no context futbol
futbolun hastasıyız..
106,022
Followers
1,174
Following
2,121
Tweets
840.8
Avg Engagement
79
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nocontextfutbol's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2017-08-13
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,825
- Avg Likes per Tweet:799.1
- Avg Retweets per Tweet:41.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,825 tweetsThe account consistently receives high engagement, indicating a loyal and active audience. The use of humor and controversial topics helps drive interaction and retweets.
799.1
Avg Likes/Tweet
41.7
Avg Retweets/Tweet
1,458,307
Total Likes
76,117
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
349
Median Likes
8
Median Retweets
851
75th Percentile
43,287
Top Tweet
7.93
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
72.9%
Original
19.8%
Replies
6.1%
Retweets
1.2%
Quotes
0.0%
Threads
0.0%
With Media
82.1%
With Links
7.4%
With #Tags
25.3%
With @Mentions
13.2%
With Emojis
88
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.7%
Weekday Posts
31.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,825 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 112 retweets (6% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 1,825 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,000 followersThe audience appears to be football enthusiasts who enjoy both the sport and the blend of humor and satire in the content. They are likely interested in both sports and cultural commentary.
Average
Audience Quality
23.0%
Suspicion Index
32.9%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.7%
Empty Bio
24.3%
<10 Tweets
5.1%
Mass Following (>2K)
0.0%
New (<90 days)
50.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
16.1%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
6,399,188
Total Potential Reach
24
Median Follower Reach
109
75th Percentile Reach
3.6%
>1K followers
0.6%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52.6%
Creators
5,259 accounts
23.1%
Consumers
2,312 accounts
24.3%
Dormant
2,429 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
32
Verified Followers
0.32% of total
2,120
Protected Accounts
21.2% of total
4 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @SabriReyiziniz | 550,130 | Parody Account | Galatasaray, Futbol, Parodi |
| @paraoduyorum | 491,356 | Troll | ancestors, books, values |
| @belaettiler | 298,485 | Content Creator | CRİNGE, GÜNDEM, SİYASET |
| @AyaktaAlkis | 292,214 | - | - |
| @gutitoli | 266,042 | - | - |
| @lemarkespors | 242,352 | Parody Account | Sports, Parody, Fan |
| @babacanates | 235,422 | Politician | Family, Atatürk, Beşiktaş |
| @gorduklerimsil | 194,381 | - | - |
| @belalcaggins | 172,875 | Entrepreneur | , Belal, hayat |
| @Mfutbolll | 163,946 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,032
Followers With Bio
4,968
Followers Without Bio
50.32%
% With Bio
49.68%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,825 analyzed122,080
Combined Engagement
114,231
Total Likes
7,849
Total Retweets
24,416
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Efsaneyi hatırlayalım AHQJAJKQLSHQHGS https://t.co/U2mCwzEi9x
Bir insan kalecilik hayatı boyunca neymar, modriç, mbappe, muslera, volkan demirel, acun ılıcalı, recep tayyip erdoğan'dan nasıl gol yiyebilir amq https://t.co/GX73qczGnK
Böyle bir EFSANE en iyi bu görselle anlatılabilirdi.. https://t.co/ZmukzeI4RJ
Pozitif Anlar ☺️ https://t.co/t1dalPxgNd
''O gün sahadaki taraftarların yarısı maç bitti diye gitmişti ve kalanlar da bize maç sonu küfretmek için ordaydılar. Ama çok şey kaçırdılar.'' - Tracy McGrady https://t.co/2RNsNu4lmZ
Key Insights & Takeaways
The account often blends football with broader cultural and political references, which adds a unique layer to its content. It uses humor and satire to engage its audience, making the content more relatable and shareable. The account's tweets frequently reference well-known players and events, which helps maintain relevance and connection with its followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 106,022
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @nocontextfutbol reveals an well-established Twitter presence with 106,022 followers. The account demonstrates a content-creator strategy, averaging 840.8 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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