Obod vs Navbahor: result 3-0 and analysis
Super LeagueRegular Season - 22Kick-off on September 16, 2016 at 12:00 PM (UTC)Stadion Majmuasi (SOK Jar), Tashkent
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What was the result of Obod vs Navbahor?
Obod won 3-0 on September 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Obod have 3 wins, 1 draw and 11 defeats; Navbahor have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Bunyodkor(away) | 0-3 | Super League |
| Aug 25, 2016 | Metalourg(home) | 1-1 | Super League |
| Aug 18, 2016 | Qizilqum(away) | 1-4 | Super League |
| Aug 12, 2016 | Nasaf(home) | 0-3 | Super League |
| Aug 8, 2016 | Buxoro(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2016 | Olmaliq(home) | 3-3 | Super League |
| Aug 25, 2016 | Shortan(away) | 2-3 | Super League |
| Aug 19, 2016 | Mash'al(home) | 3-2 | Super League |
| Aug 14, 2016 | Sogdiana(away) | 1-2 | Super League |
| Aug 8, 2016 | Neftchi(home) | 2-1 | Super League |
What does the head-to-head say?
In the last meeting: 0 Obod wins, 0 draws, 1 Navbahor win.
| Date | Score | Competition |
|---|---|---|
| Apr 30, 2016 | Navbahor 2-1 Obod | Super League |
How many goals should we expect?
Obod score 0.8 and concede 2.3 goals per match over their last 15; Navbahor score 1.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Obod | 0.8 | 2.3 | 1 | 8/15 | 10/15 |
| Navbahor | 1.7 | 2.1 | 1 | 10/15 | 12/15 |
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 | 23 | 13 | 6 | 4 | 41 | 23 | 45 |
A question about Obod vs Navbahor?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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