1625 Liepāja vs Tukums: result 8-3 and analysis
1. LigaRegular Season - 16Kick-off on September 1, 2012 at 11:00 AM (UTC)Stadions Daugava mākslīgas laukums, Liepāja
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What was the result of 1625 Liepāja vs Tukums?
1625 Liepāja won 8-3 on September 1, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, 1625 Liepāja have 6 wins, 4 draws and 5 defeats; Tukums have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2012 | Valmiera / BSS(away) | 2-1 | 1. Liga |
| Aug 19, 2012 | Skonto II(home) | 0-1 | 1. Liga |
| Aug 12, 2012 | Ilukstes NSS(home) | 0-2 | 1. Liga |
| Aug 5, 2012 | Spartaks II(away) | 2-2 | 1. Liga |
| Jul 28, 2012 | Ventspils II(home) | 0-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2012 | Metta II / Salaspils(home) | 1-1 | 1. Liga |
| Aug 18, 2012 | Valmiera / BSS(home) | 3-9 | 1. Liga |
| Aug 12, 2012 | Skonto II(home) | 0-6 | 1. Liga |
| Aug 4, 2012 | Ilukstes NSS(away) | 0-13 | 1. Liga |
| Aug 1, 2012 | Liepājas Metalurgs II(home) | 0-7 | 1. Liga |
What does the head-to-head say?
In the last meeting: 1 1625 Liepāja win, 0 draws, 0 Tukums wins.
| Date | Score | Competition |
|---|---|---|
| May 12, 2012 | Tukums 1-3 1625 Liepāja | 1. Liga |
Last archived meeting: Tukums vs 1625 Liepāja on May 12, 2012
How many goals should we expect?
1625 Liepāja score 1.1 and concede 1.2 goals per match over their last 15; Tukums score 0.8 and concede 4.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 1625 Liepāja | 1.1 | 1.2 | 2 | 9/15 | 7/15 |
| Tukums | 0.8 | 4.4 | 0 | 8/15 | 13/15 |
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