Santa Rita vs Aucas: result 1-0 and analysis
Liga Pro Serie BRegular Season - 12Kick-off on May 13, 2017 at 09:00 PM (UTC)Estádio 4 de Janeiro, Uíge
Full time
What was the result of Santa Rita vs Aucas?
Santa Rita won 1-0 on May 13, 2017.
Goalscorers
- 22′Arnaldo Antonio GaunaSanta Rita
What is the recent form of both teams?
Over their last 11 matches in all competitions, Santa Rita have 4 wins, 3 draws and 4 defeats; Aucas have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Aucas(away) | 1-3 | Liga Pro Serie B |
| Apr 29, 2017 | Tecnico Universitario(home) | 1-0 | Liga Pro Serie B |
| Apr 23, 2017 | America de Quito(away) | 1-1 | Liga Pro Serie B |
| Apr 15, 2017 | LDU Loja(home) | 1-0 | Liga Pro Serie B |
| Apr 13, 2017 | LDU Portoviejo(away) | 0-0 | Liga Pro Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Santa Rita(home) | 3-1 | Liga Pro Serie B |
| Apr 30, 2017 | LDU Portoviejo(away) | 0-2 | Liga Pro Serie B |
| Apr 23, 2017 | Mushuc Runa SC(home) | 4-1 | Liga Pro Serie B |
| Apr 16, 2017 | Gualaceo SC(away) | 0-1 | Liga Pro Serie B |
| Apr 13, 2017 | Imbabura(home) | 4-0 | Liga Pro Serie B |
What does the head-to-head say?
In the last meeting: 0 Santa Rita wins, 0 draws, 1 Aucas win.
| Date | Score | Competition |
|---|---|---|
| May 7, 2017 | Aucas 3-1 Santa Rita | Liga Pro Serie B |
How many goals should we expect?
Santa Rita score 0.8 and concede 0.8 goals per match over their last 11; Aucas score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Santa Rita | 0.8 | 0.8 | 5 | 4/11 | 2/11 |
| Aucas | 1.3 | 1.5 | 2 | 7/15 | 8/15 |
Over the last 11 matches in all competitions.
A question about Santa Rita vs Aucas?
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