Calasancio vs Villegas: result 2-1 and analysis
Tercera División RFEF - Group 16Group 16 - 5Kick-off on September 19, 2019 at 06:30 PM (UTC)Estadio La Estrella, Logroño
Full time
What was the result of Calasancio vs Villegas?
Calasancio won 2-1 on September 19, 2019.
Goalscorers
- 5′Jose Antonio Rodríguez DíazCalasancio
- 34′Jorge EspinosaVillegas (pen.)
- 58′Marcos Medrano BodegaCalasancio
What is the recent form of both teams?
Over their last 4 matches in all competitions, Calasancio have 0 wins, 0 draws and 4 defeats; Villegas have 0, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Yagüe(away) | 1-2 | Tercera División RFEF - Group 16 |
| Sep 8, 2019 | Arnedo(home) | 0-2 | Tercera División RFEF - Group 16 |
| Sep 1, 2019 | Pradejón(away) | 0-4 | Tercera División RFEF - Group 16 |
| Aug 25, 2019 | Alfaro(home) | 1-2 | Tercera División RFEF - Group 16 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Arnedo(away) | 1-7 | Tercera División RFEF - Group 16 |
| Sep 7, 2019 | Alfaro(home) | 1-2 | Tercera División RFEF - Group 16 |
| Sep 1, 2019 | Alberite(away) | 0-1 | Tercera División RFEF - Group 16 |
| Aug 24, 2019 | Oyonesa(home) | 0-1 | Tercera División RFEF - Group 16 |
How many goals should we expect?
Calasancio score 0.5 and concede 2.5 goals per match over their last 4; Villegas score 0.5 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Calasancio | 0.5 | 2.5 | 0 | 2/4 | 3/4 |
| Villegas | 0.5 | 2.8 | 0 | 2/4 | 2/4 |
Over the last 4 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | Villegas | 34 | 7 | 8 | 20 | 36 | 66 | 29 |
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