Tudelano vs San Juan: result 1-0 and analysis
Segunda División RFEF - Group 2Group 2 - 9Kick-off on October 29, 2022 at 04:30 PM (UTC)Estadio Municipal Ciudad de Tudela, Tudela
Full time
What was the result of Tudelano vs San Juan?
Tudelano won 1-0 on October 29, 2022.
Goalscorers
- 47′A. CosciaTudelano
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tudelano have 6 wins, 1 draws and 8 defeats; San Juan have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Deportivo Alavés II(away) | 0-2 | Segunda División RFEF - Group 2 |
| Oct 16, 2022 | Gernika(home) | 3-2 | Segunda División RFEF - Group 2 |
| Oct 9, 2022 | Arenas Getxo(away) | 3-0 | Segunda División RFEF - Group 2 |
| Oct 2, 2022 | UD Logroñés II(home) | 2-1 | Segunda División RFEF - Group 2 |
| Sep 25, 2022 | Alfaro(away) | 0-2 | Segunda División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Sestao River(home) | 1-1 | Segunda División RFEF - Group 2 |
| Oct 16, 2022 | Marquense(away) | 2-6 | Primera Division |
| Oct 16, 2022 | Real Sociedad III(away) | 1-2 | Segunda División RFEF - Group 2 |
| Oct 9, 2022 | Quiché(home) | 3-1 | Primera Division |
| Oct 8, 2022 | Racing Rioja(home) | 1-1 | Segunda División RFEF - Group 2 |
How many goals should we expect?
Tudelano score 1.3 and concede 1.6 goals per match over their last 15; San Juan score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tudelano | 1.3 | 1.6 | 5 | 6/15 | 8/15 |
| San Juan | 1.3 | 1.7 | 2 | 10/15 | 8/15 |
Over the last 15 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Tudelano | 34 | 16 | 9 | 9 | 56 | 40 | 57 |
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