RTU vs Jēkabpils: prediction and stats
1. LigaRegular Season - 24Kick-off on October 14, 2017 at 12:00 AM (UTC)Rīgas 49. vidusskolas sporta komplekss, Riga
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, RTU have 4 wins, 1 draw and 10 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 |
|---|---|---|---|
| Oct 7, 2017 | Staiceles Bebri(away) | 3-1 | 1. Liga |
| Sep 30, 2017 | Smiltene(away) | 4-2 | 1. Liga |
| Sep 23, 2017 | Tukums(home) | 3-1 | 1. Liga |
| Sep 16, 2017 | JDFS Alberts(away) | 1-2 | 1. Liga |
| Sep 9, 2017 | Auda(home) | 2-3 | 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?
Across the last 3 meetings: 1 RTU win, 1 draw, 1 Jēkabpils win.
| Date | Score | Competition |
|---|---|---|
| Jul 12, 2017 | Jēkabpils 3-3 RTU | 1. Liga |
| Sep 10, 2016 | Jēkabpils 0-8 RTU | 1. Liga |
| May 7, 2016 | RTU 1-2 Jēkabpils | 1. Liga |
How many goals should we expect?
RTU score 1.7 and concede 2.6 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 |
|---|---|---|---|---|---|
| RTU | 1.7 | 2.6 | 1 | 12/15 | 12/15 |
| Jēkabpils | 1.9 | 4.5 | 0 | 13/15 | 15/15 |
Over the last 15 matches in all competitions.
A question about RTU vs Jēkabpils?
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