Navbahor vs Obod: result 2-1 and analysis
Super LeagueRegular Season - 1Kick-off on March 4, 2017 at 11:00 AM (UTC)Markaziy Stadion, Namangan
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What was the result of Navbahor vs Obod?
Navbahor won 2-1 on March 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Navbahor have 2 wins, 3 draws and 10 defeats; Obod have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2016 | Andijan(away) | 0-1 | Super League |
| Nov 17, 2016 | Bunyodkor(away) | 1-1 | Super League |
| Nov 4, 2016 | Metalourg(away) | 1-5 | Super League |
| Oct 29, 2016 | Qizilqum(home) | 0-2 | Super League |
| Oct 22, 2016 | Nasaf(away) | 1-7 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2016 | Pakhtakor(away) | 1-1 | Super League |
| Nov 16, 2016 | Andijan(home) | 0-0 | Super League |
| Nov 4, 2016 | Olmaliq(home) | 2-0 | Super League |
| Oct 29, 2016 | Shortan(away) | 0-1 | Super League |
| Oct 24, 2016 | Mash'al(home) | 0-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 1 Navbahor win, 0 draws, 1 Obod win.
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2016 | Obod 3-0 Navbahor | Super League |
| Apr 30, 2016 | Navbahor 2-1 Obod | Super League |
How many goals should we expect?
Navbahor score 1.1 and concede 2.9 goals per match over their last 15; Obod score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Navbahor | 1.1 | 2.9 | 0 | 11/15 | 11/15 |
| Obod | 0.9 | 1.3 | 3 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Navbahor | 26 | 15 | 7 | 4 | 45 | 25 | 52 |
A question about Navbahor vs Obod?
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