Scottie Upshall
Instagram @Supshall9 🇨🇦 🐂
69,894
Followers
726
Following
1,737
Tweets
138.0
Avg Engagement
1,401
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ScottieUpshall'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:2009-10-14
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,687
- Avg Likes per Tweet:106.7
- Avg Retweets per Tweet:31.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,687 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is emotionally charged, which likely drives engagement and shares.
106.7
Avg Likes/Tweet
31.3
Avg Retweets/Tweet
180,043
Total Likes
52,735
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
3
Median Retweets
58
75th Percentile
10,453
Top Tweet
1.97
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
51.7%
Original
11.6%
Replies
8.8%
Retweets
27.8%
Quotes
0.0%
Threads
0.9%
With Media
54.5%
With Links
23.7%
With #Tags
46.8%
With @Mentions
9.0%
With Emojis
121
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.22
Reply/Original Ratio
3.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,687 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 149 retweets (9% 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 1,687 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 followersHis followers are likely hockey fans and enthusiasts who appreciate in-depth analysis and passionate commentary. The audience is primarily interested in hockey plays, player performances, and game narratives.
Good
Audience Quality
19.7%
Suspicion Index
28.8%
Low-Quality %
68
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.7%
Empty Bio
15.6%
<10 Tweets
8.7%
Mass Following (>2K)
0.0%
New (<90 days)
41.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.4%
No URL
9.8%
<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.
10,314,313
Total Potential Reach
68
Median Follower Reach
204
75th Percentile Reach
4.6%
>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).
66.5%
Creators
6,646 accounts
18.0%
Consumers
1,797 accounts
15.6%
Dormant
1,557 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):
81
Verified Followers
0.81% of total
1,422
Protected Accounts
14.22% 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 |
|---|---|---|---|
| @SinghLions | 1,328,358 | Restaurateur | Food, Travel, Influencer |
| @maxhoma23 | 589,078 | - | - |
| @dannysullivan | 528,765 | Search Liaison | search, technology, sci-fi |
| @novogratz | 463,126 | CEO | Bitcoin, 🍄, Social Justice |
| @DraftKings | 368,516 | Sports Betting | Daily Fantasy Sports, Fantasy News, Sports Gambling |
| @IsabellaMDeLuca | 254,000 | - | - |
| @JVReemer21 | 229,438 | Athlete | Hockey, New Jersey, Instagram |
| @DKSportsbook | 219,359 | Sports Betting | Sports betting, Fun, Responsible gambling |
| @JennPellegrino | 208,372 | News Anchor | News, Politics, Media |
| @Stugotz790 | 184,912 | Radio Host | Sports, Comedy, Radio |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,233
Followers With Bio
4,767
Followers Without Bio
52.33%
% With Bio
47.67%
% 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 1,687 analyzed40,498
Combined Engagement
27,241
Total Likes
13,257
Total Retweets
8,100
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
RT @Tesla: https://t.co/mq8y8Rtuej
For those u haven’t played the game.... coming down from your WING (as a winger) to hit a vulnerable guy on a wraparound is as DIRTY as it gets. Such as BELOW. I know because I’ve done it, lots. I deserved a punch in the face too. If this hit was on McDavid, 10 GAMER MIN! ht
Kassian payed the price already. His team lost a big game on his instigator penalty. Smoked 3 times by M.T and he took it like a MAN. By the 3rd hit, he had enough and let the kid know it’s still a MANS game. (Or is it?) Sometimes a punch in the face (or 5) is what a guy needs
Omg! This is THE BEST SINGLE HANDED PERFORMANCE by a hockey player ever in a Stanley Cup game 7!! Binnington is a Legend legend legend!!! Wow wow
Bucci, this HIT is a monster!! Barzal has his head down the whole time (5secs at least), he knows better. If this kinda hit doesn’t make a hockey fan hard as a rock, what will? (And btw, lets hit the links Bucci, I’m retired!) https://t.co/D0m2pk4dSY
Key Insights & Takeaways
He often highlights controversial or dramatic moments in hockey games, which can spark debate and discussion. He uses strong language and emotional expressions to convey his opinions, which resonates with his audience. He frequently references specific players and games, indicating a deep knowledge and passion for the sport.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 69,894
- + 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 @ScottieUpshall reveals an well-established Twitter presence with 69,894 followers. The account demonstrates a content-creator strategy, averaging 138.0 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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