Écija vs Córdoba II: result 0-3 and analysis
Tercera División RFEF - Group 10Group 10 · Matchday 15Kick-off on November 23, 2019 at 11:00 PM (UTC)Estadio Municipal San Pablo, Écija
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What was the result of Écija vs Córdoba II?
Córdoba II won 0-3 on November 23, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Écija have 0 wins, 0 draws and 14 defeats; Córdoba II have 1, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Lebrijana(away) | 0-3 | Tercera División RFEF - Group 10 |
| Nov 9, 2019 | Xerez(home) | 0-3 | Tercera División RFEF - Group 10 |
| Nov 2, 2019 | Utrera(away) | 0-3 | Tercera División RFEF - Group 10 |
| Oct 31, 2019 | Los Barrios(home) | 0-3 | Tercera División RFEF - Group 10 |
| Oct 26, 2019 | San Roque Lepe(away) | 0-3 | Tercera División RFEF - Group 10 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Rota(home) | 1-2 | Tercera División RFEF - Group 10 |
| Nov 10, 2019 | Antoniano(away) | 0-4 | Tercera División RFEF - Group 10 |
| Nov 3, 2019 | Xerez Deportivo(home) | 0-1 | Tercera División RFEF - Group 10 |
| Oct 31, 2019 | Coria CF(away) | 2-1 | Tercera División RFEF - Group 10 |
| Oct 27, 2019 | Ciudad de Lucena(home) | 1-3 | 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 14; Córdoba II score 0.8 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Écija | 0.0 | 3.0 | 0 | 0/14 | 14/14 |
| Córdoba II | 0.8 | 2.0 | 0 | 10/14 | 9/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Córdoba II | 9 | 1 | 4 | 4 | 9 | 13 | 7 |
A question about Écija vs Córdoba II?
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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