Eppegem vs KRC Gent: result 1-0 and analysis
Second Amateur Division - VFV ARegular Season - 14Kick-off on December 2, 2018 at 01:30 PM (UTC)Complex Den Dries, Eppegem
Full time
What was the result of Eppegem vs KRC Gent?
Eppegem won 1-0 on December 2, 2018.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Eppegem have 5 wins, 2 draws and 6 defeats; KRC Gent have 6, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2018 | Olsa Brakel(away) | 0-1 | Second Amateur Division - VFV A |
| Nov 18, 2018 | Diegem Sport(home) | 3-0 | Second Amateur Division - VFV A |
| Nov 11, 2018 | Toekomst Menen(away) | 0-4 | Second Amateur Division - VFV A |
| Nov 4, 2018 | Gullegem(home) | 3-2 | Second Amateur Division - VFV A |
| Oct 28, 2018 | Westhoek(away) | 2-3 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2018 | Sint-Eloois-Winkel(home) | 2-1 | Second Amateur Division - VFV A |
| Nov 18, 2018 | Tempo Overijse(away) | 2-0 | Second Amateur Division - VFV A |
| Nov 10, 2018 | Dikkelvenne(home) | 6-2 | Second Amateur Division - VFV A |
| Nov 4, 2018 | Londerzeel(away) | 2-1 | Second Amateur Division - VFV A |
| Oct 27, 2018 | Harelbeke(home) | 1-1 | Second Amateur Division - VFV A |
How many goals should we expect?
Eppegem score 1.5 and concede 2.4 goals per match over their last 13; KRC Gent score 2.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eppegem | 1.5 | 2.4 | 3 | 5/13 | 11/13 |
| KRC Gent | 2.2 | 1.3 | 3 | 9/13 | 7/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | KRC Gent | 30 | 9 | 7 | 14 | 46 | 66 | 34 |
A question about Eppegem vs KRC Gent?
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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