Holbæk B&I vs Næsby: result 0-2 and analysis
2. DivisionGroup 1 - 17Kick-off on April 3, 2021 at 12:00 PM (UTC)Holbæk Sportsby, Holbæk
Full time
What was the result of Holbæk B&I vs Næsby?
Næsby won 0-2 on April 3, 2021.
Goalscorers
- 4′?Næsby
- 39′?Næsby
What is the recent form of both teams?
Over their last 15 matches in all competitions, Holbæk B&I have 5 wins, 2 draws and 8 defeats; Næsby have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2021 | Aarhus Fremad(away) | 3-1 | 2. Division |
| Mar 20, 2021 | VSK Århus(home) | 0-2 | 2. Division |
| Mar 6, 2021 | B 93(away) | 2-6 | 2. Division |
| Nov 21, 2020 | Brabrand(home) | 3-1 | 2. Division |
| Nov 14, 2020 | Frem(away) | 0-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2021 | Middelfart(home) | 0-4 | 2. Division |
| Mar 20, 2021 | Aarhus Fremad(away) | 1-1 | 2. Division |
| Mar 13, 2021 | SfB-Oure(home) | 3-0 | 2. Division |
| Feb 27, 2021 | Jammerbugt(away) | 1-4 | 2. Division |
| Nov 14, 2020 | VSK Århus(home) | 0-0 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Holbæk B&I wins, 1 draw, 0 Næsby wins.
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2020 | Næsby 2-2 Holbæk B&I | 2. Division |
How many goals should we expect?
Holbæk B&I score 1.4 and concede 1.9 goals per match over their last 15; Næsby score 1.3 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Holbæk B&I | 1.4 | 1.9 | 3 | 6/15 | 10/15 |
| Næsby | 1.3 | 2.4 | 2 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Holbæk B&I vs Næsby?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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