1625 Liepāja vs Jēkabpils: result 7-2 and analysis
1. LigaRegular Season - 8Kick-off on May 16, 2015 at 12:00 PM (UTC)Stadions Daugava mākslīgas laukums, Liepāja
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What was the result of 1625 Liepāja vs Jēkabpils?
1625 Liepāja won 7-2 on May 16, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, 1625 Liepāja have 12 wins, 1 draw and 2 defeats; Jēkabpils have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2015 | Smiltene(home) | 7-2 | 1. Liga |
| May 4, 2015 | Saldus / Brocēnu(home) | 3-1 | 1. Liga |
| May 1, 2015 | Rīgas FS(home) | 0-0 | 1. Liga |
| Apr 25, 2015 | Preiļu BJSS(home) | 4-0 | 1. Liga |
| Apr 19, 2015 | Olaine / Super Nova(home) | 3-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2015 | Saldus / Brocēnu(home) | 0-0 | 1. Liga |
| May 4, 2015 | Rīgas FS(away) | 2-5 | 1. Liga |
| May 1, 2015 | Preiļu BJSS(home) | 5-0 | 1. Liga |
| Apr 25, 2015 | Olaine / Super Nova(away) | 0-5 | 1. Liga |
| Apr 18, 2015 | Auda(away) | 0-4 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 2 1625 Liepāja wins, 1 draw, 1 Jēkabpils win.
| Date | Score | Competition |
|---|---|---|
| Aug 23, 2014 | 1625 Liepāja 7-1 Jēkabpils | 1. Liga |
| Apr 26, 2014 | Jēkabpils 1-1 1625 Liepāja | 1. Liga |
| Aug 3, 2013 | Jēkabpils 0-3 1625 Liepāja | 1. Liga |
| Apr 7, 2013 | 1625 Liepāja 2-3 Jēkabpils | 1. Liga |
Last archived meeting: 1625 Liepāja vs Jēkabpils on Aug 23, 2014
How many goals should we expect?
1625 Liepāja score 3.1 and concede 0.9 goals per match over their last 15; Jēkabpils score 1.1 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 1625 Liepāja | 3.1 | 0.9 | 6 | 8/15 | 11/15 |
| Jēkabpils | 1.1 | 2.6 | 5 | 5/15 | 9/15 |
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