RED Star FC 93 vs Clermont Foot: result 2-1 and analysis
Ligue 2Regular Season - 13Kick-off on October 30, 2015 at 07:00 PM (UTC)Stade Pierre Brisson, Beauvais
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What was the result of RED Star FC 93 vs Clermont Foot?
RED Star FC 93 won 2-1 on October 30, 2015.
Goalscorers
- 53′J. JeanvierRED Star FC 93
- 59′N. SlitiRED Star FC 93
- 66′F. BoulayaClermont Foot
What is the recent form of both teams?
Over their last 15 matches in all competitions, RED Star FC 93 have 5 wins, 5 draws and 5 defeats; Clermont Foot have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2015 | Auxerre(away) | 1-0 | Ligue 2 |
| Oct 16, 2015 | Nancy(home) | 0-1 | Ligue 2 |
| Oct 2, 2015 | Nimes(away) | 1-1 | Ligue 2 |
| Sep 25, 2015 | Stade Brestois 29(home) | 1-0 | Ligue 2 |
| Sep 22, 2015 | Evian TG(away) | 1-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2015 | Lens(home) | 2-2 | Ligue 2 |
| Oct 16, 2015 | Metz(away) | 2-2 | Ligue 2 |
| Oct 2, 2015 | Bourg-en-bresse 01(home) | 3-2 | Ligue 2 |
| Sep 25, 2015 | Niort(away) | 1-1 | Ligue 2 |
| Sep 22, 2015 | Ajaccio(home) | 2-1 | Ligue 2 |
How many goals should we expect?
RED Star FC 93 score 1.1 and concede 1.3 goals per match over their last 15; Clermont Foot score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RED Star FC 93 | 1.1 | 1.3 | 5 | 7/15 | 4/15 |
| Clermont Foot | 1.5 | 1.2 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
RED Star FC 93 sit 6th in Ligue 2 (5 points from 3 matches) and Clermont Foot sit 16th (2 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | RED Star FC 93 | 3 | 1 | 2 | 0 | 2 | 1 | 5 |
| 16 | Clermont Foot | 3 | 0 | 2 | 1 | 2 | 4 | 2 |
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