Næsby vs Avarta: result 2-5 and analysis
2nd Division - Group 2Regular Season - 4Kick-off on August 25, 2017 at 04:30 PM (UTC)ALPI Arena Næsby, Odense
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What was the result of Næsby vs Avarta?
Avarta won 2-5 on August 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Næsby have 5 wins, 2 draws and 8 defeats; Avarta have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | HIK(away) | 3-4 | 2nd Division - Group 2 |
| Aug 12, 2017 | Marienlyst(home) | 1-3 | 2nd Division - Group 2 |
| Aug 8, 2017 | KRFK(away) | 3-0 | DBU Pokalen |
| Aug 5, 2017 | Greve(away) | 1-2 | 2nd Division - Group 2 |
| Nov 5, 2016 | Kolding IF(away) | 3-4 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2017 | Middelfart(home) | 3-1 | 2nd Division - Group 2 |
| Aug 13, 2017 | Dalum(home) | 2-1 | 2nd Division - Group 2 |
| Aug 9, 2017 | Fremad Amager(home) | 0-5 | DBU Pokalen |
| Aug 5, 2017 | HIK(away) | 1-1 | 2nd Division - Group 2 |
| Nov 5, 2016 | Holbæk B&I(home) | 2-1 | 2. Division |
How many goals should we expect?
Næsby score 1.4 and concede 1.8 goals per match over their last 15; Avarta score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Næsby | 1.4 | 1.8 | 5 | 9/15 | 9/15 |
| Avarta | 1.7 | 1.2 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Avarta | 26 | 6 | 6 | 14 | 25 | 43 | 24 |
A question about Næsby vs Avarta?
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