Ypiranga-RS vs Caldense: result 1-1 and analysis
Serie DQuarter-finalsKick-off on October 17, 2015 at 10:00 PM (UTC)Estádio Olímpico Colosso da Lagoa, Erechim, Rio Grande do Sul
Full time
What was the result of Ypiranga-RS vs Caldense?
Ypiranga-RS and Caldense drew 1-1 on October 17, 2015.
Goalscorers
- 13′GonçalvesYpiranga-RS
- 52′RobsonCaldense (o.g.)
What is the recent form of both teams?
Over their last 11 matches in all competitions, Ypiranga-RS have 7 wins, 2 draws and 2 defeats; Caldense have 5, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2015 | Caldense(away) | 1-1 | Serie D |
| Oct 4, 2015 | Rio Branco(home) | 3-0 | Serie D |
| Sep 27, 2015 | Rio Branco(away) | 1-0 | Serie D |
| Sep 13, 2015 | Internacional SC(away) | 1-0 | Serie D |
| Aug 30, 2015 | Resende(home) | 0-0 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2015 | Ypiranga-RS(home) | 1-1 | Serie D |
| Oct 3, 2015 | Rio Branco ES(away) | 1-0 | Serie D |
| Sep 26, 2015 | Rio Branco ES(home) | 1-1 | Serie D |
| Sep 13, 2015 | Rio Branco ES(away) | 1-2 | Serie D |
| Sep 6, 2015 | Aparecidense(home) | 0-0 | Serie D |
What does the head-to-head say?
In the last meeting: 0 Ypiranga-RS wins, 1 draw, 0 Caldense wins.
| Date | Score | Competition |
|---|---|---|
| Oct 12, 2015 | Caldense 1-1 Ypiranga-RS | Serie D |
Last archived meeting: Caldense vs Ypiranga-RS on Oct 12, 2015
How many goals should we expect?
Ypiranga-RS score 1.1 and concede 0.4 goals per match over their last 11; Caldense score 1.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ypiranga-RS | 1.1 | 0.4 | 7 | 2/11 | 2/11 |
| Caldense | 1.0 | 0.5 | 7 | 4/11 | 3/11 |
Over the last 11 matches in all competitions.
A question about Ypiranga-RS vs Caldense?
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