Aaron Ward

Aaron Ward

@NHL_AaronWard

Ex NHL’er and TV - @SMTLive Data Science @NHL Player and Puck Tracking Analytics 〽️University of Michigan Alum #GoBlue @SlakerLori 🫶🏻 #Ally 🏳️‍🌈

North Carolina, USA https://www.facebook.com/unsupportedbrowser Joined 2011-01-24 Date of Analysis: Dec 16, 2025

159,976

Followers

990

Following

7,973

Tweets

42.4

Avg Engagement

2,596

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @NHL_AaronWard'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:2011-01-24
  • Verification:No
  • Location:North Carolina, USA

Data Summary

  • Tweets Analyzed:3,203
  • Avg Likes per Tweet:32.6
  • Avg Retweets per Tweet:9.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,203 tweets

His tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across his posts, suggesting a loyal and active follower base.

32.6

Avg Likes/Tweet

9.7

Avg Retweets/Tweet

104,489

Total Likes

31,179

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

0

Median Retweets

14

75th Percentile

11,142

Top Tweet

0.26

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

9.4%

Original

79.2%

Replies

6.6%

Retweets

4.8%

Quotes

0.0%

Threads

0.6%

With Media

24.0%

With Links

21.5%

With #Tags

90.4%

With @Mentions

3.9%

With Emojis

135

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

8.4

Reply/Original Ratio

0.73

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.6%

Weekday Posts

25.4%

Weekend Posts

Top Hashtags

#gohabsgo (81) #goblue (63) #habs (21) #stanleycup (19) #confirmed (12) #leafsforever (12) #gloryglorymanunited (11) #gojetsgo (11) #bellletstalk (11) #leafs (10)

Most Mentioned

@hunterzthompson (697) @mitchygallo (469) @joeyalfieri (305) @tsn690 (214) @thefourthperiod (197) @imstilljon (140) @seanrcampbell (136) @simontsn690 (112) @chengelis (101) @andietsn (92)

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Content Strategy Analysis

Based on 3,203 tweets

Content Type Distribution

Content Breakdown

Original Tweets 302 (9%)
Replies 2,538 (79%)
Retweets 210 (7%)
Quote Tweets 153 (5%)

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 210 retweets (7% 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 3,203 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

His audience includes hockey fans, data science enthusiasts, and individuals interested in sports analytics. The content appeals to both casual fans and those with a deeper interest in the sport's data and culture.

Below Average

Audience Quality

36.8%

Suspicion Index

51.6%

Low-Quality %

6

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

60.9%

Empty Bio

53.9%

<10 Tweets

6.5%

Mass Following (>2K)

0.0%

New (<90 days)

74.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.0%

No URL

42.3%

<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.

43,921,976

Total Potential Reach

6

Median Follower Reach

44

75th Percentile Reach

2.7%

>1K followers

0.6%

>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).

30.2%

Creators

15,077 accounts

15.9%

Consumers

7,955 accounts

53.9%

Dormant

26,968 accounts

141

Verified Followers

0.28% of total

3.3%

Professional Bios

founder, dev, analyst, etc.

0.03

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):

Canada (608) United States (428) Toronto, Ontario (374) Montréal, Québec (349) Ottawa, Ontario (226) Ontario, Canada (214) Edmonton, Alberta (209) Montreal (185) Calgary, Alberta (161) Winnipeg, Manitoba (140)

246

Verified Followers

0.24% of total

8,627

Protected Accounts

8.54% of total

9 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
@Forbes 18,922,945 Media entrepreneurship, business, money
@NHL 6,845,013 Sports Media Hockey, Stanley Cup, Fantasy
@StationCDRKelly 5,267,135 Astronaut Space, Endurance, Stars
@BeatsByAssassin 2,261,399 Multitalented Actor, Director, Rapper
@6BillionPeople 2,033,241 - -
@AmericanAir 1,648,903 Airline Customer service, Travel, Aviation
@SinghLions 1,333,730 Restaurateur Food, Travel, Influencer
@sherylunderwood 1,319,435 TV Host Talk show, radio, sorority
@soledadobrien 1,317,834 Journalist working, mom, journalist
@RexChapman 1,254,352 Commentator Basketball, Horse racing, Commentary

Top Keywords in Follower Bios

hockey (6,167) sports (4,611) love (2,570) father (1,755) life (1,700) husband (1,560) nhl (1,462) music (1,153) leafs (1,133) proud (1,120)

Top Hashtags in Follower Bios

#gohabsgo (187) #1 (137) #nhl (134) #lgrw (127) #billsmafia (122) #goblue (100) #nyr (96) #leafsforever (92) #canucks (84) #habs (80)

43,636

Followers With Bio

57,361

Followers Without Bio

43.21%

% With Bio

56.79%

% 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 3,203 analyzed

32,461

Combined Engagement

18,046

Total Likes

14,415

Total Retweets

6,492

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

20%

With @Mentions

40%

With Links

Topical Analysis:

Hockey Analytics Social Advocacy Sports Commentary Personal Experience Data Science Entertainment

Key Insights & Takeaways

He blends personal experience with professional expertise in hockey analytics. His content often includes social commentary and advocacy for important causes. He uses humor and bold opinions to engage his audience and spark discussion.

Strengths

  • + Established follower base of 159,976
  • + 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 @NHL_AaronWard reveals an growing Twitter presence with 159,976 followers. The account demonstrates a conversation-first approach, averaging 42.4 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