Soyaux W vs St Maur W: result 2-0 and analysis
Feminine Division 1Feminine Division 1 - Round 19Kick-off on April 3, 2016 at 01:00 PM (UTC)
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What was the result of Soyaux W vs St Maur W?
Soyaux W won 2-0 on April 3, 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; St Maur W have 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2016 | Rodez W(home) | 0-2 | Feminine Division 1 |
| Mar 13, 2016 | Juvisy Sur Orge W(away) | 1-4 | Feminine Division 1 |
| Feb 21, 2016 | Asptt Albi W(home) | 3-0 | Feminine Division 1 |
| Feb 6, 2016 | La Roche/Yon W(away) | 3-2 | Feminine Division 1 |
| Jan 17, 2016 | AS Saint-Etienne W(home) | 1-2 | Feminine Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2016 | Paris Saint Germain W(home) | 1-3 | Feminine Division 1 |
| Mar 13, 2016 | Rodez W(home) | 0-4 | Feminine Division 1 |
| Feb 21, 2016 | Guingamp W(away) | 2-5 | Feminine Division 1 |
| Feb 7, 2016 | Juvisy Sur Orge W(home) | 0-1 | Feminine Division 1 |
| Jan 17, 2016 | Nimes W(away) | 2-3 | Feminine Division 1 |
What does the head-to-head say?
In the last meeting: 0 Soyaux W wins, 1 draw, 0 St Maur W wins.
| Date | Score | Competition |
|---|---|---|
| Nov 1, 2015 | St Maur W 1-1 Soyaux W | Feminine Division 1 |
How many goals should we expect?
Soyaux W score 1.3 and concede 2.3 goals per match over their last 15; St Maur W score 0.9 and concede 3.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Soyaux W | 1.3 | 2.3 | 3 | 8/15 | 10/15 |
| St Maur W | 0.9 | 3.7 | 0 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Soyaux W vs St Maur W?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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