MatchPulse
National 2 - Group D

National 2 - Group D — Failed To Score

France · 2023/24

Failed To Score

#TeamMPFTSFTS%Home%Away%
1Racing Besançon261142%38%46%
2Auxerre II261038%38%38%
3Haguenau26935%31%38%
4Biesheim26831%23%38%
5Feignies-Aulnoye26831%15%46%
6Furiani-Agliani26831%31%31%
7Mâcon26831%23%38%
8Wasquehal26727%23%31%
9Fleury 9126727%38%15%
10Creteil26623%31%15%
11Olympique St Quentin26623%15%31%
12Colmar26519%8%31%
13Bourg-en-bresse 0126415%15%15%
14Bobigny2628%0%15%

Home / Failed To Score

#TeamMPFTS%
1Fleury 9113538%
2Auxerre II13538%
3Racing Besançon13538%
4Creteil13431%
5Haguenau13431%
6Furiani-Agliani13431%
7Biesheim13323%
8Wasquehal13323%
9Mâcon13323%
10Bourg-en-bresse 0113215%
11Olympique St Quentin13215%
12Feignies-Aulnoye13215%
13Colmar1318%
14Bobigny1300%

Away / Failed To Score

#TeamMPFTS%
1Feignies-Aulnoye13646%
2Racing Besançon13646%
3Biesheim13538%
4Haguenau13538%
5Mâcon13538%
6Auxerre II13538%
7Olympique St Quentin13431%
8Wasquehal13431%
9Furiani-Agliani13431%
10Colmar13431%
11Bourg-en-bresse 0113215%
12Creteil13215%
13Bobigny13215%
14Fleury 9113215%

Which teams fail to score most often?

Racing Besançon fails to score most often in the league — 42%

Auxerre II is #2 for failed-to-score rate — 38%

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

Bobigny rarely fails to score — 8%

Bourg-en-bresse 01 rarely fails to score — 15%

Colmar rarely fails to score — 19%

League Blank Stats

  • consists of 14 teams
  • League failed-to-score rate: 27%
  • Home FTS rate: 24%
  • Away FTS rate: 31%

National 2 - Group D (France) — Failed To Score Analysis

In the National 2 - Group D (France), teams fail to score in 54% of matches this season. Racing Besançon fails to score the most, going blank in 42% of their games (11 matches), with 38% at home and 46% away. Bobigny 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.