JDFS Alberts vs 1625 Liepāja: result 1-5 and analysis
1. LigaMatchday 15Kick-off on July 25, 2015 at 01:00 PM (UTC)Energoautomātika Stadions, Riga
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What was the result of JDFS Alberts vs 1625 Liepāja?
1625 Liepāja won 1-5 on July 25, 2015.
What is the recent form of both teams?
Over their last 14 matches in all competitions, JDFS Alberts have 9 wins, 0 draws and 5 defeats; 1625 Liepāja have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | Saldus / Brocēnu(away) | 0-1 | 1. Liga |
| Jun 20, 2015 | Rīgas FS(home) | 0-3 | 1. Liga |
| Jun 13, 2015 | Preiļu BJSS(away) | 3-2 | 1. Liga |
| Jun 6, 2015 | Olaine / Super Nova(home) | 1-0 | 1. Liga |
| May 30, 2015 | Auda(away) | 2-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | Staiceles Bebri(home) | 7-0 | 1. Liga |
| Jun 20, 2015 | Rēzekne FA(away) | 2-3 | 1. Liga |
| Jun 13, 2015 | Salaspils(home) | 1-0 | 1. Liga |
| Jun 6, 2015 | Riga(away) | 0-0 | 1. Liga |
| May 30, 2015 | Ogre(home) | 3-2 | 1. Liga |
How many goals should we expect?
JDFS Alberts score 1.6 and concede 1.5 goals per match over their last 14; 1625 Liepāja score 3.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 1.6 | 1.5 | 4 | 6/14 | 9/14 |
| 1625 Liepāja | 3.2 | 1.1 | 7 | 8/15 | 11/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 26 | 14 | 5 | 7 | 55 | 37 | 47 |
A question about JDFS Alberts vs 1625 Liepāja?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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