Bilzerse Waltwilder vs Nijlen: result 1-4 and analysis
Third Amateur Division - VFV BRegular Season - 11Kick-off on November 10, 2018 at 06:30 PM (UTC)Stadion Waltwilder, Bilzen
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What was the result of Bilzerse Waltwilder vs Nijlen?
Nijlen won 1-4 on November 10, 2018.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Bilzerse Waltwilder have 3 wins, 3 draws and 4 defeats; Nijlen have 1, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Eendracht Termien(away) | 2-1 | Third Amateur Division - VFV B |
| Oct 31, 2018 | Lyra(home) | 2-4 | Third Amateur Division - VFV B |
| Oct 27, 2018 | Helson Helchteren(home) | 5-2 | Third Amateur Division - VFV B |
| Oct 20, 2018 | Esperanza Pelt(away) | 3-4 | Third Amateur Division - VFV B |
| Oct 13, 2018 | Ternesse(home) | 6-1 | Third Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Sint-Lenaarts(home) | 0-4 | Third Amateur Division - VFV B |
| Oct 27, 2018 | Lyra(away) | 1-3 | Third Amateur Division - VFV B |
| Oct 20, 2018 | Betekom(home) | 1-1 | Third Amateur Division - VFV B |
| Oct 13, 2018 | Wellen(away) | 1-1 | Third Amateur Division - VFV B |
| Oct 6, 2018 | Houtvenne(home) | 1-4 | Third Amateur Division - VFV B |
How many goals should we expect?
Bilzerse Waltwilder score 2.4 and concede 2.2 goals per match over their last 10; Nijlen score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bilzerse Waltwilder | 2.4 | 2.2 | 0 | 9/10 | 8/10 |
| Nijlen | 0.8 | 1.8 | 1 | 7/10 | 5/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Nijlen | 30 | 19 | 6 | 5 | 50 | 30 | 63 |
A question about Bilzerse Waltwilder vs Nijlen?
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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