US Open Cup — Failed To Score
USA · 2026
Failed To Score
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 1 | 1 | 100% | |
| 2 | 1 | 1 | 100% | |
| 3 | 1 | 1 | 100% | |
| 4 | 1 | 1 | 100% | |
| 5 | 1 | 1 | 100% | |
| 6 | 2 | 1 | 50% | |
| 7 | 2 | 1 | 50% | |
| 8 | 2 | 1 | 50% | |
| 9 | 2 | 1 | 50% | |
| 10 | 2 | 1 | 50% | |
| 11 | 2 | 1 | 50% | |
| 12 | 2 | 1 | 50% | |
| 13 | 3 | 1 | 33% | |
| 14 | 3 | 1 | 33% | |
| 15 | 2 | 0 | 0% | |
| 16 | 1 | 0 | 0% | |
| 17 | 2 | 0 | 0% | |
| 18 | 2 | 0 | 0% | |
| 19 | 1 | 0 | 0% | |
| 20 | 2 | 0 | 0% | |
| 21 | 3 | 0 | 0% | |
| 22 | 2 | 0 | 0% | |
| 23 | 1 | 0 | 0% | |
| 24 | 1 | 0 | 0% | |
| 25 | 2 | 0 | 0% | |
| 26 | 3 | 0 | 0% | |
| 27 | 2 | 0 | 0% | |
| 28 | 2 | 0 | 0% | |
| 29 | 2 | 0 | 0% | |
| 30 | 1 | 0 | 0% | |
| 31 | 2 | 0 | 0% | |
| 32 | 1 | 0 | 0% | |
| 33 | 1 | 0 | 0% | |
| 34 | 1 | 0 | 0% | |
| 35 | 2 | 0 | 0% | |
| 36 | 3 | 0 | 0% | |
| 37 | 2 | 0 | 0% | |
| 38 | 2 | 0 | 0% | |
| 39 | 2 | 0 | 0% | |
| 40 | 1 | 0 | 0% | |
| 41 | 2 | 0 | 0% | |
| 42 | 1 | 0 | 0% | |
| 43 | 1 | 0 | 0% |
Away / Failed To Score
Which teams fail to score most often?
San Jose Earthquakes fails to score most often in the league — 33%
Charlotte Independence is #2 for failed-to-score rate — 33%
Phoenix Rising is #3 for failed-to-score rate — 33%
Rhode Island rarely fails to score — 0%
St. Louis City rarely fails to score — 0%
Detroit City rarely fails to score — 0%
League Blank Stats
- consists of 14 teams
- League failed-to-score rate: 11%
- Home FTS rate: 4%
- Away FTS rate: 24%
US Open Cup (USA) — Failed To Score Analysis
In the US Open Cup (USA), teams fail to score in 26% of matches this season. San Jose Earthquakes fails to score the most, going blank in 33% of their games (1 matches), with 0% at home and 100% away. Rhode Island 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.
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
- NISA Failed To Score— Division Underground
- 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
- 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