Metalourg vs Surkhon: result 2-0 and analysis
Super LeagueRegular Season - 26Kick-off on November 30, 2019 at 10:00 AM (UTC)Metallurg Markaziy Stadion, Bekabad
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What was the result of Metalourg vs Surkhon?
Metalourg won 2-0 on November 30, 2019.
Goalscorers
- 22′?Metalourg
- 29′A. ToshkuzievMetalourg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metalourg have 5 wins, 5 draws and 5 defeats; Surkhon 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 |
|---|---|---|---|
| Nov 27, 2019 | Buxoro(away) | 0-0 | Super League |
| Nov 23, 2019 | Dinamo Samarqand(home) | 5-0 | Super League |
| Oct 29, 2019 | Qizilqum(away) | 1-1 | Super League |
| Oct 18, 2019 | Sogdiana(home) | 0-1 | Super League |
| Sep 30, 2019 | Kokand-1912(away) | 3-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2019 | Dinamo Samarqand(away) | 1-2 | Super League |
| Nov 24, 2019 | Sogdiana(home) | 1-0 | Super League |
| Oct 31, 2019 | Pakhtakor(away) | 1-3 | Super League |
| Oct 19, 2019 | Navbahor(home) | 0-0 | Super League |
| Oct 2, 2019 | Andijan(away) | 1-2 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Metalourg win(s), 1 draw(s), 0 Surkhon win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 10, 2019 | Surkhon 1-1 Metalourg | Super League |
How many goals should we expect?
Metalourg score 1.2 and concede 1.0 goals per match over their last 15; Surkhon score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalourg | 1.2 | 1.0 | 3 | 8/15 | 5/15 |
| Surkhon | 0.9 | 1.5 | 6 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 12 | Surkhon | 11 | 3 | 3 | 5 | 11 | 18 | 12 |
| 15 | Surkhon | 18 | 5 | 4 | 9 | 16 | 26 | 19 |
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