Harelbeke vs Merelbeke: result 2-1 and analysis
Second Amateur Division - VFV AVFV A - 8Kick-off on October 20, 2019 at 01:00 PM (UTC)Forestiersstadion, Harelbeke
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What was the result of Harelbeke vs Merelbeke?
Harelbeke won 2-1 on October 20, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Harelbeke have 6 wins, 6 draws and 3 defeats; Merelbeke have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Voorwaarts Zwevezele(away) | 1-0 | Second Amateur Division - VFV A |
| Oct 6, 2019 | Sint-Niklaas(home) | 2-1 | Second Amateur Division - VFV A |
| Sep 29, 2019 | Westhoek(away) | 4-0 | Second Amateur Division - VFV A |
| Sep 22, 2019 | VW Hamme(home) | 0-0 | Second Amateur Division - VFV A |
| Sep 14, 2019 | Oudenaarde(away) | 1-3 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Sparta Petegem(home) | 1-4 | Second Amateur Division - VFV A |
| Oct 5, 2019 | Ronse(away) | 1-3 | Second Amateur Division - VFV A |
| Sep 29, 2019 | KRC Gent(home) | 0-2 | Second Amateur Division - VFV A |
| Sep 22, 2019 | Knokke(away) | 0-3 | Second Amateur Division - VFV A |
| Sep 15, 2019 | Gullegem(home) | 0-0 | Second Amateur Division - VFV A |
How many goals should we expect?
Harelbeke score 1.1 and concede 0.8 goals per match over their last 15; Merelbeke score 0.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Harelbeke | 1.1 | 0.8 | 7 | 6/15 | 6/15 |
| Merelbeke | 0.9 | 1.6 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Harelbeke | 30 | 10 | 11 | 9 | 57 | 47 | 41 |
A question about Harelbeke vs Merelbeke?
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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