Gulistan vs Navbahor: result 2-1 and analysis
Super LeagueRegular Season - 21Kick-off on October 5, 2013 at 11:00 AM (UTC)Stadion Guliston, Guliston
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What was the result of Gulistan vs Navbahor?
Gulistan won 2-1 on October 5, 2013.
Goalscorers
- 10′73589Gulistan
- 42′243542Navbahor
- 84′B. AkbarovGulistan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gulistan have 3 wins, 0 draws and 12 defeats; Navbahor 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 |
|---|---|---|---|
| Sep 28, 2013 | Shortan(away) | 0-3 | Super League |
| Sep 21, 2013 | Neftchi(home) | 0-3 | Super League |
| Sep 14, 2013 | Metalourg(away) | 3-5 | Super League |
| Aug 26, 2013 | Pakhtakor(home) | 2-3 | Super League |
| Aug 16, 2013 | Lokomotiv(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | Olmaliq(home) | 1-3 | Super League |
| Sep 20, 2013 | Bunyodkor(away) | 0-5 | Super League |
| Sep 14, 2013 | Buxoro(home) | 2-3 | Super League |
| Aug 25, 2013 | Dinamo Samarqand(home) | 1-1 | Super League |
| Aug 17, 2013 | Shortan(away) | 3-1 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Gulistan win(s), 0 draw(s), 1 Navbahor win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2013 | Navbahor 3-0 Gulistan | Super League |
How many goals should we expect?
Gulistan score 0.9 and concede 2.6 goals per match over their last 15; Navbahor score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gulistan | 0.9 | 2.6 | 1 | 7/15 | 11/15 |
| Navbahor | 1.3 | 1.9 | 1 | 10/15 | 9/15 |
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