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Nationale 1 ACFF Predictions - Belgium

Types of bets
Nationale 1 ACFF
Belgium Nationale 1 ACFF
Nationale 1 ACFF 24/25
25 October - 14:00
Tubize
Royal Excelsior Virton
1xbet
1 2.01
Shangrila
X 3.6
888Starz
2 3.51
Prediction:
Probability: 49%
25 October - 14:00
Union Rochefortoise
RRC Stockay-Warfusee
BC Game
1 2.62
Shangrila
X 3.4
Shangrila
2 2.62
Prediction:
Probability: 40%

Nationale 1 ACFF Statistics (Football)

Match stats

Number of matches played 54
% home win 46.3%
% away win 33.33%
% halftime draws 20.37%
% halftime home wins 29.63%
% halftime away wins 25.93%
% halftime draws 44.44%

Goal stats

Goals 192
Average goals per match 3.56
Average home goals per match 1.96
Average away goals per match 1.59

Stats betting

% matches over 2.5 goals 68.52%
% matches under 2.5 goals 31.48%
BTTS 66.67%
Cleansheet 33.33%

Nationale 1 ACFF Table - Belgium

  # Team P W D L GD Pts
 
1 R AEC Mons R AEC Mons 9 8 1 0 +18 25
 
2 Tubize Tubize 9 7 2 0 +17 23
 
3 Royal Charleroi SC B Royal Charleroi SC B 9 5 1 3 +7 16
 
4 Royal Excelsior Virton Royal Excelsior Virton 9 4 3 2 +3 15
 
5 RRC Stockay-Warfusee RRC Stockay-Warfusee 9 4 3 2 +2 15
 
6 RSC Habay RSC Habay 9 3 2 4 -1 11
 
7 Union Rochefortoise Union Rochefortoise 9 3 2 4 -7 11
 
8 RFC Meux RFC Meux 9 3 1 5 -4 10
 
9 Crossing Schaerbeek Crossing Schaerbeek 9 3 1 5 -4 10
 
10 SL16 Football Campus SL16 Football Campus 9 2 3 4 -8 9
 
11 Union Saint-Gilloise B Union Saint-Gilloise B 9 1 1 7 -11 4
 
12 UR Namur UR Namur 9 0 2 7 -12 2
 
1 R AEC Mons R AEC Mons 9 5 1 0 14 16
 
2 Tubize Tubize 9 3 1 0 8 10
 
3 Royal Excelsior Virton Royal Excelsior Virton 9 3 1 1 6 10
 
4 RRC Stockay-Warfusee RRC Stockay-Warfusee 9 3 1 0 4 10
 
5 Union Rochefortoise Union Rochefortoise 9 3 1 1 0 10
 
6 Royal Charleroi SC B Royal Charleroi SC B 9 2 1 2 2 7
 
6 RSC Habay RSC Habay 9 2 1 1 2 7
 
8 RFC Meux RFC Meux 9 2 0 2 0 6
 
9 SL16 Football Campus SL16 Football Campus 9 1 1 2 -1 4
 
10 Crossing Schaerbeek Crossing Schaerbeek 9 1 1 2 -1 4
 
11 UR Namur UR Namur 9 0 1 3 -6 1
 
12 Union Saint-Gilloise B Union Saint-Gilloise B 9 0 1 4 -8 1
 
1 Tubize Tubize 9 4 1 0 9 13
 
2 Royal Charleroi SC B Royal Charleroi SC B 9 3 0 1 5 9
 
3 R AEC Mons R AEC Mons 9 3 0 0 4 9
 
4 Crossing Schaerbeek Crossing Schaerbeek 9 2 0 3 -3 6
 
5 RRC Stockay-Warfusee RRC Stockay-Warfusee 9 1 2 2 -2 5
 
6 Royal Excelsior Virton Royal Excelsior Virton 9 1 2 1 -3 5
 
7 SL16 Football Campus SL16 Football Campus 9 1 2 2 -7 5
 
8 RSC Habay RSC Habay 9 1 1 3 -3 4
 
9 RFC Meux RFC Meux 9 1 1 3 -4 4
 
10 Union Saint-Gilloise B Union Saint-Gilloise B 9 1 0 3 -3 3
 
11 UR Namur UR Namur 9 0 1 4 -6 1
 
12 Union Rochefortoise Union Rochefortoise 9 0 1 3 -7 1
 
1 Tubize Tubize 6 5 1 0 15 16
 
2 R AEC Mons R AEC Mons 6 5 1 0 10 16
 
3 Royal Charleroi SC B Royal Charleroi SC B 6 3 1 2 3 10
 
4 RRC Stockay-Warfusee RRC Stockay-Warfusee 6 3 1 2 1 10
 
5 Royal Excelsior Virton Royal Excelsior Virton 6 2 3 1 3 9
 
6 RFC Meux RFC Meux 6 3 0 3 0 9
 
7 Union Rochefortoise Union Rochefortoise 6 2 2 2 -2 8
 
8 Crossing Schaerbeek Crossing Schaerbeek 6 2 1 3 -2 7
 
9 SL16 Football Campus SL16 Football Campus 6 1 2 3 -7 5
 
10 RSC Habay RSC Habay 6 1 2 3 -7 5
 
11 Union Saint-Gilloise B Union Saint-Gilloise B 6 1 0 5 -7 3
 
12 UR Namur UR Namur 6 0 2 4 -7 2
Promotion round

Nationale 1 ACFF fixtures

25 Oct 14:00
Tubize
Royal Excelsior Virton
25 Oct 14:00
Union Rochefortoise
RRC Stockay-Warfusee
26 Oct 09:30
UR Namur
R AEC Mons
26 Oct 10:00
RSC Habay
Crossing Schaerbeek
26 Oct 10:00
SL16 Football Campus
RFC Meux
26 Oct 10:00
Royal Charleroi SC B
Union Saint-Gilloise B

How do you get good Nationale 1 ACFF predictions ?

competition predictions

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While in the early days we could only offer you manual analyses, based on our various impressions, the data we have collected over several years on the Football in Belgium now gives us the chance to predict a maximum number of matches.

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After gathering Football data for several years and building a precise prediction algorithm, we are able to offer you the most reliable Nationale 1 ACFF predictions of the moment. How can we do this? By adding a 100% expert human eye to our automatic prediction model.

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