Blida vs JS Kabylie: result 0-2 and analysis
Ligue 1Regular Season - 26Kick-off on April 23, 2016 at 03:00 PM (UTC)Stade Mustapha Tchaker, Blida
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What was the result of Blida vs JS Kabylie?
JS Kabylie won 0-2 on April 23, 2016.
Goalscorers
- 85′Mohamed El Hadi BoulaouidetJS Kabylie
- 86′M. MedjkaneJS Kabylie
What is the recent form of both teams?
Over their last 15 matches in all competitions, Blida have 3 wins, 8 draws and 4 defeats; JS Kabylie have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2016 | MO Bejaia(away) | 1-1 | Ligue 1 |
| Apr 2, 2016 | CS Constantine(home) | 0-0 | Ligue 1 |
| Mar 26, 2016 | MC Oran(away) | 0-0 | Ligue 1 |
| Mar 8, 2016 | ES Setif(home) | 2-1 | Ligue 1 |
| Feb 27, 2016 | Hussein Dey(away) | 0-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Hussein Dey(home) | 1-0 | Ligue 1 |
| Apr 2, 2016 | Usm El Harrach(away) | 1-0 | Ligue 1 |
| Mar 19, 2016 | MC Alger(home) | 2-1 | Ligue 1 |
| Mar 12, 2016 | JSM Skikda(away) | 0-3 | Ligue 1 |
| Feb 27, 2016 | Tadjenant(home) | 1-1 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 Blida wins, 1 draw, 0 JS Kabylie wins.
| Date | Score | Competition |
|---|---|---|
| Nov 6, 2015 | JS Kabylie 0-0 Blida | Ligue 1 |
How many goals should we expect?
Blida score 0.7 and concede 1.2 goals per match over their last 15; JS Kabylie score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Blida | 0.7 | 1.2 | 5 | 7/15 | 4/15 |
| JS Kabylie | 0.7 | 0.8 | 7 | 4/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | JS Kabylie | 3 | 2 | 0 | 1 | 2 | 1 | 6 |
A question about Blida vs JS Kabylie?
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