Kolding IF vs Hvidovre: result 2-1 and analysis
1. DivisionRegular Season - 1Kick-off on July 28, 2019 at 01:00 PM (UTC)Autocentralen Park, Kolding
Full time
What was the result of Kolding IF vs Hvidovre?
Kolding IF won 2-1 on July 28, 2019.
Goalscorers
- 7′S. SmidtKolding IF
- 39′M. HansenKolding IF
- 74′Nicolaj Moesgaard AggerHvidovre (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolding IF have 9 wins, 3 draws and 3 defeats; Hvidovre have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Aarhus Fremad(home) | 0-0 | 2. Division |
| Apr 6, 2019 | Jammerbugt(away) | 1-0 | 2. Division |
| Mar 29, 2019 | Skive(home) | 3-5 | 2. Division |
| Mar 23, 2019 | Odder(home) | 1-1 | 2. Division |
| Mar 16, 2019 | Tarup-Paarup(away) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | FC Fredericia(away) | 2-2 | 1. Division |
| May 19, 2019 | Viborg(home) | 0-1 | 1. Division |
| May 12, 2019 | Fremad Amager(home) | 1-2 | 1. Division |
| May 8, 2019 | Nykobing FC(away) | 0-2 | 1. Division |
| May 5, 2019 | Naestved(home) | 3-1 | 1. Division |
How many goals should we expect?
Kolding IF score 1.9 and concede 1.0 goals per match over their last 15; Hvidovre score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolding IF | 1.9 | 1.0 | 6 | 7/15 | 6/15 |
| Hvidovre | 0.9 | 1.3 | 2 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kolding IF sit 10th in 1. Division (3 points from 5 matches) and Hvidovre sit 3rd (11 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Hvidovre | 5 | 3 | 2 | 0 | 8 | 4 | 11 |
| 10 | Kolding IF | 5 | 0 | 3 | 2 | 6 | 8 | 3 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy