Ogre vs Progress / AFA Olaine: result 0-3 and analysis
1. LigaRegular Season - 9Kick-off on June 10, 2017 at 12:00 PM (UTC)Ogres stadions, Ogre
Full time
What was the result of Ogre vs Progress / AFA Olaine?
Progress / AFA Olaine won 0-3 on June 10, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ogre have 5 wins, 3 draws and 7 defeats; Progress / AFA Olaine have 4, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 13, 2017 | Valmiera / BSS(away) | 1-1 | 1. Liga |
| May 6, 2017 | Jēkabpils(home) | 9-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2017 | Rēzekne FA(home) | 1-1 | 1. Liga |
| May 27, 2017 | BFC Daugavpils(away) | 2-1 | 1. Liga |
| May 21, 2017 | Valmiera / BSS(home) | 1-1 | 1. Liga |
| May 13, 2017 | Jēkabpils(away) | 1-2 | 1. Liga |
| May 6, 2017 | Staiceles Bebri(home) | 3-1 | 1. Liga |
How many goals should we expect?
Ogre score 1.7 and concede 2.3 goals per match over their last 15; Progress / AFA Olaine score 1.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ogre | 1.7 | 2.3 | 3 | 10/15 | 10/15 |
| Progress / AFA Olaine | 1.6 | 0.9 | 2 | 5/8 | 4/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Progress / AFA Olaine | 26 | 6 | 4 | 16 | 39 | 88 | 22 |
A question about Ogre vs Progress / AFA Olaine?
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