Rampla Juniors vs Villa Espanola: result 2-2 and analysis
Segunda División1st Phase - 1Kick-off on October 24, 2015 at 07:30 PM (UTC)Estadio Olímpico, Montevideo
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What was the result of Rampla Juniors vs Villa Espanola?
Rampla Juniors and Villa Espanola drew 2-2 on October 24, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rampla Juniors have 4 wins, 2 draws and 9 defeats; Villa Espanola have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2015 | Defensor Sporting(home) | 0-0 | Primera División - Clausura |
| May 31, 2015 | Tacuarembo(away) | 2-4 | Primera División - Clausura |
| May 24, 2015 | Juventud(home) | 1-3 | Primera División - Clausura |
| May 16, 2015 | Cerro(away) | 0-2 | Primera División - Clausura |
| May 3, 2015 | Penarol(home) | 0-2 | Primera División - Clausura |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2015 | Liverpool Montevideo(home) | 5-2 | Segunda División |
| May 20, 2015 | Atletico Torque(away) | 4-1 | Segunda División |
| May 5, 2015 | Villa Teresa(home) | 1-1 | Segunda División |
| Apr 29, 2015 | Miramar(away) | 1-2 | Segunda División |
| Apr 26, 2015 | Cerro Largo(home) | 2-0 | Segunda División |
How many goals should we expect?
Rampla Juniors score 1.2 and concede 1.9 goals per match over their last 15; Villa Espanola score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rampla Juniors | 1.2 | 1.9 | 3 | 8/15 | 9/15 |
| Villa Espanola | 1.9 | 1.4 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Rampla Juniors | 25 | 7 | 5 | 13 | 22 | 28 | 26 |
A question about Rampla Juniors vs Villa Espanola?
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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