MatchPulse
2. Liga Interregional - Group 5

2. Liga Interregional - Group 5Failed To Score

Switzerland · 2022/23

Failed To Score

#TeamMPFTSFTS%Home%Away%
1Amriswil281139%36%43%
2Rorschach28932%43%21%
3Rapperswil-Jona II28725%21%29%
4Uster28621%21%21%
5SV Schaffhausen28621%21%21%
6Thalwil28518%0%36%
7Bazenheid28518%14%21%
8Widnau28518%14%21%
9Wil II28518%21%14%
10Adliswil28414%7%21%
11Lachen / Altendorf28414%21%7%
12Chur 9728414%14%14%
13Frauenfeld28414%14%14%
14Dardania St. Gallen28311%7%14%
15Balzers2827%7%7%

Home / Failed To Score

#TeamMPFTS%
1Rorschach14643%
2Amriswil14536%
3Uster14321%
4Lachen / Altendorf14321%
5Wil II14321%
6SV Schaffhausen14321%
7Rapperswil-Jona II14321%
8Bazenheid14214%
9Chur 9714214%
10Widnau14214%
11Frauenfeld14214%
12Balzers1417%
13Adliswil1417%
14Dardania St. Gallen1417%
15Thalwil1400%

Away / Failed To Score

#TeamMPFTS%
1Amriswil14643%
2Thalwil14536%
3Rapperswil-Jona II14429%
4Uster14321%
5Adliswil14321%
6Bazenheid14321%
7Widnau14321%
8Rorschach14321%
9SV Schaffhausen14321%
10Chur 9714214%
11Wil II14214%
12Frauenfeld14214%
13Dardania St. Gallen14214%
14Balzers1417%
15Lachen / Altendorf1417%

Which teams fail to score most often?

Amriswil fails to score most often in the league39%

Rorschach is #2 for failed-to-score rate32%

Rapperswil-Jona II is #3 for failed-to-score rate25%

Balzers rarely fails to score7%

Dardania St. Gallen rarely fails to score11%

Frauenfeld rarely fails to score14%

League Blank Stats

  • consists of 15 teams
  • League failed-to-score rate: 19%
  • Home FTS rate: 18%
  • Away FTS rate: 20%

2. Liga Interregional - Group 5 (Switzerland) — Failed To Score Analysis

In the 2. Liga Interregional - Group 5 (Switzerland), teams fail to score in 38% of matches this season. Amriswil fails to score the most, going blank in 39% of their games (11 matches), with 36% at home and 43% away. Balzers 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.