Lokomotiv vs Obod: result 7-0 and analysis
Super LeagueRegular Season - 8Kick-off on April 29, 2017 at 01:00 PM (UTC)Stadion Lokomotiv, Tashkent
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What was the result of Lokomotiv vs Obod?
Lokomotiv won 7-0 on April 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotiv have 10 wins, 2 draws and 3 defeats; Obod have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2017 | Al Taawon(home) | 4-4 | AFC Champions League Elite |
| Apr 21, 2017 | Pakhtakor(away) | 2-1 | Super League |
| Apr 15, 2017 | Nasaf(home) | 2-1 | Super League |
| Apr 11, 2017 | Esteghlal FC(home) | 1-1 | AFC Champions League Elite |
| Apr 6, 2017 | Shortan(away) | 0-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Nasaf(away) | 0-1 | Super League |
| Apr 14, 2017 | Olmaliq(home) | 0-1 | Super League |
| Apr 7, 2017 | Sogdiana(away) | 0-1 | Super League |
| Mar 30, 2017 | Bunyodkor(home) | 1-1 | Super League |
| Mar 18, 2017 | Buxoro(away) | 1-0 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 1 Lokomotiv win, 1 draw, 0 Obod wins.
| Date | Score | Competition |
|---|---|---|
| Sep 23, 2016 | Lokomotiv 1-1 Obod | Super League |
| May 8, 2016 | Obod 0-2 Lokomotiv | Super League |
How many goals should we expect?
Lokomotiv score 1.9 and concede 1.0 goals per match over their last 15; Obod score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotiv | 1.9 | 1.0 | 6 | 6/15 | 7/15 |
| Obod | 0.7 | 0.9 | 3 | 7/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Lokomotiv | 23 | 11 | 5 | 7 | 39 | 30 | 38 |
A question about Lokomotiv vs Obod?
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