Turan vs Navbahor: result 0-1 and analysis
Super LeagueRegular Season - 19Kick-off on September 20, 2021 at 02:00 PM (UTC)O'zbekiston Stadioni, Yaypan
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What was the result of Turan vs Navbahor?
Navbahor won 0-1 on September 20, 2021.
Goalscorers
- 37′N. ZiyovutdinovNavbahor (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Turan have 3 wins, 3 draws and 9 defeats; Navbahor have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2021 | Olmaliq(away) | 0-2 | Super League |
| Sep 15, 2021 | MOIK(home) | 0-2 | Birinci Dasta |
| Sep 11, 2021 | Nasaf(home) | 0-2 | Super League |
| Aug 27, 2021 | Lokomotiv(away) | 1-3 | Super League |
| Aug 19, 2021 | Pakhtakor(away) | 0-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2021 | Pakhtakor(away) | 0-0 | Super League |
| Sep 10, 2021 | Olmaliq(home) | 0-0 | Super League |
| Aug 29, 2021 | Nasaf(away) | 1-0 | Super League |
| Aug 20, 2021 | Bunyodkor(away) | 0-1 | Cup |
| Aug 15, 2021 | Lokomotiv(home) | 1-0 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Turan win(s), 1 draw(s), 0 Navbahor win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 16, 2021 | Navbahor 0-0 Turan | Super League |
How many goals should we expect?
Turan score 0.7 and concede 1.4 goals per match over their last 15; Navbahor score 0.9 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Turan | 0.7 | 1.4 | 3 | 5/15 | 5/15 |
| Navbahor | 0.9 | 0.6 | 7 | 5/15 | 4/15 |
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