Hammarby Fotboll 🏆
Hammarby Fotbolls officiella twitterkonto.
55,998
Followers
276
Following
47,555
Tweets
93.7
Avg Engagement
328
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @hammarbyfotboll'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: Mid-Tier (10K+)
- Account Age:2009-04-05
- Verification:No
- Location:Södermalm
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:90.2
- Avg Retweets per Tweet:3.5
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,250 tweetsThe account has moderate engagement with an average of 1,604 likes and 134 retweets per tweet. Engagement seems to be higher on significant announcements and match results.
90.2
Avg Likes/Tweet
3.5
Avg Retweets/Tweet
293,185
Total Likes
11,480
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
1
Median Retweets
104
75th Percentile
3,025
Top Tweet
1.67
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
81.5%
Original
8.6%
Replies
3.0%
Retweets
6.9%
Quotes
0.0%
Threads
0.0%
With Media
69.4%
With Links
95.4%
With #Tags
11.6%
With @Mentions
42.0%
With Emojis
122
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
2.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.9%
Weekday Posts
42.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 96 retweets (3% 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 3,250 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 9,998 followersThe audience primarily consists of football fans and supporters of Hammarby IF. They are likely interested in match updates, player news, and club achievements.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
100.0%
<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.
3,363,096
Total Potential Reach
7
Median Follower Reach
63
75th Percentile Reach
3.3%
>1K followers
0.3%
>10K followers
0.1%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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):
0
Verified Followers
0.0% of total
771
Protected Accounts
7.71% of total
3 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 |
|---|---|---|---|
| @iownjd | 761,563 | Lawyer | learn, inspire, engage |
| @SanderSchimmelp | 194,676 | Journalist | Journalism, Entrepreneurship, Podcasting |
| @SofascoreINT | 160,822 | - | - |
| @studie_bijbel | 156,839 | Traveler | Travel, Culture, People |
| @fctwente | 140,787 | Football Club | Football, Enschede, Grolsch Veste |
| @IgorBrakus | 95,915 | Radio Host | radio, tv, voditelj |
| @andybrassell | 82,436 | Football Writer | European football, NBA, writing |
| @twentefans | 38,617 | - | - |
| @Chakariboy | 35,444 | - | - |
| @JordanOlder_ | 31,713 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,485
Followers With Bio
5,515
Followers Without Bio
44.85%
% With Bio
55.15%
% 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 3,250 analyzed10,168
Combined Engagement
9,495
Total Likes
673
Total Retweets
2,034
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Det står nu klart att 16-årige Isak Vural, med ett förflutet i Hammarby, ansluter för ett lån under 2023 från sin turkiska klubb Fenerbahce SK. Välkommen tillbaka till Hammarby Isak! 💚 #Bajen https://t.co/hmSVpXVmVL
28 års väntan är över – Hammarby IF vinner Svenska Cupen! #HIFBKH | 3-0 | #Bajen https://t.co/tiKbLuK7cf
✍️ Oliver Dovin förlänger med #Bajen 💚🤍 https://t.co/LvB8hgYN5e
Länsderbyseger i kvartsfinalen! #HIFAIK | #Bajen https://t.co/k5JDz4zATR
Grattis till en fantastisk spelarkarriär – njut av pensionen! Du är alltid välkommen till Årsta. #Bajen https://t.co/mB91CwBhuL
Key Insights & Takeaways
The account frequently shares news about player transfers and loan deals, indicating a focus on team development. Major victories, such as winning the Svenska Cupen, generate high engagement and are highlighted with hashtags. The use of emojis and hashtags helps to make content more relatable and shareable among fans.
Strengths
- + Established follower base of 55,998
- + 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 @hammarbyfotboll reveals an growing Twitter presence with 55,998 followers. The account demonstrates a content-creator strategy, averaging 93.7 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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