Laagri vs Viimsi: result 0-1 and analysis
Esiliiga ARegular Season - 3Kick-off on March 14, 2022 at 05:00 PM (UTC)Laagri kunstmuru, Tallinn
Full time
What was the result of Laagri vs Viimsi?
Viimsi won 0-1 on March 14, 2022.
Goalscorers
- 28′K. SõerdeViimsi
Official lineup for Laagri vs Viimsi
The starting elevens fielded at kick-off.
Laagri
- AA. Järva
- MM. Niilop
- KK. Eerme
- RR. Sobtšenko
- IImre Kartau
- JJens Erik Nielsen
- HHans-Kristjan Hansberg
- KKaspar Tilga
- JJ. Kariste
- KK. Dubrovski
- MM. Madik
Viimsi
- GG. Lehtmets
- JJ. Siim
- KK. Sõerde
- KK. Tammeveski
- JJ. Kõre
- RR. Kala
- MM. Jälle
- OO. Jõgi
- KK. Kaljuvere
- MM. Valkna
- MM. Raassalu
What is the recent form of both teams?
Over their last 2 matches in all competitions, Laagri have 2 wins, 0 draws and 0 defeats; Viimsi have 3, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2022 | Flora II(home) | 4-2 | Esiliiga A |
| Mar 3, 2022 | Paide II(away) | 5-1 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2022 | Pärnu(home) | 1-1 | Esiliiga A |
| Mar 3, 2022 | Flora II(away) | 1-2 | Esiliiga A |
| Jan 22, 2022 | FC Tallinn(away) | 3-0 | Friendlies Clubs |
| Aug 16, 2021 | Elva(away) | 0-2 | Cup |
| Jul 9, 2021 | Vaprus(home) | 3-1 | Cup |
How many goals should we expect?
Laagri score 4.5 and concede 1.5 goals per match over their last 2; Viimsi score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Laagri | 4.5 | 1.5 | 0 | 2/2 | 2/2 |
| Viimsi | 1.3 | 1.7 | 2 | 4/9 | 6/9 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Viimsi | 31 | 16 | 5 | 10 | 58 | 32 | 53 |
A question about Laagri vs Viimsi?
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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