Smiltene vs Grobiņa: result 6-2 and analysis
1. LigaRegular Season - 6Kick-off on May 11, 2019 at 11:00 AM (UTC)Tepera stadions, Smiltene
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What was the result of Smiltene vs Grobiņa?
Smiltene won 6-2 on May 11, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smiltene have 6 wins, 4 draws and 5 defeats; Grobiņa have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | JDFS Alberts(home) | 3-3 | 1. Liga |
| Apr 27, 2019 | Tukums(home) | 2-5 | 1. Liga |
| Apr 20, 2019 | Super Nova(away) | 0-3 | 1. Liga |
| Apr 13, 2019 | Dinamo Rīga / Staicele(home) | 3-0 | 1. Liga |
| Apr 6, 2019 | Auda(home) | 2-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Rēzekne FA(away) | 0-5 | 1. Liga |
| Apr 27, 2019 | New Project(away) | 0-6 | 1. Liga |
| Apr 20, 2019 | Balvu(home) | 9-1 | 1. Liga |
| Apr 14, 2019 | Auda(away) | 1-3 | 1. Liga |
| Apr 6, 2019 | JDFS Alberts(away) | 2-1 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 2 Smiltene win(s), 0 draw(s), 2 Grobiņa win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2018 | Grobiņa 4-5 Smiltene | 1. Liga |
| May 5, 2018 | Smiltene 5-3 Grobiņa | 1. Liga |
| Aug 5, 2017 | Grobiņa 5-1 Smiltene | 1. Liga |
| Apr 15, 2017 | Smiltene 0-2 Grobiņa | 1. Liga |
How many goals should we expect?
Smiltene score 2.5 and concede 2.9 goals per match over their last 15; Grobiņa score 2.1 and concede 3.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smiltene | 2.5 | 2.9 | 2 | 10/15 | 14/15 |
| Grobiņa | 2.1 | 3.7 | 0 | 9/15 | 15/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Smiltene | 10 | 0 | 4 | 6 | 9 | 27 | 4 |
| 13 | Smiltene | 17 | 2 | 4 | 11 | 21 | 47 | 10 |
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