Smiltene vs Ogre: result 1-1 and analysis
1. LigaRegular Season - 22Kick-off on September 13, 2014 at 01:00 PM (UTC)Tepera stadions, Smiltene
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What was the result of Smiltene vs Ogre?
Smiltene and Ogre drew 1-1 on September 13, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smiltene have 2 wins, 3 draws and 10 defeats; Ogre have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Tukums(home) | 0-5 | 1. Liga |
| Aug 30, 2014 | Gulbene(home) | 1-3 | 1. Liga |
| Aug 23, 2014 | Rēzekne FA(home) | 1-4 | 1. Liga |
| Aug 16, 2014 | Valmiera / BSS(home) | 0-1 | 1. Liga |
| Aug 9, 2014 | Pļaviņas / DM(home) | 8-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2014 | Gulbene(away) | 0-3 | 1. Liga |
| Aug 30, 2014 | Valmiera / BSS(away) | 0-1 | 1. Liga |
| Aug 24, 2014 | SFK United(home) | 9-1 | 1. Liga |
| Aug 16, 2014 | Olaine / Super Nova(away) | 3-0 | 1. Liga |
| Aug 10, 2014 | Jēkabpils(away) | 2-3 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Smiltene wins, 0 draws, 1 Ogre win.
| Date | Score | Competition |
|---|---|---|
| May 17, 2014 | Ogre 7-0 Smiltene | 1. Liga |
How many goals should we expect?
Smiltene score 1.1 and concede 2.8 goals per match over their last 15; Ogre score 2.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smiltene | 1.1 | 2.8 | 3 | 6/15 | 11/15 |
| Ogre | 2.4 | 1.4 | 4 | 5/15 | 8/15 |
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 Smiltene vs Ogre?
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