Blida vs USM Alger: result 1-0 and analysis
Ligue 1Regular Season - 30Kick-off on May 27, 2016 at 04:30 PM (UTC)Stade Mustapha Tchaker, Blida
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What was the result of Blida vs USM Alger?
Blida won 1-0 on May 27, 2016.
Goalscorers
- 55′Mustapha MelikaBlida
What is the recent form of both teams?
Over their last 15 matches in all competitions, Blida have 3 wins, 7 draws and 5 defeats; USM Alger have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2016 | JSM Skikda(away) | 1-2 | Ligue 1 |
| May 13, 2016 | RC Relizane(home) | 1-0 | Ligue 1 |
| Apr 29, 2016 | CR Belouizdad(away) | 1-1 | Ligue 1 |
| Apr 23, 2016 | JS Kabylie(home) | 0-2 | Ligue 1 |
| Apr 15, 2016 | MO Bejaia(away) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2016 | Tadjenant(home) | 2-1 | Ligue 1 |
| May 13, 2016 | Usm El Harrach(away) | 0-3 | Ligue 1 |
| Apr 30, 2016 | ASM Oran(home) | 3-0 | Ligue 1 |
| Apr 22, 2016 | MC Alger(away) | 2-2 | Ligue 1 |
| Apr 9, 2016 | JSM Skikda(home) | 1-2 | Ligue 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 Blida win(s), 0 draw(s), 1 USM Alger win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 26, 2015 | USM Alger 3-0 Blida | Ligue 1 |
How many goals should we expect?
Blida score 0.6 and concede 1.1 goals per match over their last 15; USM Alger score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Blida | 0.6 | 1.1 | 5 | 6/15 | 3/15 |
| USM Alger | 1.6 | 1.1 | 6 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | USM Alger | 30 | 8 | 15 | 7 | 34 | 29 | 39 |
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