Chabab Atl. Khenifra vs Kawkab Marrakech: result 3-0 and analysis
Botola ProRegular Season - 13Kick-off on December 17, 2016 at 03:00 PM (UTC)Stade Municipal, Khénifra
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What was the result of Chabab Atl. Khenifra vs Kawkab Marrakech?
Chabab Atl. Khenifra won 3-0 on December 17, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Chabab Atl. Khenifra have 3 wins, 4 draws and 5 defeats; Kawkab Marrakech have 3, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2016 | Difaa EL Jadida(away) | 1-2 | Botola Pro |
| Dec 2, 2016 | FUS Rabat(home) | 1-3 | Botola Pro |
| Nov 27, 2016 | FAR Rabat(away) | 0-1 | Botola Pro |
| Nov 23, 2016 | Olympique Safi(home) | 1-0 | Botola Pro |
| Nov 3, 2016 | Chabab RIF Hoceima(away) | 0-1 | Botola Pro |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2016 | FUS Rabat(away) | 2-3 | Botola Pro |
| Dec 4, 2016 | Olympique Safi(home) | 0-1 | Botola Pro |
| Nov 25, 2016 | Hassania Agadir(away) | 0-1 | Botola Pro |
| Nov 19, 2016 | Ittihad Tanger(home) | 2-1 | Botola Pro |
| Nov 3, 2016 | Raja Casablanca(away) | 1-2 | Botola Pro |
How many goals should we expect?
Chabab Atl. Khenifra score 0.7 and concede 1.0 goals per match over their last 12; Kawkab Marrakech score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chabab Atl. Khenifra | 0.7 | 1.0 | 5 | 5/12 | 4/12 |
| Kawkab Marrakech | 1.0 | 1.4 | 2 | 7/12 | 7/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Kawkab Marrakech | 3 | 2 | 0 | 1 | 5 | 4 | 6 |
A question about Chabab Atl. Khenifra vs Kawkab Marrakech?
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