Tukums II vs Beitar: result 2-1 and analysis
1. LigaRegular Season - 23Kick-off on October 22, 2023 at 02:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
Full time
What was the result of Tukums II vs Beitar?
Tukums II won 2-1 on October 22, 2023.
Goalscorers
- 7′A. SiņeļņikovsBeitar
- 37′?Tukums II
- 68′?Tukums II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums II have 6 wins, 1 draws and 8 defeats; Beitar have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2023 | Dinamo Rīga(away) | 4-3 | 1. Liga |
| Sep 30, 2023 | JFK Ventspils(home) | 1-1 | 1. Liga |
| Sep 24, 2023 | Saldus SS/Leevon(away) | 1-2 | 1. Liga |
| Sep 16, 2023 | Smiltene(away) | 3-0 | 1. Liga |
| Sep 2, 2023 | Progress / AFA Olaine(home) | 3-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Saldus SS/Leevon(home) | 2-0 | 1. Liga |
| Oct 1, 2023 | Smiltene(away) | 4-1 | 1. Liga |
| Sep 24, 2023 | Progress / AFA Olaine(home) | 1-4 | 1. Liga |
| Sep 16, 2023 | Skanste(home) | 0-5 | 1. Liga |
| Sep 9, 2023 | Valmiera II(home) | 2-1 | 1. Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Tukums II win(s), 0 draw(s), 1 Beitar win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 1, 2023 | Beitar 5-2 Tukums II | 1. Liga |
How many goals should we expect?
Tukums II score 1.4 and concede 1.8 goals per match over their last 15; Beitar score 1.9 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums II | 1.4 | 1.8 | 2 | 8/15 | 10/15 |
| Beitar | 1.9 | 2.6 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Tukums II | 16 | 3 | 3 | 10 | 21 | 45 | 12 |
| 11 | Tukums II | 10 | 2 | 2 | 6 | 15 | 26 | 8 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy