Lusail City vs Al Shamal: result 1-2 and analysis
Second DivisionRegular Season - 11Kick-off on January 22, 2020 at 03:00 PM (UTC)
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What was the result of Lusail City vs Al Shamal?
Al Shamal won 1-2 on January 22, 2020.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Lusail City have 2 wins, 1 draws and 7 defeats; Al Shamal have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2020 | Al Bidda SC(away) | 1-2 | Second Division |
| Jan 9, 2020 | Al Mesaimeer(home) | 0-5 | Second Division |
| Dec 19, 2019 | Al Waab(away) | 1-0 | Second Division |
| Nov 10, 2019 | Al-Markhiya(away) | 0-2 | Second Division |
| Nov 5, 2019 | Al Kharaitiyat(home) | 1-1 | Second Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2020 | Al Kharaitiyat(home) | 1-1 | Second Division |
| Jan 9, 2020 | Al-Markhiya(away) | 2-0 | Second Division |
| Dec 20, 2019 | Muaither SC(home) | 0-0 | Second Division |
| Nov 10, 2019 | Al Bidda SC(home) | 0-1 | Second Division |
| Nov 5, 2019 | Al Mesaimeer(home) | 2-2 | Second Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Lusail City win(s), 0 draw(s), 1 Al Shamal win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 24, 2019 | Al Shamal 3-1 Lusail City | Second Division |
Last archived meeting: Al Shamal vs Lusail City on Oct 24, 2019
How many goals should we expect?
Lusail City score 0.9 and concede 2.0 goals per match over their last 10; Al Shamal score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lusail City | 0.9 | 2.0 | 2 | 4/10 | 6/10 |
| Al Shamal | 1.4 | 1.2 | 4 | 8/15 | 7/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Lusail City | 14 | 9 | 2 | 3 | 28 | 14 | 29 |
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