Aral vs Yaypan: result 5-1 and analysis
Pro League ARegular Season - 7Kick-off on May 6, 2026 at 12:00 PM (UTC)Stadion Turon, Nukus
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What was the result of Aral vs Yaypan?
Aral won 5-1 on May 6, 2026.
Goalscorers
- 18′Ruslan AnuarovAral
- 28′663909Aral (o.g.)
- 39′Mukhammadali NomozovAral
- 46′Ruslan KalmagambetovAral
- 53′658194Aral
- 57′662753Yaypan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aral have 9 wins, 3 draws and 3 defeats; Yaypan have 2, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2026 | Lochin(away) | 2-2 | Pro League A |
| Apr 26, 2026 | FarDu(home) | 2-0 | Pro League A |
| Apr 21, 2026 | Kattaqurgon(away) | 1-1 | Pro League A |
| Apr 17, 2026 | Olimpik-Mobiuz(home) | 1-0 | Pro League A |
| Apr 12, 2026 | BuxDu(away) | 3-1 | Pro League A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2026 | Gazalkent(home) | 1-2 | Pro League A |
| Apr 24, 2026 | Shortan(away) | 2-2 | Pro League A |
| Apr 20, 2026 | Jayxun(home) | 2-0 | Pro League A |
| Apr 11, 2026 | Qiziriq(home) | 2-1 | Pro League A |
| Apr 5, 2026 | Metalourg(home) | 1-2 | Pro League A |
How many goals should we expect?
Aral score 1.6 and concede 0.9 goals per match over their last 15; Yaypan score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aral | 1.6 | 0.9 | 5 | 8/15 | 7/15 |
| Yaypan | 1.6 | 1.4 | 1 | 4/5 | 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 Yaypan sit 9th (21 points from 16 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 |
| 8 | Yaypan | 10 | 4 | 1 | 5 | 13 | 20 | 13 |
| 9 | Yaypan | 16 | 6 | 3 | 7 | 19 | 25 | 21 |
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