Skjold Sæby vs Næstved II: result 1-1 and analysis
Denmark Series - Group 2Group 2 · Matchday 5Kick-off on August 27, 2022 at 02:00 PM (UTC)Fælledparken Kunst, København
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What was the result of Skjold Sæby vs Næstved II?
Skjold Sæby and Næstved II drew 1-1 on August 27, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 5 wins, 1 draw and 9 defeats; Næstved II have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2022 | Avarta(away) | 0-2 | Denmark Series - Group 2 |
| Aug 17, 2022 | KFUM(home) | 2-0 | Denmark Series - Group 2 |
| Aug 12, 2022 | Allerød(away) | 1-1 | Denmark Series - Group 2 |
| Aug 6, 2022 | Frederikssund(home) | 0-3 | Denmark Series - Group 2 |
| Sep 1, 2021 | FC Helsingor(home) | 1-3 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2022 | LSF(home) | 3-2 | Denmark Series - Group 2 |
| Aug 17, 2022 | Slagelse B&I(away) | 0-4 | Denmark Series - Group 2 |
| Aug 12, 2022 | Avarta(away) | 1-3 | Denmark Series - Group 2 |
| Aug 7, 2022 | KFUM(home) | 2-2 | Denmark Series - Group 2 |
| Jun 20, 2015 | LSF(home) | 1-3 | Denmark Series - Group 2 |
How many goals should we expect?
Skjold Sæby score 1.1 and concede 1.9 goals per match over their last 15; Næstved II score 1.5 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.1 | 1.9 | 3 | 7/15 | 10/15 |
| Næstved II | 1.5 | 2.4 | 0 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Skjold Sæby | 18 | 7 | 5 | 6 | 29 | 29 | 26 |
A question about Skjold Sæby vs Næstved II?
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