Vaprus vs Elva: result 2-1 and analysis
Esiliiga ARegular Season - 17Kick-off on June 27, 2019 at 05:45 PM (UTC)Pärnu Rannastaadion, Pärnu
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What was the result of Vaprus vs Elva?
Vaprus won 2-1 on June 27, 2019.
Goalscorers
- 40′Kristen SaartsVaprus
- 43′M. ThomsonElva (pen.)
- 88′Tõnis VihmojaVaprus
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vaprus have 9 wins, 3 draws and 3 defeats; Elva have 8, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2019 | Flora II(home) | 0-0 | Esiliiga A |
| Jun 15, 2019 | Tallinna Kalev II(away) | 2-4 | Esiliiga A |
| Jun 2, 2019 | Legion(home) | 1-2 | Esiliiga A |
| May 30, 2019 | K-Järve JK Järve(away) | 1-1 | Esiliiga A |
| May 23, 2019 | FCI Levadia II(away) | 3-0 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2019 | Tartu Welco(home) | 3-0 | Esiliiga A |
| Jun 15, 2019 | FCI Levadia II(away) | 2-1 | Esiliiga A |
| Jun 3, 2019 | Tammeka II(home) | 3-2 | Esiliiga A |
| May 30, 2019 | Rakvere Tarvas(away) | 0-2 | Esiliiga A |
| May 23, 2019 | K-Järve JK Järve(home) | 1-0 | Esiliiga A |
What does the head-to-head say?
Across the last 1 meetings: 0 Vaprus win(s), 0 draw(s), 1 Elva win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2019 | Elva 3-2 Vaprus | Esiliiga A |
How many goals should we expect?
Vaprus score 2.3 and concede 0.9 goals per match over their last 15; Elva score 2.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vaprus | 2.3 | 0.9 | 7 | 8/15 | 10/15 |
| Elva | 2.1 | 1.6 | 5 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Elva | 16 | 7 | 2 | 7 | 29 | 27 | 23 |
| 4 | Elva | 24 | 11 | 4 | 9 | 42 | 37 | 37 |
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