USM Bel Abbes vs Amal BOU Saada: result 1-0 and analysis
Ligue 2Regular Season - 6Kick-off on September 28, 2015 at 05:00 PM (UTC)Stade du 24 février 1956, Sidi Bel Abbès
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What was the result of USM Bel Abbes vs Amal BOU Saada?
USM Bel Abbes won 1-0 on September 28, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, USM Bel Abbes have 6 wins, 3 draws and 6 defeats; Amal BOU Saada 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 |
|---|---|---|---|
| Sep 19, 2015 | El Eulma(away) | 1-0 | Ligue 2 |
| Sep 11, 2015 | AIN Fakroun(home) | 1-0 | Ligue 2 |
| Aug 29, 2015 | JSM Skikda(away) | 1-2 | Ligue 2 |
| Aug 21, 2015 | US Chaouia(home) | 1-0 | Ligue 2 |
| Aug 14, 2015 | Paradou AC(away) | 0-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2015 | CA Batna(home) | 2-1 | Ligue 2 |
| Sep 11, 2015 | JSM Bejaia(away) | 1-1 | Ligue 2 |
| Aug 29, 2015 | ASO Chlef(home) | 0-0 | Ligue 2 |
| Aug 21, 2015 | Khroub(away) | 1-1 | Ligue 2 |
| Aug 14, 2015 | Bordj BOU Arreridj(home) | 1-0 | Ligue 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 USM Bel Abbes win, 1 draw, 0 Amal BOU Saada wins.
| Date | Score | Competition |
|---|---|---|
| Feb 14, 2014 | USM Bel Abbes 3-2 Amal BOU Saada | Ligue 2 |
| Sep 13, 2013 | Amal BOU Saada 0-0 USM Bel Abbes | Ligue 2 |
Last archived meeting: USM Bel Abbes vs Amal BOU Saada on Feb 14, 2014
How many goals should we expect?
USM Bel Abbes score 0.7 and concede 0.7 goals per match over their last 15; Amal BOU Saada score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USM Bel Abbes | 0.7 | 0.7 | 8 | 3/15 | 3/15 |
| Amal BOU Saada | 1.2 | 1.3 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about USM Bel Abbes vs Amal BOU Saada?
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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