Næsby vs Vejgaard B: result 3-3 and analysis
2nd Division - Group 2Group 2 - 3Kick-off on August 17, 2019 at 12:00 PM (UTC)ALPI Arena Næsby, Odense
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What was the result of Næsby vs Vejgaard B?
Næsby and Vejgaard B drew 3-3 on August 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Næsby have 11 wins, 1 draw and 3 defeats; Vejgaard B have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | Sydvest(away) | 2-3 | 2nd Division - Group 2 |
| Aug 3, 2019 | Aarhus Fremad(home) | 0-3 | 2nd Division - Group 2 |
| Jun 15, 2019 | Varde IF Elite(home) | 8-2 | Denmark Series - Group 3 |
| Jun 8, 2019 | Viborg II(away) | 1-0 | Denmark Series - Group 3 |
| Jun 1, 2019 | Silkeborg KFUM(home) | 2-0 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | VSK Århus(away) | 0-0 | 2nd Division - Group 2 |
| Aug 6, 2019 | Vildbjerg(away) | 3-2 | DBU Pokalen |
| Aug 3, 2019 | Middelfart(home) | 3-1 | 2nd Division - Group 2 |
| Apr 13, 2019 | Dalum(away) | 1-1 | 2. Division |
| Apr 6, 2019 | Kjellerup(home) | 2-1 | 2. Division |
How many goals should we expect?
Næsby score 3.3 and concede 0.9 goals per match over their last 15; Vejgaard B score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Næsby | 3.3 | 0.9 | 9 | 5/15 | 12/15 |
| Vejgaard B | 1.5 | 1.1 | 1 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Næsby sit 9th in 2nd Division - Group 2 (18 points from 17 matches) and Vejgaard B sit 12th (11 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Næsby | 17 | 4 | 6 | 7 | 20 | 27 | 18 |
| 12 | Vejgaard B | 17 | 2 | 5 | 10 | 19 | 42 | 11 |
A question about Næsby vs Vejgaard B?
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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