Tukums vs New Project: result 1-0 and analysis
1. LigaRegular Season - 11Kick-off on July 6, 2019 at 02:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs New Project?
Tukums won 1-0 on July 6, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 11 wins, 0 draws and 4 defeats; New Project have 2, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2019 | Balvu(away) | 5-0 | 1. Liga |
| Jun 1, 2019 | Grobiņa(home) | 9-0 | 1. Liga |
| May 25, 2019 | JDFS Alberts(home) | 4-0 | 1. Liga |
| May 19, 2019 | Auda(home) | 3-0 | 1. Liga |
| May 11, 2019 | Super Nova(away) | 1-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2019 | Super Nova(home) | 0-0 | 1. Liga |
| Jun 1, 2019 | Dinamo Rīga / Staicele(home) | 4-0 | 1. Liga |
| May 25, 2019 | Smiltene(away) | 1-3 | 1. Liga |
| May 19, 2019 | Rēzekne FA(home) | 1-1 | 1. Liga |
| May 11, 2019 | Auda(away) | 0-1 | 1. Liga |
What does the head-to-head say?
In the last meeting: 1 Tukums win, 0 draws, 0 New Project wins.
| Date | Score | Competition |
|---|---|---|
| Apr 13, 2019 | New Project 1-2 Tukums | 1. Liga |
Last archived meeting: New Project vs Tukums on Apr 13, 2019
How many goals should we expect?
Tukums score 3.6 and concede 1.2 goals per match over their last 15; New Project score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 3.6 | 1.2 | 7 | 6/15 | 14/15 |
| New Project | 1.6 | 1.3 | 3 | 5/10 | 6/10 |
Over the last 15 matches in all competitions.
A question about Tukums vs New Project?
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