Gimnasia L.P. vs San Lorenzo: prediction and stats
Copa ArgentinaQuarter FinalsKick-off on November 17, 2016 at 11:10 PM (UTC)Estadio Juan Carmelo Zerillo, La Plata, Provincia de Buenos Aires
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What is the recent form of both teams?
Over their last 15 matches in all competitions, Gimnasia L.P. have 7 wins, 3 draws and 5 defeats; San Lorenzo have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2016 | Boca Juniors(home) | 0-3 | Liga Profesional Argentina |
| Oct 29, 2016 | Independiente(away) | 0-0 | Liga Profesional Argentina |
| Oct 23, 2016 | Huracan(home) | 1-0 | Liga Profesional Argentina |
| Oct 19, 2016 | Racing Club(away) | 1-0 | Copa Argentina |
| Oct 16, 2016 | Newells Old Boys(away) | 0-1 | Liga Profesional Argentina |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2016 | Huracan(home) | 2-0 | Liga Profesional Argentina |
| Oct 30, 2016 | Newells Old Boys(away) | 2-2 | Liga Profesional Argentina |
| Oct 23, 2016 | Estudiantes L.P.(home) | 1-2 | Liga Profesional Argentina |
| Oct 16, 2016 | Arsenal Sarandi(away) | 3-1 | Liga Profesional Argentina |
| Oct 12, 2016 | Godoy Cruz(away) | 3-1 | Copa Argentina |
What does the head-to-head say?
Across the last 1 meetings: 0 Gimnasia L.P. win(s), 0 draw(s), 1 San Lorenzo win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2015 | San Lorenzo 1-0 Gimnasia L.P. | Liga Profesional Argentina |
Last archived meeting: San Lorenzo vs Gimnasia L.P. on Aug 1, 2015
How many goals should we expect?
Gimnasia L.P. score 1.1 and concede 0.8 goals per match over their last 15; San Lorenzo score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gimnasia L.P. | 1.1 | 0.8 | 7 | 4/15 | 5/15 |
| San Lorenzo | 2.0 | 1.0 | 4 | 11/15 | 10/15 |
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