MatchPulse
1 Lyga

1 Lyga — Failed To Score

Lithuania · 2026

Failed To Score

#TeamMPFTSFTS%Home%Away%
1Kauno Žalgiris II291345%47%43%
2Garliava291241%40%43%
3Jonava291138%29%47%
4Neptūną Klaipėda291138%29%47%
5Hegelmann II291034%40%29%
6Transinvest 2291034%27%43%
7BFA29931%21%40%
8FA Šiauliai II29828%27%29%
9Dainava29724%27%21%
10Ekranas29724%20%29%
11Atmosfera28621%21%21%
12Žalgiris II29517%14%20%
13Tauras28414%15%13%
14Be1 NFA28414%7%21%
15Minija28311%0%21%
16Babrungas2913%7%0%

Home / Failed To Score

#TeamMPFTS%
1Kauno Žalgiris II15747%
2Garliava15640%
3Hegelmann II15640%
4Jonava14429%
5Neptūną Klaipėda14429%
6Dainava15427%
7FA Šiauliai II15427%
8Transinvest 215427%
9Atmosfera14321%
10BFA14321%
11Ekranas15320%
12Tauras13215%
13Žalgiris II14214%
14Babrungas1417%
15Be1 NFA1417%
16Minija1400%

Away / Failed To Score

#TeamMPFTS%
1Jonava15747%
2Neptūną Klaipėda15747%
3Kauno Žalgiris II14643%
4Garliava14643%
5Transinvest 214643%
6BFA15640%
7Ekranas14429%
8FA Šiauliai II14429%
9Hegelmann II14429%
10Atmosfera14321%
11Dainava14321%
12Minija14321%
13Be1 NFA14321%
14Žalgiris II15320%
15Tauras15213%
16Babrungas1500%

Which teams fail to score most often?

Kauno Žalgiris II fails to score most often in the league — 45%

Garliava is #2 for failed-to-score rate — 41%

Jonava is #3 for failed-to-score rate — 38%

Babrungas rarely fails to score — 3%

Minija rarely fails to score — 11%

Be1 NFA rarely fails to score — 14%

League Blank Stats

  • consists of 16 teams
  • League failed-to-score rate: 26%
  • Home FTS rate: 23%
  • Away FTS rate: 29%

1 Lyga (Lithuania) — Failed To Score Analysis

In the 1 Lyga (Lithuania), teams fail to score in 53% of matches this season. Kauno Žalgiris II fails to score the most, going blank in 45% of their games (13 matches), with 47% at home and 43% away. Babrungas has the most reliable attack, failing to score in only 3% 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.

Statistics Tables — Lithuania