Al-Markhiya vs Al-Khor: result 1-1 and analysis
Stars LeagueRegular Season - 17Kick-off on February 17, 2018 at 01:45 PM (UTC)Saoud Bin Abdulrahman Stadium (Al-Wakrah Stadium), Al-Wakra
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What was the result of Al-Markhiya vs Al-Khor?
Al-Markhiya and Al-Khor drew 1-1 on February 17, 2018.
Goalscorers
- 5′Mohamed SalahAl-Markhiya
- 65′Talal Al ShilaAl-Khor (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Markhiya have 1 wins, 5 draws and 9 defeats; Al-Khor have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2018 | Al Kharaitiyat(away) | 2-3 | Stars League |
| Feb 2, 2018 | Al-Rayyan SC(home) | 1-3 | Stars League |
| Jan 26, 2018 | Al-Sailiya(away) | 1-4 | Stars League |
| Jan 19, 2018 | Qatar SC(home) | 0-1 | Stars League |
| Jan 13, 2018 | Al Sadd(away) | 0-0 | Stars League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2018 | UMM Salal(home) | 1-2 | Stars League |
| Feb 3, 2018 | Al-Gharafa(home) | 1-2 | Stars League |
| Jan 27, 2018 | Al Kharaitiyat(home) | 2-0 | Stars League |
| Jan 18, 2018 | Al Ahli Doha(away) | 2-2 | Stars League |
| Jan 13, 2018 | Al-Rayyan SC(away) | 0-3 | Stars League |
What does the head-to-head say?
Across the last 1 meetings: 1 Al-Markhiya win(s), 0 draw(s), 0 Al-Khor win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2017 | Al-Khor 0-1 Al-Markhiya | Stars League |
Last archived meeting: Al-Khor vs Al-Markhiya on Oct 20, 2017
How many goals should we expect?
Al-Markhiya score 0.8 and concede 1.8 goals per match over their last 15; Al-Khor score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Markhiya | 0.8 | 1.8 | 3 | 9/15 | 6/15 |
| Al-Khor | 1.1 | 1.7 | 3 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
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