Monte Azul vs Juventus: result 1-1 and analysis
Paulista - A2Regular Season - 3Kick-off on January 29, 2020 at 06:00 PM (UTC)Estádio Otacília Patrício Arroyo, Monte Azul Paulista, São Paulo
Full time
What was the result of Monte Azul vs Juventus?
Monte Azul and Juventus drew 1-1 on January 29, 2020.
Goalscorers
- 13′Gabriel InocêncioMonte Azul
- 28′Danilo Lopes CezarioJuventus
Official lineup for Monte Azul vs Juventus
The starting elevens fielded at kick-off.
Monte Azul
- JJhonatan Ribeiro
- MMarcos Paulo
- GGílson Adriano de Oliveira
- JJociano Soares Diogo
- LLeonardo Prado Farias
- JJoão Vitor dos Santos Silva
- LLucas Cezane
- GGabriel Inocêncio
- FFerrugem
- MMatheus Santos
- CCaio Bolonhin
Juventus
- MMarcelinho
- DDanilo Lopes Cezario
- LLeo Castro
- TThiago Jefferson da Silva
- GGil Paraíba
- TThiago Rocha Oliveira
- DDiego Sacoman
- PPaulo Henrique
- RRobson
- TThiago Câmara
- AAndré Dias
What is the recent form of both teams?
Over their last 2 matches in all competitions, Monte Azul have 1 win, 1 draw and 0 defeats; Juventus have 1, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 25, 2020 | São Caetano(away) | 1-1 | Paulista - A2 |
| Jan 22, 2020 | Rio Claro(home) | 2-0 | Paulista - A2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2020 | Sertãozinho(home) | 1-1 | Paulista - A2 |
| Jan 22, 2020 | Votuporanguense(away) | 4-0 | Paulista - A2 |
How many goals should we expect?
Monte Azul score 1.5 and concede 0.5 goals per match over their last 2; Juventus score 2.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Monte Azul | 1.5 | 0.5 | 1 | 1/2 | 0/2 |
| Juventus | 2.5 | 0.5 | 1 | 1/2 | 1/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
Monte Azul sit 14th in Paulista - A2 (12 points from 15 matches) and Juventus sit 7th (23 points from 15 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Juventus | 15 | 6 | 5 | 4 | 22 | 20 | 23 |
| 14 | Monte Azul | 15 | 2 | 6 | 7 | 17 | 22 | 12 |
A question about Monte Azul vs Juventus?
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