Tukums vs Rēzekne FA: result 3-2 and analysis
1. LigaRegular Season - 19Kick-off on September 22, 2012 at 12:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
Full time
What was the result of Tukums vs Rēzekne FA?
Tukums won 3-2 on September 22, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 1 win, 1 draw and 13 defeats; Rēzekne FA have 4, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2012 | Auda(away) | 2-1 | 1. Liga |
| Sep 8, 2012 | BFC Daugavpils(home) | 0-5 | 1. Liga |
| Sep 1, 2012 | 1625 Liepāja(away) | 3-8 | 1. Liga |
| Aug 26, 2012 | Metta II / Salaspils(home) | 1-1 | 1. Liga |
| Aug 18, 2012 | Valmiera / BSS(home) | 3-9 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2012 | Valmiera / BSS(home) | 0-2 | 1. Liga |
| Sep 8, 2012 | Skonto II(away) | 1-2 | 1. Liga |
| Sep 1, 2012 | Ilukstes NSS(home) | 3-8 | 1. Liga |
| Aug 26, 2012 | Spartaks II(away) | 5-1 | 1. Liga |
| Aug 19, 2012 | Ventspils II(home) | 2-1 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Tukums wins, 0 draws, 1 Rēzekne FA win.
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2012 | Rēzekne FA 3-0 Tukums | 1. Liga |
How many goals should we expect?
Tukums score 0.9 and concede 4.9 goals per match over their last 15; Rēzekne FA score 1.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 0.9 | 4.9 | 0 | 7/15 | 13/15 |
| Rēzekne FA | 1.5 | 2.2 | 2 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Rēzekne FA | 21 | 1 | 3 | 17 | 17 | 64 | 6 |
A question about Tukums vs Rēzekne FA?
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