Cuilapa vs Sacachispas: result 1-1 and analysis
Primera DivisionClausura - 7Kick-off on February 18, 2024 at 05:00 PM (UTC)
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What was the result of Cuilapa vs Sacachispas?
Cuilapa and Sacachispas drew 1-1 on February 18, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cuilapa have 3 wins, 3 draws and 9 defeats; Sacachispas have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2024 | Juventud Pinulteca(away) | 1-3 | Primera Division |
| Feb 7, 2024 | San Benito(home) | 1-1 | Primera Division |
| Feb 4, 2024 | Aurora(home) | 3-3 | Primera Division |
| Jan 27, 2024 | Universidad San Carlos(away) | 0-1 | Primera Division |
| Jan 21, 2024 | Heredia(home) | 0-1 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2024 | Aurora(home) | 0-1 | Primera Division |
| Feb 7, 2024 | Universidad San Carlos(away) | 1-3 | Primera Division |
| Feb 4, 2024 | Heredia(home) | 1-1 | Primera Division |
| Jan 28, 2024 | Mictlán(away) | 0-0 | Primera Division |
| Jan 21, 2024 | Deportivo Barberena(home) | 0-0 | Primera Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Cuilapa win, 0 draws, 1 Sacachispas win.
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2023 | Cuilapa 3-0 Sacachispas | Primera Division |
| Aug 6, 2023 | Sacachispas 1-0 Cuilapa | Primera Division |
Last archived meeting: Cuilapa vs Sacachispas on Sep 24, 2023
How many goals should we expect?
Cuilapa score 1.3 and concede 2.0 goals per match over their last 15; Sacachispas score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cuilapa | 1.3 | 2.0 | 2 | 8/15 | 7/15 |
| Sacachispas | 0.9 | 1.5 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Cuilapa vs Sacachispas?
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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