Sevilla W vs Santa Teresa: result 1-2 and analysis
Primera División FemeninaPrimera Division Women - Round 8Kick-off on November 5, 2017 at 10:00 AM (UTC)Estadio Jesús Navas, Sevilla
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What was the result of Sevilla W vs Santa Teresa?
Santa Teresa won 1-2 on November 5, 2017.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Sevilla W have 2 wins, 3 draws and 2 defeats; Santa Teresa have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Real Sociedad W(away) | 1-0 | Primera División Femenina |
| Oct 15, 2017 | Fundacion Albacete W(home) | 3-3 | Primera División Femenina |
| Oct 7, 2017 | Zaragoza W(away) | 1-0 | Primera División Femenina |
| Oct 1, 2017 | Levante W(home) | 5-5 | Primera División Femenina |
| Sep 24, 2017 | Rayo Vallecano W(away) | 1-1 | Primera División Femenina |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Real Betis W(home) | 1-2 | Primera División Femenina |
| Oct 15, 2017 | Granad. Tenerife W(away) | 1-5 | Primera División Femenina |
| Oct 8, 2017 | Madrid CFF W(home) | 1-1 | Primera División Femenina |
| Sep 30, 2017 | Barcelona W(away) | 0-10 | Primera División Femenina |
| Sep 23, 2017 | Atletico Madrid W(home) | 0-3 | Primera División Femenina |
How many goals should we expect?
Sevilla W score 1.9 and concede 2.0 goals per match over their last 7; Santa Teresa score 0.9 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sevilla W | 1.9 | 2.0 | 2 | 5/7 | 4/7 |
| Santa Teresa | 0.9 | 2.9 | 1 | 9/15 | 11/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Sevilla W | 10 | 2 | 4 | 4 | 11 | 16 | 10 |
A question about Sevilla W vs Santa Teresa?
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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