Auda vs Grobiņa: result 3-0 and analysis
1. LigaRegular Season - 18Kick-off on September 22, 2018 at 11:00 AM (UTC)Mežaparks Sports Village, Riga
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What was the result of Auda vs Grobiņa?
Auda won 3-0 on September 22, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Auda have 5 wins, 1 draw and 9 defeats; Grobiņa have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | Super Nova(away) | 0-3 | 1. Liga |
| Sep 8, 2018 | Tukums(away) | 2-3 | 1. Liga |
| Aug 25, 2018 | Smiltene(away) | 0-7 | 1. Liga |
| Aug 18, 2018 | Daugavpils / Progress(home) | 0-6 | 1. Liga |
| Aug 11, 2018 | JDFS Alberts(away) | 2-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | Staiceles Bebri(home) | 4-3 | 1. Liga |
| Sep 8, 2018 | Super Nova(home) | 0-9 | 1. Liga |
| Aug 25, 2018 | Tukums(home) | 0-5 | 1. Liga |
| Aug 18, 2018 | Smiltene(home) | 4-5 | 1. Liga |
| Aug 11, 2018 | Daugavpils / Progress(away) | 0-9 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 1 Auda win, 0 draws, 2 Grobiņa wins.
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2018 | Grobiņa 0-2 Auda | 1. Liga |
| Aug 12, 2017 | Grobiņa 3-1 Auda | 1. Liga |
| Apr 22, 2017 | Auda 1-2 Grobiņa | 1. Liga |
How many goals should we expect?
Auda score 1.5 and concede 3.1 goals per match over their last 15; Grobiņa score 1.6 and concede 4.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Auda | 1.5 | 3.1 | 1 | 9/15 | 13/15 |
| Grobiņa | 1.6 | 4.0 | 1 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Auda vs Grobiņa?
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