Tallinna Kalev vs Paide II: prediction and stats
Esiliiga AMatchday 15Kick-off on July 28, 2021 at 03:30 PM (UTC)Kalevi Keskstaadioni kunstmuru, Tallinn
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tallinna Kalev have 10 wins, 3 draws and 2 defeats; Paide II have 8, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2021 | TransferWise(away) | 9-2 | Cup |
| Jul 14, 2021 | Elva(home) | 1-0 | Esiliiga A |
| Jul 1, 2021 | Paide II(away) | 4-0 | Esiliiga A |
| Jun 27, 2021 | Pärnu(home) | 3-2 | Esiliiga A |
| Jun 19, 2021 | Flora II(away) | 5-1 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 25, 2021 | Luunja(home) | 8-2 | Esiliiga A |
| Jul 19, 2021 | Elva(away) | 1-0 | Esiliiga A |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 1 Tallinna Kalev win, 0 draws, 1 Paide II win.
| Date | Score | Competition |
|---|---|---|
| Jul 1, 2021 | Paide II 0-4 Tallinna Kalev | Esiliiga A |
| May 15, 2021 | Tallinna Kalev 0-2 Paide II | Esiliiga A |
Last archived meeting: Paide II vs Tallinna Kalev on Jul 1, 2021
How many goals should we expect?
Tallinna Kalev score 2.9 and concede 1.2 goals per match over their last 15; Paide II score 3.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tallinna Kalev | 2.9 | 1.2 | 4 | 10/15 | 10/15 |
| Paide II | 3.2 | 1.3 | 5 | 6/12 | 10/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Tallinna Kalev | 34 | 11 | 8 | 15 | 59 | 63 | 41 |
A question about Tallinna Kalev vs Paide II?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy