Oued Sly vs SKAF Khémis Mélina: result 1-0 and analysis
Ligue 2West - 15Kick-off on May 8, 2021 at 02:00 PM (UTC)Stade Mohamed Boumezrag, Chlef
Full time
What was the result of Oued Sly vs SKAF Khémis Mélina?
Oued Sly won 1-0 on May 8, 2021.
Goalscorers
- 30′?Oued Sly
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oued Sly have 9 wins, 4 draws and 2 defeats; SKAF Khémis Mélina have 6, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2021 | IRB El Kerma(away) | 1-0 | Ligue 2 |
| Apr 24, 2021 | MC Saida(home) | 2-0 | Ligue 2 |
| Apr 17, 2021 | Arzew(away) | 2-2 | Ligue 2 |
| Apr 8, 2021 | Témouchent(home) | 0-0 | Ligue 2 |
| Apr 3, 2021 | CRB Ain Ouessara(away) | 0-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2021 | Témouchent(home) | 0-1 | Ligue 2 |
| Apr 24, 2021 | CRB Ain Ouessara(away) | 1-2 | Ligue 2 |
| Apr 17, 2021 | SC Aïn Defla(home) | 3-1 | Ligue 2 |
| Apr 8, 2021 | ASM Oran(home) | 0-2 | Ligue 2 |
| Apr 3, 2021 | Remchi(away) | 0-1 | Ligue 2 |
What does the head-to-head say?
In the last meeting: 1 Oued Sly win, 0 draws, 0 SKAF Khémis Mélina wins.
| Date | Score | Competition |
|---|---|---|
| Mar 6, 2021 | SKAF Khémis Mélina 0-2 Oued Sly | Ligue 2 |
Last archived meeting: SKAF Khémis Mélina vs Oued Sly on Mar 6, 2021
How many goals should we expect?
Oued Sly score 1.7 and concede 0.7 goals per match over their last 15; SKAF Khémis Mélina score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oued Sly | 1.7 | 0.7 | 8 | 7/15 | 8/15 |
| SKAF Khémis Mélina | 0.9 | 0.9 | 6 | 4/14 | 4/14 |
Over the last 15 matches in all competitions.
A question about Oued Sly vs SKAF Khémis Mélina?
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