Grez-Doiceau vs Ixelles: result 5-1 and analysis
Provincial - Brabant ACFFBrabant - ACFF - 10Kick-off on October 24, 2021 at 12:30 PM (UTC)Le Stampia Terrain 3, Grez-Doiceau
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What was the result of Grez-Doiceau vs Ixelles?
Grez-Doiceau won 5-1 on October 24, 2021.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Grez-Doiceau have 7 wins, 4 draws and 2 defeats; Ixelles have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | NSeth Berchem(away) | 0-2 | Provincial - Brabant ACFF |
| Oct 10, 2021 | Kosova Schaerbeek(home) | 2-0 | Provincial - Brabant ACFF |
| Oct 3, 2021 | Sportive Brainoise(away) | 3-3 | Provincial - Brabant ACFF |
| Sep 26, 2021 | Nivellois(home) | 9-0 | Provincial - Brabant ACFF |
| Sep 19, 2021 | Tubize II(away) | 3-3 | Provincial - Brabant ACFF |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Léopold(home) | 1-1 | Provincial - Brabant ACFF |
| Oct 10, 2021 | Stade Everois(away) | 0-2 | Provincial - Brabant ACFF |
| Oct 2, 2021 | BX Brussels(home) | 6-2 | Provincial - Brabant ACFF |
| Sep 26, 2021 | Sporting Bruxelles(away) | 0-4 | Provincial - Brabant ACFF |
| Sep 18, 2021 | Football Club Schaerbeek(home) | 1-2 | Provincial - Brabant ACFF |
How many goals should we expect?
Grez-Doiceau score 2.8 and concede 1.2 goals per match over their last 13; Ixelles score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grez-Doiceau | 2.8 | 1.2 | 4 | 8/13 | 8/13 |
| Ixelles | 1.1 | 1.9 | 1 | 9/15 | 8/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Ixelles | 30 | 6 | 5 | 19 | 34 | 61 | 23 |
A question about Grez-Doiceau vs Ixelles?
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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