Lokomotiv vs Paide: result 1-2 and analysis
MeistriliigaRegular Season - 10Kick-off on May 3, 2014 at 10:00 AM (UTC)Stadion Lokomotiv, Tashkent
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What was the result of Lokomotiv vs Paide?
Paide won 1-2 on May 3, 2014.
Goalscorers
- 2′P. MboungouLokomotiv
- 53′Stanislav GoldbergPaide
- 57′Rasmus TomsonPaide
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotiv have 4 wins, 3 draws and 8 defeats; Paide have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2014 | Andijan(home) | 4-0 | Super League |
| Apr 26, 2014 | Paide(away) | 0-3 | Meistriliiga |
| Apr 19, 2014 | FC Levadia Tallinn(home) | 0-4 | Meistriliiga |
| Apr 12, 2014 | Tammeka(away) | 1-1 | Meistriliiga |
| Apr 11, 2014 | Bunyodkor(away) | 1-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2014 | Lokomotiv(home) | 3-0 | Meistriliiga |
| Apr 18, 2014 | Tammeka(away) | 4-2 | Meistriliiga |
| Apr 12, 2014 | Sillamäe Kalev(home) | 0-3 | Meistriliiga |
| Apr 4, 2014 | Tallinna Kalev(away) | 1-1 | Meistriliiga |
| Mar 29, 2014 | Trans Narva(home) | 0-0 | Meistriliiga |
What does the head-to-head say?
Across the last 1 meetings: 0 Lokomotiv win(s), 0 draw(s), 1 Paide win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 26, 2014 | Paide 3-0 Lokomotiv | Meistriliiga |
How many goals should we expect?
Lokomotiv score 0.9 and concede 1.8 goals per match over their last 15; Paide score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotiv | 0.9 | 1.8 | 3 | 6/15 | 7/15 |
| Paide | 1.2 | 1.7 | 4 | 6/15 | 9/15 |
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 | Paide | 23 | 11 | 6 | 6 | 38 | 30 | 39 |
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