Paxtakor-79 vs Xorazm: result 2-3 and analysis
CupGroup Stage - 5Kick-off on June 4, 2023 at 12:30 PM (UTC)Markaziy Stadion, Namangan
Full time
What was the result of Paxtakor-79 vs Xorazm?
Xorazm won 2-3 on June 4, 2023.
Goalscorers
- 39′417420Paxtakor-79
- 51′S. MelievXorazm
- 54′T. Neville MbanveiXorazm
- 63′297432Paxtakor-79
- 80′T. Neville MbanveiXorazm
Official lineup for Paxtakor-79 vs Xorazm
The starting elevens fielded at kick-off.
Paxtakor-79
- II. Chikrizov
- SS. Sadullaev
- JJ. Rahimov
- EE. Usmonov
- AA. Lutfullaev
- UU. Aknazarov
- EE. Rustamov
- HH. Qahhorov
- AA. Kholdorov
- KK. Matyoqubov
- DDian Talkhatov
Xorazm
- SS. Beshimov
- OO. Niyazmetov
- TT. Neville Mbanvei
- AA. Khusinov
- JJ. Akhmadov
- KK. Shodmonov
- JJ. Zaripboev
- JJ. Jumayev
- SS. Jalolov
- UU. Sharipov
- UU. Khamroyev
What is the recent form of both teams?
Over their last 3 matches in all competitions, Paxtakor-79 have 1 win, 1 draw and 1 defeat; Xorazm have 2, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2023 | Lokomotiv BFK(away) | 1-1 | Cup |
| Apr 25, 2023 | Shahrixonchi(home) | 2-1 | Cup |
| Mar 23, 2022 | Unired(home) | 2-4 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2023 | Shahrixonchi(home) | 2-0 | Cup |
| Apr 25, 2023 | Lokomotiv BFK(home) | 1-0 | Cup |
| Apr 19, 2022 | Lokomotiv(away) | 1-2 | Cup |
| Apr 13, 2022 | Olmaliq(home) | 0-3 | Cup |
| Apr 7, 2022 | Zaamin(away) | 1-3 | Cup |
How many goals should we expect?
Paxtakor-79 score 1.7 and concede 2.0 goals per match over their last 3; Xorazm score 1.1 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paxtakor-79 | 1.7 | 2.0 | 0 | 3/3 | 2/3 |
| Xorazm | 1.1 | 2.4 | 2 | 6/9 | 7/9 |
Over the last 3 matches in all competitions.
A question about Paxtakor-79 vs Xorazm?
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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