Trans Narva vs Paide: result 3-0 and analysis
MeistriliigaRegular Season - 6Kick-off on April 9, 2011 at 02:00 PM (UTC)Kalevi Staadion, Narva
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What was the result of Trans Narva vs Paide?
Trans Narva won 3-0 on April 9, 2011.
Goalscorers
- 46′Aleksandrs CekulajevsTrans Narva
- 58′V. PlotnikovTrans Narva
- 81′Aleksandrs CekulajevsTrans Narva
What is the recent form of both teams?
Over their last 5 matches in all competitions, Trans Narva have 2 wins, 3 draws and 0 defeats; Paide have 2, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2011 | Tammeka(away) | 1-1 | Meistriliiga |
| Mar 22, 2011 | Ajax Lasnamäe(home) | 7-0 | Meistriliiga |
| Mar 19, 2011 | Kalju Nomme(away) | 1-1 | Meistriliiga |
| Mar 12, 2011 | Kuressaare(home) | 4-0 | Meistriliiga |
| Mar 5, 2011 | Viljandi(away) | 0-0 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2011 | Ajax Lasnamäe(away) | 2-1 | Meistriliiga |
| Mar 22, 2011 | Kuressaare(home) | 4-1 | Meistriliiga |
| Mar 19, 2011 | Sillamäe Kalev(away) | 0-2 | Meistriliiga |
| Mar 12, 2011 | FC Levadia Tallinn(home) | 0-0 | Meistriliiga |
| Mar 5, 2011 | Tammeka(away) | 2-2 | Meistriliiga |
How many goals should we expect?
Trans Narva score 2.6 and concede 0.4 goals per match over their last 5; Paide score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trans Narva | 2.6 | 0.4 | 3 | 2/5 | 2/5 |
| Paide | 1.6 | 1.2 | 1 | 3/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Trans Narva sit 10th in Meistriliiga (17 points from 24 matches) and Paide sit 4th (39 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Paide | 23 | 11 | 6 | 6 | 38 | 30 | 39 |
| 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