David Borges
UConn men's basketball beat writer for CT Insider https://www.ctinsider.com/, Hearst CT Media. Author of Rebound!, 2019 NSMA Connecticut Sportswriter of the Year.
13,368
Followers
675
Following
37,663
Tweets
76.0
Avg Engagement
308
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DaveBorges'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:2010-12-16
- Verification:No
- Location:Southington, CT
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:71.4
- Avg Retweets per Tweet:4.5
- Followers Analyzed:12,022
Engagement Analysis
Based on 500 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The consistent engagement suggests a loyal and interested following.
71.4
Avg Likes/Tweet
4.5
Avg Retweets/Tweet
35,720
Total Likes
2,271
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
2
Median Retweets
81
75th Percentile
1,294
Top Tweet
5.68
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
68.8%
Original
8.2%
Replies
13.6%
Retweets
9.4%
Quotes
0.0%
Threads
0.0%
With Media
35.8%
With Links
1.2%
With #Tags
23.0%
With @Mentions
1.4%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.69
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
58.4%
Weekday Posts
41.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 68 retweets (14% 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 500 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 12,022 followersHis audience primarily consists of basketball fans, especially those interested in UConn and college basketball. He also attracts followers from the sports journalism and media sectors.
Good
Audience Quality
19.6%
Suspicion Index
24.3%
Low-Quality %
94
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.1%
Empty Bio
16.6%
<10 Tweets
15.2%
Mass Following (>2K)
0.0%
New (<90 days)
36.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.9%
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.
36,370,438
Total Potential Reach
94
Median Follower Reach
294
75th Percentile Reach
9.3%
>1K followers
1.6%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
64.7%
Creators
7,784 accounts
18.7%
Consumers
2,247 accounts
16.6%
Dormant
1,991 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):
302
Verified Followers
2.51% of total
1,424
Protected Accounts
11.84% 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 | 14,105,719 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BeatsByAssassin | 2,266,235 | Multitalented | Actor, Director, Rapper |
| @SLAMonline | 1,338,337 | Sports Media | Basketball, Sneakers, Fashion |
| @soledadobrien | 1,320,039 | Journalist | working, mom, journalist |
| @CSuiteConfess | 1,005,932 | Executive Coach | #MeToo, Executives, Navigating |
| @larrykim | 729,642 | Entrepreneur | Startups, AdWords, Chatbots |
| @marcdamelio | 663,024 | Influencer | Family, Entrepreneur, Content Creator |
| @CoachSchuman | 589,139 | Football Coach | Football, Recruiting, Motivation |
| @samstein | 496,176 | Journalist | Politics, Journalism, News |
| @dameliofamily | 463,237 | Influencers | Family, TikTok, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,437
Followers With Bio
4,585
Followers Without Bio
61.86%
% With Bio
38.14%
% 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 500 analyzed5,055
Combined Engagement
4,727
Total Likes
328
Total Retweets
1,011
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Five national titles in 24 years. Think of the excellent, basketball-oriented programs that haven't even been to a Final Four in that span. Truly incredible.
Run it back next year, Andre Jackson Jr.? “If Coach Hurley wants me back, I’ll be back!”
Alex Karaban: “Hell yeah. I'm talking to D.C., maybe we can pull off some Breanna Stewart 4-for-4 (national titles). That's gonna be damn near impossible, but you've got to dream big in this program." https://t.co/oPus1I9qdO
Alex Karaban: "When Creighton wins tomorrow and makes it to the Final Four ... Big East is the best conference in the nation. I'm telling you right now, there's nothing else like it."
Sanogo really is a terrific young man. Even bends down to the shorter reporters' level to make things easier. Seriously, how often do you see a reporter having to raise his/her arm up with the mic just to talk with a much taller player. Like, almost every time. https://t.co/7BE1E
Key Insights & Takeaways
Borges focuses on UConn basketball success and player quotes, which resonate well with his audience. He often highlights achievements and potential future successes, which drives engagement. His content is tailored to both fans and sports media professionals, broadening his reach.
Strengths
- + Established follower base of 13,368
- + 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 @DaveBorges reveals an growing Twitter presence with 13,368 followers. The account demonstrates a content-creator strategy, averaging 76.0 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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