Dendermonde vs Haasdonk: result 1-1 and analysis
Provincial - Oost-VlaanderenOost-Vlaanderen - 13Kick-off on November 23, 2019 at 07:00 PM (UTC)Terrain Dendermonde, Dendermonde
Full time
What was the result of Dendermonde vs Haasdonk?
Dendermonde and Haasdonk drew 1-1 on November 23, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Dendermonde have 6 wins, 0 draws and 7 defeats; Haasdonk have 1, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Berlare(away) | 3-0 | Provincial - Oost-Vlaanderen |
| Nov 10, 2019 | HO Kalken(home) | 1-2 | Provincial - Oost-Vlaanderen |
| Nov 3, 2019 | Bambrugge(away) | 3-4 | Provincial - Oost-Vlaanderen |
| Oct 26, 2019 | Ardennen(home) | 0-1 | Provincial - Oost-Vlaanderen |
| Oct 20, 2019 | Voorde Appelterre(away) | 1-2 | Provincial - Oost-Vlaanderen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Eendracht Aalter(home) | 2-3 | Provincial - Oost-Vlaanderen |
| Nov 10, 2019 | Excelsior Mariakerke(away) | 2-0 | Provincial - Oost-Vlaanderen |
| Nov 3, 2019 | Elene-Grotenberge(home) | 1-3 | Provincial - Oost-Vlaanderen |
| Oct 27, 2019 | Eendracht Zele(away) | 0-1 | Provincial - Oost-Vlaanderen |
| Oct 19, 2019 | Jong Zulte(home) | 0-0 | Provincial - Oost-Vlaanderen |
How many goals should we expect?
Dendermonde score 1.7 and concede 1.6 goals per match over their last 13; Haasdonk score 0.8 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dendermonde | 1.7 | 1.6 | 4 | 7/13 | 10/13 |
| Haasdonk | 0.8 | 2.3 | 2 | 5/12 | 7/12 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Haasdonk | 28 | 17 | 5 | 6 | 78 | 38 | 56 |
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