Novorizontino vs Itapemirim: result 2-1 and analysis
Serie DRegular Season - 3Kick-off on May 5, 2018 at 10:30 PM (UTC)Estádio Dr. Jorge Ismael de Biasi, Novo Horizonte, São Paulo
Full time
What was the result of Novorizontino vs Itapemirim?
Novorizontino won 2-1 on May 5, 2018.
Goalscorers
- 18′Adilson GoianoNovorizontino
- 47′José Luiz dos Santos JúniorItapemirim
- 90′Vinicius LeandroNovorizontino
Official lineup for Novorizontino vs Itapemirim
The starting elevens fielded at kick-off.
Novorizontino
- FFranci
- CCléo Silva
- EElvinho
- AAdilson Goiano
- DDiogo Marzagão
- GGuilherme Teixeira
- VVinicius Leandro
- LLucas Néwiton
- JJocinei Schad
- RReverson
- OOliveira
Itapemirim
- EEraldo
- UUalisson Henrique de Oliveira
- FFabiano
- FFranklin
- JJosé Luiz dos Santos Júnior
- MMarcos Felipe
- VVitor Ferreira Pinheiro
- RRhayne
- KKleber Viana
- PPaulinho
- RRodrigo Souza dos Santos
What is the recent form of both teams?
Over their last 2 matches in all competitions, Novorizontino have 0 wins, 2 draws and 0 defeats; Itapemirim have 0, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2018 | Uberlandia(home) | 1-1 | Serie D |
| Apr 23, 2018 | Americano Campos(away) | 2-2 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2018 | Americano Campos(home) | 0-0 | Serie D |
| Apr 22, 2018 | Uberlandia(away) | 0-1 | Serie D |
| Feb 7, 2018 | Remo(home) | 0-2 | Copa Do Brasil |
How many goals should we expect?
Novorizontino score 1.5 and concede 1.5 goals per match over their last 2; Itapemirim score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Novorizontino | 1.5 | 1.5 | 0 | 2/2 | 1/2 |
| Itapemirim | 0.0 | 1.0 | 1 | 0/3 | 0/3 |
Over the last 2 matches in all competitions.
A question about Novorizontino vs Itapemirim?
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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