Chalatenango vs Águila: result 3-1 and analysis
Primera DivisionApertura - 7Kick-off on August 30, 2015 at 12:30 AM (UTC)Estadio Jose Gregorio Martínez, Chalatenango
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What was the result of Chalatenango vs Águila?
Chalatenango won 3-1 on August 30, 2015.
Goalscorers
- 8′J. GutiérrezÁguila
- 24′B. DíazChalatenango
- 30′B. DíazChalatenango
- 75′José Ricardo Figueroa SarmientoChalatenango
What is the recent form of both teams?
Over their last 6 matches in all competitions, Chalatenango have 0 wins, 3 draws and 3 defeats; Águila have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2015 | Dragon(away) | 0-2 | Primera Division |
| Aug 23, 2015 | Pasaquina(home) | 0-0 | Primera Division |
| Aug 16, 2015 | Juventud Independiente(away) | 0-2 | Primera Division |
| Aug 13, 2015 | Alianza(home) | 0-0 | Primera Division |
| Aug 9, 2015 | Atlético Marte(away) | 0-2 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2015 | Pasaquina(away) | 1-1 | Primera Division |
| Aug 23, 2015 | Alianza(home) | 2-2 | Primera Division |
| Aug 16, 2015 | Isidro Metapán(away) | 1-1 | Primera Division |
| Aug 13, 2015 | UES(home) | 1-0 | Primera Division |
| Aug 9, 2015 | Sonsonate(away) | 3-0 | Primera Division |
How many goals should we expect?
Chalatenango score 0.2 and concede 1.2 goals per match over their last 6; Águila score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chalatenango | 0.2 | 1.2 | 2 | 1/6 | 0/6 |
| Águila | 1.1 | 1.1 | 5 | 7/15 | 6/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Águila | 15 | 6 | 5 | 4 | 25 | 18 | 23 |
A question about Chalatenango vs Águila?
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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