MatchPulse
1. Liga Classic - Group 2

1. Liga Classic - Group 2 — Failed To Score

Switzerland · 2026/27

Failed To Score

#TeamMPFTSFTS%Home%Away%
1Münsingen12542%29%60%
2Delémont12542%17%67%
3Muri-Gümligen12542%20%57%
4Black Stars12433%38%25%
5FC Wohlen12325%14%40%
6Concordia Basel12325%20%29%
7Bassecourt12217%29%0%
8Grasshopper II12217%25%13%
9Muttenz12217%33%0%
10Schötz12217%17%17%
11Solothurn12217%17%17%
12Zug12217%20%14%
13Courtételle12217%29%0%
14Buochs1218%0%14%
15Langenthal1218%20%0%
16Thun II1200%0%0%

Home / Failed To Score

#TeamMPFTS%
1Black Stars8338%
2Muttenz6233%
3Bassecourt7229%
4Münsingen7229%
5Courtételle7229%
6Grasshopper II4125%
7Concordia Basel5120%
8Langenthal5120%
9Zug5120%
10Muri-Gümligen5120%
11Delémont6117%
12Schötz6117%
13Solothurn6117%
14FC Wohlen7114%
15Buochs500%
16Thun II700%

Away / Failed To Score

#TeamMPFTS%
1Delémont6467%
2Münsingen5360%
3Muri-Gümligen7457%
4FC Wohlen5240%
5Concordia Basel7229%
6Black Stars4125%
7Schötz6117%
8Solothurn6117%
9Buochs7114%
10Zug7114%
11Grasshopper II8113%
12Bassecourt500%
13Langenthal700%
14Muttenz600%
15Thun II500%
16Courtételle500%

Which teams fail to score most often?

Münsingen fails to score most often in the league — 42%

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

Muri-Gümligen is #3 for failed-to-score rate — 42%

Thun II rarely fails to score — 0%

Langenthal rarely fails to score — 8%

Buochs rarely fails to score — 8%

League Blank Stats

  • consists of 16 teams
  • League failed-to-score rate: 21%
  • Home FTS rate: 21%
  • Away FTS rate: 22%

1. Liga Classic - Group 2 (Switzerland) — Failed To Score Analysis

In the 1. Liga Classic - Group 2 (Switzerland), teams fail to score in 43% of matches this season. Münsingen fails to score the most, going blank in 42% of their games (5 matches), with 29% at home and 60% away. Thun II has the most reliable attack, failing to score in only 0% 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.