Wydad AC vs Petro de Luanda: result 4-1 and analysis
CAF Champions LeagueGroup Stage - 3Kick-off on December 28, 2019 at 07:00 PM (UTC)Stade Mohamed V, Casablanca
Full time
What was the result of Wydad AC vs Petro de Luanda?
Wydad AC won 4-1 on December 28, 2019.
Goalscorers
- 29′A. El KaabiWydad AC
- 68′TonyPetro de Luanda
- 79′A. El KaabiWydad AC
- 84′105458Wydad AC (o.g.)
- 90′A. El KaabiWydad AC (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Wydad AC have 8 wins, 5 draws and 2 defeats; Petro de Luanda have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 22, 2019 | Raja Casablanca(away) | 0-1 | Botola Pro |
| Dec 18, 2019 | Raja Beni Mellal(away) | 2-1 | Botola Pro |
| Dec 15, 2019 | FAR Rabat(home) | 1-0 | Botola Pro |
| Dec 11, 2019 | Olympique Khouribga(away) | 4-0 | Botola Pro |
| Dec 7, 2019 | Mamelodi Sundowns(home) | 0-0 | CAF Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 21, 2019 | Sporting de Cabinda(home) | 2-0 | Girabola |
| Dec 18, 2019 | Académica do Lobito(away) | 1-0 | Girabola |
| Dec 14, 2019 | Recreativo do Libolo(home) | 3-0 | Girabola |
| Dec 7, 2019 | USM Alger(home) | 1-1 | CAF Champions League |
| Nov 30, 2019 | Mamelodi Sundowns(away) | 0-3 | CAF Champions League |
How many goals should we expect?
Wydad AC score 1.9 and concede 0.8 goals per match over their last 15; Petro de Luanda score 1.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Wydad AC | 1.9 | 0.8 | 6 | 7/15 | 6/15 |
| Petro de Luanda | 1.8 | 0.5 | 9 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Petro de Luanda | 6 | 1 | 3 | 2 | 3 | 6 | 6 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy