Obod vs Navbahor: result 0-2 and analysis
Super LeagueRegular Season - 16Kick-off on August 5, 2017 at 12:30 PM (UTC)Stadion Majmuasi (SOK Jar), Tashkent
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What was the result of Obod vs Navbahor?
Navbahor won 0-2 on August 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Obod have 2 wins, 3 draws and 10 defeats; Navbahor have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2017 | Pakhtakor(home) | 1-4 | Super League |
| Jun 20, 2017 | Shortan(away) | 0-2 | Super League |
| Jun 14, 2017 | Metalourg(home) | 1-4 | Super League |
| May 26, 2017 | Mash'al(away) | 0-3 | Super League |
| May 18, 2017 | Dinamo Samarqand(home) | 3-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2017 | Nasaf(away) | 0-4 | Super League |
| Jun 20, 2017 | Olmaliq(home) | 1-1 | Super League |
| Jun 14, 2017 | Sogdiana(away) | 1-2 | Super League |
| May 27, 2017 | Bunyodkor(home) | 1-1 | Super League |
| May 18, 2017 | Buxoro(away) | 3-3 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 1 Obod win(s), 0 draw(s), 2 Navbahor win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 4, 2017 | Navbahor 2-1 Obod | Super League |
| Sep 16, 2016 | Obod 3-0 Navbahor | Super League |
| Apr 30, 2016 | Navbahor 2-1 Obod | Super League |
How many goals should we expect?
Obod score 0.7 and concede 2.0 goals per match over their last 15; Navbahor score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Obod | 0.7 | 2.0 | 1 | 7/15 | 6/15 |
| Navbahor | 1.1 | 1.3 | 4 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Navbahor | 11 | 6 | 2 | 3 | 14 | 8 | 20 |
| 4 | Navbahor | 18 | 10 | 4 | 4 | 29 | 17 | 34 |
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