Gijón Industrial vs Lealtad: result 0-0 and analysis
Tercera División RFEF - Group 2Group 2 - 13Kick-off on November 16, 2019 at 05:00 PM (UTC)Estadio Santa Cruz, Gijón
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What was the result of Gijón Industrial vs Lealtad?
Gijón Industrial and Lealtad drew 0-0 on November 16, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Gijón Industrial have 4 wins, 3 draws and 5 defeats; Lealtad have 8, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Vallobín(away) | 0-2 | Tercera División RFEF - Group 2 |
| Nov 1, 2019 | Urraca(home) | 1-2 | Tercera División RFEF - Group 2 |
| Oct 27, 2019 | Praviano(away) | 2-0 | Tercera División RFEF - Group 2 |
| Oct 20, 2019 | Ceares(home) | 4-0 | Tercera División RFEF - Group 2 |
| Oct 13, 2019 | Navarro(away) | 2-0 | Tercera División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Real Avilés(home) | 4-2 | Tercera División RFEF - Group 2 |
| Nov 3, 2019 | L'Entregu(away) | 0-0 | Tercera División RFEF - Group 2 |
| Oct 27, 2019 | Llanera(home) | 4-0 | Tercera División RFEF - Group 2 |
| Oct 20, 2019 | Siero(away) | 3-0 | Tercera División RFEF - Group 2 |
| Oct 13, 2019 | Mosconia(home) | 0-0 | Tercera División RFEF - Group 2 |
How many goals should we expect?
Gijón Industrial score 1.6 and concede 1.5 goals per match over their last 12; Lealtad score 1.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gijón Industrial | 1.6 | 1.5 | 3 | 7/12 | 6/12 |
| Lealtad | 1.9 | 0.5 | 8 | 4/12 | 6/12 |
Over the last 12 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Gijón Industrial | 34 | 7 | 11 | 16 | 36 | 57 | 32 |
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