Liepājas Metalurgs vs Daugava Rīga: result 1-0 and analysis
VirsligaRegular Season - 17Kick-off on July 1, 2012 at 03:00 PM (UTC)Stadions Daugava mākslīgas laukums, Liepāja
Full time
What was the result of Liepājas Metalurgs vs Daugava Rīga?
Liepājas Metalurgs won 1-0 on July 1, 2012.
Goalscorers
- 48′Pāvels MihadjuksLiepājas Metalurgs
What is the recent form of both teams?
Over their last 14 matches in all competitions, Liepājas Metalurgs have 6 wins, 4 draws and 4 defeats; Daugava Rīga have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2012 | Gulbene 2005(away) | 1-1 | Virsliga |
| Jun 21, 2012 | Daugavpils / Progress(home) | 2-0 | Virsliga |
| Jun 17, 2012 | Skonto(home) | 0-1 | Virsliga |
| Jun 6, 2012 | Spartaks Jurmala(away) | 2-2 | Virsliga |
| May 27, 2012 | FK Ventspils(home) | 0-0 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2012 | Skonto(home) | 1-1 | Virsliga |
| Jun 20, 2012 | Spartaks Jurmala(away) | 2-2 | Virsliga |
| Jun 17, 2012 | FK Ventspils(home) | 1-4 | Virsliga |
| Jun 7, 2012 | FC Jūrmala(away) | 1-1 | Virsliga |
| May 26, 2012 | Jelgava(home) | 1-0 | Virsliga |
What does the head-to-head say?
Across the last 1 meetings: 1 Liepājas Metalurgs win(s), 0 draw(s), 0 Daugava Rīga win(s).
| Date | Score | Competition |
|---|---|---|
| May 2, 2012 | Daugava Rīga 1-3 Liepājas Metalurgs | Virsliga |
Last archived meeting: Daugava Rīga vs Liepājas Metalurgs on May 2, 2012
How many goals should we expect?
Liepājas Metalurgs score 1.2 and concede 0.9 goals per match over their last 14; Daugava Rīga score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Liepājas Metalurgs | 1.2 | 0.9 | 7 | 5/14 | 4/14 |
| Daugava Rīga | 1.2 | 1.5 | 4 | 9/15 | 7/15 |
Over the last 14 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