Turan vs Sogdiana: result 1-0 and analysis
Super LeagueRegular Season - 23Kick-off on October 26, 2023 at 01:15 PM (UTC)O'zbekiston Stadioni, Yaypan
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What was the result of Turan vs Sogdiana?
Turan won 1-0 on October 26, 2023.
Goalscorers
- 58′K. MukhtarovTuran (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Turan have 4 wins, 4 draws and 7 defeats; Sogdiana 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 |
|---|---|---|---|
| Oct 20, 2023 | Pakhtakor(away) | 0-3 | Super League |
| Oct 5, 2023 | Metalourg(home) | 1-1 | Super League |
| Sep 28, 2023 | Navbahor(away) | 0-5 | Super League |
| Sep 2, 2023 | Nasaf(home) | 1-2 | Cup |
| Aug 25, 2023 | Olympic(away) | 0-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2023 | Andijan(home) | 1-2 | Super League |
| Oct 7, 2023 | Olmaliq(away) | 2-3 | Super League |
| Sep 30, 2023 | Qizilqum(away) | 2-4 | Super League |
| Sep 24, 2023 | Pakhtakor(home) | 1-1 | Super League |
| Aug 30, 2023 | Metalourg(away) | 1-3 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Turan win(s), 0 draw(s), 1 Sogdiana win(s).
| Date | Score | Competition |
|---|---|---|
| May 13, 2023 | Sogdiana 2-0 Turan | Super League |
How many goals should we expect?
Turan score 0.9 and concede 1.5 goals per match over their last 15; Sogdiana score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Turan | 0.9 | 1.5 | 4 | 7/15 | 7/15 |
| Sogdiana | 1.7 | 1.6 | 4 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Sogdiana | 19 | 7 | 3 | 9 | 32 | 39 | 24 |
| 15 | Sogdiana | 11 | 2 | 3 | 6 | 19 | 25 | 9 |
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