Icasa vs Parana: result 0-3 and analysis
Serie BRegular Season - 19Kick-off on September 3, 2013 at 10:30 PM (UTC)Estádio Mauro Sampaio, Juazeiro do Norte, Ceará
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What was the result of Icasa vs Parana?
Parana won 0-3 on September 3, 2013.
Goalscorers
- 79′Wellington da Silva SerezuellaParana
- 86′KaykeParana
- 90′J. MoralesParana
Official lineup for Icasa vs Parana
The starting elevens fielded at kick-off.
Icasa
- JJosé Tadeu Mouro Júnior
- JJuninho Potiguar
- GGeraldo
- EElanardo
- PPreto Costa
- CCarlinhos
- LLuiz Otávio
- NNaylhor
- NNeílson
- DDa Silva
- RRicardo Ernesto Ahlf
Parana
- JJ. Morales
- KKayke
- FFelipe Amorim
- MMoacir
- CCambará
- FFernando Gabriel
- EEdson Sitta
- BBrinner
- TTiago Silva
- AAlex Alves
- LLuís Carlos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Icasa have 8 wins, 0 draws and 7 defeats; Parana have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2013 | Chapecoense-sc(away) | 2-1 | Serie B |
| Aug 25, 2013 | Paysandu(away) | 2-1 | Serie B |
| Aug 18, 2013 | RB Bragantino(home) | 4-1 | Serie B |
| Aug 14, 2013 | ABC(home) | 2-1 | Serie B |
| Aug 10, 2013 | BOA(away) | 0-1 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2013 | Guaratinguetá(home) | 4-0 | Serie B |
| Aug 24, 2013 | Sport Recife(home) | 1-0 | Serie B |
| Aug 17, 2013 | Chapecoense-sc(away) | 2-2 | Serie B |
| Aug 13, 2013 | BOA(home) | 3-1 | Serie B |
| Aug 10, 2013 | Palmeiras(away) | 1-2 | Serie B |
How many goals should we expect?
Icasa score 1.4 and concede 1.7 goals per match over their last 15; Parana score 1.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Icasa | 1.4 | 1.7 | 2 | 8/15 | 13/15 |
| Parana | 1.8 | 0.8 | 8 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Icasa vs Parana?
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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