Obod vs Olmaliq: result 0-1 and analysis
Super LeagueRegular Season - 6Kick-off on April 14, 2017 at 12:00 PM (UTC)Stadion Majmuasi (SOK Jar), Tashkent
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What was the result of Obod vs Olmaliq?
Olmaliq won 0-1 on April 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Obod have 4 wins, 5 draws and 6 defeats; Olmaliq have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2017 | Sogdiana(away) | 0-1 | Super League |
| Mar 30, 2017 | Bunyodkor(home) | 1-1 | Super League |
| Mar 18, 2017 | Buxoro(away) | 1-0 | Super League |
| Mar 10, 2017 | Kokand-1912(home) | 1-1 | Super League |
| Mar 4, 2017 | Navbahor(away) | 1-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2017 | Nasaf(home) | 1-0 | Super League |
| Mar 31, 2017 | Lokomotiv(away) | 0-5 | Super League |
| Mar 18, 2017 | Sogdiana(away) | 2-3 | Super League |
| Mar 9, 2017 | Bunyodkor(home) | 0-0 | Super League |
| Mar 4, 2017 | Buxoro(away) | 0-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 1 Obod win, 0 draws, 1 Olmaliq win.
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2016 | Obod 2-0 Olmaliq | Super League |
| Jun 20, 2016 | Olmaliq 3-1 Obod | Super League |
How many goals should we expect?
Obod score 0.9 and concede 1.0 goals per match over their last 15; Olmaliq score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Obod | 0.9 | 1.0 | 4 | 7/15 | 5/15 |
| Olmaliq | 0.7 | 1.9 | 3 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Olmaliq | 23 | 10 | 6 | 7 | 33 | 31 | 36 |
A question about Obod vs Olmaliq?
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