MatchPulse
National 3 - Group M

National 3 - Group M — Failed To Score

France · 2022/23

Failed To Score

#TeamMPFTSFTS%Home%Away%
1Montluçon261558%69%46%
2Aix les Bains261142%31%54%
3Domerat26935%46%23%
4Feurs26831%23%38%
5Hauts Lyonnais26831%23%38%
6Lyon Duchère II26831%38%23%
7Limonest26727%23%31%
8Saint-Étienne II26727%31%23%
9Chambéry26727%15%38%
10Vaulx26623%8%38%
11Ain Sud26623%23%23%
12Rumilly Vallières26623%23%23%
13Clermont II26415%8%23%
14Bourgoin-Jallieu26312%8%15%

Home / Failed To Score

#TeamMPFTS%
1Montluçon13969%
2Domerat13646%
3Lyon Duchère II13538%
4Saint-Étienne II13431%
5Aix les Bains13431%
6Limonest13323%
7Feurs13323%
8Hauts Lyonnais13323%
9Ain Sud13323%
10Rumilly Vallières13323%
11Chambéry13215%
12Vaulx1318%
13Bourgoin-Jallieu1318%
14Clermont II1318%

Away / Failed To Score

#TeamMPFTS%
1Aix les Bains13754%
2Montluçon13646%
3Feurs13538%
4Hauts Lyonnais13538%
5Vaulx13538%
6Chambéry13538%
7Limonest13431%
8Saint-Étienne II13323%
9Ain Sud13323%
10Clermont II13323%
11Lyon Duchère II13323%
12Rumilly Vallières13323%
13Domerat13323%
14Bourgoin-Jallieu13215%

Which teams fail to score most often?

Montluçon fails to score most often in the league — 58%

Aix les Bains is #2 for failed-to-score rate — 42%

Domerat is #3 for failed-to-score rate — 35%

Bourgoin-Jallieu rarely fails to score — 12%

Clermont II rarely fails to score — 15%

Rumilly Vallières rarely fails to score — 23%

League Blank Stats

  • consists of 14 teams
  • League failed-to-score rate: 29%
  • Home FTS rate: 26%
  • Away FTS rate: 31%

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

In the National 3 - Group M (France), teams fail to score in 58% of matches this season. Montluçon fails to score the most, going blank in 58% of their games (15 matches), with 69% at home and 46% away. Bourgoin-Jallieu has the most reliable attack, failing to score in only 12% 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.