1. Division — Failed To Score
Denmark · 2026/27
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 | 12 | 6 | 50% | 33% | 67% | |
| 2 | 12 | 4 | 33% | 17% | 50% | |
| 3 | 12 | 4 | 33% | 33% | 33% | |
| 4 | 12 | 4 | 33% | 17% | 50% | |
| 5 | 12 | 3 | 25% | 17% | 33% | |
| 6 | 12 | 3 | 25% | 60% | 0% | |
| 7 | 12 | 3 | 25% | 17% | 33% | |
| 8 | 12 | 3 | 25% | 33% | 17% | |
| 9 | 13 | 3 | 23% | 43% | 0% | |
| 10 | 12 | 2 | 17% | 17% | 17% | |
| 11 | 13 | 2 | 15% | 14% | 17% | |
| 12 | 12 | 0 | 0% | 0% | 0% |
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 5 | 3 | 60% | |
| 2 | 7 | 3 | 43% | |
| 3 | 6 | 2 | 33% | |
| 4 | 6 | 2 | 33% | |
| 5 | 6 | 2 | 33% | |
| 6 | 6 | 1 | 17% | |
| 7 | 6 | 1 | 17% | |
| 8 | 6 | 1 | 17% | |
| 9 | 6 | 1 | 17% | |
| 10 | 6 | 1 | 17% | |
| 11 | 7 | 1 | 14% | |
| 12 | 6 | 0 | 0% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 6 | 4 | 67% | |
| 2 | 6 | 3 | 50% | |
| 3 | 6 | 3 | 50% | |
| 4 | 6 | 2 | 33% | |
| 5 | 6 | 2 | 33% | |
| 6 | 6 | 2 | 33% | |
| 7 | 6 | 1 | 17% | |
| 8 | 6 | 1 | 17% | |
| 9 | 6 | 1 | 17% | |
| 10 | 7 | 0 | 0% | |
| 11 | 6 | 0 | 0% | |
| 12 | 6 | 0 | 0% |
Which teams fail to score most often?
Aarhus Fremad fails to score most often in the league — 50%
Esbjerg is #2 for failed-to-score rate — 33%
HB Koge is #3 for failed-to-score rate — 33%
Hvidovre rarely fails to score — 0%
Hobro rarely fails to score — 15%
FC Fredericia rarely fails to score — 17%
League Blank Stats
- consists of 12 teams
- League failed-to-score rate: 25%
- Home FTS rate: 25%
- Away FTS rate: 26%
1. Division (Denmark) — Failed To Score Analysis
In the 1. Division (Denmark), teams fail to score in 51% of matches this season. Aarhus Fremad fails to score the most, going blank in 50% of their games (6 matches), with 33% at home and 67% away. Hvidovre 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 — Denmark
- 2. Division Failed To Score— Division Regional
- 2nd Division - Group 2 Failed To Score— Division Regional
- 3. Division Failed To Score— Division Amateur
- B-Liga Women Failed To Score
- DBU Pokalen Failed To Score— Division Gold
- Denmark Series - Group 1 Failed To Score— Division Amateur
- Denmark Series - Group 2 Failed To Score— Division Amateur
- Denmark Series - Group 3 Failed To Score— Division Amateur
- Denmark Series - Group 4 Failed To Score— Division Amateur
- Denmark Series - Promotion Round Failed To Score— Division Amateur
- Denmark Series - Relegation Round Failed To Score— Division Amateur
- Kvindeliga Failed To Score— Division Women's Pro
- Superliga Failed To Score— Division Premium