Flénu vs Ostiches: result 0-1 and analysis
Third Amateur Division - ACFF AACFF A - 13Kick-off on November 19, 2023 at 01:30 PM (UTC)Terrain Rue des Produits, Flénu
Full time
What was the result of Flénu vs Ostiches?
Ostiches won 0-1 on November 19, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Flénu have 6 wins, 2 draws and 7 defeats; Ostiches have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2023 | Onhaye(away) | 0-0 | Third Amateur Division - ACFF A |
| Nov 5, 2023 | Braine(home) | 2-1 | Third Amateur Division - ACFF A |
| Oct 29, 2023 | Belœil(away) | 1-3 | Third Amateur Division - ACFF A |
| Oct 22, 2023 | Couvin-Mariembourg(home) | 7-0 | Third Amateur Division - ACFF A |
| Oct 15, 2023 | Entité Manageoise(away) | 1-2 | Third Amateur Division - ACFF A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2023 | Wallonne Ciney(away) | 0-0 | Third Amateur Division - ACFF A |
| Nov 5, 2023 | Couvin-Mariembourg(home) | 5-0 | Third Amateur Division - ACFF A |
| Oct 29, 2023 | Onhaye(away) | 0-3 | Third Amateur Division - ACFF A |
| Oct 22, 2023 | Braine(home) | 1-0 | Third Amateur Division - ACFF A |
| Oct 15, 2023 | Crossing Schaerbeek(away) | 1-0 | Third Amateur Division - ACFF A |
How many goals should we expect?
Flénu score 1.7 and concede 1.6 goals per match over their last 15; Ostiches score 1.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Flénu | 1.7 | 1.6 | 6 | 7/15 | 10/15 |
| Ostiches | 1.5 | 0.5 | 10 | 4/15 | 5/15 |
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 | Flénu | 26 | 16 | 4 | 6 | 65 | 32 | 52 |
A question about Flénu vs Ostiches?
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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