1625 Liepāja vs Olaine / Super Nova: result 2-2 and analysis
1. LigaMatchday 20Kick-off on August 30, 2014 at 01:00 PM (UTC)Stadions Daugava mākslīgas laukums, Liepāja
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What was the result of 1625 Liepāja vs Olaine / Super Nova?
1625 Liepāja and Olaine / Super Nova drew 2-2 on August 30, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, 1625 Liepāja have 10 wins, 2 draws and 3 defeats; Olaine / Super Nova 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 |
|---|---|---|---|
| Aug 23, 2014 | Jēkabpils(home) | 7-1 | 1. Liga |
| Aug 16, 2014 | Preiļu BJSS(away) | 3-0 | 1. Liga |
| Aug 9, 2014 | Saldus / Brocēnu(home) | 6-0 | 1. Liga |
| Aug 2, 2014 | Tukums(away) | 1-1 | 1. Liga |
| Jul 26, 2014 | Rēzekne FA(away) | 2-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2014 | Rīgas FS(away) | 1-3 | 1. Liga |
| Aug 16, 2014 | Ogre(home) | 0-3 | 1. Liga |
| Aug 10, 2014 | Gulbene(away) | 0-4 | 1. Liga |
| Aug 2, 2014 | Valmiera / BSS(home) | 2-0 | 1. Liga |
| Jul 26, 2014 | SFK United(home) | 1-1 | 1. Liga |
What does the head-to-head say?
In the last meeting: 1 1625 Liepāja win, 0 draws, 0 Olaine / Super Nova wins.
| Date | Score | Competition |
|---|---|---|
| May 5, 2014 | Olaine / Super Nova 2-4 1625 Liepāja | 1. Liga |
Last archived meeting: Olaine / Super Nova vs 1625 Liepāja on May 5, 2014
How many goals should we expect?
1625 Liepāja score 3.1 and concede 1.1 goals per match over their last 15; Olaine / Super Nova score 1.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 1625 Liepāja | 3.1 | 1.1 | 7 | 7/15 | 10/15 |
| Olaine / Super Nova | 1.3 | 2.5 | 4 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about 1625 Liepāja vs Olaine / Super Nova?
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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