Puebla vs CF Pachuca: result 1-1 and analysis
Liga MXApertura - 12Kick-off on October 2, 2016 at 11:00 PM (UTC)Estadio Cuauhtémoc, Puebla
Full time
What was the result of Puebla vs CF Pachuca?
Puebla and CF Pachuca drew 1-1 on October 2, 2016.
Goalscorers
- 66′M. AlustizaPuebla
- 90′R. BottaCF Pachuca
What is the recent form of both teams?
Over their last 11 matches in all competitions, Puebla have 4 wins, 3 draws and 4 defeats; CF Pachuca have 9, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2016 | Monarcas(away) | 3-2 | Liga MX |
| Sep 21, 2016 | Veracruz(home) | 3-2 | Liga MX |
| Sep 18, 2016 | Tigres UANL(away) | 1-2 | Liga MX |
| Sep 11, 2016 | Toluca(home) | 0-2 | Liga MX |
| Aug 28, 2016 | Jaguares de Chiapas(away) | 3-0 | Liga MX |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2016 | Club Queretaro(home) | 2-0 | Liga MX |
| Sep 21, 2016 | Monarcas(away) | 5-1 | Liga MX |
| Sep 18, 2016 | Club Tijuana(home) | 2-2 | Liga MX |
| Sep 14, 2016 | Police United(away) | 11-0 | CONCACAF Champions League |
| Sep 10, 2016 | Veracruz(away) | 0-1 | Liga MX |
How many goals should we expect?
Puebla score 1.7 and concede 1.6 goals per match over their last 11; CF Pachuca score 2.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puebla | 1.7 | 1.6 | 2 | 8/11 | 8/11 |
| CF Pachuca | 2.7 | 0.9 | 7 | 5/14 | 7/14 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Puebla sit 11th in Liga MX (4 points from 3 matches) and CF Pachuca sit 13th (3 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Puebla | 5 | 3 | 1 | 1 | 9 | 7 | 10 |
| 11 | Puebla | 3 | 1 | 1 | 1 | 3 | 3 | 4 |
| 13 | CF Pachuca | 3 | 1 | 0 | 2 | 4 | 3 | 3 |
| 15 | CF Pachuca | 4 | 1 | 0 | 3 | 6 | 6 | 3 |
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