Kvindeliga — Failed To Score
Denmark · 2026/27
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 |  AGF W | 13 | 8 | 62% | 71% | 50% |
| 2 |  Odense Q W | 13 | 7 | 54% | 67% | 43% |
| 3 |  KoldingQ W | 13 | 4 | 31% | 17% | 43% |
| 4 |  Midtjylland W | 13 | 4 | 31% | 17% | 43% |
| 5 |  Fortuna Hjørring W | 13 | 3 | 23% | 29% | 17% |
| 6 |  ASA Aarhus W | 13 | 3 | 23% | 0% | 43% |
| 7 |  Nordsjælland W | 13 | 2 | 15% | 17% | 14% |
| 8 |  FC Copenhagen W | 13 | 2 | 15% | 14% | 17% |
| 9 |  Brøndby W | 13 | 0 | 0% | 0% | 0% |
| 10 |  Køge W | 13 | 0 | 0% | 0% | 0% |
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | AGF W | 7 | 5 | 71% |
| 2 | Odense Q W | 6 | 4 | 67% |
| 3 | Fortuna Hjørring W | 7 | 2 | 29% |
| 4 | KoldingQ W | 6 | 1 | 17% |
| 5 | Nordsjælland W | 6 | 1 | 17% |
| 6 | Midtjylland W | 6 | 1 | 17% |
| 7 | FC Copenhagen W | 7 | 1 | 14% |
| 8 | Brøndby W | 7 | 0 | 0% |
| 9 | Køge W | 7 | 0 | 0% |
| 10 | ASA Aarhus W | 6 | 0 | 0% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | AGF W | 6 | 3 | 50% |
| 2 | KoldingQ W | 7 | 3 | 43% |
| 3 | Odense Q W | 7 | 3 | 43% |
| 4 | Midtjylland W | 7 | 3 | 43% |
| 5 | ASA Aarhus W | 7 | 3 | 43% |
| 6 | Fortuna Hjørring W | 6 | 1 | 17% |
| 7 | FC Copenhagen W | 6 | 1 | 17% |
| 8 | Nordsjælland W | 7 | 1 | 14% |
| 9 | Brøndby W | 6 | 0 | 0% |
| 10 | Køge W | 6 | 0 | 0% |
Which teams fail to score most often?
AGF W fails to score most often in the league — 62%
Odense Q W is #2 for failed-to-score rate — 54%
KoldingQ W is #3 for failed-to-score rate — 31%
Køge W rarely fails to score — 0%
Brøndby W rarely fails to score — 0%
FC Copenhagen W rarely fails to score — 15%
League Blank Stats
- consists of 10 teams
- League failed-to-score rate: 25%
- Home FTS rate: 23%
- Away FTS rate: 28%
Kvindeliga (Denmark) — Failed To Score Analysis
In the Kvindeliga (Denmark), teams fail to score in 51% of matches this season. AGF W fails to score the most, going blank in 62% of their games (8 matches), with 71% at home and 50% away. Køge W 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
- 1. Division Failed To Score— Division Gold
- 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
- Superliga Failed To Score— Division Premium