Diksmuide vs Voorde Appelterre: result 1-0 and analysis
Second Amateur Division - VFV AVFV A - 5Kick-off on September 30, 2026 at 06:00 PM (UTC)Sportpark de Pluimen, Diksmuide
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What was the result of Diksmuide vs Voorde Appelterre?
Diksmuide won 1-0 on September 30, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diksmuide have 8 wins, 1 draw and 6 defeats; Voorde Appelterre have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2026 | Lommel United(home) | 0-2 | Cup |
| Sep 19, 2026 | KRC Gent(away) | 2-1 | Second Amateur Division - VFV A |
| Sep 12, 2026 | FC Lebbeke(home) | 3-1 | Second Amateur Division - VFV A |
| Sep 5, 2026 | HO Kalken(home) | 1-0 | Second Amateur Division - VFV A |
| Aug 30, 2026 | Torhout(away) | 2-3 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2026 | VW Hamme(home) | 1-3 | Second Amateur Division - VFV A |
| Sep 13, 2026 | RFC Wetteren(away) | 2-0 | Second Amateur Division - VFV A |
| Sep 6, 2026 | Sparta Petegem(home) | 1-1 | Second Amateur Division - VFV A |
| Aug 29, 2026 | KRC Gent(away) | 1-0 | Second Amateur Division - VFV A |
| Aug 23, 2025 | Ninove(home) | 1-3 | Cup |
How many goals should we expect?
Diksmuide score 1.7 and concede 1.5 goals per match over their last 15; Voorde Appelterre score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diksmuide | 1.7 | 1.5 | 4 | 9/15 | 11/15 |
| Voorde Appelterre | 1.5 | 1.9 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Diksmuide | 30 | 20 | 3 | 7 | 57 | 27 | 63 |
A question about Diksmuide vs Voorde Appelterre?
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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