MatchPulse
National 3 - Group A

National 3 - Group A — Failed To Score

France · 2025/26

Failed To Score

#TeamMPFTSFTS%Home%Away%
1Alberes Argelès261246%38%54%
2Pau II261142%31%54%
3Agde261038%23%54%
4Castanet261038%38%38%
5Toulouse II26935%23%46%
6Onet-le-Château26935%23%46%
7SAG Cestas26831%15%46%
8Anglet Genets26727%15%38%
9Canet Roussillon26623%23%23%
10Blagnac26623%23%23%
11Lège-Cap-Ferret26519%31%8%
12Bassin d'Arcachon Sud26519%31%8%
13Tarbes26415%15%15%
14Colomiers2628%8%8%

Home / Failed To Score

#TeamMPFTS%
1Alberes Argelès13538%
2Castanet13538%
3Lège-Cap-Ferret13431%
4Bassin d'Arcachon Sud13431%
5Pau II13431%
6Canet Roussillon13323%
7Blagnac13323%
8Agde13323%
9Toulouse II13323%
10Onet-le-Château13323%
11Anglet Genets13215%
12Tarbes13215%
13SAG Cestas13215%
14Colomiers1318%

Away / Failed To Score

#TeamMPFTS%
1Alberes Argelès13754%
2Agde13754%
3Pau II13754%
4Toulouse II13646%
5Onet-le-Château13646%
6SAG Cestas13646%
7Anglet Genets13538%
8Castanet13538%
9Canet Roussillon13323%
10Blagnac13323%
11Tarbes13215%
12Lège-Cap-Ferret1318%
13Colomiers1318%
14Bassin d'Arcachon Sud1318%

Which teams fail to score most often?

Alberes Argelès fails to score most often in the league — 46%

Pau II is #2 for failed-to-score rate — 42%

Agde is #3 for failed-to-score rate — 38%

Colomiers rarely fails to score — 8%

Tarbes rarely fails to score — 15%

Bassin d'Arcachon Sud rarely fails to score — 19%

League Blank Stats

  • consists of 14 teams
  • League failed-to-score rate: 29%
  • Home FTS rate: 24%
  • Away FTS rate: 33%

National 3 - Group A (France) — Failed To Score Analysis

In the National 3 - Group A (France), teams fail to score in 57% of matches this season. Alberes Argelès fails to score the most, going blank in 46% of their games (12 matches), with 38% at home and 54% away. Colomiers has the most reliable attack, failing to score in only 8% 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.