Legion vs Tammeka II: result 4-0 and analysis
Esiliiga ARegular Season - 32Kick-off on October 5, 2019 at 10:00 AM (UTC)Kadrioru staadion, Tallinn
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What was the result of Legion vs Tammeka II?
Legion won 4-0 on October 5, 2019.
Goalscorers
- 16′Dmitri KovtunovitšLegion
- 50′M. ŠatovLegion
- 65′Giorgi GhvinashviliLegion
- 90′R. AlijevLegion (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Legion have 10 wins, 3 draws and 2 defeats; Tammeka II have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2019 | Tartu Welco(away) | 2-2 | Esiliiga A |
| Sep 22, 2019 | FCI Levadia II(home) | 2-0 | Esiliiga A |
| Sep 19, 2019 | Flora II(home) | 1-2 | Esiliiga A |
| Sep 14, 2019 | Tallinna Kalev II(away) | 1-0 | Esiliiga A |
| Sep 7, 2019 | Elva(home) | 5-3 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2019 | FCI Levadia II(away) | 1-7 | Esiliiga A |
| Sep 23, 2019 | Tartu Welco(home) | 0-1 | Esiliiga A |
| Sep 19, 2019 | K-Järve JK Järve(home) | 2-0 | Esiliiga A |
| Sep 14, 2019 | Rakvere Tarvas(away) | 4-1 | Esiliiga A |
| Sep 1, 2019 | Vaprus(home) | 3-1 | Esiliiga A |
What does the head-to-head say?
Across the last 3 meetings: 1 Legion win(s), 2 draw(s), 0 Tammeka II win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 4, 2019 | Tammeka II 1-1 Legion | Esiliiga A |
| Jun 13, 2019 | Tammeka II 3-3 Legion | Esiliiga A |
| Mar 31, 2019 | Legion 3-0 Tammeka II | Esiliiga A |
How many goals should we expect?
Legion score 3.0 and concede 1.3 goals per match over their last 15; Tammeka II score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Legion | 3.0 | 1.3 | 7 | 8/15 | 9/15 |
| Tammeka II | 2.1 | 1.5 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
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