Tukums II vs Mārupe: result 0-1 and analysis
1. LigaRegular Season - 5Kick-off on May 5, 2024 at 02:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums II vs Mārupe?
Mārupe won 0-1 on May 5, 2024.
Goalscorers
- 56′?Mārupe
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums II have 7 wins, 3 draws and 5 defeats; Mārupe have 5, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Smiltene(away) | 2-0 | 1. Liga |
| Apr 19, 2024 | Progress / AFA Olaine(home) | 2-0 | 1. Liga |
| Apr 13, 2024 | Valmiera II(away) | 1-3 | 1. Liga |
| Apr 6, 2024 | JFK Ventspils(home) | 1-1 | 1. Liga |
| Nov 12, 2023 | Grobiņa(home) | 0-5 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Rīgas FS II(home) | 1-2 | 1. Liga |
| Apr 20, 2024 | Leevon / PPK(away) | 2-4 | 1. Liga |
| Apr 14, 2024 | JDFS Alberts(home) | 0-1 | 1. Liga |
| Apr 6, 2024 | Skanste(away) | 1-1 | 1. Liga |
| Jul 15, 2023 | Beitar(home) | 0-1 | Cup |
How many goals should we expect?
Tukums II score 1.9 and concede 1.7 goals per match over their last 15; Mārupe score 2.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums II | 1.9 | 1.7 | 4 | 8/15 | 11/15 |
| Mārupe | 2.9 | 1.5 | 5 | 6/13 | 8/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Tukums II sit 11th in 1. Liga (18 points from 22 matches) and Mārupe sit 6th (32 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Mārupe | 22 | 10 | 2 | 10 | 37 | 34 | 32 |
| 11 | Tukums II | 22 | 5 | 3 | 14 | 29 | 63 | 18 |
A question about Tukums II vs Mārupe?
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