CRAC vs Mogi Mirim: result 2-0 and analysis
Serie DSemi-finalsKick-off on October 5, 2012 at 11:30 PM (UTC)Estádio Genervino Evangelista da Fonseca, Catalão, Goiás
Full time
What was the result of CRAC vs Mogi Mirim?
CRAC won 2-0 on October 5, 2012.
Goalscorers
- 7′Ederson da Silva LimaCRAC
- 90′Ederson da Silva LimaCRAC
What is the recent form of both teams?
Over their last 13 matches in all competitions, CRAC have 6 wins, 4 draws and 3 defeats; Mogi Mirim have 5, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2012 | Mogi Mirim(away) | 1-1 | Serie D |
| Sep 22, 2012 | Friburguense(away) | 1-3 | Serie D |
| Sep 16, 2012 | Friburguense(home) | 2-0 | Serie D |
| Sep 9, 2012 | Nacional MG(home) | 1-0 | Serie D |
| Sep 2, 2012 | Nacional MG(away) | 1-2 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2012 | CRAC(home) | 1-1 | Serie D |
| Sep 23, 2012 | Cianorte(away) | 2-1 | Serie D |
| Sep 16, 2012 | Cianorte(home) | 1-2 | Serie D |
| Sep 9, 2012 | Metropolitano(away) | 2-1 | Serie D |
| Sep 2, 2012 | Metropolitano(home) | 0-1 | Serie D |
What does the head-to-head say?
In the last meeting: 0 CRAC wins, 1 draw, 0 Mogi Mirim wins.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2012 | Mogi Mirim 1-1 CRAC | Serie D |
How many goals should we expect?
CRAC score 1.6 and concede 1.2 goals per match over their last 13; Mogi Mirim score 1.2 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CRAC | 1.6 | 1.2 | 4 | 8/13 | 7/13 |
| Mogi Mirim | 1.2 | 1.0 | 3 | 9/13 | 7/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | CRAC | 10 | 3 | 4 | 3 | 7 | 7 | 13 |
A question about CRAC vs Mogi Mirim?
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