UTS Rabat vs Raja Casablanca: result 1-0 and analysis
Botola ProRegular Season - 2Kick-off on September 9, 2022 at 05:00 PM (UTC)Stade Prince Moulay El Hassan, Rabat
Full time
What was the result of UTS Rabat vs Raja Casablanca?
UTS Rabat won 1-0 on September 9, 2022.
Goalscorers
- 16′T. El KhalejUTS Rabat
What is the recent form of both teams?
Over their last 15 matches in all competitions, UTS Rabat have 8 wins, 3 draws and 4 defeats; Raja Casablanca have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2022 | Difaa EL Jadida(away) | 0-1 | Botola Pro |
| May 29, 2022 | FUS Rabat(away) | 1-3 | Cup |
| May 26, 2022 | Raja Beni Mellal(home) | 3-1 | Botola 2 |
| May 22, 2022 | Wydad Fès(away) | 0-3 | Botola 2 |
| May 15, 2022 | Ittihad Khemisset(home) | 2-1 | Botola 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2022 | Olympique Safi(home) | 2-2 | Botola Pro |
| Jul 7, 2022 | Wydad AC(away) | 0-2 | Cup |
| Jul 2, 2022 | Maghreb Fès(away) | 0-0 | Botola Pro |
| Jun 29, 2022 | FAR Rabat(home) | 2-1 | Botola Pro |
| Jun 25, 2022 | Hassania Agadir(away) | 3-2 | Botola Pro |
How many goals should we expect?
UTS Rabat score 1.5 and concede 1.2 goals per match over their last 15; Raja Casablanca score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UTS Rabat | 1.5 | 1.2 | 3 | 9/15 | 8/15 |
| Raja Casablanca | 1.4 | 1.1 | 6 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
UTS Rabat sit 13th in Botola Pro (24 points from 25 matches) and Raja Casablanca sit 4th (46 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Raja Casablanca | 25 | 13 | 7 | 5 | 31 | 15 | 46 |
| 13 | UTS Rabat | 25 | 4 | 12 | 9 | 26 | 34 | 24 |
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