Ibarra vs Marino: result 0-1 and analysis
Tercera División RFEF - Group 12Group 12 - 10Kick-off on October 25, 2019 at 08:00 PM (UTC)Estadio Villa Isabel, Tenerife
Full time
What was the result of Ibarra vs Marino?
Marino won 0-1 on October 25, 2019.
Goalscorers
- 79′Jaime Jorge GonzálezMarino
What is the recent form of both teams?
Over their last 9 matches in all competitions, Ibarra have 3 wins, 2 draws and 4 defeats; Marino have 6, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Unión Viera(away) | 2-1 | Tercera División RFEF - Group 12 |
| Oct 12, 2019 | Lanzarote(home) | 2-2 | Tercera División RFEF - Group 12 |
| Oct 6, 2019 | Gran Tarajal(away) | 1-1 | Tercera División RFEF - Group 12 |
| Sep 29, 2019 | Panadería Pulido(home) | 0-3 | Tercera División RFEF - Group 12 |
| Sep 22, 2019 | Mensajero(away) | 1-4 | Tercera División RFEF - Group 12 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | UD San Fernando(home) | 4-2 | Tercera División RFEF - Group 12 |
| Oct 12, 2019 | Tamaraceite(away) | 1-3 | Tercera División RFEF - Group 12 |
| Oct 6, 2019 | Villa Santa Brígida(home) | 3-0 | Tercera División RFEF - Group 12 |
| Sep 29, 2019 | La Cuadra(away) | 3-0 | Tercera División RFEF - Group 12 |
| Sep 22, 2019 | Atlético Paso(home) | 0-0 | Tercera División RFEF - Group 12 |
How many goals should we expect?
Ibarra score 1.1 and concede 1.9 goals per match over their last 9; Marino score 2.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ibarra | 1.1 | 1.9 | 0 | 6/9 | 7/9 |
| Marino | 2.0 | 0.9 | 5 | 4/9 | 6/9 |
Over the last 9 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 |
|---|---|---|---|---|---|---|---|---|
| 12 | Marino | 34 | 8 | 15 | 11 | 44 | 40 | 39 |
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