UTS Rabat vs Maghreb Fès: result 1-2 and analysis
Botola ProRegular Season - 11Kick-off on January 7, 2023 at 03:00 PM (UTC)Stade Prince Moulay El Hassan, Rabat
Full time
What was the result of UTS Rabat vs Maghreb Fès?
Maghreb Fès won 1-2 on January 7, 2023.
Goalscorers
- 18′M. El BadouiMaghreb Fès
- 56′M. El BadouiMaghreb Fès
- 90′A. ZouhzouhUTS Rabat (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, UTS Rabat have 7 wins, 2 draws and 6 defeats; Maghreb Fès have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 4, 2023 | FUS Rabat(away) | 0-3 | Botola Pro |
| Dec 28, 2022 | Riadi Salmi(home) | 2-1 | Botola Pro |
| Nov 6, 2022 | Wydad AC(away) | 0-0 | Botola Pro |
| Oct 26, 2022 | Olympique Safi(home) | 2-0 | Botola Pro |
| Oct 16, 2022 | Hassania Agadir(away) | 2-1 | Botola Pro |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 4, 2023 | Renaissance Berkane(home) | 0-0 | Botola Pro |
| Dec 27, 2022 | Raja Casablanca(away) | 0-0 | Botola Pro |
| Nov 5, 2022 | Mouloudia Oujda(home) | 2-1 | Botola Pro |
| Oct 28, 2022 | Ittihad Tanger(away) | 3-2 | Botola Pro |
| Oct 14, 2022 | Olympique Khouribga(home) | 2-0 | Botola Pro |
How many goals should we expect?
UTS Rabat score 1.0 and concede 1.2 goals per match over their last 15; Maghreb Fès score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UTS Rabat | 1.0 | 1.2 | 4 | 6/15 | 7/15 |
| Maghreb Fès | 1.0 | 0.7 | 8 | 6/15 | 5/15 |
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 Maghreb Fès sit 2nd (49 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Maghreb Fès | 25 | 13 | 10 | 2 | 34 | 14 | 49 |
| 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