JS Kabylie vs Al Merreikh: result 1-0 and analysis
CAF Champions LeaguePreliminary RoundKick-off on August 9, 2019 at 07:45 PM (UTC)Stade du 1er Novembre 1954, Tizi-Ouzou
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What was the result of JS Kabylie vs Al Merreikh?
JS Kabylie won 1-0 on August 9, 2019.
Goalscorers
- 43′Rida BensayahJS Kabylie
What is the recent form of both teams?
Over their last 15 matches in all competitions, JS Kabylie have 8 wins, 2 draws and 5 defeats; Al Merreikh have 10, 5 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2019 | Bordj BOU Arreridj(home) | 2-0 | Ligue 1 |
| May 21, 2019 | Hussein Dey(away) | 2-1 | Ligue 1 |
| May 16, 2019 | USM Alger(home) | 2-1 | Ligue 1 |
| May 11, 2019 | CS Constantine(away) | 0-2 | Ligue 1 |
| Apr 21, 2019 | MC Oran(home) | 4-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2019 | Al Hilal Omdurman(away) | 0-0 | Sudani Premier League |
| Jul 2, 2019 | Merreikh El-Fasher(home) | 3-1 | Sudani Premier League |
| Jul 1, 2019 | Al Khartoum(home) | 1-0 | Sudani Premier League |
| Jun 27, 2019 | Al Ahly Shendi(home) | 1-0 | Sudani Premier League |
| Jun 25, 2019 | Hilal Obayed(home) | 3-1 | Sudani Premier League |
How many goals should we expect?
JS Kabylie score 1.3 and concede 1.0 goals per match over their last 15; Al Merreikh score 2.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JS Kabylie | 1.3 | 1.0 | 5 | 7/15 | 5/15 |
| Al Merreikh | 2.1 | 0.5 | 9 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | JS Kabylie | 6 | 0 | 3 | 3 | 1 | 8 | 3 |
A question about JS Kabylie vs Al Merreikh?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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