1625 Liepāja vs Gulbene: result 0-1 and analysis
1. LigaRegular Season - 23Kick-off on September 20, 2014 at 11:00 AM (UTC)Stadions Daugava mākslīgas laukums, Liepāja
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What was the result of 1625 Liepāja vs Gulbene?
Gulbene won 0-1 on September 20, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, 1625 Liepāja have 8 wins, 3 draws and 4 defeats; Gulbene have 12, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2014 | Valmiera / BSS(away) | 2-7 | 1. Liga |
| Sep 10, 2014 | SFK United(home) | 3-1 | 1. Liga |
| Aug 30, 2014 | Olaine / Super Nova(home) | 2-2 | 1. Liga |
| Aug 23, 2014 | Jēkabpils(home) | 7-1 | 1. Liga |
| Aug 16, 2014 | Preiļu BJSS(away) | 3-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2014 | Rīgas FS(home) | 5-0 | 1. Liga |
| Sep 7, 2014 | Ogre(home) | 3-0 | 1. Liga |
| Aug 30, 2014 | Smiltene(away) | 3-1 | 1. Liga |
| Aug 24, 2014 | Valmiera / BSS(home) | 3-2 | 1. Liga |
| Aug 16, 2014 | SFK United(home) | 5-1 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 0 1625 Liepāja wins, 1 draw, 2 Gulbene wins.
| Date | Score | Competition |
|---|---|---|
| May 25, 2014 | Gulbene 1-1 1625 Liepāja | 1. Liga |
| Sep 14, 2013 | Gulbene 1-0 1625 Liepāja | 1. Liga |
| May 19, 2013 | 1625 Liepāja 0-4 Gulbene | 1. Liga |
Last archived meeting: Gulbene vs 1625 Liepāja on May 25, 2014
How many goals should we expect?
1625 Liepāja score 2.7 and concede 1.6 goals per match over their last 15; Gulbene score 4.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 1625 Liepāja | 2.7 | 1.6 | 5 | 9/15 | 11/15 |
| Gulbene | 4.3 | 0.5 | 9 | 6/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about 1625 Liepāja vs Gulbene?
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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