Sète vs Montpellier II: result 1-0 and analysis
National 2 - Group DRegular Season - 20Kick-off on February 18, 2017 at 05:00 PM (UTC)Stade Louis-Michel, Sète
Full time
What was the result of Sète vs Montpellier II?
Sète won 1-0 on February 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sète have 5 wins, 6 draws and 4 defeats; Montpellier II have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2017 | Le Pontet US(away) | 0-0 | National 2 - Group D |
| Jan 28, 2017 | Rodez(away) | 0-0 | National 2 - Group D |
| Jan 14, 2017 | Paulhan Pézenas(home) | 2-1 | National 2 - Group D |
| Dec 21, 2016 | Martigues(away) | 0-0 | National 2 - Group D |
| Dec 17, 2016 | Monaco II(home) | 3-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2017 | Tarbes(home) | 1-2 | National 2 - Group D |
| Feb 4, 2017 | Colomiers(away) | 0-3 | National 2 - Group D |
| Jan 21, 2017 | Toulon(home) | 1-0 | National 2 - Group D |
| Jan 14, 2017 | Marignane(away) | 2-1 | National 2 - Group D |
| Dec 21, 2016 | Le Pontet US(away) | 1-1 | National 2 - Group D |
What does the head-to-head say?
Across the last 3 meetings: 1 Sète win(s), 1 draw(s), 1 Montpellier II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Montpellier II 0-4 Sète | National 2 - Group D |
| Mar 28, 2015 | Sète 1-3 Montpellier II | National 2 - Group C |
| Nov 1, 2014 | Montpellier II 0-0 Sète | National 2 - Group C |
Last archived meeting: Montpellier II vs Sète on Sep 17, 2016
How many goals should we expect?
Sète score 1.2 and concede 0.9 goals per match over their last 15; Montpellier II score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sète | 1.2 | 0.9 | 5 | 7/15 | 6/15 |
| Montpellier II | 0.7 | 1.5 | 3 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
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