San Francisco vs Sayaxché: result 2-3 and analysis
Primera DivisionClausuraKick-off on January 13, 2013 at 06:00 PM (UTC)
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What was the result of San Francisco vs Sayaxché?
Sayaxché won 2-3 on January 13, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, San Francisco have 8 wins, 2 draws and 5 defeats; Sayaxché have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2012 | Coatepeque(away) | 0-3 | Primera Division |
| Dec 5, 2012 | Coatepeque(home) | 2-0 | Primera Division |
| Dec 2, 2012 | Aurora(home) | 1-0 | Primera Division |
| Nov 25, 2012 | Aurora(away) | 0-0 | Primera Division |
| Nov 18, 2012 | Sacachispas(home) | 2-1 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2012 | Carchá(away) | 1-1 | Primera Division |
| Nov 11, 2012 | Achuapa(home) | 3-0 | Primera Division |
| Nov 4, 2012 | Mixco(home) | 2-0 | Primera Division |
| Nov 2, 2012 | Sacachispas(away) | 1-3 | Primera Division |
| Oct 28, 2012 | Cobán Imperial(home) | 2-1 | Primera Division |
What does the head-to-head say?
Across the last 2 meetings: 1 San Francisco win, 1 draw, 0 Sayaxché wins.
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2012 | San Francisco 1-0 Sayaxché | Primera Division |
| Aug 5, 2012 | Sayaxché 1-1 San Francisco | Primera Division |
Last archived meeting: San Francisco vs Sayaxché on Oct 7, 2012
How many goals should we expect?
San Francisco score 0.9 and concede 1.3 goals per match over their last 15; Sayaxché score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Francisco | 0.9 | 1.3 | 7 | 4/15 | 8/15 |
| Sayaxché | 1.5 | 1.2 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about San Francisco vs Sayaxché?
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