Næsby vs Sundby: result 0-2 and analysis
3. DivisionRegular Season - 11Kick-off on October 12, 2024 at 12:00 PM (UTC)ALPI Arena Næsby, Odense
Full time
What was the result of Næsby vs Sundby?
Sundby won 0-2 on October 12, 2024.
Goalscorers
- 17′?Sundby
- 25′?Sundby
What is the recent form of both teams?
Over their last 15 matches in all competitions, Næsby have 9 wins, 1 draw and 5 defeats; Sundby have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2024 | Silkeborg KFUM(home) | 4-1 | 3. Division |
| Sep 29, 2024 | Brabrand(away) | 0-1 | 3. Division |
| Sep 24, 2024 | B 93(home) | 2-1 | DBU Pokalen |
| Sep 21, 2024 | Holbæk B&I(home) | 2-3 | 3. Division |
| Sep 15, 2024 | Lyseng(away) | 0-1 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2024 | Avarta(home) | 2-0 | 3. Division |
| Sep 28, 2024 | Silkeborg KFUM(away) | 0-0 | 3. Division |
| Sep 20, 2024 | Brønshøj(home) | 1-3 | 3. Division |
| Sep 15, 2024 | Brabrand(away) | 0-4 | 3. Division |
| Sep 6, 2024 | Holbæk B&I(home) | 1-0 | 3. Division |
How many goals should we expect?
Næsby score 3.1 and concede 1.4 goals per match over their last 15; Sundby score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Næsby | 3.1 | 1.4 | 2 | 10/15 | 10/15 |
| Sundby | 1.1 | 1.5 | 4 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Næsby sit 5th in 3. Division (17 points from 10 matches) and Sundby sit 10th (10 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Næsby | 10 | 5 | 2 | 3 | 20 | 14 | 17 |
| 10 | Sundby | 11 | 3 | 1 | 7 | 16 | 19 | 10 |
A question about Næsby vs Sundby?
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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