Bocholt vs Olympia Wijgmaal: result 1-0 and analysis
Second Amateur Division - VFV BVFV B - 10Kick-off on November 3, 2019 at 01:30 PM (UTC)Axor Arena, Bocholt
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What was the result of Bocholt vs Olympia Wijgmaal?
Bocholt won 1-0 on November 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bocholt have 8 wins, 3 draws and 4 defeats; Olympia Wijgmaal have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2019 | Sporting Hasselt(away) | 1-1 | Second Amateur Division - VFV B |
| Oct 20, 2019 | Londerzeel(away) | 1-1 | Second Amateur Division - VFV B |
| Oct 12, 2019 | Tienen(home) | 3-0 | Second Amateur Division - VFV B |
| Oct 6, 2019 | Berchem Sport(away) | 2-2 | Second Amateur Division - VFV B |
| Sep 29, 2019 | Vosselaar(home) | 3-0 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Londerzeel(home) | 4-1 | Second Amateur Division - VFV B |
| Oct 20, 2019 | Tienen(away) | 1-4 | Second Amateur Division - VFV B |
| Oct 13, 2019 | Berchem Sport(home) | 2-1 | Second Amateur Division - VFV B |
| Oct 6, 2019 | Vosselaar(away) | 2-4 | Second Amateur Division - VFV B |
| Sep 29, 2019 | Hades(home) | 1-4 | Second Amateur Division - VFV B |
How many goals should we expect?
Bocholt score 2.3 and concede 0.9 goals per match over their last 15; Olympia Wijgmaal score 2.3 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bocholt | 2.3 | 0.9 | 6 | 8/15 | 10/15 |
| Olympia Wijgmaal | 2.3 | 2.2 | 1 | 13/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Bocholt | 30 | 8 | 7 | 15 | 50 | 59 | 31 |
A question about Bocholt vs Olympia Wijgmaal?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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