Montpellier II vs Nice II: result 3-2 and analysis
National 2 - Group DRegular Season - 21Kick-off on March 4, 2017 at 05:00 PM (UTC)Stade Bernard Gasset Terrain n°7, Montpellier
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What was the result of Montpellier II vs Nice II?
Montpellier II won 3-2 on March 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montpellier II have 3 wins, 4 draws and 8 defeats; Nice 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 18, 2017 | Sète(away) | 0-1 | National 2 - Group D |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2017 | Le Pontet US(home) | 1-0 | National 2 - Group D |
| Feb 11, 2017 | Stade Montois(away) | 2-1 | National 2 - Group D |
| Feb 4, 2017 | Rodez(home) | 1-2 | National 2 - Group D |
| Jan 21, 2017 | Paulhan Pézenas(away) | 1-1 | National 2 - Group D |
| Jan 14, 2017 | Hyères(home) | 0-1 | National 2 - Group D |
What does the head-to-head say?
Across the last 3 meetings: 0 Montpellier II win(s), 1 draw(s), 2 Nice II win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2016 | Nice II 1-0 Montpellier II | National 2 - Group D |
| Apr 11, 2015 | Nice II 2-2 Montpellier II | National 2 - Group C |
| Nov 23, 2014 | Montpellier II 0-2 Nice II | National 2 - Group C |
Last archived meeting: Nice II vs Montpellier II on Oct 1, 2016
How many goals should we expect?
Montpellier II score 0.6 and concede 1.5 goals per match over their last 15; Nice II score 0.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montpellier II | 0.6 | 1.5 | 3 | 5/15 | 6/15 |
| Nice II | 0.8 | 1.7 | 4 | 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