Mārupe vs JDFS Alberts: result 0-1 and analysis
1. LigaRegular Season - 2Kick-off on April 14, 2024 at 10:00 AM (UTC)Jaunmārupes stadions, Jaunmārupe
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What was the result of Mārupe vs JDFS Alberts?
JDFS Alberts won 0-1 on April 14, 2024.
Goalscorers
- 90′R. KorzānsJDFS Alberts
What is the recent form of both teams?
Over their last 10 matches in all competitions, Mārupe have 5 wins, 3 draws and 2 defeats; JDFS Alberts have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2024 | Skanste(away) | 1-1 | 1. Liga |
| Jul 15, 2023 | Beitar(home) | 0-1 | Cup |
| Jun 22, 2023 | Dinamo Rīga(away) | 11-0 | Cup |
| Jun 10, 2023 | Skanste(home) | 2-0 | Cup |
| May 28, 2023 | Valka(away) | 7-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2024 | Smiltene(home) | 3-0 | 1. Liga |
| Feb 22, 2024 | Nõmme United(home) | 1-1 | Friendlies Clubs |
| Feb 10, 2024 | Laagri(away) | 2-2 | Friendlies Clubs |
| Nov 12, 2023 | Progress / AFA Olaine(home) | 6-2 | 1. Liga |
| Nov 4, 2023 | Skanste(away) | 1-0 | 1. Liga |
How many goals should we expect?
Mārupe score 3.5 and concede 1.2 goals per match over their last 10; JDFS Alberts score 1.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mārupe | 3.5 | 1.2 | 5 | 4/10 | 6/10 |
| JDFS Alberts | 1.8 | 1.9 | 2 | 10/15 | 11/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Mārupe sit 6th in 1. Liga (16 points from 10 matches) and JDFS Alberts sit 5th (17 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 10 | 5 | 2 | 3 | 21 | 14 | 17 |
| 5 | JDFS Alberts | 17 | 9 | 4 | 4 | 35 | 24 | 31 |
| 6 | Mārupe | 10 | 5 | 1 | 4 | 20 | 12 | 16 |
| 6 | Mārupe | 18 | 8 | 1 | 9 | 29 | 30 | 25 |
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