JDFS Alberts vs Ogre: prediction and stats
1. LigaRegular Season - 26Kick-off on October 28, 2017 at 12:00 AM (UTC)Upesciems pilsētas stadions, Upesciems
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 6 wins, 2 draws and 7 defeats; Ogre have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | Rēzekne FA(away) | 5-1 | 1. Liga |
| Oct 14, 2017 | BFC Daugavpils(away) | 0-3 | 1. Liga |
| Oct 7, 2017 | Valmiera / BSS(away) | 0-0 | 1. Liga |
| Sep 24, 2017 | Staiceles Bebri(away) | 1-0 | 1. Liga |
| Sep 16, 2017 | RTU(home) | 2-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2017 | Preiļu BJSS(away) | 2-5 | 1. Liga |
| Jun 10, 2017 | Progress / AFA Olaine(home) | 0-3 | 1. Liga |
| Jun 3, 2017 | Smiltene(away) | 1-3 | 1. Liga |
| May 27, 2017 | Rēzekne FA(away) | 2-0 | 1. Liga |
| May 20, 2017 | BFC Daugavpils(home) | 0-6 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 2 JDFS Alberts win(s), 0 draw(s), 2 Ogre win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 18, 2016 | Ogre 3-0 JDFS Alberts | 1. Liga |
| May 14, 2016 | JDFS Alberts 3-1 Ogre | 1. Liga |
| 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 1.1 and concede 1.5 goals per match over their last 15; Ogre score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 1.1 | 1.5 | 5 | 7/15 | 8/15 |
| Ogre | 1.7 | 2.3 | 3 | 9/15 | 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