Toluca W vs Monterrey W: result 0-1 and analysis
Liga MX FemenilApertura - 10Kick-off on October 11, 2020 at 03:30 PM (UTC)
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What was the result of Toluca W vs Monterrey W?
Monterrey W won 0-1 on October 11, 2020.
Goalscorers
- 35′?Monterrey W
What is the recent form of both teams?
Over their last 9 matches in all competitions, Toluca W have 3 wins, 1 draw and 5 defeats; Monterrey W have 8, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2020 | Atlético San Luis W(home) | 1-0 | Liga MX Femenil |
| Sep 28, 2020 | Juárez W(away) | 2-3 | Liga MX Femenil |
| Sep 21, 2020 | Tijuana W(home) | 2-1 | Liga MX Femenil |
| Sep 17, 2020 | Mazatlán W(away) | 0-1 | Liga MX Femenil |
| Sep 14, 2020 | Pachuca W(home) | 2-1 | Liga MX Femenil |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2020 | Guadalajara W(home) | 2-4 | Liga MX Femenil |
| Sep 25, 2020 | Necaxa W(away) | 1-0 | Liga MX Femenil |
| Sep 22, 2020 | Mazatlán W(home) | 6-0 | Liga MX Femenil |
| Sep 17, 2020 | Juárez W(away) | 5-0 | Liga MX Femenil |
| Sep 14, 2020 | Atlético San Luis W(home) | 3-1 | Liga MX Femenil |
How many goals should we expect?
Toluca W score 1.0 and concede 1.6 goals per match over their last 9; Monterrey W score 3.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Toluca W | 1.0 | 1.6 | 2 | 5/9 | 5/9 |
| Monterrey W | 3.2 | 1.1 | 3 | 6/9 | 8/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Toluca W sit 4th in Liga MX Femenil (22 points from 10 matches) and Monterrey W sit 1st (30 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Monterrey W | 11 | 10 | 0 | 1 | 40 | 13 | 30 |
| 4 | Toluca W | 10 | 7 | 1 | 2 | 25 | 16 | 22 |
A question about Toluca W vs Monterrey 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