US Biskra vs Amal BOU Saada: result 1-0 and analysis
Ligue 2Regular Season - 3Kick-off on August 25, 2018 at 04:00 PM (UTC)Stade 18 Février, Biskra
Full time
What was the result of US Biskra vs Amal BOU Saada?
US Biskra won 1-0 on August 25, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, US Biskra have 4 wins, 4 draws and 7 defeats; Amal BOU Saada have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2018 | RC Kouba(away) | 0-0 | Ligue 2 |
| Aug 10, 2018 | USM Annaba(home) | 0-1 | Ligue 2 |
| May 19, 2018 | Usm El Harrach(home) | 2-0 | Ligue 1 |
| May 12, 2018 | USM Bel Abbes(away) | 0-0 | Ligue 1 |
| May 4, 2018 | Tadjenant(home) | 4-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2018 | NC Magra(away) | 2-0 | Ligue 2 |
| Aug 10, 2018 | RC Kouba(home) | 5-0 | Ligue 2 |
| May 15, 2018 | CA Batna(home) | 3-1 | Ligue 2 |
| May 11, 2018 | ASO Chlef(away) | 0-0 | Ligue 2 |
| May 5, 2018 | AS AIN Mlila(home) | 2-3 | Ligue 2 |
What does the head-to-head say?
Across the last 2 meetings: 2 US Biskra win(s), 0 draw(s), 0 Amal BOU Saada win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 29, 2017 | US Biskra 1-0 Amal BOU Saada | Ligue 2 |
| Dec 20, 2016 | Amal BOU Saada 0-1 US Biskra | Ligue 2 |
Last archived meeting: US Biskra vs Amal BOU Saada on Apr 29, 2017
How many goals should we expect?
US Biskra score 0.8 and concede 0.9 goals per match over their last 15; Amal BOU Saada score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| US Biskra | 0.8 | 0.9 | 7 | 3/15 | 4/15 |
| Amal BOU Saada | 1.4 | 1.0 | 7 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | US Biskra | 30 | 19 | 5 | 6 | 41 | 16 | 62 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy