Muret W vs Montpellier W: result 0-6 and analysis
Feminine Division 1Feminine Division 1 - Round 9Kick-off on November 17, 2013 at 01:30 PM (UTC)
Full time
What was the result of Muret W vs Montpellier W?
Montpellier W won 0-6 on November 17, 2013.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Muret W have 0 wins, 1 draw and 7 defeats; Montpellier W have 6, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2013 | Soyaux W(away) | 1-4 | Feminine Division 1 |
| Oct 20, 2013 | Yzeure Allier W(home) | 0-3 | Feminine Division 1 |
| Oct 13, 2013 | Rodez W(away) | 0-2 | Feminine Division 1 |
| Oct 6, 2013 | AS Saint-Etienne W(home) | 0-4 | Feminine Division 1 |
| Sep 29, 2013 | Arras W(away) | 2-2 | Feminine Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2013 | AS Saint-Etienne W(home) | 3-1 | Feminine Division 1 |
| 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 |
How many goals should we expect?
Muret W score 0.5 and concede 4.1 goals per match over their last 8; Montpellier W score 2.9 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Muret W | 0.5 | 4.1 | 0 | 3/8 | 7/8 |
| Montpellier W | 2.9 | 0.6 | 5 | 3/8 | 6/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Montpellier W | 5 | 1 | 3 | 1 | 7 | 4 | 6 |
A question about Muret W vs Montpellier 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