FCI Levadia II vs Paide II: prediction and stats
Esiliiga ARegular Season - 13Kick-off on July 19, 2021 at 04:00 PM (UTC)Maarjamäe Staadion, Tallinn
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, FCI Levadia II have 8 wins, 2 draws and 5 defeats; Paide II have 6, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 17, 2021 | Flora II(away) | 1-1 | Esiliiga A |
| Jul 14, 2021 | Pärnu(home) | 1-2 | Esiliiga A |
| Jul 3, 2021 | Maardu(away) | 1-3 | Esiliiga A |
| Jun 27, 2021 | Elva(home) | 4-2 | Esiliiga A |
| May 31, 2021 | Luunja(away) | 4-3 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2021 | Flora II(home) | 8-2 | Esiliiga A |
| Jul 1, 2021 | Tallinna Kalev(home) | 0-4 | Esiliiga A |
| Jun 26, 2021 | Tartu Welco(away) | 4-0 | Esiliiga A |
| Jun 20, 2021 | Pärnu(home) | 4-0 | Esiliiga A |
| May 31, 2021 | Nõmme United(away) | 4-0 | Esiliiga A |
What does the head-to-head say?
Across the last 1 meetings: 1 FCI Levadia II win(s), 0 draw(s), 0 Paide II win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 6, 2021 | Paide II 1-2 FCI Levadia II | Esiliiga A |
Last archived meeting: Paide II vs FCI Levadia II on Mar 6, 2021
How many goals should we expect?
FCI Levadia II score 1.9 and concede 1.7 goals per match over their last 15; Paide II score 2.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FCI Levadia II | 1.9 | 1.7 | 5 | 8/15 | 9/15 |
| Paide II | 2.9 | 1.3 | 4 | 5/10 | 9/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | FCI Levadia II | 25 | 11 | 1 | 13 | 47 | 48 | 34 |
| 9 | FCI Levadia II | 16 | 5 | 0 | 11 | 26 | 33 | 15 |
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