Metalourg vs Unired: result 2-2 and analysis
CupGroup Stage - 1Kick-off on April 12, 2023 at 01:10 PM (UTC)Metallurg Markaziy Stadion, Bekabad
Full time
What was the result of Metalourg vs Unired?
Metalourg and Unired drew 2-2 on April 12, 2023.
Goalscorers
- 44′H. GafurovMetalourg
- 55′A. MamatovUnired
- 67′M. ShamsiddinovUnired
- 89′I. IbragimovMetalourg
Official lineup for Metalourg vs Unired
The starting elevens fielded at kick-off.
Metalourg
- MM. Obradović
- HH. Gafurov
- AA. Qayumov
- EE. Ismoilov
- BB. Shodmonov
- DD. Tairov
- AA. Manazarov
- MM. Aliqulov
- MM. Abdurazzoqov
- II. Pulatov
- AA. Lobanov
Unired
- AA. Safarov
- AA. Mamatov
- II. Sharipov
- MM. Musurmonov
- AA. Qarshiyev
- MM. Lokaev
- HH. A'lamkhonov
- II. Karimov
- AA. Fayzullayev
- BB. Tursunov
- JJ. Jamolov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metalourg have 5 wins, 2 draws and 8 defeats; Unired have 2, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2023 | Sogdiana(away) | 2-2 | Super League |
| Apr 2, 2023 | Pakhtakor(home) | 1-3 | Super League |
| Mar 19, 2023 | Qizilqum(home) | 1-0 | Super League |
| Mar 11, 2023 | Navbahor(away) | 0-3 | Super League |
| Mar 3, 2023 | Neftchi(home) | 0-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2022 | Andijan II(away) | 0-1 | Cup |
| Mar 25, 2022 | Shahrixonchi(home) | 3-2 | Cup |
| Mar 23, 2022 | Paxtakor-79(away) | 4-2 | Cup |
How many goals should we expect?
Metalourg score 0.9 and concede 1.5 goals per match over their last 15; Unired score 2.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalourg | 0.9 | 1.5 | 5 | 7/15 | 9/15 |
| Unired | 2.3 | 1.7 | 0 | 2/3 | 2/3 |
Over the last 15 matches in all competitions.
A question about Metalourg vs Unired?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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