Shield Cup — Failed To Score
Kenya · 2026/27
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 100% | 100% | 0% | |
| 2 | 1 | 1 | 100% | 100% | 0% | |
| 3 | 1 | 1 | 100% | 0% | 100% | |
| 4 | 1 | 1 | 100% | 100% | 0% | |
| 5 | 1 | 1 | 100% | 0% | 100% | |
| 6 | 1 | 1 | 100% | 0% | 100% | |
| 7 | 1 | 1 | 100% | 100% | 0% | |
| 8 | 4 | 2 | 50% | 50% | 50% | |
| 9 | 2 | 1 | 50% | 100% | 0% | |
| 10 | 2 | 1 | 50% | 100% | 0% | |
| 11 | 3 | 1 | 33% | 50% | 0% | |
| 12 | 3 | 1 | 33% | 50% | 0% | |
| 13 | 4 | 1 | 25% | 0% | 33% | |
| 14 | 2 | 0 | 0% | 0% | 0% | |
| 15 | 1 | 0 | 0% | 0% | 0% | |
| 16 | 2 | 0 | 0% | 0% | 0% |
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 | 1 | 1 | 100% | |
| 7 | 2 | 1 | 50% | |
| 8 | 2 | 1 | 50% | |
| 9 | 2 | 1 | 50% | |
| 10 | 1 | 0 | 0% | |
| 11 | 1 | 0 | 0% | |
| 12 | 1 | 0 | 0% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 1 | 1 | 100% | |
| 2 | 1 | 1 | 100% | |
| 3 | 1 | 1 | 100% | |
| 4 | 2 | 1 | 50% | |
| 5 | 3 | 1 | 33% | |
| 6 | 1 | 0 | 0% | |
| 7 | 1 | 0 | 0% | |
| 8 | 1 | 0 | 0% | |
| 9 | 1 | 0 | 0% | |
| 10 | 1 | 0 | 0% | |
| 11 | 1 | 0 | 0% | |
| 12 | 1 | 0 | 0% |
Which teams fail to score most often?
KCB fails to score most often in the league — 50%
Tusker is #2 for failed-to-score rate — 33%
Police is #3 for failed-to-score rate — 33%
Bandari rarely fails to score — 25%
Police rarely fails to score — 33%
Tusker rarely fails to score — 33%
League Blank Stats
- consists of 4 teams
- League failed-to-score rate: 36%
- Home FTS rate: 43%
- Away FTS rate: 29%
Shield Cup (Kenya) — Failed To Score Analysis
In the Shield Cup (Kenya), teams fail to score in 71% of matches this season. KCB fails to score the most, going blank in 50% of their games (2 matches), with 50% at home and 50% away. Bandari has the most reliable attack, failing to score in only 25% 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 — Kenya
- FKF Premier League Failed To Score— Division Pro
- Super Cup Failed To Score— Division Underground
- Super League Failed To Score— Division Pro