Jēkabpils vs Auda: prediction and stats
1. LigaRegular Season - 21Kick-off on September 23, 2017 at 12:00 AM (UTC)Jēkabpils SC stadions, Jēkabpils
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jēkabpils have 4 wins, 1 draw and 10 defeats; Auda have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Staiceles Bebri(home) | 5-1 | 1. Liga |
| Sep 9, 2017 | RTU(away) | 3-2 | 1. Liga |
| Sep 2, 2017 | Tukums(home) | 2-3 | 1. Liga |
| Aug 26, 2017 | JDFS Alberts(away) | 0-1 | 1. Liga |
| Aug 19, 2017 | Smiltene(away) | 1-1 | 1. Liga |
What does the head-to-head say?
Across the last 6 meetings: 2 Jēkabpils wins, 0 draws, 4 Auda wins.
| Date | Score | Competition |
|---|---|---|
| Jun 4, 2017 | Auda 1-2 Jēkabpils | 1. Liga |
| Sep 24, 2016 | Jēkabpils 1-5 Auda | 1. Liga |
| May 21, 2016 | Auda 0-1 Jēkabpils | 1. Liga |
| Aug 15, 2015 | Jēkabpils 0-6 Auda | 1. Liga |
| Apr 18, 2015 | Auda 4-0 Jēkabpils | 1. Liga |
| Sep 6, 2014 | Auda 1-0 Jēkabpils | 1. Liga |
How many goals should we expect?
Jēkabpils score 1.9 and concede 4.5 goals per match over their last 15; Auda score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jēkabpils | 1.9 | 4.5 | 0 | 13/15 | 15/15 |
| Auda | 1.7 | 1.9 | 0 | 12/15 | 9/15 |
Over the last 15 matches in all competitions.
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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