Montpellier II vs Stade Montois: result 0-0 and analysis
National 2 - Group DRegular Season - 14Kick-off on December 17, 2016 at 05:00 PM (UTC)Stade Bernard Gasset Terrain n°7, Montpellier
Full time
What was the result of Montpellier II vs Stade Montois?
Montpellier II and Stade Montois drew 0-0 on December 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montpellier II have 4 wins, 3 draws and 8 defeats; Stade Montois have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2016 | Rodez(away) | 0-4 | National 2 - Group D |
| Nov 26, 2016 | Paulhan Pézenas(home) | 1-1 | National 2 - Group D |
| Nov 19, 2016 | Hyères(away) | 0-1 | National 2 - Group D |
| Nov 5, 2016 | Martigues(home) | 3-1 | National 2 - Group D |
| Oct 29, 2016 | Monaco II(away) | 0-2 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2016 | Le Pontet US(home) | 1-1 | National 2 - Group D |
| Nov 26, 2016 | Fréjus St-Raphaël(away) | 0-0 | National 2 - Group D |
| Nov 19, 2016 | Rodez(away) | 0-2 | National 2 - Group D |
| Nov 11, 2016 | Niort(home) | 1-2 | Coupe de France |
| Nov 5, 2016 | Paulhan Pézenas(home) | 3-2 | National 2 - Group D |
How many goals should we expect?
Montpellier II score 0.9 and concede 1.7 goals per match over their last 15; Stade Montois score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montpellier II | 0.9 | 1.7 | 2 | 6/15 | 7/15 |
| Stade Montois | 1.2 | 1.1 | 5 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Montpellier II vs Stade Montois?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy