Montceau vs PSG II: result 0-1 and analysis
National 2 - Group BRegular Season - 20Kick-off on February 17, 2018 at 05:00 PM (UTC)Stade des Alouettes, Montceau-les-Mines
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What was the result of Montceau vs PSG II?
PSG II won 0-1 on February 17, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montceau have 5 wins, 4 draws and 6 defeats; PSG II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2018 | Villefranche(home) | 1-0 | National 2 - Group B |
| Jan 13, 2018 | Chasselay MDA(away) | 0-3 | National 2 - Group B |
| Dec 20, 2017 | Epinal(home) | 1-1 | National 2 - Group B |
| Dec 16, 2017 | Saint-Louis Neuweg(away) | 1-3 | National 2 - Group B |
| Dec 9, 2017 | Saint-Priest(home) | 1-2 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2018 | Chasselay MDA(away) | 0-2 | National 2 - Group B |
| Dec 20, 2017 | Saint-Priest(home) | 2-0 | National 2 - Group B |
| Dec 15, 2017 | Annecy(away) | 1-1 | National 2 - Group B |
| Dec 9, 2017 | Olympique Lyonnais II(home) | 3-1 | National 2 - Group B |
| Nov 25, 2017 | Schiltigheim(away) | 1-1 | National 2 - Group B |
What does the head-to-head say?
Across the last 2 meetings: 0 Montceau wins, 0 draws, 2 PSG II wins.
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2017 | PSG II 4-1 Montceau | National 2 - Group B |
| Dec 22, 2012 | PSG II 2-1 Montceau | National 2 - Group B |
How many goals should we expect?
Montceau score 1.0 and concede 1.4 goals per match over their last 15; PSG II score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montceau | 1.0 | 1.4 | 5 | 7/15 | 6/15 |
| PSG II | 1.8 | 1.5 | 2 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Montceau vs PSG II?
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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