Gullegem vs Lokeren-Temse: result 3-1 and analysis
Second Amateur Division - VFV AVFV A - 6Kick-off on October 10, 2021 at 01:00 PM (UTC)Stadion FC Gullegem, Gullegem
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What was the result of Gullegem vs Lokeren-Temse?
Gullegem won 3-1 on October 10, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gullegem have 4 wins, 1 draw and 10 defeats; Lokeren-Temse have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | RFC Wetteren(away) | 0-1 | Second Amateur Division - VFV A |
| Sep 26, 2021 | Harelbeke(home) | 1-0 | Second Amateur Division - VFV A |
| Sep 19, 2021 | Dikkelvenne(away) | 2-3 | Second Amateur Division - VFV A |
| Sep 11, 2021 | Ninove(home) | 1-3 | Second Amateur Division - VFV A |
| Sep 5, 2021 | Voorwaarts Zwevezele(away) | 1-3 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Toekomst Menen(home) | 1-1 | Second Amateur Division - VFV A |
| Sep 25, 2021 | Merelbeke(home) | 3-0 | Second Amateur Division - VFV A |
| Sep 18, 2021 | RFC Wetteren(away) | 1-0 | Second Amateur Division - VFV A |
| Sep 15, 2021 | Seraing United(home) | 0-3 | Cup |
| Sep 11, 2021 | Harelbeke(home) | 1-0 | Second Amateur Division - VFV A |
How many goals should we expect?
Gullegem score 1.0 and concede 1.8 goals per match over their last 15; Lokeren-Temse score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gullegem | 1.0 | 1.8 | 4 | 6/15 | 8/15 |
| Lokeren-Temse | 1.5 | 0.8 | 8 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Gullegem | 30 | 8 | 8 | 14 | 47 | 53 | 32 |
A question about Gullegem vs Lokeren-Temse?
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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