Obod vs Nasaf: result 0-3 and analysis
Super LeagueRegular Season - 18Kick-off on August 12, 2016 at 01:00 PM (UTC)Stadion Majmuasi (SOK Jar), Tashkent
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What was the result of Obod vs Nasaf?
Nasaf won 0-3 on August 12, 2016.
Goalscorers
- 12′F. SayfiyevNasaf
- 52′F. MusaevNasaf
- 66′D. ĆeranNasaf
What is the recent form of both teams?
Over their last 15 matches in all competitions, Obod have 3 wins, 1 draws and 11 defeats; Nasaf have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2016 | Buxoro(away) | 0-1 | Super League |
| Aug 2, 2016 | Kokand-1912(home) | 2-1 | Super League |
| Jun 30, 2016 | Pakhtakor(home) | 1-4 | Super League |
| Jun 25, 2016 | Andijan(away) | 1-0 | Super League |
| Jun 20, 2016 | Olmaliq(away) | 1-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2016 | Olmaliq(home) | 2-1 | Super League |
| Aug 3, 2016 | Shortan(away) | 3-0 | Super League |
| Jul 1, 2016 | Mash'al(away) | 0-1 | Super League |
| Jun 26, 2016 | Sogdiana(home) | 2-1 | Super League |
| Jun 21, 2016 | Neftchi(away) | 2-2 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Obod win(s), 0 draw(s), 1 Nasaf win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 1, 2016 | Nasaf 1-0 Obod | Super League |
How many goals should we expect?
Obod score 0.9 and concede 2.1 goals per match over their last 15; Nasaf score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Obod | 0.9 | 2.1 | 1 | 8/15 | 10/15 |
| Nasaf | 1.5 | 0.9 | 5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Nasaf | 18 | 6 | 7 | 5 | 20 | 17 | 25 |
| 9 | Nasaf | 11 | 3 | 5 | 3 | 12 | 11 | 14 |
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