Progress / AFA Olaine vs Jēkabpils: prediction and stats
1. LigaRegular Season - 18Kick-off on September 2, 2017 at 12:00 AM (UTC)Olaines stadions, Olaine
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Progress / AFA Olaine have 10 wins, 2 draws and 3 defeats; Jēkabpils have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2017 | Staiceles Bebri(away) | 1-0 | 1. Liga |
| Aug 19, 2017 | RTU(home) | 4-1 | 1. Liga |
| Aug 12, 2017 | Tukums(away) | 3-0 | 1. Liga |
| Aug 5, 2017 | JDFS Alberts(away) | 5-1 | 1. Liga |
| Jul 29, 2017 | Auda(home) | 1-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 12, 2017 | RTU(home) | 3-3 | 1. Liga |
| Jun 17, 2017 | Tukums(home) | 5-1 | 1. Liga |
| Jun 10, 2017 | JDFS Alberts(home) | 3-2 | 1. Liga |
| Jun 4, 2017 | Auda(away) | 2-1 | 1. Liga |
| May 27, 2017 | Grobiņa(home) | 1-3 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Progress / AFA Olaine wins, 0 draws, 1 Jēkabpils win.
| Date | Score | Competition |
|---|---|---|
| May 13, 2017 | Jēkabpils 2-1 Progress / AFA Olaine | 1. Liga |
Last archived meeting: Jēkabpils vs Progress / AFA Olaine on May 13, 2017
How many goals should we expect?
Progress / AFA Olaine score 2.2 and concede 0.9 goals per match over their last 15; Jēkabpils score 1.9 and concede 4.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Progress / AFA Olaine | 2.2 | 0.9 | 6 | 8/15 | 10/15 |
| Jēkabpils | 1.9 | 4.5 | 0 | 13/15 | 15/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Progress / AFA Olaine | 26 | 6 | 4 | 16 | 39 | 88 | 22 |
A question about Progress / AFA Olaine vs Jēkabpils?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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