Celaya vs Loros Universidad: result 3-0 and analysis
Liga de Expansión MXApertura - 2Kick-off on July 24, 2016 at 12:00 AM (UTC)Estadio Miguel Alemán Valdés, Celaya
Full time
What was the result of Celaya vs Loros Universidad?
Celaya won 3-0 on July 24, 2016.
Goalscorers
- 6′S. VergaraCelaya
- 42′Abraham Isaí Riestra ParraCelaya
- 83′C. MonsalvoCelaya
Official lineup for Celaya vs Loros Universidad
The starting elevens fielded at kick-off.
Celaya
- 7S. Vergara
- 8R. López
- 13Á. Reyna
- 17I. Torres
- 18Franz Eric Torres Jaimes
- 25R. Alvarado
- 5A. Padilla
- 10Alfredo Moreno
- 3Carlos Alberto Galeana Irra
- 4Abraham Isaí Riestra Parra
- 12Guillermo Pozos Guevara
Loros Universidad
- 1Carlo Stefano Rodríguez Lara
- 19Eder Omar Cruz Jiménez
- 7Marvin Leonardo Piñón Polanco
- 10Felipe Ponce Ramírez
- 15A. Coronado
- 28Ángel Chavarría Rivas
- 18B. López
- 2Cristian Felipe Ocaña Téllez
- 4M. Madrid
- 26Martín Baruc Orozco Chávez
- 23Miguel Ángel Tejeda Ramírez
What is the recent form of both teams?
In their last match in all competitions, Celaya have 0 wins, 0 draws and 1 defeat; Loros Universidad have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2016 | Cimarrones(away) | 0-2 | Liga de Expansión MX |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 17, 2016 | Venados FC(home) | 2-0 | Liga de Expansión MX |
How many goals should we expect?
Celaya score 0.0 and concede 2.0 goals per match in their last match; Loros Universidad score 2.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Celaya | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
| Loros Universidad | 2.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last match in all competitions.
A question about Celaya vs Loros Universidad?
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
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