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Iraqi League

Iraqi League — Failed To Score

Iraq · 2026/27

Failed To Score

#TeamMPFTSFTS%Home%Away%
1Al Kahrabaa12758%60%57%
2Naft Maysan12758%67%50%
3Zakho12650%33%67%
4Gharraf12650%60%43%
5Al Minaa Basra12542%14%80%
6Newroz12542%40%43%
7Ghaz Al Shamal12542%40%43%
8Al Zawra'a11436%33%40%
9Al Quwa Al Jawiya12433%50%17%
10Al Talaba12433%33%33%
11Naft12433%0%67%
12Al Karkh12433%17%50%
13Karbala12433%17%50%
14Mosul12433%33%33%
15Al-Jolan SC12433%33%33%
16Diyala11327%0%50%
17Al Shorta8225%40%0%
18Duhok12325%0%50%
19Al Shorta4125%0%50%
20Erbil12217%14%20%
21Al-Karma1218%0%20%

Home / Failed To Score

#TeamMPFTS%
1Naft Maysan6467%
2Al Kahrabaa5360%
3Gharraf5360%
4Al Quwa Al Jawiya6350%
5Al Shorta5240%
6Newroz5240%
7Ghaz Al Shamal5240%
8Al Zawra'a6233%
9Al Talaba6233%
10Zakho6233%
11Mosul6233%
12Al-Jolan SC6233%
13Al Karkh6117%
14Karbala6117%
15Al Minaa Basra7114%
16Erbil7114%
17Naft600%
18Duhok600%
19Diyala500%
20Al-Karma700%
21Al Shorta200%

Away / Failed To Score

#TeamMPFTS%
1Al Minaa Basra5480%
2Naft6467%
3Zakho6467%
4Al Kahrabaa7457%
5Naft Maysan6350%
6Al Karkh6350%
7Duhok6350%
8Karbala6350%
9Diyala6350%
10Al Shorta2150%
11Newroz7343%
12Gharraf7343%
13Ghaz Al Shamal7343%
14Al Zawra'a5240%
15Al Talaba6233%
16Mosul6233%
17Al-Jolan SC6233%
18Erbil5120%
19Al-Karma5120%
20Al Quwa Al Jawiya6117%
21Al Shorta300%

Which teams fail to score most often?

Al Kahrabaa fails to score most often in the league — 58%

Naft Maysan is #2 for failed-to-score rate — 58%

Zakho is #3 for failed-to-score rate — 50%

Al-Karma rarely fails to score — 8%

Erbil rarely fails to score — 17%

Al Shorta rarely fails to score — 25%

League Blank Stats

  • consists of 21 teams
  • League failed-to-score rate: 36%
  • Home FTS rate: 28%
  • Away FTS rate: 44%

Iraqi League (Iraq) — Failed To Score Analysis

In the Iraqi League (Iraq), teams fail to score in 71% of matches this season. Al Kahrabaa fails to score the most, going blank in 58% of their games (7 matches), with 60% at home and 57% away. Al-Karma has the most reliable attack, failing to score in only 8% 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.