MatchPulse
2. Liga Interregional - Group 3

2. Liga Interregional - Group 3 — Failed To Score

Switzerland · 2024/25

Failed To Score

#TeamMPFTSFTS%Home%Away%
1Goldau291552%40%64%
2Rothrist301137%33%40%
3Gambarogno - Contone301033%20%47%
4Muri30930%40%20%
5Thalwil30930%13%47%
6Ibach30827%20%33%
7Brunnen29724%21%27%
8Cham II30620%20%20%
9Emmen30620%20%20%
10Lachen / Altendorf30517%20%13%
11Buochs30413%7%20%
12Locarno30413%27%0%
13Sursee30310%7%13%
14Emmenbrücke30310%20%0%
15AC Malcantone30310%0%20%
16Zug3027%0%13%

Home / Failed To Score

#TeamMPFTS%
1Muri15640%
2Goldau15640%
3Rothrist15533%
4Locarno15427%
5Brunnen14321%
6Gambarogno - Contone15320%
7Emmenbrücke15320%
8Ibach15320%
9Lachen / Altendorf15320%
10Cham II15320%
11Emmen15320%
12Thalwil15213%
13Sursee1517%
14Buochs1517%
15Zug1500%
16AC Malcantone1500%

Away / Failed To Score

#TeamMPFTS%
1Goldau14964%
2Gambarogno - Contone15747%
3Thalwil15747%
4Rothrist15640%
5Ibach15533%
6Brunnen15427%
7Muri15320%
8Buochs15320%
9Cham II15320%
10Emmen15320%
11AC Malcantone15320%
12Sursee15213%
13Zug15213%
14Lachen / Altendorf15213%
15Emmenbrücke1500%
16Locarno1500%

Which teams fail to score most often?

Goldau fails to score most often in the league — 52%

Rothrist is #2 for failed-to-score rate — 37%

Gambarogno - Contone is #3 for failed-to-score rate — 33%

Zug rarely fails to score — 7%

AC Malcantone rarely fails to score — 10%

Emmenbrücke rarely fails to score — 10%

League Blank Stats

  • consists of 16 teams
  • League failed-to-score rate: 22%
  • Home FTS rate: 19%
  • Away FTS rate: 25%

2. Liga Interregional - Group 3 (Switzerland) — Failed To Score Analysis

In the 2. Liga Interregional - Group 3 (Switzerland), teams fail to score in 44% of matches this season. Goldau fails to score the most, going blank in 52% of their games (15 matches), with 40% at home and 64% away. Zug 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.