Grobiņa vs Smiltene: result 2-0 and analysis
CupPlay-off RoundKick-off on June 22, 2022 at 03:00 PM (UTC)Grobiņas stadionā, Grobiņa
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What was the result of Grobiņa vs Smiltene?
Grobiņa won 2-0 on June 22, 2022.
Goalscorers
- 35′?Grobiņa
- 56′?Grobiņa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grobiņa have 9 wins, 2 draws and 4 defeats; Smiltene have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2022 | Smiltene(away) | 4-0 | 1. Liga |
| Jun 12, 2022 | Progress / AFA Olaine(away) | 8-2 | Cup |
| May 29, 2022 | JDFS Alberts(home) | 1-0 | 1. Liga |
| May 22, 2022 | Dinamo Rīga(away) | 3-0 | 1. Liga |
| May 15, 2022 | Saldus SS/Leevon(home) | 4-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2022 | Grobiņa(home) | 0-4 | 1. Liga |
| Jun 11, 2022 | Mārupe(away) | 3-3 | Cup |
| May 28, 2022 | FS Jelgava(away) | 0-1 | 1. Liga |
| May 22, 2022 | Rēzekne FA(home) | 3-3 | 1. Liga |
| May 14, 2022 | Rīgas FS II(away) | 1-5 | 1. Liga |
What does the head-to-head say?
Across the last 6 meetings: 2 Grobiņa win(s), 1 draw(s), 3 Smiltene win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 19, 2022 | Smiltene 0-4 Grobiņa | 1. Liga |
| Oct 2, 2021 | Smiltene 2-2 Grobiņa | 1. Liga |
| Jul 24, 2021 | Grobiņa 1-2 Smiltene | 1. Liga |
| Sep 12, 2020 | Grobiņa 6-1 Smiltene | 1. Liga |
| Jul 4, 2020 | Smiltene 2-0 Grobiņa | 1. Liga |
| Oct 19, 2019 | Smiltene 5-0 Grobiņa | 1. Liga |
How many goals should we expect?
Grobiņa score 2.9 and concede 1.6 goals per match over their last 15; Smiltene score 1.5 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grobiņa | 2.9 | 1.6 | 5 | 8/15 | 13/15 |
| Smiltene | 1.5 | 2.9 | 0 | 12/15 | 13/15 |
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