Næsby vs Aarhus Fremad: result 0-3 and analysis
2nd Division - Group 2Group 2 - 1Kick-off on August 3, 2019 at 12:00 PM (UTC)ALPI Arena Næsby, Odense
Full time
What was the result of Næsby vs Aarhus Fremad?
Aarhus Fremad won 0-3 on August 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Næsby have 13 wins, 1 draw and 1 defeat; Aarhus Fremad have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 24, 2019 | B 1913(away) | 3-0 | Denmark Series - Group 3 |
| May 18, 2019 | Kolding B(home) | 5-0 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Kolding IF(away) | 0-0 | 2. Division |
| Apr 6, 2019 | Skive(home) | 1-3 | 2. Division |
| Mar 30, 2019 | Sydvest(away) | 1-1 | 2. Division |
| Mar 23, 2019 | Kjellerup(home) | 3-2 | 2. Division |
| Mar 16, 2019 | Vejgaard B(away) | 1-4 | 2. Division |
How many goals should we expect?
Næsby score 3.7 and concede 0.5 goals per match over their last 15; Aarhus Fremad score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Næsby | 3.7 | 0.5 | 11 | 4/15 | 12/15 |
| Aarhus Fremad | 1.6 | 1.2 | 8 | 7/15 | 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 Aarhus Fremad sit 1st (38 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Aarhus Fremad | 17 | 12 | 2 | 3 | 33 | 10 | 38 |
| 9 | Næsby | 17 | 4 | 6 | 7 | 20 | 27 | 18 |
A question about Næsby vs Aarhus Fremad?
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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