Temse vs Westhoek: result 0-1 and analysis
Second Amateur Division - VFV AVFV A - 13Kick-off on November 23, 2019 at 07:00 PM (UTC)Fernand Schuermanstadion, Temse
Full time
What was the result of Temse vs Westhoek?
Westhoek won 0-1 on November 23, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Temse have 6 wins, 2 draws and 7 defeats; Westhoek have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | VW Hamme(away) | 2-0 | Second Amateur Division - VFV A |
| Nov 9, 2019 | Harelbeke(home) | 0-2 | Second Amateur Division - VFV A |
| Nov 3, 2019 | Sparta Petegem(away) | 0-3 | Second Amateur Division - VFV A |
| Oct 26, 2019 | Ronse(home) | 0-1 | Second Amateur Division - VFV A |
| Oct 19, 2019 | KRC Gent(away) | 1-1 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Dikkelvenne(home) | 1-3 | Second Amateur Division - VFV A |
| Nov 10, 2019 | Toekomst Menen(away) | 2-2 | Second Amateur Division - VFV A |
| Nov 3, 2019 | Merelbeke(home) | 1-2 | Second Amateur Division - VFV A |
| Oct 26, 2019 | Voorwaarts Zwevezele(away) | 0-3 | Second Amateur Division - VFV A |
| Oct 20, 2019 | Sint-Niklaas(home) | 1-0 | Second Amateur Division - VFV A |
How many goals should we expect?
Temse score 1.1 and concede 1.8 goals per match over their last 15; Westhoek score 1.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Temse | 1.1 | 1.8 | 2 | 8/15 | 8/15 |
| Westhoek | 1.3 | 2.1 | 3 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Westhoek | 30 | 9 | 5 | 16 | 45 | 47 | 32 |
A question about Temse vs Westhoek?
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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