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 win(s), 1 draw(s), 1 Qizilqum win(s).
| 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Qizilqum | 11 | 4 | 1 | 6 | 8 | 15 | 13 |
| 12 | Qizilqum | 18 | 6 | 2 | 10 | 16 | 26 | 20 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy