Pasaquina vs Atlético Marte: result 1-0 and analysis
Primera DivisionClausura - 7Kick-off on February 18, 2015 at 08:30 PM (UTC)Estadio San Sebastian, Pasaquina
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What was the result of Pasaquina vs Atlético Marte?
Pasaquina won 1-0 on February 18, 2015.
Goalscorers
- 47′K. SamuelPasaquina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pasaquina have 3 wins, 4 draws and 8 defeats; Atlético Marte have 1, 7 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2015 | Dragon(away) | 0-1 | Primera Division |
| Feb 7, 2015 | Santa Tecla(home) | 1-2 | Primera Division |
| Feb 4, 2015 | Águila(home) | 2-1 | Primera Division |
| Feb 1, 2015 | FAS(away) | 0-0 | Primera Division |
| Jan 21, 2015 | Alianza(home) | 0-4 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2015 | FAS(home) | 1-2 | Primera Division |
| Feb 8, 2015 | Alianza(away) | 1-1 | Primera Division |
| Feb 4, 2015 | Juventud Independiente(home) | 2-3 | Primera Division |
| Jan 31, 2015 | UES(away) | 0-2 | Primera Division |
| Jan 25, 2015 | Isidro Metapán(home) | 0-1 | Primera Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Pasaquina win(s), 0 draw(s), 2 Atlético Marte win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2014 | Atlético Marte 2-0 Pasaquina | Primera Division |
| Sep 17, 2014 | Pasaquina 0-3 Atlético Marte | Primera Division |
Last archived meeting: Atlético Marte vs Pasaquina on Oct 22, 2014
How many goals should we expect?
Pasaquina score 0.9 and concede 1.7 goals per match over their last 15; Atlético Marte score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pasaquina | 0.9 | 1.7 | 4 | 6/15 | 8/15 |
| Atlético Marte | 0.9 | 1.5 | 4 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy