1625 Liepāja vs Preiļu BJSS: result 4-0 and analysis
1. LigaRegular Season - 4Kick-off on April 25, 2015 at 01:00 PM (UTC)Stadions Daugava mākslīgas laukums, Liepāja
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What was the result of 1625 Liepāja vs Preiļu BJSS?
1625 Liepāja won 4-0 on April 25, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, 1625 Liepāja have 11 wins, 1 draw and 3 defeats; Preiļu BJSS have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2015 | Olaine / Super Nova(home) | 3-0 | 1. Liga |
| Apr 11, 2015 | Auda(away) | 2-4 | 1. Liga |
| Apr 5, 2015 | Tukums(home) | 3-1 | 1. Liga |
| Nov 8, 2014 | Rēzekne FA(home) | 6-1 | 1. Liga |
| Nov 1, 2014 | Pļaviņas / DM(away) | 5-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2015 | Saldus / Brocēnu(home) | 2-3 | 1. Liga |
| Apr 11, 2015 | Rīgas FS(away) | 0-8 | 1. Liga |
| Apr 4, 2015 | Smiltene(away) | 2-2 | 1. Liga |
| Nov 8, 2014 | Gulbene(away) | 0-7 | 1. Liga |
| Nov 1, 2014 | Valmiera / BSS(home) | 0-8 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 1625 Liepāja wins, 0 draws, 0 Preiļu BJSS wins.
| Date | Score | Competition |
|---|---|---|
| Aug 16, 2014 | Preiļu BJSS 0-3 1625 Liepāja | 1. Liga |
| Apr 19, 2014 | 1625 Liepāja 6-0 Preiļu BJSS | 1. Liga |
Last archived meeting: Preiļu BJSS vs 1625 Liepāja on Aug 16, 2014
How many goals should we expect?
1625 Liepāja score 3.1 and concede 1.5 goals per match over their last 15; Preiļu BJSS score 2.2 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 1625 Liepāja | 3.1 | 1.5 | 4 | 10/15 | 12/15 |
| Preiļu BJSS | 2.2 | 3.3 | 2 | 8/15 | 13/15 |
Over the last 15 matches in all competitions.
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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