JDFS Alberts vs Ogre: result 3-1 and analysis
1. LigaRegular Season - 8Kick-off on May 14, 2016 at 10:00 AM (UTC)Upesciems pilsētas stadions, Upesciems
Full time
What was the result of JDFS Alberts vs Ogre?
JDFS Alberts won 3-1 on May 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 3 wins, 3 draws and 9 defeats; Ogre have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Rēzekne FA(away) | 0-3 | 1. Liga |
| May 4, 2016 | Olaine / Super Nova(away) | 0-3 | 1. Liga |
| Apr 30, 2016 | Saldus / Brocēnu(home) | 3-0 | 1. Liga |
| Apr 23, 2016 | Preiļu BJSS(home) | 2-0 | 1. Liga |
| Apr 16, 2016 | Valmiera / BSS(away) | 0-3 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Olaine / Super Nova(away) | 0-6 | 1. Liga |
| May 4, 2016 | Preiļu BJSS(home) | 1-0 | 1. Liga |
| Apr 30, 2016 | Auda(away) | 0-3 | 1. Liga |
| Apr 24, 2016 | Babīte(away) | 1-3 | 1. Liga |
| Apr 17, 2016 | RTU(away) | 0-1 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 JDFS Alberts win(s), 0 draw(s), 1 Ogre win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 16, 2015 | Ogre 2-0 JDFS Alberts | 1. Liga |
| Apr 18, 2015 | JDFS Alberts 2-0 Ogre | 1. Liga |
How many goals should we expect?
JDFS Alberts score 1.0 and concede 2.1 goals per match over their last 15; Ogre score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 1.0 | 2.1 | 2 | 7/15 | 11/15 |
| Ogre | 1.5 | 2.1 | 1 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 10 | 5 | 2 | 3 | 21 | 14 | 17 |
| 5 | JDFS Alberts | 17 | 9 | 4 | 4 | 35 | 24 | 31 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy