Ceuta vs Conil: result 3-1 and analysis
Tercera División RFEF - Group 10Group 10 - 10Kick-off on October 27, 2019 at 10:00 AM (UTC)Estadio Municipal Alfonso Murube, Ceuta
Full time
What was the result of Ceuta vs Conil?
Ceuta won 3-1 on October 27, 2019.
Goalscorers
- 13′Nané GarcíaCeuta
- 20′Ismael CésarCeuta
- 30′185410Conil
- 66′Víctor Manuel González JiménezCeuta
What is the recent form of both teams?
Over their last 10 matches in all competitions, Ceuta have 3 wins, 4 draws and 3 defeats; Conil have 2, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Arcos(away) | 0-0 | Tercera División RFEF - Group 10 |
| Oct 13, 2019 | Real Betis II(away) | 0-0 | Tercera División RFEF - Group 10 |
| Oct 6, 2019 | Córdoba II(home) | 3-0 | Tercera División RFEF - Group 10 |
| Sep 28, 2019 | Lebrijana(away) | 3-3 | Tercera División RFEF - Group 10 |
| Sep 22, 2019 | Xerez(home) | 5-0 | Tercera División RFEF - Group 10 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Real Betis II(home) | 1-1 | Tercera División RFEF - Group 10 |
| Oct 13, 2019 | Córdoba II(away) | 2-1 | Tercera División RFEF - Group 10 |
| Oct 5, 2019 | Lebrijana(home) | 0-0 | Tercera División RFEF - Group 10 |
| Sep 29, 2019 | Xerez(away) | 1-2 | Tercera División RFEF - Group 10 |
| Sep 21, 2019 | Utrera(home) | 1-0 | Tercera División RFEF - Group 10 |
How many goals should we expect?
Ceuta score 1.5 and concede 1.1 goals per match over their last 10; Conil score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ceuta | 1.5 | 1.1 | 4 | 3/10 | 5/10 |
| Conil | 0.7 | 1.0 | 2 | 4/9 | 2/9 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Conil | 34 | 15 | 7 | 12 | 43 | 44 | 52 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy