Atlas W vs Puebla W: result 3-0 and analysis
Liga MX FemenilApertura - 9Kick-off on October 3, 2020 at 03:00 PM (UTC)
Full time
What was the result of Atlas W vs Puebla W?
Atlas W won 3-0 on October 3, 2020.
Goalscorers
- 3′?Atlas W
- 50′?Atlas W
- 88′?Atlas W
What is the recent form of both teams?
Over their last 8 matches in all competitions, Atlas W have 5 wins, 2 draws and 1 defeat; Puebla W have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2020 | León W(away) | 5-1 | Liga MX Femenil |
| Sep 21, 2020 | América W(home) | 0-0 | Liga MX Femenil |
| Sep 17, 2020 | Necaxa W(away) | 3-0 | Liga MX Femenil |
| Sep 10, 2020 | Tijuana W(home) | 2-1 | Liga MX Femenil |
| Sep 8, 2020 | Santos Laguna W(away) | 3-0 | Liga MX Femenil |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2020 | Santos Laguna W(home) | 0-0 | Liga MX Femenil |
| Sep 22, 2020 | Pachuca W(away) | 1-3 | Liga MX Femenil |
| Sep 17, 2020 | León W(home) | 0-0 | Liga MX Femenil |
| Sep 12, 2020 | Pumas UNAM W(away) | 0-1 | Liga MX Femenil |
| Sep 6, 2020 | Toluca W(home) | 2-0 | Liga MX Femenil |
How many goals should we expect?
Atlas W score 2.6 and concede 1.3 goals per match over their last 8; Puebla W score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atlas W | 2.6 | 1.3 | 3 | 5/8 | 7/8 |
| Puebla W | 0.9 | 1.3 | 4 | 3/8 | 3/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Atlas W sit 13th in Liga MX Femenil (17 points from 14 matches) and Puebla W sit 17th (4 points from 14 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Atlas W | 14 | 4 | 5 | 5 | 14 | 28 | 17 |
| 17 | Puebla W | 14 | 1 | 1 | 12 | 19 | 48 | 4 |
A question about Atlas W vs Puebla 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