Kuressaare vs Pärnu: result 4-3 and analysis
Esiliiga ARegular SeasonKick-off on July 18, 2014 at 04:00 PM (UTC)Kuressaare linnastaadion, Kuressaare
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What was the result of Kuressaare vs Pärnu?
Kuressaare won 4-3 on July 18, 2014.
Goalscorers
- 18′S. LahtKuressaare
- 30′Henri HansonPärnu
- 42′Toomas PentPärnu
- 57′Alari SaarKuressaare
- 62′Mario SternKuressaare
- 73′Tõnis VihmojaPärnu
- 85′Mario SternKuressaare
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kuressaare have 7 wins, 3 draws and 5 defeats; Pärnu have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2014 | Tulevik(away) | 0-2 | Esiliiga A |
| Jul 5, 2014 | Rakvere Tarvas(away) | 2-2 | Esiliiga A |
| Jul 2, 2014 | Puuma(home) | 3-2 | Esiliiga A |
| Jun 14, 2014 | FCI Levadia II(away) | 3-3 | Esiliiga A |
| Jun 11, 2014 | Nõmme Kalju II(home) | 1-2 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2014 | Kiviõli Irbis(away) | 1-4 | Esiliiga A |
| Jul 7, 2014 | Tulevik(home) | 2-3 | Esiliiga A |
| Jul 2, 2014 | Rakvere Tarvas(home) | 5-0 | Esiliiga A |
| Jun 15, 2014 | Puuma(away) | 3-1 | Esiliiga A |
| Jun 11, 2014 | FCI Levadia II(home) | 5-2 | Esiliiga A |
What does the head-to-head say?
Across the last 2 meetings: 2 Kuressaare win(s), 0 draw(s), 0 Pärnu win(s).
| Date | Score | Competition |
|---|---|---|
| May 9, 2014 | Pärnu 1-3 Kuressaare | Esiliiga A |
| Apr 18, 2014 | Kuressaare 5-4 Pärnu | Esiliiga A |
How many goals should we expect?
Kuressaare score 1.9 and concede 2.0 goals per match over their last 15; Pärnu score 3.1 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kuressaare | 1.9 | 2.0 | 3 | 9/15 | 9/15 |
| Pärnu | 3.1 | 2.4 | 3 | 12/15 | 14/15 |
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