USM Bel Abbes vs JS Saoura: result 1-1 and analysis
Ligue 1Regular Season - 7Kick-off on October 15, 2016 at 04:00 PM (UTC)Stade du 24 février 1956, Sidi Bel Abbès
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What was the result of USM Bel Abbes vs JS Saoura?
USM Bel Abbes and JS Saoura drew 1-1 on October 15, 2016.
Goalscorers
- 21′I. KorbiaaUSM Bel Abbes
- 90′H. ZaidiJS Saoura
What is the recent form of both teams?
Over their last 15 matches in all competitions, USM Bel Abbes have 3 wins, 6 draws and 6 defeats; JS Saoura have 2, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2016 | CS Constantine(away) | 1-3 | Ligue 1 |
| Sep 24, 2016 | ES Setif(home) | 2-1 | Ligue 1 |
| Sep 16, 2016 | MC Oran(away) | 0-1 | Ligue 1 |
| Sep 10, 2016 | Hussein Dey(home) | 2-2 | Ligue 1 |
| Aug 27, 2016 | CA Batna(away) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 27, 2016 | CS Constantine(home) | 1-0 | Ligue 1 |
How many goals should we expect?
USM Bel Abbes score 0.7 and concede 1.1 goals per match over their last 15; JS Saoura score 0.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USM Bel Abbes | 0.7 | 1.1 | 3 | 7/15 | 4/15 |
| JS Saoura | 0.5 | 1.2 | 2 | 1/6 | 1/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | JS Saoura | 4 | 0 | 2 | 2 | 0 | 5 | 2 |
A question about USM Bel Abbes vs JS Saoura?
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