San Javier vs SFC Minerva: result 1-0 and analysis
Tercera División RFEF - Group 13Group 13 - 3Kick-off on September 20, 2026 at 04:00 PM (UTC)
Full time
What was the result of San Javier vs SFC Minerva?
San Javier won 1-0 on September 20, 2026.
Goalscorers
- 71′684972San Javier (o.g.)
What is the recent form of both teams?
Over their last 2 matches in all competitions, San Javier have 1 win, 1 draw and 0 defeats; SFC Minerva have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2026 | Unión Molinense(away) | 2-2 | Tercera División RFEF - Group 13 |
| Sep 6, 2026 | Santa Cruz(home) | 3-2 | Tercera División RFEF - Group 13 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2026 | Cartagena LU II(home) | 0-0 | Tercera División RFEF - Group 13 |
| Sep 6, 2026 | Balsicas Atlético(away) | 1-0 | Tercera División RFEF - Group 13 |
| May 10, 2026 | El Palmar(home) | 3-2 | Tercera División RFEF - Group 13 |
| May 3, 2026 | Balsicas Atlético(away) | 0-4 | Tercera División RFEF - Group 13 |
| Apr 26, 2026 | Unión Molinense(home) | 2-0 | Tercera División RFEF - Group 13 |
How many goals should we expect?
San Javier score 2.5 and concede 2.0 goals per match over their last 2; SFC Minerva score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Javier | 2.5 | 2.0 | 0 | 2/2 | 2/2 |
| SFC Minerva | 0.7 | 1.2 | 6 | 3/15 | 5/15 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
San Javier sit 2nd in Tercera División RFEF - Group 13 (14 points from 6 matches) and SFC Minerva sit 13th (8 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | San Javier | 6 | 4 | 2 | 0 | 11 | 5 | 14 |
| 13 | SFC Minerva | 6 | 2 | 2 | 2 | 3 | 4 | 8 |
A question about San Javier vs SFC Minerva?
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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