Hillerød vs Naestved: result 2-2 and analysis
2. DivisionRegular Season - 14Kick-off on November 4, 2017 at 01:00 PM (UTC)Right to Dream Park, Farum
Full time
What was the result of Hillerød vs Naestved?
Hillerød and Naestved drew 2-2 on November 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hillerød have 3 wins, 3 draws and 9 defeats; Naestved have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Brønshøj(away) | 1-2 | 2. Division |
| Oct 20, 2017 | Hvidovre(away) | 3-3 | 2. Division |
| Oct 14, 2017 | AB Copenhagen(home) | 2-1 | 2. Division |
| Oct 7, 2017 | Skovshoved(away) | 0-3 | 2. Division |
| Sep 30, 2017 | Frem(home) | 2-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | AB Copenhagen(home) | 1-1 | 2. Division |
| Oct 21, 2017 | Skovshoved(away) | 3-2 | 2. Division |
| Oct 15, 2017 | B 93(home) | 2-0 | 2. Division |
| Oct 8, 2017 | Frem(home) | 1-0 | 2. Division |
| Sep 30, 2017 | Brønshøj(away) | 1-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Hillerød wins, 0 draws, 1 Naestved win.
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2017 | Naestved 5-2 Hillerød | 2. Division |
How many goals should we expect?
Hillerød score 1.3 and concede 2.3 goals per match over their last 15; Naestved score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hillerød | 1.3 | 2.3 | 0 | 9/15 | 11/15 |
| Naestved | 1.9 | 1.3 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Naestved | 11 | 3 | 7 | 1 | 15 | 13 | 16 |
A question about Hillerød vs Naestved?
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