PSG II vs Granville: result 3-0 and analysis
National 2 - Group ARegular Season - 18Kick-off on February 4, 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 Granville?
PSG II won 3-0 on February 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSG II have 5 wins, 4 draws and 6 defeats; Granville have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 21, 2017 | Lorient II(away) | 1-1 | National 2 - Group A |
| Jan 14, 2017 | Vitré(home) | 3-0 | National 2 - Group A |
| Dec 16, 2016 | Trélissac(home) | 3-1 | National 2 - Group A |
| Dec 10, 2016 | Stade Plabennec(away) | 2-1 | National 2 - Group A |
| Dec 3, 2016 | Châteaubriant(away) | 0-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 21, 2017 | Chartres(home) | 3-1 | National 2 - Group A |
| Jan 14, 2017 | St Malo US(away) | 1-0 | National 2 - Group A |
| Jan 8, 2017 | Angers(home) | 1-2 | Coupe de France |
| Dec 21, 2016 | Nantes II(home) | 2-1 | National 2 - Group A |
| Dec 17, 2016 | Vendée Fontenay(away) | 2-5 | National 2 - Group A |
What does the head-to-head say?
Across the last 1 meetings: 0 PSG II win(s), 0 draw(s), 1 Granville win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2016 | Granville 1-0 PSG II | National 2 - Group A |
How many goals should we expect?
PSG II score 1.1 and concede 1.0 goals per match over their last 15; Granville score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSG II | 1.1 | 1.0 | 4 | 7/15 | 6/15 |
| Granville | 1.6 | 1.1 | 5 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Granville | 30 | 6 | 11 | 13 | 32 | 41 | 29 |
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