SPORT1

SPORT1

@SPORT1

Offizieller Twitter-Account von SPORT1 Datenschutz: https://www.sport1.de/unternehmen/datenschutz Impressum: https://www.sport1.de/unternehmen/impressum

München https://www.sport1.de/ Joined 2006-12-21 Date of Analysis: Dec 16, 2025

631,875

Followers

1,870

Following

225,370

Tweets

12.2

Avg Engagement

1,829

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @SPORT1'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:2006-12-21
  • Verification:No
  • Location:München

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:10.1
  • Avg Retweets per Tweet:2.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

On average, tweets receive around 625 likes and 26 retweets, showing moderate engagement. The account actively encourages audience interaction through polls and questions, which helps maintain a consistent level of engagement.

10.1

Avg Likes/Tweet

2.1

Avg Retweets/Tweet

32,762

Total Likes

6,962

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

0

Median Retweets

8

75th Percentile

1,460

Top Tweet

0.02

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

83.9%

Original

0.3%

Replies

15.7%

Retweets

0.2%

Quotes

0.0%

Threads

0.0%

With Media

85.7%

With Links

64.2%

With #Tags

20.9%

With @Mentions

4.1%

With Emojis

87

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.0

Reply/Original Ratio

0.01

Quote/RT Ratio

Posting Rhythm

Consistent

Regular posting cadence

71.9%

Weekday Posts

28.1%

Weekend Posts

Top Hashtags

#fcbayern (238) #bvb (160) #dopa (119) #sge (88) #nagelsmann (74) #nfl (57) #eintracht (50) #darts (47) #psg (46) #dfb (40)

Most Mentioned

@sport1 (232) @kerry_hau (148) @berger_pj (139) @sport1_pr (118) @cmoffiziell (77) @sport1_dopa (52) @janawosnitza (43) @fcbayern (36) @frankereinhard (25) @felixfischifish (22)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,726 (84%)
Replies 9 (0%)
Retweets 509 (16%)
Quote Tweets 6 (0%)

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 509 retweets (16% 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 tweets

Engagement 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 50,000 followers

The primary audience consists of sports enthusiasts, particularly fans of German football clubs. The content is likely tailored to a German-speaking audience given the context of the tweets and the use of local sports terminology.

Below Average

Audience Quality

41.3%

Suspicion Index

60.4%

Low-Quality %

2

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

66.8%

Empty Bio

64.6%

<10 Tweets

6.0%

Mass Following (>2K)

0.0%

New (<90 days)

81.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

96.0%

No URL

54.0%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

45,531,219

Total Potential Reach

2

Median Follower Reach

17

75th Percentile Reach

1.6%

>1K followers

0.2%

>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).

20.1%

Creators

10,026 accounts

15.4%

Consumers

7,693 accounts

64.6%

Dormant

32,281 accounts

116

Verified Followers

0.23% of total

1.7%

Professional Bios

founder, dev, analyst, etc.

0.02

Median Follow Ratio

follower/following

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):

Deutschland (231) Germany (219) Lagos, Nigeria (157) Berlin, Deutschland (100) Nigeria (94) Accra, Ghana (86) Berlin, Germany (77) Senegal (67) München, Bayern (61) Hamburg, Germany (59)

246

Verified Followers

0.24% of total

6,600

Protected Accounts

6.53% 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
@FabrizioRomano 14,455,074 Journalist Football, Transfers, News
@JohnCena 14,105,443 Wrestler Wrestling, Motivation, Self-promotion
@NatbyNature 2,468,230 Wrestler WWE, wrestling, Nattie
@UnitedStandMUFC 1,920,975 Fan Channel Manchester United, Global Fanbase, Latest News
@Footballogue 1,767,385 Football News Football, Actualités, FIFA World Cup
@demarkesports 1,267,406 Sports Marketing Basketball, Racing, Gaming
@mshambuliaji 1,250,046 Sports Journalist Sports, Media, Entertainment
@HasanIsmaik 1,140,564 Entrepreneur writing, entrepreneurship, media
@LuisOmarTapia 894,181 Sports commentator Soccer, Champions League, Commentator
@ertemsener 841,002 Journalist Football, Journalism, Commentating

Top Keywords in Follower Bios

football (1,394) love (830) fc (741) sports (685) sport (664) united (643) life (629) fur (616) fuball (546) god (524)

Top Hashtags in Follower Bios

#mufc (137) #miasanmia (95) #ggmu (57) #ynwa (51) #glazersout (49) #bvb (47) #football (41) #noafd (41) #sport (31) #halamadrid (29)

40,195

Followers With Bio

60,803

Followers Without Bio

39.8%

% With Bio

60.2%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

4,666

Combined Engagement

4,559

Total Likes

107

Total Retweets

933

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

60%

With @Mentions

60%

With Links

Topical Analysis:

Sports News Football Audience Interaction Media Coverage Insider Perspectives

Key Insights & Takeaways

The account frequently highlights key sports figures and their statements, indicating a focus on insider perspectives and behind-the-scenes content. It uses hashtags and links to drive traffic to related content, suggesting a strategy to increase visibility and engagement. The account maintains a professional tone while incorporating direct audience interaction, which helps build a loyal following.

Strengths

  • + Established follower base of 631,875
  • + 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 @SPORT1 reveals an growing Twitter presence with 631,875 followers. The account demonstrates a content-creator strategy, averaging 12.2 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025