Sint-Dymphna vs Nijlen: result 1-2 and analysis
Provincial - AntwerpenAntwerpen - 18Kick-off on January 11, 2020 at 07:00 PM (UTC)Sportpark St. Dimpna, Geel
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What was the result of Sint-Dymphna vs Nijlen?
Nijlen won 1-2 on January 11, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sint-Dymphna have 1 wins, 4 draws and 10 defeats; Nijlen have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 21, 2019 | Racing Mechelen(away) | 0-2 | Provincial - Antwerpen |
| Dec 14, 2019 | Ternesse(home) | 0-0 | Provincial - Antwerpen |
| Dec 7, 2019 | K. Kontich(home) | 1-1 | Provincial - Antwerpen |
| Dec 1, 2019 | VC Herentals(away) | 0-4 | Provincial - Antwerpen |
| Nov 24, 2019 | Hoboken(away) | 3-2 | Provincial - Antwerpen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2020 | Hoboken(home) | 1-0 | Provincial - Antwerpen |
| Dec 13, 2019 | Berlaar-Heikant(away) | 0-6 | Provincial - Antwerpen |
| Dec 7, 2019 | De Kempen(away) | 2-2 | Provincial - Antwerpen |
| Nov 30, 2019 | Eendracht Zoersel(home) | 5-3 | Provincial - Antwerpen |
| Nov 24, 2019 | 's Gravenwezel-Schilde(away) | 2-2 | Provincial - Antwerpen |
What does the head-to-head say?
Across the last 1 meetings: 0 Sint-Dymphna win(s), 0 draw(s), 1 Nijlen win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2019 | Nijlen 2-1 Sint-Dymphna | Provincial - Antwerpen |
Last archived meeting: Nijlen vs Sint-Dymphna on Sep 14, 2019
How many goals should we expect?
Sint-Dymphna score 1.0 and concede 2.8 goals per match over their last 15; Nijlen score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sint-Dymphna | 1.0 | 2.8 | 1 | 10/15 | 9/15 |
| Nijlen | 1.5 | 1.8 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
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