Sportivo Carapeguá vs Club Sp. San Lorenzo: result 0-0 and analysis
Division IntermediaRegular Season - 15Kick-off on July 2, 2023 at 02:00 PM (UTC)Estadio Municipal de Carapeguá, Carapeguá
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What was the result of Sportivo Carapeguá vs Club Sp. San Lorenzo?
Sportivo Carapeguá and Club Sp. San Lorenzo drew 0-0 on July 2, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sportivo Carapeguá have 4 wins, 5 draws and 6 defeats; Club Sp. San Lorenzo have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2023 | Atyrá(away) | 1-2 | Division Intermedia |
| Jun 19, 2023 | Pastoreo(home) | 1-2 | Division Intermedia |
| Jun 15, 2023 | Club River Plate(away) | 3-2 | Copa Paraguay |
| Jun 9, 2023 | Deportivo Santani(away) | 1-3 | Division Intermedia |
| Jun 5, 2023 | Atlético Colegiales(home) | 0-0 | Division Intermedia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2023 | Rubio NU(home) | 2-0 | Division Intermedia |
| Jun 18, 2023 | 24 de Setiembre(away) | 1-1 | Division Intermedia |
| Jun 13, 2023 | 12 de Octubre SD(away) | 1-0 | Copa Paraguay |
| Jun 10, 2023 | 12 de Octubre(home) | 1-1 | Division Intermedia |
| Jun 5, 2023 | 2 de Mayo(away) | 1-2 | Division Intermedia |
How many goals should we expect?
Sportivo Carapeguá score 1.1 and concede 1.3 goals per match over their last 15; Club Sp. San Lorenzo score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sportivo Carapeguá | 1.1 | 1.3 | 5 | 8/15 | 7/15 |
| Club Sp. San Lorenzo | 1.1 | 0.8 | 7 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Sportivo Carapeguá | 20 | 7 | 4 | 9 | 23 | 34 | 25 |
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