Pärnu vs Trans Narva: result 0-1 and analysis
MeistriliigaRegular Season - 18Kick-off on July 11, 2015 at 05:00 PM (UTC)Pärnu Rannastaadion, Pärnu
Full time
What was the result of Pärnu vs Trans Narva?
Trans Narva won 0-1 on July 11, 2015.
Goalscorers
- 42′T. TambergTrans Narva
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pärnu have 1 wins, 3 draws and 11 defeats; Trans Narva have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2015 | Tammeka(away) | 0-1 | Meistriliiga |
| Jun 27, 2015 | Paide(away) | 1-4 | Meistriliiga |
| Jun 6, 2015 | Tulevik(home) | 2-1 | Meistriliiga |
| Jun 2, 2015 | Sillamäe Kalev(away) | 0-0 | Meistriliiga |
| May 26, 2015 | Kalju Nomme(home) | 0-3 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2015 | FC Levadia Tallinn(home) | 1-3 | Meistriliiga |
| Jun 26, 2015 | FCI Tallinn(away) | 0-3 | Meistriliiga |
| Jun 5, 2015 | Flora Tallinn(away) | 1-0 | Meistriliiga |
| Jun 2, 2015 | Tammeka(home) | 6-0 | Meistriliiga |
| May 25, 2015 | Paide(away) | 0-1 | Meistriliiga |
What does the head-to-head say?
Across the last 1 meetings: 0 Pärnu win(s), 0 draw(s), 1 Trans Narva win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 7, 2015 | Trans Narva 5-2 Pärnu | Meistriliiga |
How many goals should we expect?
Pärnu score 0.8 and concede 2.5 goals per match over their last 15; Trans Narva score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pärnu | 0.8 | 2.5 | 1 | 8/15 | 10/15 |
| Trans Narva | 1.1 | 1.3 | 6 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Trans Narva | 24 | 5 | 2 | 17 | 18 | 55 | 17 |
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