Middle Tennessee Football
The Official Twitter of Blue Raider Football - 12 Conference Championships - 5th Highest GSR in Nation - Member of @ConferenceUSA - #BLUEnited | #WeAreCUSA
58,934
Followers
249
Following
18,745
Tweets
52.6
Avg Engagement
314
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MT_FB'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:2012-06-27
- Verification:No
- Location:Murfreesboro, TN
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:38.3
- Avg Retweets per Tweet:14.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,245 tweetsThe account maintains a consistent level of engagement with an average of 1,623 likes and 285 retweets per tweet. Its content often includes links to videos and live events, encouraging interaction.
38.3
Avg Likes/Tweet
14.3
Avg Retweets/Tweet
124,321
Total Likes
46,348
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
20
Median Likes
5
Median Retweets
54
75th Percentile
3,515
Top Tweet
0.89
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
2.7%
Replies
21.2%
Retweets
3.2%
Quotes
0.0%
Threads
0.7%
With Media
95.5%
With Links
76.0%
With #Tags
63.5%
With @Mentions
47.6%
With Emojis
140
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.5%
Weekday Posts
42.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 687 retweets (21% 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 3,245 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 primary audience consists of fans, students, and alumni of MTSU who are passionate about football. It also attracts followers interested in college sports and Conference USA events.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
115
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)
58.6%
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.
3,155,556
Total Potential Reach
115
Median Follower Reach
250
75th Percentile Reach
3.1%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>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
10,000 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
346
Protected Accounts
3.46% 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 |
|---|---|---|---|
| @LeBatardShow | 459,531 | Sports Talk | Sports, Comedy, Social Media |
| @PickSixPreviews | 86,056 | College Football Analyst | College football, Heisman, All-America |
| @HOKNetwork | 49,753 | Architecture | Design, Architecture, Engineering |
| @BearkatsFB | 38,184 | - | - |
| @CaptKibet_ | 36,599 | - | - |
| @coachmikehayde | 36,081 | - | - |
| @NMStateFootball | 32,672 | - | - |
| @I_AM_Worthy99 | 27,529 | - | - |
| @ermayduran | 21,019 | - | - |
| @CoachHulk54 | 18,905 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,896
Followers With Bio
1,104
Followers Without Bio
88.96%
% With Bio
11.04%
% 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 3,245 analyzed14,248
Combined Engagement
9,910
Total Likes
4,338
Total Retweets
2,850
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
First-ever MTSU win over a Top-25 team mood. #BLUEnited | #EATT https://t.co/GgBKuXPApQ
@MichaelRyanRuiz @LeBatardShow get your boy https://t.co/3rIw5eISsl
RT @KevinByard: Every retweet counts as 2 VOTES today and tomorrow. Let’s make it happen! #ProBowlVote #KevinByard https://t.co/yUQXkqdeRl
SAY IT LOUDER @CoachStock 🗣 #BLUEnited | #EATT https://t.co/HK36kIjC8b
𝙏𝙧𝙞-𝘾𝙤𝙪𝙣𝙩𝙮 𝙏𝙧𝙞𝙛𝙚𝙘𝙩𝙖 🌴 Your #BlueRaiders are the first team ever to play (and beat 😎) Miami, Florida Atlantic and FIU in the same season. #BLUEnited | #EATT https://t.co/HqD0xTSbtU
Key Insights & Takeaways
The account frequently shares highlights of significant game moments, such as historic wins, which drive engagement. It leverages partnerships and collaborations with media personalities to expand its reach. Hashtags like #BLUEnited and #EATT are used to foster a sense of community and school spirit.
Strengths
- + Established follower base of 58,934
- + 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 @MT_FB reveals an growing Twitter presence with 58,934 followers. The account demonstrates a content-creator strategy, averaging 52.6 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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