Jonathan Givony

Jonathan Givony

@DraftExpress

NBA Draft analyst at @ESPN. Founder and co-owner of https://t.co/SY2jriFKj5, a private scouting and analytics service utilized by NBA, NCAA and Int'l teams

New York, USA https://www.espn.com/nba/draft/news Joined 2009-05-30 Date of Analysis: Dec 16, 2025

206,190

Followers

1,235

Following

33,218

Tweets

333.9

Avg Engagement

5,068

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DraftExpress'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:2009-05-30
  • Verification:No
  • Location:New York, USA

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:274.1
  • Avg Retweets per Tweet:59.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

Each tweet typically receives around 7,994 likes and 987 retweets, indicating strong audience interaction. The content is highly shareable and relevant to the draft community.

274.1

Avg Likes/Tweet

59.8

Avg Retweets/Tweet

890,859

Total Likes

194,346

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

83

Median Likes

22

Median Retweets

315

75th Percentile

56,041

Top Tweet

1.62

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

60.5%

Original

10.3%

Replies

17.9%

Retweets

11.4%

Quotes

0.0%

Threads

0.4%

With Media

69.0%

With Links

2.9%

With #Tags

25.2%

With @Mentions

2.1%

With Emojis

216

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.17

Reply/Original Ratio

0.63

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.2%

Weekday Posts

22.8%

Weekend Posts

Top Hashtags

#nbadraft (10) #1 (6) #fibau19 (5) #nba (4) #france (3) #australian (3) #montverde (3) #florida (3) #sec (3) #tennessee (3)

Most Mentioned

@mike_schmitz (221) @draftexpress (158) @dxcontent (149) @wojespn (66) @jeffborzello (38) @bobbymarks42 (30) @zachlowe_nba (27) @malika_andrews (21) @kpelton (21) @espn (16)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,965 (60%)
Replies 334 (10%)
Retweets 582 (18%)
Quote Tweets 369 (11%)

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 582 retweets (18% 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 audience includes NBA teams, NCAA coaches, and international scouts interested in player evaluations. Fans of basketball and draft prospects are also engaged.

Average

Audience Quality

20.6%

Suspicion Index

25.2%

Low-Quality %

66

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

38.1%

Empty Bio

18.1%

<10 Tweets

11.1%

Mass Following (>2K)

0.0%

New (<90 days)

45.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.3%

No URL

12.3%

<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.

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Follower Reach & Influence

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

51,269,353

Total Potential Reach

66

Median Follower Reach

262

75th Percentile Reach

7.6%

>1K followers

0.9%

>10K followers

0.2%

>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).

65.7%

Creators

32,862 accounts

16.2%

Consumers

8,109 accounts

18.1%

Dormant

9,029 accounts

432

Verified Followers

0.86% of total

6.4%

Professional Bios

founder, dev, analyst, etc.

0.12

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):

United States (388) Chicago, IL (324) Houston, TX (309) Los Angeles, CA (298) New York, NY (187) Atlanta, GA (185) Toronto, Ontario (174) New York, USA (162) Philadelphia, PA (160) Dallas, TX (138)

799

Verified Followers

0.79% of total

12,792

Protected Accounts

12.67% of total

7 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
@SportsCenter 41,539,631 Sports News sports, news, app
@JohnCena 14,100,211 Wrestler Wrestling, Motivation, Self-promotion
@jack 6,524,578 Cryptocurrency Trader bitcoin, chill, #nostr
@thereallisaann 1,995,877 Sports Bettor Fantasy Sports, Sports Betting, Podcast
@KameronBennett 1,819,193 DJ Music, DJing, Booking
@BarstoolBigCat 1,644,576 Sports commentator Sports, Podcasting, Gambling
@WashWizards 1,255,854 Sports Team Basketball, NBA, Washington DC
@RexChapman 1,254,119 Commentator Basketball, Horse racing, Commentary
@KalaniBallFree 1,243,889 Athlete Email Marketing, Entrepreneurship, Social Media
@hornets 1,201,864 Sports Team Basketball, Charlotte, Flying

Top Keywords in Follower Bios

sports (6,089) basketball (5,131) nba (3,197) coach (2,548) love (1,837) life (1,579) alum (1,576) husband (1,539) father (1,509) university (1,309)

Top Hashtags in Follower Bios

#nba (263) #lakeshow (252) #thunderup (233) #mffl (184) #nbatwitter (176) #dubnation (167) #1 (154) #newyorkforever (153) #bbn (148) #wethenorth (128)

62,515

Followers With Bio

38,482

Followers Without Bio

61.9%

% With Bio

38.1%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

112,780

Combined Engagement

98,250

Total Likes

14,530

Total Retweets

22,556

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Nba Draft Player Analysis Scouting Basketball Highlights Prospect Development
Jonathan Givony
@DraftExpress

"I want to be NBA player." - mission accomplished! https://t.co/hXl46JQmoW https://t.co/MNpKzKru82

2021-07-21
Retweets: 8,670 Likes: 47,371 Engagement: 56,041
Jonathan Givony
@DraftExpress

37 points, 5 blocks and 7 made 3s for Victor Wembanyama in his first ever game on US soil. Showed exactly why he's considered a generational talent and the projected No. 1 pick in a loaded draft class. https://t.co/DolqdnkAty

2022-10-05
Retweets: 2,486 Likes: 19,159 Engagement: 21,645
Jonathan Givony
@DraftExpress

Bronny James is now a projected top-10 pick thanks to the significant jump he's made at Sierra Canyon, developing into arguably the best perimeter defender in his class while making strides with his shooting and playmaking . Full 2024 mock draft on ESPN: https://t.co/Cw5AcgxiKy h

2023-02-22
Retweets: 1,514 Likes: 14,695 Engagement: 16,209
Jonathan Givony
@DraftExpress

Victor Wembanyama makes it look easy with this absurd running pullup 3 falling out of bounds from the corner demonstrating his exceptional footwork and body control. We've never seen anything remotely close to this before from a player this size. https://t.co/0pgRWuVSUj

2022-10-06
Retweets: 1,001 Likes: 10,140 Engagement: 11,141
Jonathan Givony
@DraftExpress

Future No. 1 pick Victor Wembanyama was unreal again today. 24 points, 9 rebounds, 3 blocks and the important road win in OT versus previously undefeated Le Mans, including plenty of dunks, 3s and tremendous defensive plays. +17 in a narrow win. https://t.co/AmfHTjgGga

2022-10-15
Retweets: 859 Likes: 6,885 Engagement: 7,744

Key Insights & Takeaways

Focus on standout performances by top prospects like Victor Wembanyama and Bronny James Highlight player development and progression, especially in key moments Provide detailed analysis that helps teams and fans understand player potential

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 206,190
  • + 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 @DraftExpress reveals an well-established Twitter presence with 206,190 followers. The account demonstrates a content-creator strategy, averaging 333.9 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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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