US Biskra vs JSM Bejaia: result 3-0 and analysis
Ligue 2Regular Season - 18Kick-off on January 27, 2017 at 01:30 PM (UTC)Stade 18 Février, Biskra
Full time
What was the result of US Biskra vs JSM Bejaia?
US Biskra won 3-0 on January 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, US Biskra have 8 wins, 1 draw and 6 defeats; JSM Bejaia have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 20, 2017 | Bordj BOU Arreridj(away) | 0-2 | Ligue 2 |
| Jan 13, 2017 | ASO Chlef(home) | 1-0 | Ligue 2 |
| Dec 24, 2016 | Khroub(home) | 2-1 | Ligue 2 |
| Dec 20, 2016 | Amal BOU Saada(away) | 1-0 | Ligue 2 |
| Dec 10, 2016 | ASM Oran(home) | 0-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 20, 2017 | GC Mascara(home) | 0-1 | Ligue 2 |
| Jan 13, 2017 | RC Arba(away) | 2-1 | Ligue 2 |
| Dec 24, 2016 | Blida(away) | 0-0 | Ligue 2 |
| Dec 20, 2016 | Paradou AC(home) | 1-2 | Ligue 2 |
| Dec 10, 2016 | El Eulma(away) | 2-2 | Ligue 2 |
What does the head-to-head say?
In the last meeting: 0 US Biskra wins, 1 draw, 0 JSM Bejaia wins.
| Date | Score | Competition |
|---|---|---|
| Sep 23, 2016 | JSM Bejaia 1-1 US Biskra | Ligue 2 |
Last archived meeting: JSM Bejaia vs US Biskra on Sep 23, 2016
How many goals should we expect?
US Biskra score 0.8 and concede 0.9 goals per match over their last 15; JSM Bejaia score 1.1 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 | 8 | 4/15 | 4/15 |
| JSM Bejaia | 1.1 | 1.0 | 5 | 7/15 | 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 |
A question about US Biskra vs JSM Bejaia?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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