Fran Fraschilla
ESPN college basketball analyst and international hoops junkie. Former head coach at Manhattan, St. John's and New Mexico
197,325
Followers
2,242
Following
52,628
Tweets
159.7
Avg Engagement
2,938
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @franfraschilla'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:2009-07-22
- Verification:No
- Location:Dallas, TX
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:114.3
- Avg Retweets per Tweet:45.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interest and trust in his insights. The engagement suggests that his content is both informative and thought-provoking.
114.3
Avg Likes/Tweet
45.4
Avg Retweets/Tweet
371,391
Total Likes
147,373
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
2
Median Retweets
88
75th Percentile
49,415
Top Tweet
0.81
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
31.8%
Original
35.4%
Replies
14.7%
Retweets
18.1%
Quotes
0.0%
Threads
0.0%
With Media
43.8%
With Links
4.8%
With #Tags
89.0%
With @Mentions
23.2%
With Emojis
143
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.11
Reply/Original Ratio
1.23
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 479 retweets (15% 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 3,249 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 50,000 followersHis audience includes college basketball fans, coaches, and analysts interested in the sport's evolving landscape. They are likely looking for expert opinions and in-depth analysis of current issues in college basketball.
Average
Audience Quality
20.4%
Suspicion Index
24.8%
Low-Quality %
80
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.2%
Empty Bio
16.5%
<10 Tweets
13.8%
Mass Following (>2K)
0.0%
New (<90 days)
42.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.5%
No URL
10.4%
<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.
74,921,386
Total Potential Reach
80
Median Follower Reach
287
75th Percentile Reach
8.6%
>1K followers
1.1%
>10K followers
0.3%
>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).
65.2%
Creators
32,617 accounts
18.3%
Consumers
9,130 accounts
16.5%
Dormant
8,253 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):
951
Verified Followers
0.94% of total
11,837
Protected Accounts
11.72% of total
8 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 |
|---|---|---|---|
| @JohnCena | 14,100,201 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mcuban | 8,849,718 | Entrepreneur | NFTs, Entrepreneurship, Investing |
| @wojespn | 5,897,414 | Sports Journalist | NBA, Insider, Podcasting |
| @6BillionPeople | 2,033,702 | - | - |
| @thereallisaann | 1,995,782 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
| @peter_king | 1,784,293 | Sports Journalist | Sports, News, Analysis |
| @MarchMadnessMBB | 1,701,258 | Sports Media | - |
| @BarstoolBigCat | 1,644,518 | Sports commentator | Sports, Podcasting, Gambling |
| @Chris_Broussard | 1,437,776 | Sports Analyst | Sports, Media, Activism |
| @arielhelwani | 1,331,008 | Journalist | MMA, Spotify, BTSport |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,393
Followers With Bio
40,605
Followers Without Bio
59.8%
% With Bio
40.2%
% 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.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,249 analyzed90,452
Combined Engagement
11,785
Total Likes
78,667
Total Retweets
18,090
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @JordanKobi: A Bottle of water can be .50 cents at a supermarket. $2 at the gym. $3 at the movies and $6 on a plane. Same water. Only th…
RT @AdamSandler: Bo Cruz! Getting it done. Love you Juancho. And Willie! Congrats to the whole Spanish team. https://t.co/TGIY2OYZJC
RT @DrewMaddux: After his coaches tore chairs up and kicked trash cans over, University of Houston’s Jamal Shead stopped and picked up the…
I am hearing that some talented college teams are starting to crack because of NIL payments not being made on time, NIL promises not kept or jealousy among teammates. Not a value judgement on NIL. It’s just human nature. The “new normal.”
Coaches: Here’s my takeaways from @umichbball_ -@BadgerMBB . Judge for yourself but I know coaching 101: 1. It’s to hard to coach two teams at once. You coach yours, & I’ll coach mine. 2. If you are still pressing, I’m helping my team. 3. Know the rules. https://t.co/5
Key Insights & Takeaways
Fraschilla highlights the impact of NIL payments on college teams and the challenges they face. He provides takeaways from games and offers coaching advice based on his experience. He emphasizes the importance of coaching one's own team and dealing with the realities of the sport.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 197,325
- + High community engagement through conversations
- + 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 @franfraschilla reveals an well-established Twitter presence with 197,325 followers. The account demonstrates a conversation-first approach, averaging 159.7 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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