Racing Montevideo vs Cerrito: result 0-0 and analysis
Primera División - ClausuraRegular Season - 2Kick-off on February 26, 2012 at 08:00 PM (UTC)Parque Osvaldo Roberto, Montevideo
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What was the result of Racing Montevideo vs Cerrito?
Racing Montevideo and Cerrito drew 0-0 on February 26, 2012.
Official lineup for Racing Montevideo vs Cerrito
The starting elevens fielded at kick-off.
Racing Montevideo
- CC. Ortíz
- FF. Gómez
- DD. Zabala
- MM. Sosa
- HHéctor Federico Vega Ataídes
- AA. Hernández
- JJ. Contreras
- GG. Aguilar
- RR. Brasesco
- MMatías Quagliotti Ponce de León
- MM. Fernández
Cerrito
- MM. Guerrero
- CCristian
- CCarlos Nicolás Núñez Anidape
- GGastón Ezequiel Minutillo
- FF. Molina
- II. González
- GGastón Fernando De Los Santos Núñez
- NNelson Enrique Techera Placeres
- MM. González
- SS. Sasson
- MMauricio Daniel Nanni Lima
What is the recent form of both teams?
In their last match in all competitions, Racing Montevideo have 0 wins, 0 draws and 1 defeat; Cerrito have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2012 | Liverpool Montevideo(away) | 1-2 | Primera División - Clausura |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2012 | Cerro(home) | 1-4 | Primera División - Clausura |
How many goals should we expect?
Racing Montevideo score 1.0 and concede 2.0 goals per match in their last match; Cerrito score 1.0 and concede 4.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Racing Montevideo | 1.0 | 2.0 | 0 | 1/1 | 1/1 |
| Cerrito | 1.0 | 4.0 | 0 | 1/1 | 1/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Racing Montevideo | 37 | 14 | 11 | 12 | 39 | 38 | 53 |
A question about Racing Montevideo vs Cerrito?
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