Olympique Medea vs ES Setif: result 1-3 and analysis
Ligue 1Regular Season - 3Kick-off on September 10, 2016 at 04:00 PM (UTC)Stade Imam Lyes, Médéa
Full time
What was the result of Olympique Medea vs ES Setif?
ES Setif won 1-3 on September 10, 2016.
Goalscorers
- 1′R. NadjiES Setif (pen.)
- 24′Hamza Aït OuamarES Setif
- 30′A. DjabouES Setif (pen.)
- 82′T. AddadiOlympique Medea
What is the recent form of both teams?
Over their last 15 matches in all competitions, Olympique Medea have 8 wins, 2 draws and 5 defeats; ES Setif 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 |
|---|---|---|---|
| Aug 27, 2016 | MC Oran(away) | 1-2 | Ligue 1 |
| Aug 20, 2016 | CA Batna(home) | 1-0 | Ligue 1 |
| May 6, 2016 | El Eulma(away) | 0-1 | Ligue 2 |
| Apr 29, 2016 | Amal BOU Saada(home) | 1-3 | Ligue 2 |
| Apr 22, 2016 | Paradou AC(away) | 1-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | CR Belouizdad(home) | 2-1 | Ligue 1 |
| Aug 20, 2016 | CS Constantine(away) | 2-2 | Ligue 1 |
| May 27, 2016 | MC Alger(away) | 2-2 | Ligue 1 |
| May 20, 2016 | JS Kabylie(home) | 2-0 | Ligue 1 |
| May 13, 2016 | RC Arba(away) | 3-0 | Ligue 1 |
How many goals should we expect?
Olympique Medea score 1.1 and concede 0.9 goals per match over their last 15; ES Setif score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olympique Medea | 1.1 | 0.9 | 7 | 6/15 | 6/15 |
| ES Setif | 1.5 | 0.7 | 7 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | ES Setif | 5 | 1 | 2 | 2 | 6 | 4 | 5 |
A question about Olympique Medea 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