America-RN vs Águia de Marabá: result 2-0 and analysis
Serie CMatchday 10Kick-off on August 2, 2015 at 09:30 PM (UTC)Arena das Dunas, Natal, Rio Grande do Norte
Full time
What was the result of America-RN vs Águia de Marabá?
America-RN won 2-0 on August 2, 2015.
Goalscorers
- 30′Antonio Adriano Antunes de PaulaAmerica-RN
- 55′Antonio Adriano Antunes de PaulaAmerica-RN
What is the recent form of both teams?
Over their last 15 matches in all competitions, America-RN have 7 wins, 3 draws and 5 defeats; Águia de Marabá have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2015 | Botafogo PB(away) | 0-1 | Serie C |
| Jul 19, 2015 | Confiança(home) | 2-0 | Serie C |
| Jul 11, 2015 | Cuiaba(home) | 2-1 | Serie C |
| Jul 4, 2015 | Fortaleza EC(away) | 0-1 | Serie C |
| Jun 27, 2015 | Vila Nova(away) | 1-0 | Serie C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 25, 2015 | Fortaleza EC(home) | 2-2 | Serie C |
| Jul 19, 2015 | Cuiaba(away) | 1-2 | Serie C |
| Jul 11, 2015 | Icasa(away) | 0-2 | Serie C |
| Jul 5, 2015 | ASA(home) | 1-2 | Serie C |
| Jun 28, 2015 | Botafogo PB(home) | 2-2 | Serie C |
What does the head-to-head say?
In the last meeting: 0 America-RN wins, 1 draw, 0 Águia de Marabá wins.
| Date | Score | Competition |
|---|---|---|
| May 17, 2015 | Águia de Marabá 1-1 America-RN | Serie C |
Last archived meeting: Águia de Marabá vs America-RN on May 17, 2015
How many goals should we expect?
America-RN score 1.2 and concede 1.3 goals per match over their last 15; Águia de Marabá score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| America-RN | 1.2 | 1.3 | 5 | 7/15 | 7/15 |
| Águia de Marabá | 1.3 | 1.3 | 1 | 13/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about America-RN vs Águia de Marabá?
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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