PSG II vs Moulins-Yzeure Foot 03: result 1-2 and analysis
National 2 - Group BRegular Season - 11Kick-off on November 18, 2017 at 03:00 PM (UTC)Stade Municipal Georges Lefèvre, Saint-Germain-en-Laye
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What was the result of PSG II vs Moulins-Yzeure Foot 03?
Moulins-Yzeure Foot 03 won 1-2 on November 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSG II have 5 wins, 1 draws and 9 defeats; Moulins-Yzeure Foot 03 have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | Raon l'Etape(away) | 3-2 | National 2 - Group B |
| Oct 28, 2017 | Belfort(home) | 3-1 | National 2 - Group B |
| Oct 14, 2017 | Villefranche(away) | 2-3 | National 2 - Group B |
| Sep 30, 2017 | Le Puy Foot(away) | 1-2 | National 2 - Group B |
| Sep 16, 2017 | Montceau(home) | 4-1 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2017 | Clermont Foot(home) | 1-0 | Coupe de France |
| Nov 4, 2017 | Le Puy Foot(home) | 1-1 | National 2 - Group B |
| Oct 28, 2017 | Montceau(away) | 0-0 | National 2 - Group B |
| Oct 14, 2017 | Jura Sud Foot(home) | 3-2 | National 2 - Group B |
| Sep 30, 2017 | Chasselay MDA(away) | 1-1 | National 2 - Group B |
What does the head-to-head say?
Across the last 1 meetings: 0 PSG II win(s), 1 draw(s), 0 Moulins-Yzeure Foot 03 win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2012 | Moulins-Yzeure Foot 03 1-1 PSG II | National 2 - Group B |
Last archived meeting: Moulins-Yzeure Foot 03 vs PSG II on Aug 25, 2012
How many goals should we expect?
PSG II score 1.5 and concede 1.7 goals per match over their last 15; Moulins-Yzeure Foot 03 score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSG II | 1.5 | 1.7 | 2 | 8/15 | 10/15 |
| Moulins-Yzeure Foot 03 | 1.1 | 1.4 | 4 | 8/15 | 5/15 |
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