Laagri vs Pärnu: result 1-0 and analysis
Esiliiga ARegular Season - 9Kick-off on April 23, 2022 at 09:30 AM (UTC)Laagri kunstmuru, Tallinn
Full time
What was the result of Laagri vs Pärnu?
Laagri won 1-0 on April 23, 2022.
Goalscorers
- 2′A. JärvaLaagri (pen.)
Official lineup for Laagri vs Pärnu
The starting elevens fielded at kick-off.
Laagri
- AA. Järva
- MM. Niilop
- KK. Kriis
- KK. Eerme
- RR. Sobtšenko
- MM. Vainumäe
- AA. Kaevats
- JJens Erik Nielsen
- HHans Joosep Tammerik
- HHans-Kristjan Hansberg
- MM. Madik
Pärnu
- SS. Õismets
- RR. Madissoo
- II. Mohhov
- OO. Vaabel
- JJ. Kanter
- MMirko Mardiste
- KK. Valk
- NN. Vyzdryk
- VV. Vespere
- EE. Pikk
- KK. Koort
What is the recent form of both teams?
Over their last 8 matches in all competitions, Laagri have 4 wins, 0 draws and 4 defeats; Pärnu have 1, 7 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2022 | FCI Levadia II(away) | 2-3 | Esiliiga A |
| Apr 14, 2022 | K-Järve JK Järve(home) | 6-1 | Esiliiga A |
| Apr 10, 2022 | Nõmme United(away) | 2-3 | Esiliiga A |
| Apr 2, 2022 | Tulevik(home) | 6-0 | Esiliiga A |
| Mar 19, 2022 | Elva(away) | 0-2 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2022 | Flora II(home) | 0-0 | Esiliiga A |
| Apr 14, 2022 | Paide II(away) | 0-3 | Esiliiga A |
| Apr 9, 2022 | FCI Levadia II(home) | 1-1 | Esiliiga A |
| Apr 2, 2022 | Elva(away) | 0-0 | Esiliiga A |
| Mar 19, 2022 | K-Järve JK Järve(away) | 0-1 | Esiliiga A |
How many goals should we expect?
Laagri score 3.1 and concede 1.6 goals per match over their last 8; Pärnu score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Laagri | 3.1 | 1.6 | 1 | 5/8 | 6/8 |
| Pärnu | 0.8 | 1.3 | 4 | 7/15 | 6/15 |
Over the last 8 matches in all competitions.
A question about Laagri vs Pärnu?
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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