CRAC vs ASA: result 0-0 and analysis
Serie CRegular Season - 8Kick-off on July 27, 2014 at 07:00 PM (UTC)Estádio Genervino Evangelista da Fonseca, Catalão, Goiás
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What was the result of CRAC vs ASA?
CRAC and ASA drew 0-0 on July 27, 2014.
Official lineup for CRAC vs ASA
The starting elevens fielded at kick-off.
CRAC
- TTito
- JJefferson da Silva
- LLuiz Oliveira dos Santos Junior
- DDiogo Justino Medeiros
- DDiego Perini
- EEverton da Silva Furtado
- FFabio Carleandro Da Silva
- LLuciano da Costa Ferreira
- TTiago Sala
- KKarlos Wagner da Silva Sousa
- DDudú
ASA
- TTiago Fernandes Cavalcanti
- MMicheel
- NNatan
- LLucas Rodrigues Martins
- DDidira
- RRai Vilela
- MMarco Tiago Faustino
- RRomano
- RRodrigo Aparecido Miguel
- TTiago Baiano
- PPedro Henrique
What is the recent form of both teams?
Over their last 15 matches in all competitions, CRAC have 5 wins, 5 draws and 5 defeats; ASA have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2014 | Salgueiro(away) | 2-2 | Serie C |
| May 31, 2014 | Águia de Marabá(home) | 2-1 | Serie C |
| May 25, 2014 | Treze(away) | 0-1 | Serie C |
| May 17, 2014 | Fortaleza EC(home) | 0-0 | Serie C |
| May 11, 2014 | CRB(away) | 3-2 | Serie C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2014 | Botafogo PB(home) | 1-1 | Serie C |
| Jun 7, 2014 | CRB(home) | 0-1 | Serie C |
| May 25, 2014 | Águia de Marabá(home) | 3-1 | Serie C |
| May 18, 2014 | Cuiaba(home) | 1-0 | Serie C |
| May 10, 2014 | Paysandu(away) | 0-1 | Serie C |
How many goals should we expect?
CRAC score 1.1 and concede 1.2 goals per match over their last 15; ASA score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CRAC | 1.1 | 1.2 | 5 | 7/15 | 7/15 |
| ASA | 1.1 | 1.3 | 4 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about CRAC vs ASA?
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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