Calor de San Pedro vs Caja Oblatos CFD: result 1-0 and analysis
Liga Premier Serie BApertura - 7Kick-off on October 19, 2024 at 10:00 PM (UTC)Estadio Unidad Deportiva Solidaridad, Reynosa
Full time
What was the result of Calor de San Pedro vs Caja Oblatos CFD?
Calor de San Pedro won 1-0 on October 19, 2024.
Goalscorers
- 65′?Calor de San Pedro
What is the recent form of both teams?
Over their last 15 matches in all competitions, Calor de San Pedro have 6 wins, 5 draws and 4 defeats; Caja Oblatos CFD have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2024 | Cañoneros Marina(away) | 0-1 | Liga Premier Serie B |
| Sep 28, 2024 | Artesanos Metepec(home) | 0-0 | Liga Premier Serie B |
| Sep 20, 2024 | CF Pachuca 2(away) | 3-1 | Liga Premier Serie B |
| Sep 14, 2024 | Acambaro(home) | 3-2 | Liga Premier Serie B |
| Sep 7, 2024 | Ciervos(away) | 4-1 | Liga Premier Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2024 | CF Pachuca 2(home) | 0-1 | Liga Premier Serie B |
| Oct 5, 2024 | Acambaro(away) | 0-2 | Liga Premier Serie B |
| Sep 29, 2024 | Ciervos(home) | 0-1 | Liga Premier Serie B |
| Sep 24, 2024 | Poza Rica(away) | 1-3 | Liga Premier Serie B |
| Sep 15, 2024 | Real Zamora(home) | 1-3 | Liga Premier Serie B |
How many goals should we expect?
Calor de San Pedro score 1.3 and concede 1.2 goals per match over their last 15; Caja Oblatos CFD score 1.0 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Calor de San Pedro | 1.3 | 1.2 | 6 | 6/15 | 6/15 |
| Caja Oblatos CFD | 1.0 | 2.4 | 2 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Caja Oblatos CFD | 18 | 4 | 1 | 13 | 21 | 50 | 13 |
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