New Project vs JDFS Alberts: result 0-2 and analysis
1. LigaRegular Season - 12Kick-off on July 20, 2019 at 02:00 PM (UTC)
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What was the result of New Project vs JDFS Alberts?
JDFS Alberts won 0-2 on July 20, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, New Project have 2 wins, 2 draws and 7 defeats; JDFS Alberts have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2019 | Tukums(away) | 0-1 | 1. Liga |
| Jun 8, 2019 | Super Nova(home) | 0-0 | 1. Liga |
| Jun 1, 2019 | Dinamo Rīga / Staicele(home) | 4-0 | 1. Liga |
| May 25, 2019 | Smiltene(away) | 1-3 | 1. Liga |
| May 19, 2019 | Rēzekne FA(home) | 1-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2019 | Grobiņa(away) | 2-1 | 1. Liga |
| Jun 1, 2019 | Auda(home) | 3-0 | 1. Liga |
| May 25, 2019 | Tukums(away) | 0-4 | 1. Liga |
| May 18, 2019 | Super Nova(home) | 2-1 | 1. Liga |
| May 11, 2019 | Dinamo Rīga / Staicele(away) | 3-1 | 1. Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 New Project win(s), 0 draw(s), 1 JDFS Alberts win(s).
| Date | Score | Competition |
|---|---|---|
| May 1, 2019 | JDFS Alberts 3-2 New Project | 1. Liga |
Last archived meeting: JDFS Alberts vs New Project on May 1, 2019
How many goals should we expect?
New Project score 1.5 and concede 1.3 goals per match over their last 11; JDFS Alberts score 1.8 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| New Project | 1.5 | 1.3 | 3 | 5/11 | 6/11 |
| JDFS Alberts | 1.8 | 2.5 | 2 | 9/15 | 14/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | 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 |
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