Bocholt vs Temse: result 2-1 and analysis
Second Amateur Division - VFV BRegular Season - 12Kick-off on November 18, 2018 at 01:30 PM (UTC)Axor Arena, Bocholt
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What was the result of Bocholt vs Temse?
Bocholt won 2-1 on November 18, 2018.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Bocholt have 8 wins, 0 draws and 3 defeats; Temse have 8, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2018 | Vosselaar(away) | 2-1 | Second Amateur Division - VFV B |
| Nov 4, 2018 | Sporting Hasselt(home) | 1-2 | Second Amateur Division - VFV B |
| Oct 27, 2018 | Hoogstraten(away) | 1-2 | Second Amateur Division - VFV B |
| Oct 20, 2018 | Turnhout(home) | 2-0 | Second Amateur Division - VFV B |
| Oct 13, 2018 | City Pirates Antwerpen(away) | 2-1 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2018 | Heur Tongeren(home) | 2-1 | Second Amateur Division - VFV B |
| Nov 4, 2018 | VW Hamme(home) | 1-1 | Second Amateur Division - VFV B |
| Oct 28, 2018 | Vosselaar(away) | 5-0 | Second Amateur Division - VFV B |
| Oct 20, 2018 | Sporting Hasselt(home) | 1-1 | Second Amateur Division - VFV B |
| Oct 13, 2018 | Hoogstraten(away) | 3-1 | Second Amateur Division - VFV B |
How many goals should we expect?
Bocholt score 2.1 and concede 1.1 goals per match over their last 11; Temse score 2.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bocholt | 2.1 | 1.1 | 4 | 7/11 | 9/11 |
| Temse | 2.5 | 1.1 | 2 | 9/11 | 8/11 |
Over the last 11 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 Temse?
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