Tallinna Kalev vs Laagri: result 2-1 and analysis
MeistriliigaRegular Season - 27Kick-off on September 16, 2023 at 02:00 PM (UTC)Kadrioru staadion, Tallinn
Full time
What was the result of Tallinna Kalev vs Laagri?
Tallinna Kalev won 2-1 on September 16, 2023.
Goalscorers
- 41′K. KriisLaagri
- 75′A. PurjeTallinna Kalev
- 80′A. PurjeTallinna Kalev
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tallinna Kalev have 4 wins, 6 draws and 5 defeats; Laagri have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2023 | Trans Narva(away) | 1-2 | Meistriliiga |
| Aug 26, 2023 | FC Levadia Tallinn(away) | 1-1 | Meistriliiga |
| Aug 23, 2023 | Tallinna FC Zapoos(away) | 4-1 | Cup |
| Aug 20, 2023 | Flora Tallinn(home) | 1-1 | Meistriliiga |
| Aug 12, 2023 | Paide(away) | 1-1 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2023 | Olympic(away) | 8-0 | Cup |
| Sep 2, 2023 | Vaprus(home) | 0-4 | Meistriliiga |
| Aug 25, 2023 | Flora Tallinn(away) | 0-2 | Meistriliiga |
| Aug 18, 2023 | Trans Narva(home) | 0-2 | Meistriliiga |
| Aug 12, 2023 | FC Levadia Tallinn(away) | 1-1 | Meistriliiga |
What does the head-to-head say?
Across the last 2 meetings: 1 Tallinna Kalev win(s), 1 draw(s), 0 Laagri win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 28, 2023 | Tallinna Kalev 1-1 Laagri | Meistriliiga |
| Mar 15, 2023 | Laagri 0-2 Tallinna Kalev | Meistriliiga |
Last archived meeting: Tallinna Kalev vs Laagri on Jun 28, 2023
How many goals should we expect?
Tallinna Kalev score 2.6 and concede 1.3 goals per match over their last 15; Laagri score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tallinna Kalev | 2.6 | 1.3 | 2 | 11/15 | 8/15 |
| Laagri | 1.9 | 1.1 | 4 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Laagri | 24 | 9 | 1 | 14 | 34 | 40 | 28 |
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