024 | Buxoro(away) | 2-3 | Pro League A |
| Nov 5, 2024 | Shortan(home) | 2-1 | Pro League A |
| Oct 28, 2024 | Olimpik-Mobiuz(away) | 0-1 | Pro League A |
| Oct 24, 2024 | Kokand-1912(away) | 1-2 | Pro League A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Bunyodkor(away) | 0-7 | Cup |
| Apr 21, 2024 | Shortan(away) | 1-2 | Cup |
| Apr 14, 2024 | Qiziriq(home) | 2-2 | Cup |
| Mar 26, 2023 | Olimpiya Toshkent(home) | 1-2 | Cup |
| Mar 24, 2023 | Sementchi Kuvasoy(away) | 1-0 | Cup |
How many goals should we expect?
Aral score 0.9 and concede 1.5 goals per match over their last 15; Jayxun score 1.0 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aral | 0.9 | 1.5 | 3 | 8/15 | 9/15 |
| Jayxun | 1.0 | 2.6 | 1 | 3/5 | 4/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Aral sit 1st in Pro League A (39 points from 16 matches) and Jayxun sit 10th (18 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Aral | 16 | 12 | 3 | 1 | 33 | 10 | 39 |
| 1 | Aral | 10 | 8 | 2 | 0 | 24 | 7 | 26 |
| 10 | Jayxun | 17 | 5 | 3 | 9 | 19 | 24 | 18 |
| 11 | Jayxun | 10 | 2 | 2 | 6 | 7 | 16 | 8 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy