NISA — Failed To Score
USA · 2024/25
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 |  Arizona Monsoon | 14 | 9 | 64% | 67% | 63% |
| 2 |  Savannah Clovers | 20 | 8 | 40% | 30% | 50% |
| 3 |  Georgia Lions | 20 | 7 | 35% | 33% | 38% |
| 4 |  Capo | 16 | 5 | 31% | 44% | 14% |
| 5 |  Club De Lyon | 18 | 3 | 17% | 29% | 9% |
| 6 |  Irvine Zeta | 19 | 3 | 16% | 22% | 10% |
| 7 |  Michigan Stars | 21 | 3 | 14% | 0% | 27% |
| 8 |  LA Force | 18 | 2 | 11% | 10% | 13% |
| 9 |  Maryland Bobcats | 18 | 1 | 6% | 0% | 11% |
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | Arizona Monsoon | 6 | 4 | 67% |
| 2 | Capo | 9 | 4 | 44% |
| 3 | Georgia Lions | 12 | 4 | 33% |
| 4 | Savannah Clovers | 10 | 3 | 30% |
| 5 | Club De Lyon | 7 | 2 | 29% |
| 6 | Irvine Zeta | 9 | 2 | 22% |
| 7 | LA Force | 10 | 1 | 10% |
| 8 | Michigan Stars | 10 | 0 | 0% |
| 9 | Maryland Bobcats | 9 | 0 | 0% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | Arizona Monsoon | 8 | 5 | 63% |
| 2 | Savannah Clovers | 10 | 5 | 50% |
| 3 | Georgia Lions | 8 | 3 | 38% |
| 4 | Michigan Stars | 11 | 3 | 27% |
| 5 | Capo | 7 | 1 | 14% |
| 6 | LA Force | 8 | 1 | 13% |
| 7 | Maryland Bobcats | 9 | 1 | 11% |
| 8 | Irvine Zeta | 10 | 1 | 10% |
| 9 | Club De Lyon | 11 | 1 | 9% |
Which teams fail to score most often?
Arizona Monsoon fails to score most often in the league — 64%
Savannah Clovers is #2 for failed-to-score rate — 40%
Georgia Lions is #3 for failed-to-score rate — 35%
Maryland Bobcats rarely fails to score — 6%
LA Force rarely fails to score — 11%
Michigan Stars rarely fails to score — 14%
League Blank Stats
- consists of 9 teams
- League failed-to-score rate: 25%
- Home FTS rate: 24%
- Away FTS rate: 26%
NISA (USA) — Failed To Score Analysis
In the NISA (USA), teams fail to score in 50% of matches this season. Arizona Monsoon fails to score the most, going blank in 64% of their games (9 matches), with 67% at home and 63% away. Maryland Bobcats has the most reliable attack, failing to score in only 6% 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 — USA
- MLS All-Star Failed To Score— Division Underground
- MLS Next Pro Failed To Score— Division Gold
- Major League Soccer Failed To Score— Division Premium
- NPSL Failed To Score— Division Amateur
- NWSL - Liga MXF Summer Cup Failed To Score— Division Women's Pro
- NWSL Women Failed To Score— Division Women's Elite
- NWSL Women - Challenge Cup Failed To Score— Division Women's Pro
- US Open Cup Failed To Score— Division Gold
- USL Championship Failed To Score— Division Pro
- USL League One Failed To Score— Division Pro
- USL League One Cup Failed To Score— Division SemiPro
- USL League Two Failed To Score— Division SemiPro
- USL Super League Failed To Score— Division Women's Pro
- USL W League Failed To Score— Division Women's Pro
- WPSL Failed To Score— Division Women's Pro