Soyaux W vs Marseille W: result 2-1 and analysis
Feminine Division 1Feminine Division 1 - Round 4Kick-off on October 9, 2016 at 12:00 PM (UTC)
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What was the result of Soyaux W vs Marseille W?
Soyaux W won 2-1 on October 9, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Soyaux W have 4 wins, 3 draws and 8 defeats; Marseille W have 0, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Juvisy Sur Orge W(away) | 1-2 | Feminine Division 1 |
| Sep 25, 2016 | Rodez W(away) | 1-1 | Feminine Division 1 |
| Sep 11, 2016 | Lyon W(home) | 0-9 | Feminine Division 1 |
| May 21, 2016 | Nimes W(away) | 2-2 | Feminine Division 1 |
| May 8, 2016 | Lyon W(home) | 1-5 | Feminine Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Montpellier W(home) | 0-5 | Feminine Division 1 |
| Sep 25, 2016 | Paris Saint Germain W(away) | 0-1 | Feminine Division 1 |
| Sep 11, 2016 | Bordeaux W(away) | 1-1 | Feminine Division 1 |
How many goals should we expect?
Soyaux W score 1.3 and concede 2.7 goals per match over their last 15; Marseille W score 0.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Soyaux W | 1.3 | 2.7 | 3 | 8/15 | 11/15 |
| Marseille W | 0.3 | 2.3 | 0 | 1/3 | 1/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Marseille W | 7 | 3 | 3 | 1 | 9 | 11 | 12 |
A question about Soyaux W vs Marseille 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