Resende vs Mixto: result 2-1 and analysis
Serie D8th FinalsKick-off on August 31, 2013 at 06:00 PM (UTC)Estádio do Trabalhador, Resende, Rio de Janeiro
Full time
What was the result of Resende vs Mixto?
Resende won 2-1 on August 31, 2013.
Goalscorers
- 34′Geilson de Carvalho SoaresMixto
- 37′Clebson Fontoura SoutoResende
- 73′Marcelo Regis de SouzaResende
What is the recent form of both teams?
Over their last 8 matches in all competitions, Resende have 4 wins, 2 draws and 2 defeats; Mixto have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2013 | Nova Iguaçu(home) | 2-2 | Serie D |
| Aug 10, 2013 | Tupi(away) | 0-1 | Serie D |
| Aug 3, 2013 | Aracruz(home) | 4-1 | Serie D |
| Jul 27, 2013 | Araxá(away) | 3-1 | Serie D |
| Jul 20, 2013 | Aracruz(away) | 0-0 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2013 | Aparecidense(away) | 0-0 | Serie D |
| Aug 17, 2013 | Águia Negra(home) | 1-0 | Serie D |
| Aug 11, 2013 | Goianésia(away) | 1-0 | Serie D |
| Jul 27, 2013 | Brasília(home) | 0-1 | Serie D |
| Jul 14, 2013 | Brasília(away) | 2-1 | Serie D |
How many goals should we expect?
Resende score 1.4 and concede 0.8 goals per match over their last 8; Mixto score 1.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Resende | 1.4 | 0.8 | 3 | 3/8 | 3/8 |
| Mixto | 1.1 | 0.6 | 8 | 5/15 | 4/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mixto | 10 | 2 | 6 | 2 | 10 | 9 | 12 |
A question about Resende vs Mixto?
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