America-RN vs Icasa: result 2-1 and analysis
Serie CRegular Season - 2Kick-off on May 24, 2015 at 07:00 PM (UTC)Arena das Dunas, Natal, Rio Grande do Norte
Full time
What was the result of America-RN vs Icasa?
America-RN won 2-1 on May 24, 2015.
Goalscorers
- 56′Max Brendon Costa PinheiroAmerica-RN
- 61′Thiago Jefferson da SilvaAmerica-RN
- 90′Marcelo AlvesIcasa
What is the recent form of both teams?
Over their last 15 matches in all competitions, America-RN have 5 wins, 3 draws and 7 defeats; Icasa have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2015 | Águia de Marabá(away) | 1-1 | Serie C |
| Nov 29, 2014 | Parana(away) | 1-4 | Serie B |
| Nov 21, 2014 | Nautico Recife(home) | 1-0 | Serie B |
| Nov 18, 2014 | Ponte Preta(away) | 2-2 | Serie B |
| Nov 15, 2014 | Icasa(home) | 2-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2015 | Fortaleza EC(home) | 0-2 | Serie C |
| Nov 29, 2014 | BOA(home) | 3-2 | Serie B |
| Nov 22, 2014 | Vasco DA Gama(away) | 1-1 | Serie B |
| Nov 18, 2014 | Parana(home) | 1-2 | Serie B |
| Nov 15, 2014 | America-RN(away) | 0-2 | Serie B |
What does the head-to-head say?
Across the last 4 meetings: 2 America-RN wins, 2 draws, 0 Icasa wins.
| Date | Score | Competition |
|---|---|---|
| Nov 15, 2014 | America-RN 2-0 Icasa | Serie B |
| Aug 16, 2014 | Icasa 0-2 America-RN | Serie B |
| Sep 10, 2013 | Icasa 1-1 America-RN | Serie B |
| May 28, 2013 | America-RN 1-1 Icasa | Serie B |
How many goals should we expect?
America-RN score 1.1 and concede 1.4 goals per match over their last 15; Icasa score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| America-RN | 1.1 | 1.4 | 5 | 8/15 | 7/15 |
| Icasa | 1.1 | 1.1 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about America-RN vs Icasa?
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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