Smiltene vs Tukums II: result 1-3 and analysis
1. LigaRegular Season - 13Kick-off on July 30, 2022 at 03:00 PM (UTC)Tepera stadions, Smiltene
Full time
What was the result of Smiltene vs Tukums II?
Tukums II won 1-3 on July 30, 2022.
Goalscorers
- 37′?Smiltene
- 48′?Tukums II
- 69′?Tukums II
- 83′?Tukums II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smiltene have 3 wins, 3 draws and 9 defeats; Tukums II have 2, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2022 | JDFS Alberts(away) | 0-6 | 1. Liga |
| Jul 16, 2022 | Dinamo Rīga(home) | 1-0 | 1. Liga |
| Jul 2, 2022 | Saldus SS/Leevon(away) | 0-4 | 1. Liga |
| Jun 22, 2022 | Grobiņa(away) | 0-2 | Cup |
| Jun 19, 2022 | Grobiņa(home) | 0-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2022 | Rīgas FS II(home) | 0-5 | 1. Liga |
| Jul 17, 2022 | JDFS Alberts(away) | 0-1 | 1. Liga |
| Jul 1, 2022 | Valmiera II(home) | 2-1 | 1. Liga |
| Jun 19, 2022 | Dinamo Rīga(away) | 0-4 | 1. Liga |
| May 28, 2022 | Riga FC II(home) | 1-6 | 1. Liga |
How many goals should we expect?
Smiltene score 1.1 and concede 2.9 goals per match over their last 15; Tukums II score 0.9 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smiltene | 1.1 | 2.9 | 1 | 8/15 | 12/15 |
| Tukums II | 0.9 | 3.2 | 1 | 6/12 | 9/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Smiltene sit 10th in 1. Liga (19 points from 22 matches) and Tukums II sit 11th (18 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Smiltene | 22 | 5 | 4 | 13 | 32 | 59 | 19 |
| 11 | Tukums II | 22 | 5 | 3 | 14 | 29 | 63 | 18 |
A question about Smiltene vs Tukums II?
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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