Paris Saint Germain W vs Arras W: result 3-0 and analysis
Feminine Division 1Feminine Division 1 - Round 6Kick-off on October 13, 2013 at 01:00 PM (UTC)Campus PSG, Poissy
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What was the result of Paris Saint Germain W vs Arras W?
Paris Saint Germain W won 3-0 on October 13, 2013.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Paris Saint Germain W have 4 wins, 0 draws and 1 defeat; Arras W have 0, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2013 | Montpellier W(away) | 2-1 | Feminine Division 1 |
| Sep 29, 2013 | Lyon W(home) | 0-3 | Feminine Division 1 |
| Sep 14, 2013 | Soyaux W(away) | 3-2 | Feminine Division 1 |
| Sep 8, 2013 | Muret W(home) | 4-0 | Feminine Division 1 |
| Sep 1, 2013 | Yzeure Allier W(away) | 2-0 | Feminine Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2013 | Lyon W(away) | 2-3 | Feminine Division 1 |
| Sep 29, 2013 | Muret W(home) | 2-2 | Feminine Division 1 |
| Sep 15, 2013 | Juvisy Sur Orge W(away) | 0-2 | Feminine Division 1 |
| Sep 8, 2013 | Henin-Beaumont W(home) | 0-1 | Feminine Division 1 |
| Sep 1, 2013 | Guingamp W(away) | 2-3 | Feminine Division 1 |
How many goals should we expect?
Paris Saint Germain W score 2.2 and concede 1.2 goals per match over their last 5; Arras W score 1.2 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paris Saint Germain W | 2.2 | 1.2 | 2 | 2/5 | 4/5 |
| Arras W | 1.2 | 2.2 | 0 | 3/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Paris Saint Germain W | 5 | 4 | 0 | 1 | 8 | 5 | 12 |
A question about Paris Saint Germain W vs Arras W?
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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