St Maur W vs Montpellier W: result 0-5 and analysis
Feminine Division 1Feminine Division 1 - Round 10Kick-off on November 22, 2015 at 01:30 PM (UTC)
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What was the result of St Maur W vs Montpellier W?
Montpellier W won 0-5 on November 22, 2015.
What is the recent form of both teams?
Over their last 9 matches in all competitions, St Maur W have 1 win, 2 draws and 6 defeats; Montpellier 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 |
|---|---|---|---|
| Nov 8, 2015 | AS Saint-Etienne W(away) | 2-2 | Feminine Division 1 |
| Nov 1, 2015 | Soyaux W(home) | 1-1 | Feminine Division 1 |
| Oct 18, 2015 | Paris Saint Germain W(away) | 0-7 | Feminine Division 1 |
| Oct 11, 2015 | Rodez W(away) | 2-5 | Feminine Division 1 |
| Oct 4, 2015 | Guingamp W(home) | 1-3 | Feminine Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2015 | Soyaux W(away) | 6-0 | Feminine Division 1 |
| Nov 1, 2015 | Rodez W(home) | 4-0 | Feminine Division 1 |
| Oct 18, 2015 | Juvisy Sur Orge W(away) | 2-1 | Feminine Division 1 |
| Oct 10, 2015 | Asptt Albi W(home) | 3-0 | Feminine Division 1 |
| Oct 3, 2015 | La Roche/Yon W(away) | 2-0 | Feminine Division 1 |
How many goals should we expect?
St Maur W score 1.2 and concede 3.6 goals per match over their last 9; Montpellier W score 3.3 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| St Maur W | 1.2 | 3.6 | 0 | 6/9 | 7/9 |
| Montpellier W | 3.3 | 0.3 | 11 | 4/15 | 10/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Montpellier W | 6 | 1 | 3 | 2 | 7 | 5 | 6 |
A question about St Maur W vs Montpellier 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