Heist vs Rupel Boom: result 1-0 and analysis
First Amateur DivisionRegular Season - 2Kick-off on September 7, 2019 at 06:00 PM (UTC)Gemeentelijk Sportcentrum, Heist-Op-Den-Berg
Full time
What was the result of Heist vs Rupel Boom?
Heist won 1-0 on September 7, 2019.
Goalscorers
- 8′H. OdutayoHeist
Official lineup for Heist vs Rupel Boom
The starting elevens fielded at kick-off.
Heist
- LL. Bamona
- HH. Odutayo
- CCédric Mateso-Liongola
- TT. Englebert
- JJ. Absisan
- FF. Gendebien
- RR. Benhamou
- DD. Wijns
- BBart Webers
- RRoel Tambeur
- FF. Van Aerschot
Rupel Boom
- YYannick Put
- NNico Binst
- FFrédéric Farin
- JJonas Laureys
- NN. Spaenhoven
- JJ. Schaessens
- YY. Augustijnen
- SS. Rubanguka
- DDimitri Daeseleire
- SS. Somers
- MMaxim Figys
What is the recent form of both teams?
Over their last 4 matches in all competitions, Heist have 1 win, 2 draws and 1 defeat; Rupel Boom have 3, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Liège(away) | 3-0 | First Amateur Division |
| Aug 24, 2019 | Lokeren(home) | 0-4 | Cup |
| Aug 18, 2019 | Deinze(away) | 0-0 | Cup |
| Aug 11, 2019 | Olsa Brakel(away) | 1-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Deinze(home) | 0-2 | First Amateur Division |
| Aug 25, 2019 | Vosselaar(home) | 4-2 | Cup |
| Aug 18, 2019 | Sint-Job(away) | 4-3 | Cup |
| Aug 10, 2019 | Racing Waregem(home) | 4-0 | Cup |
How many goals should we expect?
Heist score 1.0 and concede 1.3 goals per match over their last 4; Rupel Boom score 3.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Heist | 1.0 | 1.3 | 2 | 1/4 | 2/4 |
| Rupel Boom | 3.0 | 1.8 | 1 | 2/4 | 3/4 |
Over the last 4 matches in all competitions.
A question about Heist vs Rupel Boom?
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