Villa Nova vs Anapolina: result 1-2 and analysis
Serie DRegular Season - 9Kick-off on September 14, 2014 at 07:00 PM (UTC)Estádio Municipal Castor de Cifuentes, Nova Lima, Minas Gerais
Full time
What was the result of Villa Nova vs Anapolina?
Anapolina won 1-2 on September 14, 2014.
Goalscorers
- 45′Renato Xavier SenaAnapolina
What is the recent form of both teams?
Over their last 14 matches in all competitions, Villa Nova have 3 wins, 4 draws and 7 defeats; Anapolina have 1, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2014 | Itaporã(away) | 3-0 | Serie D |
| Aug 24, 2014 | Estrela do Norte(home) | 1-2 | Serie D |
| Aug 9, 2014 | Estrela do Norte(away) | 1-1 | Serie D |
| Aug 3, 2014 | Itaporã(home) | 2-3 | Serie D |
| Jul 27, 2014 | Anapolina(away) | 1-1 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2014 | Estrela do Norte(home) | 0-0 | Serie D |
| Aug 31, 2014 | Brasiliense(away) | 1-1 | Serie D |
| Aug 17, 2014 | Brasiliense(home) | 0-1 | Serie D |
| Aug 2, 2014 | Estrela do Norte(away) | 3-4 | Serie D |
| Jul 27, 2014 | Villa Nova(home) | 1-1 | Serie D |
What does the head-to-head say?
In the last meeting: 0 Villa Nova wins, 1 draw, 0 Anapolina wins.
| Date | Score | Competition |
|---|---|---|
| Jul 27, 2014 | Anapolina 1-1 Villa Nova | Serie D |
Last archived meeting: Anapolina vs Villa Nova on Jul 27, 2014
How many goals should we expect?
Villa Nova score 1.1 and concede 1.4 goals per match over their last 14; Anapolina score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Villa Nova | 1.1 | 1.4 | 2 | 9/14 | 8/14 |
| Anapolina | 1.0 | 1.2 | 2 | 3/6 | 1/6 |
Over the last 14 matches in all competitions.
A question about Villa Nova vs Anapolina?
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