Heist vs Lyra-Lierse Berlaar: result 1-2 and analysis
First Amateur DivisionVV - 5Kick-off on September 28, 2024 at 06:00 PM (UTC)Gemeentelijk Sportcentrum, Heist-Op-Den-Berg
Full time
What was the result of Heist vs Lyra-Lierse Berlaar?
Lyra-Lierse Berlaar won 1-2 on September 28, 2024.
Goalscorers
- 38′S. KilLyra-Lierse Berlaar
- 42′J. ColmanHeist
- 62′J. PefferLyra-Lierse Berlaar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Heist have 3 wins, 4 draws and 8 defeats; Lyra-Lierse Berlaar have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2024 | Dessel Sport(away) | 1-0 | First Amateur Division |
| Sep 14, 2024 | Thes Sport(home) | 0-1 | First Amateur Division |
| Sep 7, 2024 | Oud-Heverlee Leuven II(home) | 1-1 | First Amateur Division |
| Sep 1, 2024 | Cercle Brugge II(away) | 2-4 | First Amateur Division |
| Aug 17, 2024 | Diksmuide(home) | 0-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2024 | Merelbeke(home) | 4-1 | First Amateur Division |
| Sep 18, 2024 | Thes Sport(away) | 3-3 | First Amateur Division |
| Sep 15, 2024 | Tienen(away) | 3-0 | First Amateur Division |
| Sep 8, 2024 | Meux(home) | 3-0 | Cup |
| Aug 31, 2024 | Ninove(home) | 2-2 | First Amateur Division |
How many goals should we expect?
Heist score 0.9 and concede 2.1 goals per match over their last 15; Lyra-Lierse Berlaar score 2.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Heist | 0.9 | 2.1 | 3 | 7/15 | 6/15 |
| Lyra-Lierse Berlaar | 2.4 | 1.0 | 6 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Lyra-Lierse Berlaar | 13 | 6 | 5 | 2 | 22 | 15 | 23 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy