Gévora vs Diocesano: result 0-0 and analysis
Tercera División RFEF - Group 14Group 14 - 13Kick-off on December 7, 2025 at 03:15 PM (UTC)Campo De Fútbol Gévora, Gévora
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What was the result of Gévora vs Diocesano?
Gévora and Diocesano drew 0-0 on December 7, 2025.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Gévora have 3 wins, 5 draws and 6 defeats; Diocesano have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2025 | Villafranca(away) | 0-2 | Tercera División RFEF - Group 14 |
| Nov 16, 2025 | Don Benito(home) | 0-3 | Tercera División RFEF - Group 14 |
| Nov 9, 2025 | Santa Amalia(away) | 1-1 | Tercera División RFEF - Group 14 |
| Nov 2, 2025 | Azuaga(home) | 2-2 | Tercera División RFEF - Group 14 |
| Oct 26, 2025 | Jerez(home) | 2-2 | Tercera División RFEF - Group 14 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2025 | Calamonte(home) | 1-1 | Tercera División RFEF - Group 14 |
| Nov 16, 2025 | Puebla Calzada(away) | 1-2 | Tercera División RFEF - Group 14 |
| Nov 9, 2025 | Jaraíz(home) | 2-3 | Tercera División RFEF - Group 14 |
| Nov 2, 2025 | Montehermoso(away) | 1-1 | Tercera División RFEF - Group 14 |
| Oct 26, 2025 | Villanovense(home) | 0-0 | Tercera División RFEF - Group 14 |
How many goals should we expect?
Gévora score 1.0 and concede 1.9 goals per match over their last 14; Diocesano score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gévora | 1.0 | 1.9 | 3 | 7/14 | 7/14 |
| Diocesano | 1.4 | 1.7 | 3 | 12/15 | 9/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Gévora | 6 | 2 | 2 | 2 | 9 | 11 | 8 |
A question about Gévora vs Diocesano?
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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