Obod vs Pakhtakor: result 1-4 and analysis
Super LeagueRegular Season - 15Kick-off on June 24, 2017 at 01:30 PM (UTC)Stadion Majmuasi (SOK Jar), Tashkent
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What was the result of Obod vs Pakhtakor?
Pakhtakor won 1-4 on June 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Obod have 2 wins, 4 draws and 9 defeats; Pakhtakor have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2017 | Shortan(away) | 0-2 | Super League |
| Jun 14, 2017 | Metalourg(home) | 1-4 | Super League |
| May 26, 2017 | Mash'al(away) | 0-3 | Super League |
| May 18, 2017 | Dinamo Samarqand(home) | 3-1 | Super League |
| May 12, 2017 | Neftchi(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2017 | Nasaf(home) | 2-1 | Super League |
| Jun 15, 2017 | Olmaliq(away) | 0-2 | Super League |
| May 26, 2017 | Sogdiana(home) | 3-2 | Super League |
| May 17, 2017 | Bunyodkor(away) | 1-1 | Super League |
| May 12, 2017 | Buxoro(home) | 2-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 0 Obod wins, 1 draw, 1 Pakhtakor win.
| Date | Score | Competition |
|---|---|---|
| Nov 22, 2016 | Pakhtakor 1-1 Obod | Super League |
| Jun 30, 2016 | Obod 1-4 Pakhtakor | Super League |
How many goals should we expect?
Obod score 0.7 and concede 1.8 goals per match over their last 15; Pakhtakor score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Obod | 0.7 | 1.8 | 1 | 7/15 | 5/15 |
| Pakhtakor | 1.1 | 1.3 | 3 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Pakhtakor | 23 | 15 | 7 | 1 | 42 | 21 | 52 |
A question about Obod vs Pakhtakor?
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