1625 Liepāja vs Tukums: result 0-0 and analysis
1. LigaRegular Season - 13Kick-off on July 3, 2013 at 04:00 PM (UTC)Stadions Daugava mākslīgas laukums, Liepāja
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What was the result of 1625 Liepāja vs Tukums?
1625 Liepāja and Tukums drew 0-0 on July 3, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, 1625 Liepāja have 3 wins, 3 draws and 9 defeats; Tukums 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 |
|---|---|---|---|
| Jun 22, 2013 | FK Jūrmala II(away) | 3-2 | 1. Liga |
| Jun 16, 2013 | Liepājas Metalurgs II(home) | 0-3 | 1. Liga |
| Jun 9, 2013 | Skonto II(away) | 1-6 | 1. Liga |
| Jun 2, 2013 | Metta II / Salaspils(home) | 0-2 | 1. Liga |
| May 25, 2013 | Ventspils II(away) | 1-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2013 | Rēzekne FA(home) | 4-2 | 1. Liga |
| Jun 15, 2013 | FK Jūrmala II(away) | 1-3 | 1. Liga |
| Jun 9, 2013 | SFK United(home) | 3-4 | 1. Liga |
| Jun 2, 2013 | Liepājas Metalurgs II(away) | 3-3 | 1. Liga |
| May 24, 2013 | Auda(away) | 2-1 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 1625 Liepāja wins, 0 draws, 0 Tukums wins.
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2012 | 1625 Liepāja 8-3 Tukums | 1. Liga |
| May 12, 2012 | Tukums 1-3 1625 Liepāja | 1. Liga |
Last archived meeting: 1625 Liepāja vs Tukums on Sep 1, 2012
How many goals should we expect?
1625 Liepāja score 1.4 and concede 2.7 goals per match over their last 15; Tukums score 1.5 and concede 3.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 1625 Liepāja | 1.4 | 2.7 | 0 | 10/15 | 12/15 |
| Tukums | 1.5 | 3.8 | 0 | 10/15 | 14/15 |
Over the last 15 matches in all competitions.
A question about 1625 Liepāja vs Tukums?
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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