Academia vs Cacerense: result 4-1 and analysis
Matogrossense1st Round - 8Kick-off on February 26, 2023 at 08:00 PM (UTC)Estádio Municipal Engenheiro Luthero Lopes, Rondonópolis, Mato Grosso
Full time
What was the result of Academia vs Cacerense?
Academia won 4-1 on February 26, 2023.
Goalscorers
- 6′?Academia
- 65′?Academia
- 70′?Academia
- 75′?Academia
- 80′?Cacerense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Academia have 2 wins, 6 draws and 7 defeats; Cacerense have 2, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2023 | CEOV Operário(away) | 2-2 | Matogrossense |
| Feb 12, 2023 | Mixto(home) | 1-1 | Matogrossense |
| Feb 8, 2023 | Sport Sinop(away) | 2-1 | Matogrossense |
| Feb 5, 2023 | Nova Mutum EC(away) | 0-0 | Matogrossense |
| Feb 1, 2023 | Dom Bosco(home) | 0-1 | Matogrossense |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2023 | Dom Bosco(away) | 1-2 | Matogrossense |
| Feb 12, 2023 | Nova Mutum EC(home) | 1-0 | Matogrossense |
| Feb 8, 2023 | União Rondonópolis(away) | 0-1 | Matogrossense |
| Feb 5, 2023 | CEOV Operário(home) | 2-2 | Matogrossense |
| Feb 2, 2023 | Mixto(away) | 1-0 | Matogrossense |
How many goals should we expect?
Academia score 0.5 and concede 1.4 goals per match over their last 15; Cacerense score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Academia | 0.5 | 1.4 | 3 | 5/15 | 5/15 |
| Cacerense | 0.9 | 1.0 | 2 | 3/7 | 2/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Academia | 8 | 0 | 1 | 7 | 2 | 11 | 1 |
A question about Academia vs Cacerense?
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