Gullegem vs Ronse: result 2-2 and analysis
Second Amateur Division - VFV ARegular Season - 11Kick-off on November 11, 2018 at 02:00 PM (UTC)Stadion FC Gullegem, Gullegem
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What was the result of Gullegem vs Ronse?
Gullegem and Ronse drew 2-2 on November 11, 2018.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Gullegem have 2 wins, 1 draw and 7 defeats; Ronse have 3, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Eppegem(away) | 2-3 | Second Amateur Division - VFV A |
| Oct 28, 2018 | Sint-Eloois-Winkel(home) | 1-2 | Second Amateur Division - VFV A |
| Oct 20, 2018 | Tempo Overijse(away) | 0-1 | Second Amateur Division - VFV A |
| Oct 14, 2018 | Dikkelvenne(home) | 0-2 | Second Amateur Division - VFV A |
| Oct 7, 2018 | Londerzeel(away) | 4-1 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Westhoek(home) | 1-3 | Second Amateur Division - VFV A |
| Oct 28, 2018 | Olympia Wijgmaal(away) | 2-4 | Second Amateur Division - VFV A |
| Oct 20, 2018 | Mandel United(home) | 0-1 | Second Amateur Division - VFV A |
| Oct 13, 2018 | Sparta Petegem(away) | 1-0 | Second Amateur Division - VFV A |
| Oct 7, 2018 | Eppegem(away) | 5-0 | Second Amateur Division - VFV A |
How many goals should we expect?
Gullegem score 1.1 and concede 1.6 goals per match over their last 10; Ronse score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gullegem | 1.1 | 1.6 | 1 | 6/10 | 6/10 |
| Ronse | 1.3 | 1.3 | 4 | 4/10 | 5/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Gullegem | 30 | 8 | 8 | 14 | 47 | 53 | 32 |
A question about Gullegem vs Ronse?
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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