Aral Nukus vs Yangiyer: result 0-3 and analysis
CupGroup Stage - 3Kick-off on April 14, 2022 at 12:00 PM (UTC)Stadion Turon, Nukus
Full time
What was the result of Aral Nukus vs Yangiyer?
Yangiyer won 0-3 on April 14, 2022.
Goalscorers
- 19′M. OdilovYangiyer
- 58′S. AbdujabborovYangiyer
- 77′S. BerdiyevYangiyer
Official lineup for Aral Nukus vs Yangiyer
The starting elevens fielded at kick-off.
Aral Nukus
- NNavruzbek Olimov
- SSunnatilla Mamadaliyev
- AAlbert Sdikov
- MMiras Karlibayev
- ZZulpikar Kuanishbayev
- MMirjalol Qurbonov
- TTimur Masharipov
- JJamshid Boranbayev
- JJamshid Gulmirzayev
- NNorxon Sheripov
- AAybek Shamshetov
Yangiyer
- TT. Usmanov
- SS. Berdiyev
- SS. Abdujabborov
- AA. Umarjonov
- MM. Rasulov
- MM. Odilov
- BB. Shodiev
- AA. Khojiakbarov
- AA. Begimkulov
- SS. Kholmatov
- AA. Khojayev
What is the recent form of both teams?
Over their last 4 matches in all competitions, Aral Nukus have 0 wins, 1 draw and 3 defeats; Yangiyer have 1, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2022 | Sogdiana(away) | 0-1 | Cup |
| Apr 28, 2021 | Lokomotiv(home) | 1-5 | Cup |
| Apr 24, 2021 | Andijan(home) | 1-1 | Cup |
| Apr 20, 2021 | Turan(away) | 1-4 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2022 | Andijan(home) | 1-3 | Cup |
| Apr 29, 2021 | Mash'al(away) | 0-2 | Cup |
| Apr 25, 2021 | Metalourg(away) | 0-2 | Cup |
| Apr 21, 2021 | Kokand-1912(home) | 2-1 | Cup |
How many goals should we expect?
Aral Nukus score 0.8 and concede 2.8 goals per match over their last 4; Yangiyer score 0.8 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aral Nukus | 0.8 | 2.8 | 0 | 3/4 | 2/4 |
| Yangiyer | 0.8 | 2.0 | 0 | 2/4 | 2/4 |
Over the last 4 matches in all competitions.
A question about Aral Nukus vs Yangiyer?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy