JS Saoura vs ES Setif: result 2-1 and analysis
Ligue 1Regular Season - 12Kick-off on November 19, 2016 at 06:00 PM (UTC)Stade du 20 Août 1955, Bechar
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What was the result of JS Saoura vs ES Setif?
JS Saoura won 2-1 on November 19, 2016.
Goalscorers
- 40′Moustapha DjallitJS Saoura (pen.)
- 73′A. BedraneES Setif
- 90′H. ZaidiJS Saoura
What is the recent form of both teams?
Over their last 11 matches in all competitions, JS Saoura have 4 wins, 3 draws and 4 defeats; ES Setif have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2016 | CA Batna(away) | 0-1 | Ligue 1 |
| Nov 4, 2016 | Hussein Dey(home) | 2-1 | Ligue 1 |
| Oct 27, 2016 | MC Alger(away) | 0-0 | Ligue 1 |
| Oct 22, 2016 | Usm El Harrach(home) | 4-1 | Ligue 1 |
| Oct 15, 2016 | USM Bel Abbes(away) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2016 | Usm El Harrach(away) | 0-1 | Ligue 1 |
| Nov 3, 2016 | MC Oran(home) | 0-0 | Ligue 1 |
| Oct 29, 2016 | Hussein Dey(away) | 2-0 | Ligue 1 |
| Oct 22, 2016 | CA Batna(home) | 2-0 | Ligue 1 |
| Oct 14, 2016 | RC Relizane(away) | 0-0 | Ligue 1 |
How many goals should we expect?
JS Saoura score 0.9 and concede 1.0 goals per match over their last 11; ES Setif score 1.6 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JS Saoura | 0.9 | 1.0 | 3 | 4/11 | 3/11 |
| ES Setif | 1.6 | 0.6 | 9 | 5/15 | 7/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
JS Saoura sit 15th in Ligue 1 (2 points from 4 matches) and ES Setif sit 10th (4 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | ES Setif | 4 | 1 | 1 | 2 | 5 | 3 | 4 |
| 15 | JS Saoura | 4 | 0 | 2 | 2 | 0 | 5 | 2 |
A question about JS Saoura vs ES Setif?
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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