Ogre vs Jēkabpils: result 1-4 and analysis
1. LigaRegular Season - 11Kick-off on June 7, 2015 at 12:00 PM (UTC)Ogres stadions, Ogre
Full time
What was the result of Ogre vs Jēkabpils?
Jēkabpils won 1-4 on June 7, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ogre have 4 wins, 3 draws and 8 defeats; Jēkabpils have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2015 | 1625 Liepāja(away) | 2-3 | 1. Liga |
| May 23, 2015 | Saldus / Brocēnu(home) | 2-1 | 1. Liga |
| May 16, 2015 | Rīgas FS(away) | 0-8 | 1. Liga |
| May 9, 2015 | Preiļu BJSS(home) | 2-2 | 1. Liga |
| May 4, 2015 | Olaine / Super Nova(away) | 1-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2015 | Valmiera / BSS(home) | 4-3 | 1. Liga |
| May 24, 2015 | Smiltene(home) | 6-2 | 1. Liga |
| May 16, 2015 | 1625 Liepāja(away) | 2-7 | 1. Liga |
| May 9, 2015 | Saldus / Brocēnu(home) | 0-0 | 1. Liga |
| May 4, 2015 | Rīgas FS(away) | 2-5 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Ogre win, 0 draws, 1 Jēkabpils win.
| Date | Score | Competition |
|---|---|---|
| Aug 10, 2014 | Jēkabpils 3-2 Ogre | 1. Liga |
| Apr 13, 2014 | Ogre 7-0 Jēkabpils | 1. Liga |
How many goals should we expect?
Ogre score 1.7 and concede 2.6 goals per match over their last 15; Jēkabpils score 1.9 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ogre | 1.7 | 2.6 | 3 | 8/15 | 12/15 |
| Jēkabpils | 1.9 | 3.2 | 4 | 7/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Ogre vs Jēkabpils?
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