Laagri vs Trans Narva: result 1-2 and analysis
MeistriliigaRegular Season - 6Kick-off on April 8, 2023 at 11:30 AM (UTC)Laagri kunstmuru, Tallinn
Full time
What was the result of Laagri vs Trans Narva?
Trans Narva won 1-2 on April 8, 2023.
Goalscorers
- 17′R. SobtšenkoLaagri
- 45′D. TarassenkovTrans Narva
- 67′A. MarkovicTrans Narva
What is the recent form of both teams?
Over their last 15 matches in all competitions, Laagri have 4 wins, 2 draws and 9 defeats; Trans Narva have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Paide(away) | 0-1 | Meistriliiga |
| Mar 19, 2023 | Kalju Nomme(home) | 1-2 | Meistriliiga |
| Mar 15, 2023 | Tallinna Kalev(home) | 0-2 | Meistriliiga |
| Mar 7, 2023 | Kuressaare(away) | 1-1 | Meistriliiga |
| Mar 3, 2023 | Flora Tallinn(away) | 0-4 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Kalju Nomme(away) | 0-2 | Meistriliiga |
| Mar 18, 2023 | FC Levadia Tallinn(home) | 0-2 | Meistriliiga |
| Mar 14, 2023 | Flora Tallinn(away) | 0-5 | Meistriliiga |
| Mar 5, 2023 | Paide(away) | 1-2 | Meistriliiga |
| Feb 25, 2023 | Kalju Nomme(away) | 0-0 | Friendlies Clubs |
How many goals should we expect?
Laagri score 1.4 and concede 1.8 goals per match over their last 15; Trans Narva score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Laagri | 1.4 | 1.8 | 1 | 9/15 | 9/15 |
| Trans Narva | 0.9 | 1.4 | 5 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Laagri sit 6th in Meistriliiga (28 points from 24 matches) and Trans Narva sit 10th (17 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Laagri | 24 | 9 | 1 | 14 | 34 | 40 | 28 |
| 10 | Trans Narva | 24 | 5 | 2 | 17 | 18 | 55 | 17 |
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