Obod vs Qizilqum: result 1-1 and analysis
Super LeagueRegular Season - 9Kick-off on May 6, 2017 at 12:00 PM (UTC)Stadion Majmuasi (SOK Jar), Tashkent
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What was the result of Obod vs Qizilqum?
Obod and Qizilqum drew 1-1 on May 6, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Obod have 3 wins, 4 draws and 8 defeats; Qizilqum have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Lokomotiv(away) | 0-7 | Super League |
| Apr 22, 2017 | Nasaf(away) | 0-1 | Super League |
| Apr 14, 2017 | Olmaliq(home) | 0-1 | Super League |
| Apr 7, 2017 | Sogdiana(away) | 0-1 | Super League |
| Mar 30, 2017 | Bunyodkor(home) | 1-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Nasaf(home) | 1-1 | Super League |
| Apr 22, 2017 | Olmaliq(away) | 0-0 | Super League |
| Apr 15, 2017 | Sogdiana(home) | 1-1 | Super League |
| Apr 6, 2017 | Bunyodkor(away) | 1-0 | Super League |
| Mar 31, 2017 | Buxoro(home) | 0-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 0 Obod wins, 1 draw, 1 Qizilqum win.
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2016 | Qizilqum 4-1 Obod | Super League |
| Apr 9, 2016 | Obod 2-2 Qizilqum | Super League |
How many goals should we expect?
Obod score 0.7 and concede 1.3 goals per match over their last 15; Qizilqum score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Obod | 0.7 | 1.3 | 3 | 6/15 | 4/15 |
| Qizilqum | 1.1 | 0.9 | 4 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Qizilqum | 24 | 10 | 3 | 11 | 24 | 30 | 33 |
A question about Obod vs Qizilqum?
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