Caxias vs Luverdense: result 1-2 and analysis
Serie CQuarter-finalsKick-off on October 19, 2013 at 07:00 PM (UTC)Estádio Francisco Stédile, Caxias do Sul, Rio Grande do Sul
Full time
What was the result of Caxias vs Luverdense?
Luverdense won 1-2 on October 19, 2013.
Goalscorers
- 11′Gilson AlvesLuverdense
- 13′Tiago PagnussatCaxias
- 90′Gilson AlvesLuverdense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Caxias have 6 wins, 4 draws and 5 defeats; Luverdense have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2013 | Duque de Caxias(away) | 0-1 | Serie C |
| Oct 5, 2013 | Grêmio Barueri(home) | 1-1 | Serie C |
| Sep 29, 2013 | Vila Nova(home) | 2-1 | Serie C |
| Sep 21, 2013 | Madureira(away) | 1-1 | Serie C |
| Sep 14, 2013 | CRAC(home) | 3-0 | Serie C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2013 | Águia de Marabá(home) | 3-0 | Serie C |
| Oct 6, 2013 | Baraúnas(away) | 1-0 | Serie C |
| Sep 28, 2013 | Fortaleza EC(away) | 1-2 | Serie C |
| Sep 26, 2013 | CRB(home) | 2-2 | Serie C |
| Sep 18, 2013 | Rio Branco(away) | 0-1 | Serie C |
How many goals should we expect?
Caxias score 0.9 and concede 0.9 goals per match over their last 15; Luverdense score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Caxias | 0.9 | 0.9 | 7 | 5/15 | 5/15 |
| Luverdense | 1.3 | 1.1 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Caxias | 19 | 6 | 7 | 6 | 17 | 16 | 25 |
A question about Caxias vs Luverdense?
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