Næsby vs Dalum: result 0-2 and analysis
2nd Division - Group 2Regular Season - 3Kick-off on August 21, 2015 at 04:30 PM (UTC)ALPI Arena Næsby, Odense
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What was the result of Næsby vs Dalum?
Dalum won 0-2 on August 21, 2015.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Næsby have 3 wins, 2 draws and 4 defeats; Dalum have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | Frem(away) | 2-2 | 2nd Division - Group 2 |
| Aug 11, 2015 | FC Fredericia(home) | 0-6 | DBU Pokalen |
| Aug 7, 2015 | Svendborg(home) | 2-2 | 2nd Division - Group 2 |
| Sep 24, 2014 | HB Koge(home) | 0-3 | DBU Pokalen |
| Aug 12, 2014 | Vojens(away) | 1-0 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | Fremad Amager(home) | 2-2 | 2nd Division - Group 2 |
| Aug 8, 2015 | Marienlyst(away) | 1-3 | 2nd Division - Group 2 |
| Jun 20, 2015 | Marstal / Rise(home) | 4-2 | Denmark Series - Group 2 |
| Jun 13, 2015 | B 1909(away) | 3-1 | Denmark Series - Group 2 |
| Jun 6, 2015 | Ringsted(away) | 5-1 | Denmark Series - Group 2 |
How many goals should we expect?
Næsby score 2.3 and concede 2.2 goals per match over their last 9; Dalum score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Næsby | 2.3 | 2.2 | 3 | 3/9 | 7/9 |
| Dalum | 2.3 | 1.1 | 4 | 11/15 | 10/15 |
Over the last 9 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 Dalum sit 8th (22 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Dalum | 17 | 6 | 4 | 7 | 29 | 27 | 22 |
| 9 | Næsby | 17 | 4 | 6 | 7 | 20 | 27 | 18 |
A question about Næsby vs Dalum?
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