Preiļu BJSS vs Ogre: result 3-1 and analysis
1. LigaRegular Season - 21Kick-off on September 4, 2016 at 12:00 PM (UTC)Preiļu stadions, Preiļi
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What was the result of Preiļu BJSS vs Ogre?
Preiļu BJSS won 3-1 on September 4, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Preiļu BJSS have 3 wins, 1 draw and 11 defeats; Ogre have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Olaine / Super Nova(home) | 0-2 | 1. Liga |
| Aug 21, 2016 | JDFS Alberts(home) | 3-2 | 1. Liga |
| Aug 14, 2016 | Auda(home) | 0-5 | 1. Liga |
| Aug 7, 2016 | Babīte(home) | 1-7 | 1. Liga |
| Jul 30, 2016 | RTU(home) | 1-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Auda(home) | 2-4 | 1. Liga |
| Aug 21, 2016 | Babīte(home) | 0-4 | 1. Liga |
| Aug 14, 2016 | RTU(home) | 1-2 | 1. Liga |
| Jul 30, 2016 | Skonto(away) | 1-4 | 1. Liga |
| Jul 24, 2016 | Rēzekne FA(home) | 2-4 | 1. Liga |
What does the head-to-head say?
Across the last 5 meetings: 1 Preiļu BJSS win, 1 draw, 3 Ogre wins.
| Date | Score | Competition |
|---|---|---|
| May 4, 2016 | Ogre 1-0 Preiļu BJSS | 1. Liga |
| Sep 12, 2015 | Preiļu BJSS 2-5 Ogre | 1. Liga |
| May 9, 2015 | Ogre 2-2 Preiļu BJSS | 1. Liga |
| Aug 3, 2014 | Preiļu BJSS 0-2 Ogre | 1. Liga |
| Apr 6, 2014 | Ogre 1-4 Preiļu BJSS | 1. Liga |
How many goals should we expect?
Preiļu BJSS score 1.1 and concede 2.7 goals per match over their last 15; Ogre score 1.5 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Preiļu BJSS | 1.1 | 2.7 | 2 | 7/15 | 9/15 |
| Ogre | 1.5 | 2.7 | 4 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Preiļu BJSS vs Ogre?
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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