US Biskra vs MC Saida: result 1-1 and analysis
Ligue 2Regular Season - 26Kick-off on March 24, 2017 at 02:00 PM (UTC)Stade 18 Février, Biskra
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What was the result of US Biskra vs MC Saida?
US Biskra and MC Saida drew 1-1 on March 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, US Biskra have 7 wins, 3 draws and 5 defeats; MC Saida have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2017 | GC Mascara(away) | 1-1 | Ligue 2 |
| Mar 10, 2017 | RC Arba(home) | 1-0 | Ligue 2 |
| Mar 3, 2017 | Blida(away) | 0-1 | Ligue 2 |
| Feb 24, 2017 | Paradou AC(home) | 0-1 | Ligue 2 |
| Feb 17, 2017 | El Eulma(away) | 1-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2017 | JSM Bejaia(home) | 3-1 | Ligue 2 |
| Mar 10, 2017 | GC Mascara(away) | 1-1 | Ligue 2 |
| Mar 3, 2017 | Bordj BOU Arreridj(home) | 1-1 | Ligue 2 |
| Feb 24, 2017 | RC Arba(away) | 0-0 | Ligue 2 |
| Feb 17, 2017 | ASO Chlef(home) | 1-0 | Ligue 2 |
What does the head-to-head say?
In the last meeting: 0 US Biskra wins, 0 draws, 1 MC Saida win.
| Date | Score | Competition |
|---|---|---|
| Dec 2, 2016 | MC Saida 1-0 US Biskra | Ligue 2 |
How many goals should we expect?
US Biskra score 1.0 and concede 0.7 goals per match over their last 15; MC Saida score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| US Biskra | 1.0 | 0.7 | 6 | 4/15 | 3/15 |
| MC Saida | 1.0 | 0.9 | 5 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | MC Saida | 4 | 3 | 1 | 0 | 5 | 2 | 10 |
A question about US Biskra vs MC Saida?
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