Montpellier W vs AS Saint-Etienne W: result 3-1 and analysis
Feminine Division 1Feminine Division 1 - Round 1Kick-off on November 10, 2013 at 02:00 PM (UTC)Stade Bernard Gasset Terrain n°7, Montpellier
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What was the result of Montpellier W vs AS Saint-Etienne W?
Montpellier W won 3-1 on November 10, 2013.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Montpellier W have 5 wins, 0 draws and 2 defeats; AS Saint-Etienne W have 2, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2013 | Juvisy Sur Orge W(home) | 1-2 | Feminine Division 1 |
| Oct 20, 2013 | Henin-Beaumont W(away) | 3-0 | Feminine Division 1 |
| Oct 12, 2013 | Guingamp W(home) | 2-0 | Feminine Division 1 |
| Oct 5, 2013 | Paris Saint Germain W(home) | 1-2 | Feminine Division 1 |
| Sep 29, 2013 | Soyaux W(away) | 7-0 | Feminine Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2013 | Paris Saint Germain W(away) | 0-5 | Feminine Division 1 |
| Oct 19, 2013 | Arras W(away) | 0-1 | Feminine Division 1 |
| Oct 13, 2013 | Lyon W(home) | 1-5 | Feminine Division 1 |
| Oct 6, 2013 | Muret W(away) | 4-0 | Feminine Division 1 |
| Sep 15, 2013 | Henin-Beaumont W(away) | 3-0 | Feminine Division 1 |
How many goals should we expect?
Montpellier W score 2.9 and concede 0.6 goals per match over their last 7; AS Saint-Etienne W score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montpellier W | 2.9 | 0.6 | 5 | 2/7 | 5/7 |
| AS Saint-Etienne W | 1.5 | 2.0 | 2 | 2/6 | 4/6 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Montpellier W | 8 | 1 | 3 | 4 | 9 | 15 | 6 |
A question about Montpellier W vs AS Saint-Etienne 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