Issy W vs Paris Saint Germain W: result 0-2 and analysis
Feminine Division 1Feminine Division 1 - Round 6Kick-off on October 12, 2014 at 01:00 PM (UTC)
Full time
What was the result of Issy W vs Paris Saint Germain W?
Paris Saint Germain W won 0-2 on October 12, 2014.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Issy W have 0 wins, 1 draw and 4 defeats; Paris Saint Germain W have 13, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2014 | Lyon W(away) | 0-6 | Feminine Division 1 |
| Sep 28, 2014 | Asptt Albi W(home) | 0-2 | Feminine Division 1 |
| Sep 21, 2014 | Soyaux W(home) | 0-0 | Feminine Division 1 |
| Sep 7, 2014 | Juvisy Sur Orge W(away) | 1-3 | Feminine Division 1 |
| Aug 31, 2014 | Montpellier W(home) | 1-3 | Feminine Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2014 | Juvisy Sur Orge W(home) | 2-0 | Feminine Division 1 |
| Sep 27, 2014 | Montpellier W(away) | 1-0 | Feminine Division 1 |
| Sep 21, 2014 | Metz W(home) | 7-0 | Feminine Division 1 |
| Sep 6, 2014 | Guingamp W(away) | 3-0 | Feminine Division 1 |
| Aug 30, 2014 | Arras W(home) | 5-0 | Feminine Division 1 |
How many goals should we expect?
Issy W score 0.4 and concede 2.8 goals per match over their last 5; Paris Saint Germain W score 3.8 and concede 0.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Issy W | 0.4 | 2.8 | 1 | 2/5 | 3/5 |
| Paris Saint Germain W | 3.8 | 0.2 | 13 | 2/15 | 10/15 |
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 Issy W vs Paris Saint Germain 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