Matonense vs USAC: result 2-2 and analysis
Paulista - A31st Phase - 3Kick-off on February 6, 2022 at 01:00 PM (UTC)Estádio Dr. Hudson Buck Pereira, Matão, São Paulo
Full time
What was the result of Matonense vs USAC?
Matonense and USAC drew 2-2 on February 6, 2022.
Goalscorers
- 44′Cleiton GrefeUSAC (o.g.)
- 49′João GabrielMatonense (pen.)
- 75′MadalenaUSAC
- 90′Isaac Oliveira PradoMatonense
Official lineup for Matonense vs USAC
The starting elevens fielded at kick-off.
Matonense
- VVictor Luis Romano
- JJoão Gabriel
- MMarcos Vinicius
- OOtavio
- CCleiton Grefe
- JJadson
- AAlisson Fernandes da Silva
- KKaio Cristian
- AAbuda
- JJoão Victor
- FFilipe Quintiliano Machado
USAC
- LLucas
- MMadalena
- MMatheus Serafim
- AAlan
- PPablo
- RRomário
- DDenis Leite
- JJuan
- MMatheus
- JJosé Leandro
- FFelipe
What is the recent form of both teams?
Over their last 2 matches in all competitions, Matonense have 0 wins, 1 draw and 1 defeat; USAC 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 |
|---|---|---|---|
| Feb 2, 2022 | Votuporanguense(away) | 0-3 | Paulista - A3 |
| Jan 30, 2022 | EC São Bernardo(home) | 2-2 | Paulista - A3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2022 | Sertãozinho(away) | 0-0 | Paulista - A3 |
| Jan 29, 2022 | São José EC(home) | 2-1 | Paulista - A3 |
How many goals should we expect?
Matonense score 1.0 and concede 2.5 goals per match over their last 2; USAC score 1.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matonense | 1.0 | 2.5 | 0 | 1/2 | 2/2 |
| USAC | 1.0 | 0.5 | 1 | 1/2 | 1/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | USAC | 15 | 1 | 2 | 12 | 10 | 28 | 5 |
A question about Matonense vs USAC?
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