Tilleur vs Union Namur: result 1-2 and analysis
Second Amateur Division - ACFFACFF - 6Kick-off on September 29, 2019 at 01:00 PM (UTC)Stade de Buraufosse, Saint-Nicolas
Full time
What was the result of Tilleur vs Union Namur?
Union Namur won 1-2 on September 29, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Tilleur have 5 wins, 1 draw and 3 defeats; Union Namur have 5, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Acren-Lessines(away) | 1-2 | Second Amateur Division - ACFF |
| Sep 15, 2019 | Verlaine(home) | 3-3 | Second Amateur Division - ACFF |
| Sep 7, 2019 | Couvin-Mariembourg(away) | 2-1 | Second Amateur Division - ACFF |
| Sep 1, 2019 | RAAL La Louvière(home) | 2-1 | Second Amateur Division - ACFF |
| Aug 28, 2019 | Waremme(away) | 1-2 | Second Amateur Division - ACFF |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Onhaye(home) | 2-0 | Second Amateur Division - ACFF |
| Sep 15, 2019 | Hamoir(away) | 3-0 | Second Amateur Division - ACFF |
| Sep 7, 2019 | Rebecq(home) | 0-4 | Second Amateur Division - ACFF |
| Sep 1, 2019 | Verlaine(away) | 1-3 | Second Amateur Division - ACFF |
| Aug 24, 2019 | Acren-Lessines(home) | 3-2 | Second Amateur Division - ACFF |
How many goals should we expect?
Tilleur score 2.9 and concede 1.8 goals per match over their last 9; Union Namur score 1.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tilleur | 2.9 | 1.8 | 0 | 9/9 | 9/9 |
| Union Namur | 1.8 | 1.6 | 2 | 5/8 | 7/8 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Union Namur | 9 | 1 | 2 | 6 | 5 | 19 | 5 |
A question about Tilleur vs Union Namur?
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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