Paide II vs Viimsi: result 0-2 and analysis
Friendlies ClubsClub Friendlies 5Kick-off on February 19, 2023 at 03:15 PM (UTC)Paide linnastaadion, Paide
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What was the result of Paide II vs Viimsi?
Viimsi won 0-2 on February 19, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paide II have 4 wins, 1 draw and 10 defeats; Viimsi have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 12, 2023 | Flora II(home) | 1-3 | Friendlies Clubs |
| Feb 4, 2023 | FCI Levadia II(home) | 0-1 | Friendlies Clubs |
| Jan 29, 2023 | K-Järve JK Järve(away) | 4-1 | Friendlies Clubs |
| Jan 22, 2023 | Nõmme United(away) | 0-5 | Friendlies Clubs |
| Nov 13, 2022 | K-Järve JK Järve(home) | 1-4 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2023 | Tallinna Kalev(home) | 1-1 | Friendlies Clubs |
| Jan 29, 2023 | JK Tabasalu(away) | 3-0 | Friendlies Clubs |
| Jan 21, 2023 | FC Tallinn(away) | 2-1 | Friendlies Clubs |
| Nov 13, 2022 | Tulevik(home) | 3-0 | Esiliiga A |
| Nov 5, 2022 | K-Järve JK Järve(away) | 3-0 | Esiliiga A |
What does the head-to-head say?
Across the last 4 meetings: 1 Paide II win, 0 draws, 3 Viimsi wins.
| Date | Score | Competition |
|---|---|---|
| Oct 16, 2022 | Paide II 1-3 Viimsi | Esiliiga A |
| Aug 22, 2022 | Viimsi 5-0 Paide II | Esiliiga A |
| May 2, 2022 | Paide II 2-0 Viimsi | Esiliiga A |
| Mar 19, 2022 | Viimsi 4-3 Paide II | Esiliiga A |
How many goals should we expect?
Paide II score 1.4 and concede 3.2 goals per match over their last 15; Viimsi score 2.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paide II | 1.4 | 3.2 | 0 | 10/15 | 12/15 |
| Viimsi | 2.1 | 0.8 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Paide II vs Viimsi?
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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
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