Næsby vs Sydvest: result 3-1 and analysis
2nd Division - Group 2Regular Season - 1Kick-off on August 6, 2016 at 01:00 PM (UTC)ALPI Arena Næsby, Odense
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What was the result of Næsby vs Sydvest?
Næsby won 3-1 on August 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Næsby have 3 wins, 3 draws and 9 defeats; Sydvest have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2015 | Marienlyst(home) | 1-2 | 2nd Division - Group 2 |
| Oct 31, 2015 | Nykobing FC(away) | 1-2 | 2nd Division - Group 2 |
| Oct 24, 2015 | B 93(home) | 0-0 | 2nd Division - Group 2 |
| Oct 17, 2015 | Dalum(away) | 4-1 | 2nd Division - Group 2 |
| Oct 10, 2015 | Frem(home) | 0-3 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2016 | Rishøj(home) | 3-2 | Denmark Series - Group 2 |
| Jun 4, 2016 | Tarup-Paarup(away) | 3-1 | Denmark Series - Group 2 |
| May 28, 2016 | Varde IF Elite(away) | 2-0 | Denmark Series - Group 2 |
| May 21, 2016 | Greve(home) | 3-2 | Denmark Series - Group 2 |
| May 14, 2016 | Taastrup(away) | 1-1 | Denmark Series - Group 2 |
How many goals should we expect?
Næsby score 0.9 and concede 2.0 goals per match over their last 15; Sydvest score 2.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Næsby | 0.9 | 2.0 | 3 | 6/15 | 9/15 |
| Sydvest | 2.5 | 0.9 | 5 | 9/15 | 11/15 |
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 Sydvest sit 10th (18 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Næsby | 17 | 4 | 6 | 7 | 20 | 27 | 18 |
| 10 | Sydvest | 17 | 5 | 3 | 9 | 22 | 34 | 18 |
A question about Næsby vs Sydvest?
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