JS Saoura vs Usm El Harrach: result 4-1 and analysis
Ligue 1Regular Season - 8Kick-off on October 22, 2016 at 06:00 PM (UTC)Stade du 20 Août 1955, Bechar
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What was the result of JS Saoura vs Usm El Harrach?
JS Saoura won 4-1 on October 22, 2016.
Goalscorers
- 31′M. HammiaJS Saoura (pen.)
- 33′M. DaharUsm El Harrach (pen.)
- 39′A. BourdimJS Saoura
- 59′A. BourdimJS Saoura
- 90′H. ZaidiJS Saoura
What is the recent form of both teams?
Over their last 7 matches in all competitions, JS Saoura have 2 wins, 2 draws and 3 defeats; Usm El Harrach have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | USM Bel Abbes(away) | 1-1 | Ligue 1 |
| Oct 1, 2016 | JS Kabylie(home) | 1-0 | Ligue 1 |
| Sep 24, 2016 | RC Relizane(away) | 0-3 | Ligue 1 |
| Sep 17, 2016 | Olympique Medea(home) | 1-1 | Ligue 1 |
| Sep 8, 2016 | CR Belouizdad(away) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Tadjenant(home) | 1-0 | Ligue 1 |
| Sep 30, 2016 | MC Oran(away) | 0-1 | Ligue 1 |
| Sep 22, 2016 | Hussein Dey(home) | 1-1 | Ligue 1 |
| Sep 17, 2016 | CA Batna(away) | 0-1 | Ligue 1 |
| Sep 10, 2016 | JS Kabylie(away) | 0-0 | Ligue 1 |
How many goals should we expect?
JS Saoura score 0.6 and concede 1.1 goals per match over their last 7; Usm El Harrach score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JS Saoura | 0.6 | 1.1 | 2 | 2/7 | 1/7 |
| Usm El Harrach | 0.7 | 0.9 | 6 | 5/15 | 3/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | JS Saoura | 6 | 0 | 3 | 3 | 0 | 6 | 3 |
A question about JS Saoura vs Usm El Harrach?
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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