Lokeren-Temse vs KRC Gent: result 0-2 and analysis
Second Amateur Division - VFV AVFV A - 7Kick-off on October 16, 2021 at 06:00 PM (UTC)Daknamstadion, Lokeren
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What was the result of Lokeren-Temse vs KRC Gent?
KRC Gent won 0-2 on October 16, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokeren-Temse have 9 wins, 3 draws and 3 defeats; KRC Gent have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | Gullegem(away) | 1-3 | Second Amateur Division - VFV A |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | RFC Wetteren(home) | 0-2 | Second Amateur Division - VFV A |
| Oct 2, 2021 | Harelbeke(away) | 1-0 | Second Amateur Division - VFV A |
| Sep 25, 2021 | Dikkelvenne(home) | 1-1 | Second Amateur Division - VFV A |
| Sep 18, 2021 | Ninove(away) | 0-2 | Second Amateur Division - VFV A |
| Sep 11, 2021 | Voorwaarts Zwevezele(home) | 2-4 | Second Amateur Division - VFV A |
How many goals should we expect?
Lokeren-Temse score 1.5 and concede 0.9 goals per match over their last 15; KRC Gent score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokeren-Temse | 1.5 | 0.9 | 8 | 5/15 | 8/15 |
| KRC Gent | 1.6 | 1.5 | 2 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | KRC Gent | 30 | 9 | 7 | 14 | 46 | 66 | 34 |
A question about Lokeren-Temse 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