Clermont II vs Montluçon: result 1-0 and analysis
National 3 - Group MGroup M - 6Kick-off on October 5, 2019 at 04:00 PM (UTC)Stade Gabriel Montpied (annexe 2), Clermont-Ferrand
Full time
What was the result of Clermont II vs Montluçon?
Clermont II won 1-0 on October 5, 2019.
Goalscorers
- 84′Aymeric KissyClermont II
What is the recent form of both teams?
Over their last 5 matches in all competitions, Clermont II have 1 wins, 2 draws and 2 defeats; Montluçon have 4, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Hauts Lyonnais(away) | 1-4 | National 3 - Group M |
| Sep 8, 2019 | Bourgoin-Jallieu(home) | 1-0 | National 3 - Group M |
| Aug 31, 2019 | Lyon Duchère II(away) | 1-4 | National 3 - Group M |
| Aug 24, 2019 | Thiers(home) | 1-1 | National 3 - Group M |
| Aug 17, 2019 | Aurillac Arpajon(home) | 0-0 | National 3 - Group M |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Saint-Flour(home) | 3-0 | National 3 - Group M |
| Sep 8, 2019 | Vaulx(away) | 0-1 | National 3 - Group M |
| Aug 31, 2019 | Le Puy Foot II(home) | 2-0 | National 3 - Group M |
| Aug 24, 2019 | Limonest(away) | 1-0 | National 3 - Group M |
| Aug 17, 2019 | Ain Sud(home) | 1-0 | National 3 - Group M |
How many goals should we expect?
Clermont II score 0.8 and concede 1.8 goals per match over their last 5; Montluçon score 1.2 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Clermont II | 0.8 | 1.8 | 2 | 3/5 | 2/5 |
| Montluçon | 1.2 | 0.3 | 4 | 0/6 | 1/6 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Clermont II sit 7th in National 3 - Group M (38 points from 25 matches) and Montluçon sit 14th (10 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Clermont II | 25 | 11 | 5 | 9 | 47 | 39 | 38 |
| 14 | Montluçon | 26 | 2 | 4 | 20 | 17 | 67 | 10 |
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