JDFS Alberts vs Tukums II: result 1-0 and analysis
1. LigaRegular Season - 11Kick-off on July 17, 2022 at 10:00 AM (UTC)Upesciems pilsētas stadions, Upesciems
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What was the result of JDFS Alberts vs Tukums II?
JDFS Alberts won 1-0 on July 17, 2022.
Goalscorers
- 17′?JDFS Alberts
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 5 wins, 4 draws and 6 defeats; Tukums II have 2, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2022 | FS Jelgava(away) | 1-2 | Cup |
| Jul 2, 2022 | Dinamo Rīga(home) | 1-2 | 1. Liga |
| Jun 22, 2022 | Saldus SS/Leevon(home) | 4-2 | Cup |
| Jun 18, 2022 | Saldus SS/Leevon(home) | 0-0 | 1. Liga |
| Jun 12, 2022 | LBF FK Daugava(away) | 5-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 21, 2022 | Saldus SS/Leevon(away) | 1-0 | 1. Liga |
| May 15, 2022 | Salaspils(home) | 1-2 | 1. Liga |
How many goals should we expect?
JDFS Alberts score 1.4 and concede 1.3 goals per match over their last 15; Tukums II score 1.1 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 1.4 | 1.3 | 3 | 9/15 | 7/15 |
| Tukums II | 1.1 | 3.2 | 1 | 6/10 | 8/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
JDFS Alberts sit 5th in 1. Liga (40 points from 22 matches) and Tukums II sit 11th (18 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 22 | 12 | 4 | 6 | 44 | 31 | 40 |
| 11 | Tukums II | 22 | 5 | 3 | 14 | 29 | 63 | 18 |
A question about JDFS Alberts vs Tukums 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