Wambeek-Ternat vs Wielsbeke: result 1-3 and analysis
Third Amateur Division - VFV AVV A - 5Kick-off on October 1, 2023 at 01:00 PM (UTC)Campus Sportcentrum Ternat, Ternat
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What was the result of Wambeek-Ternat vs Wielsbeke?
Wielsbeke won 1-3 on October 1, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Wambeek-Ternat have 10 wins, 2 draws and 3 defeats; Wielsbeke have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2023 | Elene-Grotenberge(home) | 0-3 | Third Amateur Division - VFV A |
| Sep 17, 2023 | Erpe-Mere United(away) | 0-2 | Third Amateur Division - VFV A |
| Sep 10, 2023 | Pepingen-Halle(home) | 3-1 | Third Amateur Division - VFV A |
| Sep 3, 2023 | Blankenberge(away) | 2-2 | Third Amateur Division - VFV A |
| Aug 13, 2023 | Braine(away) | 1-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2023 | Erpe-Mere United(home) | 2-0 | Third Amateur Division - VFV A |
| Sep 17, 2023 | Pepingen-Halle(away) | 2-1 | Third Amateur Division - VFV A |
| Sep 10, 2023 | VW Hamme(home) | 3-0 | Third Amateur Division - VFV A |
| Sep 3, 2023 | Jong Lede(away) | 2-1 | Third Amateur Division - VFV A |
| Aug 13, 2023 | Dikkelvenne(home) | 1-5 | Cup |
How many goals should we expect?
Wambeek-Ternat score 1.9 and concede 1.1 goals per match over their last 15; Wielsbeke score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Wambeek-Ternat | 1.9 | 1.1 | 6 | 6/15 | 9/15 |
| Wielsbeke | 2.1 | 1.5 | 4 | 11/15 | 13/15 |
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 | Wielsbeke | 30 | 7 | 7 | 16 | 46 | 70 | 28 |
A question about Wambeek-Ternat vs Wielsbeke?
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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