Ogre vs Smiltene: result 2-0 and analysis
1. LigaRegular Season - 9Kick-off on May 22, 2016 at 01:00 PM (UTC)Ogres stadions, Ogre
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What was the result of Ogre vs Smiltene?
Ogre won 2-0 on May 22, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ogre have 4 wins, 1 draw and 10 defeats; Smiltene have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | JDFS Alberts(away) | 1-3 | 1. Liga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Olaine / Super Nova(home) | 1-0 | 1. Liga |
| May 8, 2016 | Preiļu BJSS(away) | 1-0 | 1. Liga |
| May 4, 2016 | Auda(away) | 1-4 | 1. Liga |
| Apr 30, 2016 | Babīte(away) | 0-2 | 1. Liga |
| Apr 23, 2016 | RTU(home) | 1-1 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 2 Ogre wins, 2 draws, 0 Smiltene wins.
| Date | Score | Competition |
|---|---|---|
| Oct 24, 2015 | Smiltene 2-3 Ogre | 1. Liga |
| Jun 21, 2015 | Ogre 3-3 Smiltene | 1. Liga |
| Sep 13, 2014 | Smiltene 1-1 Ogre | 1. Liga |
| May 17, 2014 | Ogre 7-0 Smiltene | 1. Liga |
How many goals should we expect?
Ogre score 1.3 and concede 2.1 goals per match over their last 15; Smiltene score 1.4 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ogre | 1.3 | 2.1 | 1 | 8/15 | 10/15 |
| Smiltene | 1.4 | 2.8 | 3 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Smiltene | 22 | 5 | 4 | 13 | 32 | 59 | 19 |
A question about Ogre vs Smiltene?
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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