Ogre vs Saldus / Brocēnu: result 1-0 and analysis
1. LigaRegular Season - 30Kick-off on November 8, 2014 at 11:30 AM (UTC)Ogres stadions, Ogre
Full time
What was the result of Ogre vs Saldus / Brocēnu?
Ogre won 1-0 on November 8, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ogre have 6 wins, 2 draws and 7 defeats; Saldus / Brocēnu 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 |
|---|---|---|---|
| Nov 1, 2014 | Tukums(away) | 0-7 | 1. Liga |
| Oct 26, 2014 | Rēzekne FA(home) | 1-3 | 1. Liga |
| Oct 18, 2014 | Pļaviņas / DM(away) | 8-0 | 1. Liga |
| Oct 12, 2014 | Auda(home) | 0-3 | 1. Liga |
| Oct 4, 2014 | Salaspils(away) | 1-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2014 | Gulbene(home) | 0-1 | 1. Liga |
| Oct 25, 2014 | Valmiera / BSS(away) | 0-3 | 1. Liga |
| Oct 18, 2014 | SFK United(home) | 3-2 | 1. Liga |
| Oct 12, 2014 | Olaine / Super Nova(away) | 0-2 | 1. Liga |
| Oct 4, 2014 | Jēkabpils(home) | 0-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 1 Ogre win, 0 draws, 0 Saldus / Brocēnu wins.
| Date | Score | Competition |
|---|---|---|
| Jul 26, 2014 | Saldus / Brocēnu 2-3 Ogre | 1. Liga |
Last archived meeting: Saldus / Brocēnu vs Ogre on Jul 26, 2014
How many goals should we expect?
Ogre score 2.1 and concede 1.8 goals per match over their last 15; Saldus / Brocēnu score 1.3 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ogre | 2.1 | 1.8 | 4 | 6/15 | 9/15 |
| Saldus / Brocēnu | 1.3 | 2.4 | 2 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Ogre vs Saldus / Brocēnu?
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