Naestved vs Middelfart: result 4-0 and analysis
2. DivisionGroup 1 - 8Kick-off on September 19, 2021 at 11:00 AM (UTC)MTM Service Park, Næstved
Full time
What was the result of Naestved vs Middelfart?
Naestved won 4-0 on September 19, 2021.
Goalscorers
- 7′A. HassanNaestved
- 29′?Naestved
- 80′?Naestved
- 84′?Naestved
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naestved have 8 wins, 3 draws and 4 defeats; Middelfart have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2021 | Aarhus Fremad(away) | 1-1 | 2. Division |
| Sep 5, 2021 | AB Copenhagen(home) | 2-1 | 2. Division |
| Aug 27, 2021 | B 93(away) | 2-1 | 2. Division |
| Aug 21, 2021 | HIK(away) | 2-2 | 2. Division |
| Aug 18, 2021 | Hillerød(home) | 1-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2021 | B 93(away) | 0-4 | 2. Division |
| Sep 4, 2021 | Thisted FC(home) | 0-0 | 2. Division |
| Sep 1, 2021 | Bredballe(away) | 4-1 | DBU Pokalen |
| Aug 27, 2021 | Kolding IF(away) | 1-1 | 2. Division |
| Aug 21, 2021 | AB Copenhagen(home) | 1-1 | 2. Division |
How many goals should we expect?
Naestved score 1.9 and concede 1.3 goals per match over their last 15; Middelfart score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naestved | 1.9 | 1.3 | 4 | 9/15 | 8/15 |
| Middelfart | 1.7 | 1.7 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Naestved sit 6th in 2. Division (16 points from 11 matches) and Middelfart sit 5th (17 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Middelfart | 11 | 4 | 5 | 2 | 19 | 13 | 17 |
| 6 | Naestved | 11 | 3 | 7 | 1 | 15 | 13 | 16 |
A question about Naestved vs Middelfart?
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