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  1. Trends
  2. Failed to Score

Failed to Score Tips

CSV API Bot

We're tracking 243 upcoming fixtures for Failed To Score, ranked across 100+ leagues. Average hit rate sits at 52%, with Ilkeston Town leading at 71%. Tables refresh every 6 hours from current-season form, so the numbers always reflect how teams are performing right now — not season-long averages.

Last refreshed

home Teams

%
Sat, 15:00 England · Non League Premier: Northern5+
5/7
71
Sun, 22:00 El Salvador · Primera Division
5/7
71
18:00 Germany · Oberliga: Bayern Nord
5/7
71
Sat, 15:00 Republic of Ireland · Women's National League
7/10
70
Mon, 00:00 United States · NWSL
9/13
69
Sun, 13:00 Germany · Regionalliga: Nord
4/6
67
Sat, 12:00 Hungary · NB 3: Northeast
4/6
67
Sun, 16:00 Sandefjord
5/11
45
Mon, 18:00 Degerfors
5/11
45
19:45 Finn Harps
7/17
41
4 hidden fixtures at 70%+ in Home Teams — 97 hidden in total.
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away Teams

%
Tue, 22:30 Colombia · Liga BetPlay
13/16
81
Sun, 13:00 Belarus · Vysshaya Liga
9/12
75
Sat, 15:00 Serbia · Prva Liga
5/7
71
1-020' Malawi · Super League
5/7
71
Sun, 19:15 Peru · Primera Division
10/14
71
Sat, 13:30 Malawi · Super League
5/7
71
Sat, 01:00 Argentina · Primera B Nacional
11/16
69
Mon, 18:00 Kalmar
8/12
67
16:00 Radnički Niš
4/6
67
Sat, 18:00 OFK Beograd
3/6
50
6 hidden fixtures at 70%+ in Away Teams — 97 hidden in total.
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overall Teams

%
Sun, 13:00 Greece · Super League 2
9/12
75
20:30 Mexico · Liga TDP
8/11
74
Sat, 11:30 Erzurumspor FK v Eyüpspor
10/14
72
Mon, 20:00 Tottenham Hotspur v Coventry City
8/12
67
Sun, 15:30 Spain · Segunda Division RFEF: Group 2
8/12
67
Sat, 15:00 Angola · Girabola
8/12
67
Sat, 19:00 Brazil · Carioca B1
8/12
67
Sun, 14:00 Italy · Serie D: Girone D
9/14
64
Sat, 19:00 Saudi Arabia · Pro League
10/16
63
Sat, 15:00 Levadiakos v Volos NFC
7/12
59
2 hidden fixtures at 70%+ in Overall Teams — 97 hidden in total.
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Last 5 games vs season (±15pts) Tracked Already in Bet Tracking Edge Hit rate minus the % implied by the odds Pro Click a row for both teams' form; click a column heading to sort

Can They Score? Well... Not Often!

This page will show you the teams that have frequently failed to score in their games, ranking them from worst to best. The first table will show you home teams with home games approaching, along with the number of times they have failed to find the back of the net in front of their own fans. The same is true for the second table, just this time for away teams. Finally, a third table combines both home and away teams and shows the games with the highest percentage as far as both teams are concerned. The final table might be a good shortlist if you're into betting on Under 2.5 Goals.

A trend ranks teams by one stat. A filter preset stacks several rules and lists only the fixtures that pass all of them — open one to see today's matches with the numbers behind every rule.

Win to Nil & Clean Sheet Predictions A side that keeps clean sheets at home, against visitors who have been failing to score. 22 matches in the next 24h Under 2.5 Goals Predictions The model expects two goals or fewer, and neither side has been in open games. 9 matches in the next 24h

What does "Failed to Score" mean?

A team is considered to have "failed to score" when they finish a 90-minute match with 0 goals. It's the inverse of Team to Score (Over 0.5 team goals).

How is this data useful for betting?

Teams that frequently fail to score are the foundation of Under 2.5, BTTS No, and "Team A to score No" markets. Pair a high "failed to score" rate with a strong opposition defence and the value compounds.

How is the data calculated?

For each team we count season fixtures where they scored zero goals, divided by total matches played. Stats refresh every 6 hours.

What threshold counts as a strong signal?

A team failing to score in 40% or more of fixtures is a strong defensive-or-toothless signal. Combine with form data and league context for the cleanest reads.

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%
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