Mash'al vs Obod: result 3-0 and analysis
Super LeagueRegular Season - 12Kick-off on May 26, 2017 at 01:30 PM (UTC)Stadion im. Bahrom Vafoyev, Mubarek
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What was the result of Mash'al vs Obod?
Mash'al won 3-0 on May 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mash'al have 5 wins, 5 draws and 5 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 |
|---|---|---|---|
| May 18, 2017 | Nasaf(away) | 0-1 | Super League |
| May 13, 2017 | Olmaliq(home) | 0-0 | Super League |
| May 6, 2017 | Sogdiana(away) | 0-3 | Super League |
| Apr 28, 2017 | Bunyodkor(home) | 1-0 | Super League |
| Apr 22, 2017 | Buxoro(away) | 2-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2017 | Dinamo Samarqand(home) | 3-1 | Super League |
| May 12, 2017 | Neftchi(away) | 0-1 | Super League |
| May 6, 2017 | Qizilqum(home) | 1-1 | Super League |
| Apr 29, 2017 | Lokomotiv(away) | 0-7 | Super League |
| Apr 22, 2017 | Nasaf(away) | 0-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 2 Mash'al wins, 0 draws, 0 Obod wins.
| Date | Score | Competition |
|---|---|---|
| Oct 24, 2016 | Obod 0-1 Mash'al | Super League |
| Jun 10, 2016 | Mash'al 5-0 Obod | Super League |
How many goals should we expect?
Mash'al score 0.9 and concede 0.8 goals per match over their last 15; Obod score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mash'al | 0.9 | 0.8 | 7 | 3/15 | 3/15 |
| Obod | 0.7 | 1.3 | 3 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | Mash'al | 23 | 1 | 1 | 21 | 11 | 47 | 4 |
A question about Mash'al vs Obod?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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