MatchPulse
Provincial - Brabant ACFF

Provincial - Brabant ACFF — Failed To Score

Belgium · 2024/25

Failed To Score

#TeamMPFTSFTS%Home%Away%
1NSeth Berchem301550%47%53%
2Ixelles301033%40%27%
3Léopold30930%27%33%
4Saint-Josse30930%40%20%
5La Hulpe30827%33%20%
6Genappe30827%27%27%
7Waterloo30827%33%20%
8Amicii Bruxelles30827%20%33%
9BX Brussels30723%33%13%
10Auderghem30723%7%40%
11Jette II30723%7%40%
12Union Lasne-Ohain30620%7%33%
13Saint-Michel30620%20%20%
14Suryoyés Bruxellois30413%13%13%
15Saintoise30310%7%13%
16Kosova Schaerbeek3027%7%7%

Home / Failed To Score

#TeamMPFTS%
1NSeth Berchem15747%
2Ixelles15640%
3Saint-Josse15640%
4La Hulpe15533%
5BX Brussels15533%
6Waterloo15533%
7Léopold15427%
8Genappe15427%
9Saint-Michel15320%
10Amicii Bruxelles15320%
11Suryoyés Bruxellois15213%
12Kosova Schaerbeek1517%
13Union Lasne-Ohain1517%
14Auderghem1517%
15Saintoise1517%
16Jette II1517%

Away / Failed To Score

#TeamMPFTS%
1NSeth Berchem15853%
2Auderghem15640%
3Jette II15640%
4Léopold15533%
5Union Lasne-Ohain15533%
6Amicii Bruxelles15533%
7Ixelles15427%
8Genappe15427%
9La Hulpe15320%
10Saint-Josse15320%
11Waterloo15320%
12Saint-Michel15320%
13BX Brussels15213%
14Saintoise15213%
15Suryoyés Bruxellois15213%
16Kosova Schaerbeek1517%

Which teams fail to score most often?

NSeth Berchem fails to score most often in the league — 50%

Ixelles is #2 for failed-to-score rate — 33%

Léopold is #3 for failed-to-score rate — 30%

Kosova Schaerbeek rarely fails to score — 7%

Saintoise rarely fails to score — 10%

Suryoyés Bruxellois rarely fails to score — 13%

League Blank Stats

  • consists of 16 teams
  • League failed-to-score rate: 24%
  • Home FTS rate: 23%
  • Away FTS rate: 26%

Provincial - Brabant ACFF (Belgium) — Failed To Score Analysis

In the Provincial - Brabant ACFF (Belgium), teams fail to score in 49% of matches this season. NSeth Berchem fails to score the most, going blank in 50% of their games (15 matches), with 47% at home and 53% away. Kosova Schaerbeek has the most reliable attack, failing to score in only 7% of games.

Betting Angle — Low-Scoring Markets

A high failed-to-score rate is a strong signal for BTTS No, Under 1.5, and Clean Sheet markets when facing that team. When two high-FTS teams play each other, the Under 1.5 and even the 0-0 Correct Score become statistically viable bets.

Statistics Tables — Belgium