Olaine / Super Nova vs Jēkabpils: result 3-0 and analysis
1. LigaRegular Season - 11Kick-off on June 5, 2016 at 03:00 PM (UTC)Olaines stadions, Olaine
Full time
What was the result of Olaine / Super Nova vs Jēkabpils?
Olaine / Super Nova won 3-0 on June 5, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Olaine / Super Nova have 6 wins, 3 draws and 6 defeats; Jēkabpils have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2016 | Staiceles Bebri(away) | 0-1 | 1. Liga |
| May 22, 2016 | Tukums(home) | 2-0 | 1. Liga |
| May 14, 2016 | Smiltene(away) | 0-1 | 1. Liga |
| May 8, 2016 | Ogre(home) | 6-0 | 1. Liga |
| May 4, 2016 | JDFS Alberts(home) | 3-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2016 | Preiļu BJSS(home) | 0-2 | 1. Liga |
| May 21, 2016 | Auda(away) | 1-0 | 1. Liga |
| May 14, 2016 | Babīte(home) | 1-6 | 1. Liga |
| May 7, 2016 | RTU(away) | 2-1 | 1. Liga |
| Apr 30, 2016 | Skonto(away) | 1-4 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 1 Olaine / Super Nova win, 2 draws, 1 Jēkabpils win.
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2015 | Jēkabpils 0-0 Olaine / Super Nova | 1. Liga |
| Apr 25, 2015 | Olaine / Super Nova 5-0 Jēkabpils | 1. Liga |
| Oct 25, 2014 | Olaine / Super Nova 0-2 Jēkabpils | 1. Liga |
| Jun 28, 2014 | Jēkabpils 2-2 Olaine / Super Nova | 1. Liga |
Last archived meeting: Jēkabpils vs Olaine / Super Nova on Aug 22, 2015
How many goals should we expect?
Olaine / Super Nova score 2.1 and concede 1.2 goals per match over their last 15; Jēkabpils score 1.2 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olaine / Super Nova | 2.1 | 1.2 | 7 | 5/15 | 8/15 |
| Jēkabpils | 1.2 | 3.5 | 2 | 10/15 | 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