Viby vs Tarup-Paarup: result 1-1 and analysis
Denmark Series - Group 3Group 3 - 5Kick-off on September 12, 2020 at 11:00 AM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Tarup-Paarup?
Viby and Tarup-Paarup drew 1-1 on September 12, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 3 wins, 4 draws and 8 defeats; Tarup-Paarup have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2020 | Marienlyst(away) | 1-2 | Denmark Series - Group 3 |
| Sep 1, 2020 | Højslev IF(away) | 4-0 | DBU Pokalen |
| Aug 22, 2020 | Odder(away) | 0-2 | Denmark Series - Group 3 |
| Aug 15, 2020 | Varde IF Elite(home) | 1-3 | Denmark Series - Group 3 |
| Nov 2, 2019 | Nørresundby(away) | 1-2 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2020 | Varde IF Elite(home) | 1-1 | Denmark Series - Group 3 |
| Aug 21, 2020 | Hedensted(away) | 3-3 | Denmark Series - Group 3 |
| Aug 15, 2020 | Horsens II(home) | 0-0 | Denmark Series - Group 3 |
| Nov 2, 2019 | Otterup(away) | 0-2 | Denmark Series - Group 3 |
| Oct 26, 2019 | Marienlyst(home) | 1-1 | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 1.3 and concede 1.7 goals per match over their last 15; Tarup-Paarup score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 1.3 | 1.7 | 2 | 9/15 | 8/15 |
| Tarup-Paarup | 1.2 | 1.1 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Tarup-Paarup | 17 | 6 | 3 | 8 | 32 | 36 | 21 |
A question about Viby vs Tarup-Paarup?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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