Ibarra vs Tenisca: result 0-1 and analysis
Tercera División RFEF - Group 12Group 12 - 14Kick-off on November 23, 2019 at 04:00 PM (UTC)Estadio Villa Isabel, Tenerife
Full time
What was the result of Ibarra vs Tenisca?
Tenisca won 0-1 on November 23, 2019.
Goalscorers
- 17′Jorge Gómez SánchezTenisca
What is the recent form of both teams?
Over their last 13 matches in all competitions, Ibarra have 5 wins, 2 draws and 6 defeats; Tenisca have 7, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Santa Úrsula(away) | 2-1 | Tercera División RFEF - Group 12 |
| Nov 8, 2019 | Tenerife II(home) | 0-1 | Tercera División RFEF - Group 12 |
| Oct 31, 2019 | Buzanada(away) | 2-0 | Tercera División RFEF - Group 12 |
| Oct 25, 2019 | Marino(home) | 0-1 | Tercera División RFEF - Group 12 |
| Oct 19, 2019 | Unión Viera(away) | 2-1 | Tercera División RFEF - Group 12 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | UD San Fernando(home) | 1-0 | Tercera División RFEF - Group 12 |
| Nov 9, 2019 | Tamaraceite(away) | 3-1 | Tercera División RFEF - Group 12 |
| Nov 3, 2019 | Villa Santa Brígida(home) | 3-1 | Tercera División RFEF - Group 12 |
| Oct 27, 2019 | La Cuadra(away) | 3-1 | Tercera División RFEF - Group 12 |
| Oct 20, 2019 | Atlético Paso(home) | 3-3 | Tercera División RFEF - Group 12 |
How many goals should we expect?
Ibarra score 1.1 and concede 1.5 goals per match over their last 13; Tenisca score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ibarra | 1.1 | 1.5 | 1 | 7/13 | 8/13 |
| Tenisca | 1.7 | 1.3 | 4 | 8/13 | 8/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Tenisca | 34 | 6 | 7 | 21 | 32 | 68 | 25 |
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