CRAC vs Guarani Campinas: result 0-0 and analysis
Serie CRegular Season - 9Kick-off on August 11, 2013 at 07:00 PM (UTC)Estádio Genervino Evangelista da Fonseca, Catalão, Goiás
Full time
What was the result of CRAC vs Guarani Campinas?
CRAC and Guarani Campinas drew 0-0 on August 11, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CRAC have 4 wins, 4 draws and 7 defeats; Guarani Campinas have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2013 | Duque de Caxias(away) | 1-1 | Serie C |
| Aug 4, 2013 | Macaé(home) | 1-0 | Serie C |
| Jul 27, 2013 | Mogi Mirim(away) | 0-4 | Serie C |
| Jul 20, 2013 | Caxias(home) | 0-1 | Serie C |
| Jul 13, 2013 | Vila Nova(away) | 0-1 | Serie C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2013 | Vila Nova(home) | 2-0 | Serie C |
| Aug 3, 2013 | Ipatinga(away) | 1-0 | Serie C |
| Jul 28, 2013 | Duque de Caxias(home) | 1-0 | Serie C |
| Jul 20, 2013 | Macaé(away) | 1-0 | Serie C |
| Jul 14, 2013 | Grêmio Barueri(home) | 0-0 | Serie C |
How many goals should we expect?
CRAC score 0.7 and concede 1.1 goals per match over their last 15; Guarani Campinas score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CRAC | 0.7 | 1.1 | 5 | 5/15 | 3/15 |
| Guarani Campinas | 0.9 | 0.7 | 8 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Guarani Campinas | 19 | 7 | 7 | 5 | 34 | 24 | 28 |
A question about CRAC vs Guarani Campinas?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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