Blida vs RC Relizane: result 1-0 and analysis
Ligue 1Regular Season - 28Kick-off on May 13, 2016 at 04:30 PM (UTC)Stade Mustapha Tchaker, Blida
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What was the result of Blida vs RC Relizane?
Blida won 1-0 on May 13, 2016.
Goalscorers
- 20′Abdellah BoudinaBlida
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; RC Relizane 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 |
|---|---|---|---|
| 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 |
| Apr 2, 2016 | CS Constantine(home) | 0-0 | Ligue 1 |
| Mar 26, 2016 | MC Oran(away) | 0-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | JSM Skikda(home) | 1-0 | Ligue 1 |
| Apr 23, 2016 | CS Constantine(home) | 2-2 | Ligue 1 |
| Apr 9, 2016 | CR Belouizdad(away) | 3-3 | Ligue 1 |
| Apr 1, 2016 | USM Alger(home) | 3-0 | Ligue 1 |
| Mar 26, 2016 | MO Bejaia(away) | 1-1 | Ligue 1 |
What does the head-to-head say?
Across the last 3 meetings: 2 Blida wins, 0 draws, 1 RC Relizane win.
| Date | Score | Competition |
|---|---|---|
| Nov 28, 2015 | RC Relizane 5-1 Blida | Ligue 1 |
| Feb 13, 2015 | Blida 1-0 RC Relizane | Ligue 2 |
| Sep 26, 2014 | RC Relizane 1-2 Blida | Ligue 2 |
How many goals should we expect?
Blida score 0.7 and concede 1.3 goals per match over their last 15; RC Relizane score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Blida | 0.7 | 1.3 | 4 | 7/15 | 4/15 |
| RC Relizane | 1.5 | 1.3 | 4 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Blida vs RC Relizane?
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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