Tukums vs Ventspils II: result 1-2 and analysis
1. LigaRegular Season - 23Kick-off on October 20, 2012 at 01:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
Full time
What was the result of Tukums vs Ventspils II?
Ventspils II won 1-2 on October 20, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 3 wins, 1 draw and 11 defeats; Ventspils II have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2012 | Jelgava II(home) | 3-1 | 1. Liga |
| Sep 29, 2012 | Rīgas FS(away) | 1-3 | 1. Liga |
| Sep 22, 2012 | Rēzekne FA(home) | 3-2 | 1. Liga |
| Sep 15, 2012 | Auda(away) | 2-1 | 1. Liga |
| Sep 8, 2012 | BFC Daugavpils(home) | 0-5 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2012 | Valmiera / BSS(home) | 5-0 | 1. Liga |
| Oct 7, 2012 | Skonto II(away) | 1-3 | 1. Liga |
| Oct 4, 2012 | Auda(away) | 0-0 | 1. Liga |
| Oct 1, 2012 | Ilukstes NSS(home) | 4-0 | 1. Liga |
| Sep 23, 2012 | Spartaks II(away) | 1-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Tukums wins, 0 draws, 1 Ventspils II win.
| Date | Score | Competition |
|---|---|---|
| Jul 15, 2012 | Ventspils II 2-0 Tukums | 1. Liga |
Last archived meeting: Ventspils II vs Tukums on Jul 15, 2012
How many goals should we expect?
Tukums score 1.3 and concede 4.7 goals per match over their last 15; Ventspils II score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 1.3 | 4.7 | 0 | 9/15 | 13/15 |
| Ventspils II | 1.9 | 1.1 | 8 | 5/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Tukums vs Ventspils II?
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