Metalourg vs Mash'al: result 2-1 and analysis
Super LeagueRegular Season - 25Kick-off on November 17, 2012 at 09:00 AM (UTC)Metallurg Markaziy Stadion, Bekabad
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What was the result of Metalourg vs Mash'al?
Metalourg won 2-1 on November 17, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metalourg have 4 wins, 2 draws and 9 defeats; Mash'al have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2012 | Qizilqum(away) | 0-0 | Super League |
| Oct 19, 2012 | Shortan(home) | 4-0 | Super League |
| Oct 6, 2012 | Navbahor(away) | 0-1 | Super League |
| Sep 27, 2012 | Bunyodkor(home) | 1-3 | Super League |
| Sep 21, 2012 | Lokomotiv(away) | 1-5 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2012 | Buxoro(home) | 1-1 | Super League |
| Oct 20, 2012 | Olmaliq(away) | 0-4 | Super League |
| Oct 5, 2012 | Dinamo Samarqand(home) | 2-0 | Super League |
| Sep 27, 2012 | Nasaf(away) | 0-3 | Super League |
| Sep 22, 2012 | Neftchi(home) | 3-0 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Metalourg win(s), 0 draw(s), 1 Mash'al win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 24, 2012 | Mash'al 2-1 Metalourg | Super League |
How many goals should we expect?
Metalourg score 1.1 and concede 2.1 goals per match over their last 15; Mash'al score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalourg | 1.1 | 2.1 | 3 | 7/15 | 9/15 |
| Mash'al | 0.9 | 1.5 | 4 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | Mash'al | 11 | 0 | 0 | 11 | 4 | 21 | 0 |
| 16 | Mash'al | 18 | 1 | 1 | 16 | 8 | 32 | 4 |
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