ES Setif vs JSM Bejaia: result 1-2 and analysis
Ligue 1Regular Season - 3Kick-off on September 24, 2011 at 07:45 PM (UTC)Stade du 8 Mai 1945, Sétif
Full time
What was the result of ES Setif vs JSM Bejaia?
JSM Bejaia won 1-2 on September 24, 2011.
Goalscorers
- 32′William YabeunJSM Bejaia
- 60′Antar BoucheritJSM Bejaia
- 89′A. DjabouES Setif
Official lineup for ES Setif vs JSM Bejaia
The starting elevens fielded at kick-off.
ES Setif
- MMohamed Amine Aoudia
- RR. Nadji
- MMourad Delhoum
- AA. Djabou
- AA. Karaoui
- MM. Tiouli
- AAbderrahmane Hachoud
- SSmail Diss
- SSofiene Zaaboub
- MMokhtar Benmoussa
- NN. Benkhodja
JSM Bejaia
- MMoustapha Djallit
- WWilliam Yabeun
- AAntar Boucherit
- TTayeb Marouci
- BB. Ouali
- BBrahim Zafour
- AAmine Megateli
- AAmer Belakhdar
- AA. Maïza
- RRedhouane Bachiri
- YYacine Djebarat
What is the recent form of both teams?
Over their last 2 matches in all competitions, ES Setif have 1 win, 0 draws and 1 defeat; JSM Bejaia have 1, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2011 | MC Alger(away) | 0-1 | Ligue 1 |
| Sep 10, 2011 | Hussein Dey(home) | 3-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2011 | Hussein Dey(home) | 1-0 | Ligue 1 |
| Sep 10, 2011 | CS Constantine(away) | 0-0 | Ligue 1 |
How many goals should we expect?
ES Setif score 1.5 and concede 1.5 goals per match over their last 2; JSM Bejaia score 0.5 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ES Setif | 1.5 | 1.5 | 0 | 1/2 | 1/2 |
| JSM Bejaia | 0.5 | 0.0 | 2 | 0/2 | 0/2 |
Over the last 2 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 ES Setif vs JSM Bejaia?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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