Cruz Azul vs CF Pachuca: result 2-1 and analysis
Liga MXApertura - 16Kick-off on November 5, 2016 at 11:00 PM (UTC)Estadio Azteca, D.F.
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What was the result of Cruz Azul vs CF Pachuca?
Cruz Azul won 2-1 on November 5, 2016.
Goalscorers
- 21′V. GuzmánCF Pachuca
- 24′94558Cruz Azul
- 75′J. BenítezCruz Azul
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cruz Azul have 3 wins, 7 draws and 5 defeats; CF Pachuca have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Guadalajara Chivas(away) | 2-3 | Liga MX |
| Oct 22, 2016 | Puebla(home) | 1-2 | Liga MX |
| Oct 16, 2016 | Monarcas(away) | 1-1 | Liga MX |
| Oct 1, 2016 | Veracruz(home) | 5-3 | Liga MX |
| Sep 25, 2016 | Tigres UANL(away) | 0-0 | Liga MX |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Atlas(home) | 3-2 | Liga MX |
| Oct 24, 2016 | Guadalajara Chivas(away) | 2-1 | Liga MX |
| Oct 20, 2016 | CD Olimpia(away) | 4-4 | CONCACAF Champions League |
| Oct 16, 2016 | Santos Laguna(home) | 3-0 | Liga MX |
| Oct 2, 2016 | Puebla(away) | 1-1 | Liga MX |
How many goals should we expect?
Cruz Azul score 1.4 and concede 1.3 goals per match over their last 15; CF Pachuca score 2.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cruz Azul | 1.4 | 1.3 | 5 | 9/15 | 7/15 |
| CF Pachuca | 2.8 | 1.3 | 5 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Cruz Azul sit 6th in Liga MX (6 points from 3 matches) and CF Pachuca sit 13th (3 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Cruz Azul | 3 | 2 | 0 | 1 | 7 | 6 | 6 |
| 12 | Cruz Azul | 5 | 2 | 0 | 3 | 8 | 10 | 6 |
| 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