Naestved vs Frem: result 1-0 and analysis
2. DivisionRegular Season - 10Kick-off on October 8, 2017 at 11:00 AM (UTC)MTM Service Park, Næstved
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What was the result of Naestved vs Frem?
Naestved won 1-0 on October 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naestved have 6 wins, 2 draws and 7 defeats; Frem have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Brønshøj(away) | 1-2 | 2. Division |
| Sep 24, 2017 | Hvidovre(home) | 1-2 | 2. Division |
| Sep 20, 2017 | HB Koge(home) | 1-3 | DBU Pokalen |
| Sep 16, 2017 | AB Copenhagen(away) | 1-1 | 2. Division |
| Sep 10, 2017 | Hillerød(home) | 5-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Hillerød(away) | 2-2 | 2. Division |
| Sep 23, 2017 | AB Copenhagen(home) | 4-3 | 2. Division |
| Sep 16, 2017 | Brønshøj(away) | 3-0 | 2. Division |
| Sep 9, 2017 | B 93(home) | 3-3 | 2. Division |
| Sep 2, 2017 | Hvidovre(home) | 0-2 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Naestved win, 1 draw, 0 Frem wins.
| Date | Score | Competition |
|---|---|---|
| Aug 19, 2017 | Frem 0-1 Naestved | 2. Division |
| Aug 28, 2013 | Frem 2-2 Naestved | DBU Pokalen |
How many goals should we expect?
Naestved score 1.5 and concede 1.5 goals per match over their last 15; Frem score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naestved | 1.5 | 1.5 | 3 | 9/15 | 10/15 |
| Frem | 1.6 | 1.3 | 4 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Naestved | 12 | 4 | 7 | 1 | 17 | 14 | 19 |
A question about Naestved vs Frem?
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