Sol de Mayo vs Sansinena: result 1-3 and analysis
Torneo Federal AZone 1 - 4Kick-off on September 23, 2018 at 06:00 PM (UTC)Estadio Sol De Mayo, Viedma, Provincia de Río Negro
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What was the result of Sol de Mayo vs Sansinena?
Sansinena won 1-3 on September 23, 2018.
Goalscorers
- 39′N. PalacioSansinena (pen.)
- 45′58290Sansinena
- 90′G. JaraSansinena
- 90′H. MoralesSol de Mayo
What is the recent form of both teams?
Over their last 12 matches in all competitions, Sol de Mayo have 7 wins, 1 draws and 4 defeats; Sansinena have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2018 | Deportivo Madryn(away) | 1-2 | Torneo Federal A |
| Sep 15, 2018 | Ferro Carril Oeste LP(home) | 2-1 | Torneo Federal A |
| Sep 9, 2018 | Deportivo Roca(away) | 2-2 | Torneo Federal A |
| Feb 4, 2018 | Deportivo Rincon(home) | 2-0 | Copa Argentina |
| Jan 28, 2018 | Deportivo Rincon(away) | 1-5 | Copa Argentina |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | Deportivo Madryn(home) | 0-0 | Torneo Federal A |
| Sep 9, 2018 | Ferro Carril Oeste LP(away) | 1-1 | Torneo Federal A |
| Mar 25, 2018 | Deportivo Madryn(away) | 0-1 | Torneo Federal A |
| Mar 18, 2018 | Independiente Neuquén(home) | 0-0 | Torneo Federal A |
| Mar 7, 2018 | Rivadavia Lincoln(away) | 2-0 | Torneo Federal A |
How many goals should we expect?
Sol de Mayo score 1.7 and concede 1.4 goals per match over their last 12; Sansinena score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sol de Mayo | 1.7 | 1.4 | 4 | 7/12 | 9/12 |
| Sansinena | 0.9 | 0.8 | 7 | 4/15 | 5/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Sol de Mayo | 12 | 3 | 5 | 4 | 9 | 10 | 14 |
| 28 | Sol de Mayo | 16 | 4 | 6 | 6 | 15 | 18 | 18 |
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