3. Division — Failed To Score
Denmark · 2026/27
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 | 13 | 6 | 46% | 33% | 57% | |
| 2 | 13 | 5 | 38% | 14% | 67% | |
| 3 | 13 | 4 | 31% | 14% | 50% | |
| 4 | 14 | 3 | 21% | 14% | 29% | |
| 5 | 13 | 2 | 15% | 14% | 17% | |
| 6 | 13 | 2 | 15% | 17% | 14% | |
| 7 | 13 | 2 | 15% | 17% | 14% | |
| 8 | 13 | 2 | 15% | 0% | 29% | |
| 9 | 13 | 1 | 8% | 0% | 14% | |
| 10 | 13 | 1 | 8% | 14% | 0% | |
| 11 | 13 | 1 | 8% | 14% | 0% | |
| 12 | 14 | 1 | 7% | 0% | 14% |
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 6 | 2 | 33% | |
| 2 | 6 | 1 | 17% | |
| 3 | 6 | 1 | 17% | |
| 4 | 7 | 1 | 14% | |
| 5 | 7 | 1 | 14% | |
| 6 | 7 | 1 | 14% | |
| 7 | 7 | 1 | 14% | |
| 8 | 7 | 1 | 14% | |
| 9 | 7 | 1 | 14% | |
| 10 | 7 | 0 | 0% | |
| 11 | 6 | 0 | 0% | |
| 12 | 6 | 0 | 0% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 6 | 4 | 67% | |
| 2 | 7 | 4 | 57% | |
| 3 | 6 | 3 | 50% | |
| 4 | 7 | 2 | 29% | |
| 5 | 7 | 2 | 29% | |
| 6 | 6 | 1 | 17% | |
| 7 | 7 | 1 | 14% | |
| 8 | 7 | 1 | 14% | |
| 9 | 7 | 1 | 14% | |
| 10 | 7 | 1 | 14% | |
| 11 | 6 | 0 | 0% | |
| 12 | 6 | 0 | 0% |
Which teams fail to score most often?
Ishøj fails to score most often in the league — 46%
Holstebro is #2 for failed-to-score rate — 38%
Næsby is #3 for failed-to-score rate — 31%
FC Helsingor rarely fails to score — 7%
Hørsholm-Usserød rarely fails to score — 8%
Vanløse rarely fails to score — 8%
League Blank Stats
- consists of 12 teams
- League failed-to-score rate: 19%
- Home FTS rate: 13%
- Away FTS rate: 25%
3. Division (Denmark) — Failed To Score Analysis
In the 3. Division (Denmark), teams fail to score in 38% of matches this season. Ishøj fails to score the most, going blank in 46% of their games (6 matches), with 33% at home and 57% away. FC Helsingor has the most reliable attack, failing to score in only 7% 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
- 1. Division Failed To Score— Division Gold
- 2. Division Failed To Score— Division Regional
- 2nd Division - Group 2 Failed To Score— Division Regional
- 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