Maardu vs Paide: result 1-4 and analysis
MeistriliigaRegular Season - 17Kick-off on June 22, 2019 at 01:00 PM (UTC)Maardu linnastaadion, Maardu
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What was the result of Maardu vs Paide?
Paide won 1-4 on June 22, 2019.
Goalscorers
- 15′A. ValgePaide
- 22′A. JattaPaide
- 36′Y. YaoPaide
- 50′S. SinilaidPaide
- 67′Vitali GussevMaardu
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maardu have 2 wins, 2 draws and 11 defeats; Paide have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2019 | Tulevik(away) | 0-2 | Meistriliiga |
| Jun 15, 2019 | Flora Tallinn(home) | 3-8 | Meistriliiga |
| Jun 1, 2019 | Kalju Nomme(away) | 0-6 | Meistriliiga |
| May 28, 2019 | Tammeka(home) | 2-1 | Meistriliiga |
| May 22, 2019 | Trans Narva(away) | 1-5 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2019 | Kuressaare(home) | 7-0 | Meistriliiga |
| Jun 14, 2019 | Tulevik(home) | 6-0 | Meistriliiga |
| Jun 2, 2019 | FC Levadia Tallinn(away) | 1-1 | Meistriliiga |
| May 28, 2019 | Kalju Nomme(home) | 0-2 | Meistriliiga |
| May 24, 2019 | Tallinna Kalev(away) | 3-0 | Meistriliiga |
What does the head-to-head say?
Across the last 1 meetings: 0 Maardu win(s), 0 draw(s), 1 Paide win(s).
| Date | Score | Competition |
|---|---|---|
| May 4, 2019 | Paide 2-0 Maardu | Meistriliiga |
How many goals should we expect?
Maardu score 0.5 and concede 3.1 goals per match over their last 15; Paide score 2.0 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maardu | 0.5 | 3.1 | 3 | 3/15 | 7/15 |
| Paide | 2.0 | 0.6 | 9 | 3/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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