Sayaxché vs Mixco: result 3-0 and analysis
Primera DivisionAperturaKick-off on September 15, 2013 at 05:00 PM (UTC)Estadio Municipal La Pasión, Sayaxché
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What was the result of Sayaxché vs Mixco?
Sayaxché won 3-0 on September 15, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sayaxché have 7 wins, 3 draws and 5 defeats; Mixco have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2013 | Antigua GFC(away) | 2-3 | Primera Division |
| Sep 1, 2013 | Zacapa(home) | 2-1 | Primera Division |
| Aug 25, 2013 | Sacachispas(away) | 0-2 | Primera Division |
| Aug 21, 2013 | Cobán Imperial(home) | 1-0 | Primera Division |
| Aug 18, 2013 | Jalapa(away) | 3-3 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2013 | Guastatoya(home) | 2-1 | Primera Division |
| Sep 1, 2013 | San Francisco(home) | 4-1 | Primera Division |
| Aug 25, 2013 | Antigua GFC(away) | 1-2 | Primera Division |
| Aug 21, 2013 | Zacapa(home) | 1-0 | Primera Division |
| Aug 18, 2013 | Sacachispas(away) | 0-1 | Primera Division |
What does the head-to-head say?
Across the last 4 meetings: 2 Sayaxché wins, 0 draws, 2 Mixco wins.
| Date | Score | Competition |
|---|---|---|
| Apr 7, 2013 | Sayaxché 2-0 Mixco | Primera Division |
| Feb 10, 2013 | Mixco 3-0 Sayaxché | Primera Division |
| Nov 4, 2012 | Sayaxché 2-0 Mixco | Primera Division |
| Sep 9, 2012 | Mixco 4-1 Sayaxché | Primera Division |
How many goals should we expect?
Sayaxché score 1.8 and concede 2.1 goals per match over their last 15; Mixco score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sayaxché | 1.8 | 2.1 | 2 | 12/15 | 10/15 |
| Mixco | 1.4 | 1.9 | 3 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Sayaxché vs Mixco?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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