Écija vs Sevilla III: result 0-3 and analysis
Tercera División RFEF - Group 10Group 10 - 19Kick-off on January 4, 2020 at 11:00 PM (UTC)Estadio Municipal San Pablo, Écija
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What was the result of Écija vs Sevilla III?
Sevilla III won 0-3 on January 4, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Écija have 0 wins, 0 draws and 15 defeats; Sevilla III have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 21, 2019 | Conil(away) | 0-3 | Tercera División RFEF - Group 10 |
| Dec 14, 2019 | Ceuta(home) | 0-3 | Tercera División RFEF - Group 10 |
| Nov 30, 2019 | Real Betis II(away) | 0-3 | Tercera División RFEF - Group 10 |
| Nov 23, 2019 | Córdoba II(home) | 0-3 | Tercera División RFEF - Group 10 |
| Nov 16, 2019 | Lebrijana(away) | 0-3 | Tercera División RFEF - Group 10 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 22, 2019 | Rota(home) | 2-0 | Tercera División RFEF - Group 10 |
| Dec 14, 2019 | Antoniano(away) | 1-2 | Tercera División RFEF - Group 10 |
| Dec 1, 2019 | Xerez Deportivo(home) | 1-0 | Tercera División RFEF - Group 10 |
| Nov 24, 2019 | Coria CF(away) | 1-1 | Tercera División RFEF - Group 10 |
| Nov 17, 2019 | Ciudad de Lucena(home) | 1-0 | Tercera División RFEF - Group 10 |
How many goals should we expect?
Écija score 0.0 and concede 3.0 goals per match over their last 15; Sevilla III score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Écija | 0.0 | 3.0 | 0 | 0/15 | 15/15 |
| Sevilla III | 0.9 | 0.9 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Sevilla III | 7 | 1 | 2 | 4 | 7 | 14 | 5 |
A question about Écija vs Sevilla III?
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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