Santa Amalia vs Quintana: result 3-0 and analysis
Tercera División RFEF - Group 14Group 14 - 2Kick-off on September 13, 2026 at 05:30 PM (UTC)Estadio Municipal de Santa Amalia, Santa Amalia
Full time
What was the result of Santa Amalia vs Quintana?
Santa Amalia won 3-0 on September 13, 2026.
Goalscorers
- 27′629015Santa Amalia
- 65′634591Santa Amalia
- 78′684620Santa Amalia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Santa Amalia have 1 win, 3 draws and 11 defeats; Quintana have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2026 | Plasencia(away) | 0-0 | Tercera División RFEF - Group 14 |
| May 10, 2026 | Montijo(away) | 1-2 | Tercera División RFEF - Group 14 |
| May 3, 2026 | Moralo(home) | 0-2 | Tercera División RFEF - Group 14 |
| Apr 26, 2026 | Diocesano(away) | 0-0 | Tercera División RFEF - Group 14 |
| Apr 19, 2026 | Villafranca(home) | 0-2 | Tercera División RFEF - Group 14 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2026 | CD Zafra(home) | 0-1 | Tercera División RFEF - Group 14 |
How many goals should we expect?
Santa Amalia score 0.6 and concede 2.1 goals per match over their last 15; Quintana score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Santa Amalia | 0.6 | 2.1 | 2 | 6/15 | 9/15 |
| Quintana | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Santa Amalia sit 12th in Tercera División RFEF - Group 14 (12 points from 10 matches) and Quintana sit 9th (13 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Quintana | 10 | 3 | 4 | 3 | 10 | 9 | 13 |
| 12 | Santa Amalia | 10 | 2 | 6 | 2 | 13 | 11 | 12 |
A question about Santa Amalia vs Quintana?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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