Rakvere Tarvas vs Sillamäe Kalev: result 0-3 and analysis
MeistriliigaRegular Season - 14Kick-off on May 24, 2016 at 04:00 PM (UTC)Rakvere linnastaadion, Rakvere
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What was the result of Rakvere Tarvas vs Sillamäe Kalev?
Sillamäe Kalev won 0-3 on May 24, 2016.
Goalscorers
- 8′E. KabaevSillamäe Kalev
- 22′E. KabaevSillamäe Kalev
- 49′A. VolkovSillamäe Kalev
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rakvere Tarvas have 1 wins, 1 draws and 13 defeats; Sillamäe Kalev have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2016 | FC Levadia Tallinn(home) | 0-4 | Meistriliiga |
| May 13, 2016 | Paide(away) | 2-4 | Meistriliiga |
| May 7, 2016 | FCI Tallinn(home) | 0-1 | Meistriliiga |
| Apr 29, 2016 | Trans Narva(home) | 0-1 | Meistriliiga |
| Apr 23, 2016 | Sillamäe Kalev(away) | 0-1 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2016 | Paide(home) | 0-0 | Meistriliiga |
| May 13, 2016 | Flora Tallinn(home) | 2-4 | Meistriliiga |
| May 7, 2016 | FC Levadia Tallinn(away) | 1-2 | Meistriliiga |
| Apr 30, 2016 | FCI Tallinn(away) | 0-0 | Meistriliiga |
| Apr 23, 2016 | Rakvere Tarvas(home) | 1-0 | Meistriliiga |
What does the head-to-head say?
Across the last 1 meetings: 0 Rakvere Tarvas win(s), 0 draw(s), 1 Sillamäe Kalev win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2016 | Sillamäe Kalev 1-0 Rakvere Tarvas | Meistriliiga |
Last archived meeting: Sillamäe Kalev vs Rakvere Tarvas on Apr 23, 2016
How many goals should we expect?
Rakvere Tarvas score 0.7 and concede 2.9 goals per match over their last 15; Sillamäe Kalev score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rakvere Tarvas | 0.7 | 2.9 | 0 | 6/15 | 11/15 |
| Sillamäe Kalev | 1.2 | 1.5 | 4 | 8/15 | 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