Cabecense vs Atlético Espeleño: result 2-1 and analysis
Tercera División RFEF - Group 10Group 10 - 2Kick-off on September 16, 2023 at 05:30 PM (UTC)Estadio Municipal Carlos Marchena, Las Cabezas de San Juan
Full time
What was the result of Cabecense vs Atlético Espeleño?
Cabecense won 2-1 on September 16, 2023.
Goalscorers
- 6′Luis Gonzaga Domínguez VergaraCabecense
- 88′Diego Román OrozcoCabecense
- 89′Fran CanoAtlético Espeleño
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cabecense have 4 wins, 3 draws and 8 defeats; Atlético Espeleño have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2023 | Gerena(away) | 0-2 | Tercera División RFEF - Group 10 |
| Apr 24, 2022 | Gerena(home) | 0-3 | Tercera División RFEF - Group 10 |
| Apr 17, 2022 | Recreativo Huelva(away) | 0-3 | Tercera División RFEF - Group 10 |
| Apr 9, 2022 | Conil(away) | 1-1 | Tercera División RFEF - Group 10 |
| Apr 3, 2022 | Córdoba II(home) | 4-3 | Tercera División RFEF - Group 10 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2023 | Ceuta II(home) | 4-1 | Tercera División RFEF - Group 10 |
| Apr 23, 2023 | Xerez(away) | 1-3 | Tercera División RFEF - Group 10 |
| Apr 15, 2023 | Córdoba II(home) | 2-0 | Tercera División RFEF - Group 10 |
| Apr 1, 2023 | Puente Genil(away) | 1-0 | Tercera División RFEF - Group 10 |
| Mar 26, 2023 | Ciudad de Lucena(away) | 1-2 | Tercera División RFEF - Group 10 |
How many goals should we expect?
Cabecense score 0.9 and concede 1.5 goals per match over their last 15; Atlético Espeleño score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cabecense | 0.9 | 1.5 | 3 | 5/15 | 6/15 |
| Atlético Espeleño | 1.9 | 1.4 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
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