JS Fizoise vs Stade Disonais: result 0-2 and analysis
Provincial - LiegeLiège - 11Kick-off on October 27, 2019 at 12:30 PM (UTC)Terreinen Rue Magritte, Fize-Fontaine
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What was the result of JS Fizoise vs Stade Disonais?
Stade Disonais won 0-2 on October 27, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, JS Fizoise have 6 wins, 3 draws and 1 defeat; Stade Disonais have 5, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | FC Du Geer(away) | 2-1 | Provincial - Liege |
| Oct 13, 2019 | Wanze / Bas-Oha(home) | 1-1 | Provincial - Liege |
| Oct 6, 2019 | Mélen-Micheroux(home) | 1-1 | Provincial - Liege |
| Sep 29, 2019 | Rechain(away) | 2-1 | Provincial - Liege |
| Sep 22, 2019 | UCE Liège(home) | 1-0 | Provincial - Liege |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Rechain(home) | 6-0 | Provincial - Liege |
| Oct 13, 2019 | UCE Liège(away) | 3-3 | Provincial - Liege |
| Oct 6, 2019 | Grün-Weiss Amel(home) | 6-0 | Provincial - Liege |
| Sep 29, 2019 | Sprimont II(away) | 2-2 | Provincial - Liege |
| Sep 22, 2019 | Ougrée(home) | 1-1 | Provincial - Liege |
How many goals should we expect?
JS Fizoise score 1.7 and concede 1.0 goals per match over their last 10; Stade Disonais score 2.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JS Fizoise | 1.7 | 1.0 | 3 | 7/10 | 6/10 |
| Stade Disonais | 2.6 | 1.0 | 4 | 5/10 | 5/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | JS Fizoise | 30 | 1 | 7 | 22 | 28 | 72 | 10 |
A question about JS Fizoise vs Stade Disonais?
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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