Tukums vs JDFS Alberts: result 1-0 and analysis
1. LigaRegular Season - 24Kick-off on September 26, 2015 at 12:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs JDFS Alberts?
Tukums won 1-0 on September 26, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 6 wins, 1 draw and 8 defeats; JDFS Alberts have 6, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2015 | Staiceles Bebri(home) | 1-0 | 1. Liga |
| Sep 12, 2015 | Rēzekne FA(home) | 2-3 | 1. Liga |
| Sep 5, 2015 | Salaspils(away) | 3-2 | 1. Liga |
| Aug 29, 2015 | Riga(home) | 0-3 | 1. Liga |
| Aug 22, 2015 | Ogre(home) | 0-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2015 | Smiltene(home) | 2-1 | 1. Liga |
| Sep 12, 2015 | Staiceles Bebri(home) | 1-2 | 1. Liga |
| Sep 5, 2015 | Rēzekne FA(away) | 0-1 | 1. Liga |
| Aug 29, 2015 | Salaspils(home) | 0-1 | 1. Liga |
| Aug 22, 2015 | Riga(away) | 0-5 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Tukums wins, 0 draws, 1 JDFS Alberts win.
| Date | Score | Competition |
|---|---|---|
| May 23, 2015 | JDFS Alberts 2-0 Tukums | 1. Liga |
Last archived meeting: JDFS Alberts vs Tukums on May 23, 2015
How many goals should we expect?
Tukums score 1.9 and concede 2.1 goals per match over their last 15; JDFS Alberts score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 1.9 | 2.1 | 3 | 8/15 | 9/15 |
| JDFS Alberts | 1.0 | 1.7 | 3 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 22 | 12 | 4 | 6 | 44 | 31 | 40 |
A question about Tukums vs JDFS Alberts?
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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