Jaguares de Chiapas vs Toluca: result 1-0 and analysis
Liga MXApertura - 3Kick-off on July 31, 2016 at 10:00 PM (UTC)Estadio Víctor Manuel Reyna, Tuxtla Gutiérrez
Full time
What was the result of Jaguares de Chiapas vs Toluca?
Jaguares de Chiapas won 1-0 on July 31, 2016.
Goalscorers
- 16′A. EscobozaJaguares de Chiapas
Official lineup for Jaguares de Chiapas vs Toluca
The starting elevens fielded at kick-off.
Jaguares de Chiapas
4-4-1-1- 23M. Zúñiga
- 7L. Mendoza
- 18D. Villalpando
- 17A. Escoboza
- 5E. Arévalo
- 8D. De La Torre
- 15Bruno Pirri
- 24J. Patiño
- 4Luis Gerardo Venegas Zumarán
- 2B. Angulo
- 21Ó. Jiménez
Toluca
4-2-3-1- 21E. Triverio
- 11C. Esquivel
- 27R. Gómez
- 15Antonio Ríos Martínez
- 7M. Velasco
- 10Sinha
- 16G. Rodríguez
- 33G. Flores
- 3A. Galindo
- 4P. Da Silva
- 12M. Centeno
What is the recent form of both teams?
Over their last 2 matches in all competitions, Jaguares de Chiapas have 0 wins, 0 draws and 2 defeats; Toluca have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2016 | CF Pachuca(home) | 0-2 | Liga MX |
| Jul 17, 2016 | Club America(away) | 0-2 | Liga MX |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2016 | Club America(away) | 1-3 | Liga MX |
| Jul 17, 2016 | Atlas(away) | 1-1 | Liga MX |
How many goals should we expect?
Jaguares de Chiapas score 0.0 and concede 2.0 goals per match over their last 2; Toluca score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jaguares de Chiapas | 0.0 | 2.0 | 0 | 0/2 | 0/2 |
| Toluca | 1.0 | 2.0 | 0 | 2/2 | 1/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Toluca | 15 | 6 | 6 | 3 | 31 | 21 | 24 |
A question about Jaguares de Chiapas vs Toluca?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy