Metalourg vs Obod: result 2-1 and analysis
Super LeagueRegular Season - 5Kick-off on April 16, 2016 at 11:30 AM (UTC)Metallurg Markaziy Stadion, Bekabad
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What was the result of Metalourg vs Obod?
Metalourg won 2-1 on April 16, 2016.
Goalscorers
- 3′103641Obod
- 51′73633Metalourg
- 68′73567Metalourg
Official lineup for Metalourg vs Obod
The starting elevens fielded at kick-off.
Metalourg
- JJ. Esonkulov
- AA. Nomanov
- MM. Suleymanov
- SS. Abdujabborov
- KK. Khoshimov
- DD. Karimov
- DD. Adilov
- ZZ. Abdullayev
- MMurod Toshmatov
- II. Kobilov
- ZZ. Safoyev
Obod
- KK. Giyosov
- JJ. Kaxramonov
- AA. Azizov
- SS. Norxonov
- SS. Turakulov
- DD. Hasanov
- AA. Khodjaev
- II. Ismoilov
- DD. Iskandarov
- SS. Djalilov
- DDilshod Xamroev
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metalourg have 6 wins, 1 draw and 8 defeats; Obod have 0, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Olmaliq(away) | 0-2 | Super League |
| Apr 2, 2016 | Shortan(home) | 3-2 | Super League |
| Mar 11, 2016 | Mash'al(away) | 3-1 | Super League |
| Mar 5, 2016 | Sogdiana(home) | 2-1 | Super League |
| Nov 20, 2015 | Shortan(home) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Qizilqum(home) | 2-2 | Super League |
| Apr 1, 2016 | Nasaf(away) | 0-1 | Super League |
| Mar 12, 2016 | Buxoro(home) | 0-0 | Super League |
| Mar 5, 2016 | Kokand-1912(away) | 0-1 | Super League |
How many goals should we expect?
Metalourg score 1.5 and concede 1.5 goals per match over their last 15; Obod score 0.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalourg | 1.5 | 1.5 | 1 | 10/15 | 9/15 |
| Obod | 0.5 | 1.0 | 1 | 1/4 | 1/4 |
Over the last 15 matches in all competitions.
A question about Metalourg vs Obod?
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