Tukums vs Jēkabpils: result 1-1 and analysis
1. LigaRegular Season - 24Kick-off on September 27, 2014 at 12:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs Jēkabpils?
Tukums and Jēkabpils drew 1-1 on September 27, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 7 wins, 4 draws and 4 defeats; Jēkabpils have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2014 | Preiļu BJSS(home) | 5-2 | 1. Liga |
| Sep 13, 2014 | Saldus / Brocēnu(home) | 4-0 | 1. Liga |
| Sep 6, 2014 | Smiltene(away) | 5-0 | 1. Liga |
| Aug 30, 2014 | Rēzekne FA(home) | 0-3 | 1. Liga |
| Aug 23, 2014 | Pļaviņas / DM(away) | 11-3 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2014 | Rēzekne FA(away) | 0-2 | 1. Liga |
| Sep 13, 2014 | Pļaviņas / DM(home) | 8-0 | 1. Liga |
| Sep 6, 2014 | Auda(away) | 0-1 | 1. Liga |
| Aug 30, 2014 | Salaspils(home) | 4-0 | 1. Liga |
| Aug 23, 2014 | 1625 Liepāja(away) | 1-7 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 2 Tukums wins, 1 draw, 0 Jēkabpils wins.
| Date | Score | Competition |
|---|---|---|
| May 31, 2014 | Jēkabpils 1-1 Tukums | 1. Liga |
| Aug 25, 2013 | Jēkabpils 2-4 Tukums | 1. Liga |
| Apr 28, 2013 | Tukums 4-1 Jēkabpils | 1. Liga |
How many goals should we expect?
Tukums score 3.1 and concede 1.9 goals per match over their last 15; Jēkabpils score 1.8 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 3.1 | 1.9 | 2 | 11/15 | 11/15 |
| Jēkabpils | 1.8 | 2.3 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Tukums vs Jēkabpils?
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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