Betekom vs Racing Mechelen: result 3-1 and analysis
Third Amateur Division - VFV BMatchday 9Kick-off on October 28, 2018 at 02:00 PM (UTC)Grote Baan, Betekom
Full time
What was the result of Betekom vs Racing Mechelen?
Betekom won 3-1 on October 28, 2018.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Betekom have 2 wins, 3 draws and 3 defeats; Racing Mechelen have 1, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Nijlen(away) | 1-1 | Third Amateur Division - VFV B |
| Oct 13, 2018 | Eendracht Termien(home) | 2-3 | Third Amateur Division - VFV B |
| Oct 7, 2018 | Helson Helchteren(away) | 2-2 | Third Amateur Division - VFV B |
| Sep 30, 2018 | Esperanza Pelt(home) | 3-1 | Third Amateur Division - VFV B |
| Sep 23, 2018 | Ternesse(away) | 1-1 | Third Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Wellen(home) | 1-2 | Third Amateur Division - VFV B |
| Oct 13, 2018 | Houtvenne(away) | 4-1 | Third Amateur Division - VFV B |
| Oct 6, 2018 | Bornem(home) | 0-0 | Third Amateur Division - VFV B |
| Sep 29, 2018 | Leopoldsburg(away) | 1-2 | Third Amateur Division - VFV B |
| Sep 22, 2018 | Zwarte Leeuw(home) | 1-2 | Third Amateur Division - VFV B |
How many goals should we expect?
Betekom score 2.0 and concede 2.3 goals per match over their last 8; Racing Mechelen score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Betekom | 2.0 | 2.3 | 0 | 8/8 | 6/8 |
| Racing Mechelen | 1.0 | 1.4 | 2 | 5/8 | 5/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Betekom | 30 | 5 | 4 | 21 | 33 | 72 | 19 |
A question about Betekom vs Racing Mechelen?
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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