JSM Skikda vs AS AIN Mlila: result 2-0 and analysis
Ligue 2Regular Season - 8Kick-off on October 27, 2017 at 02:00 PM (UTC)Stade du 20 Août 1955, Skikda
Full time
What was the result of JSM Skikda vs AS AIN Mlila?
JSM Skikda won 2-0 on October 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JSM Skikda have 8 wins, 3 draws and 4 defeats; AS AIN Mlila have 4, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2017 | JSM Bejaia(away) | 1-2 | Ligue 2 |
| Oct 13, 2017 | AIN Fakroun(home) | 4-0 | Ligue 2 |
| Sep 29, 2017 | RC Relizane(away) | 1-2 | Ligue 2 |
| Sep 22, 2017 | WA Tlemcen(home) | 1-0 | Ligue 2 |
| Sep 15, 2017 | GC Mascara(away) | 2-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2017 | CA Batna(home) | 2-0 | Ligue 2 |
| Oct 13, 2017 | ASO Chlef(away) | 0-1 | Ligue 2 |
| Sep 29, 2017 | RC Kouba(away) | 2-2 | Ligue 2 |
| Sep 22, 2017 | JSM Bejaia(home) | 1-0 | Ligue 2 |
| Sep 15, 2017 | AIN Fakroun(away) | 0-0 | Ligue 2 |
How many goals should we expect?
JSM Skikda score 1.7 and concede 0.9 goals per match over their last 15; AS AIN Mlila score 1.1 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JSM Skikda | 1.7 | 0.9 | 4 | 9/15 | 9/15 |
| AS AIN Mlila | 1.1 | 0.4 | 5 | 1/7 | 1/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | JSM Skikda | 7 | 4 | 0 | 3 | 9 | 7 | 12 |
A question about JSM Skikda vs AS AIN Mlila?
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