@sports.buster vs @foot-mood

Side-by-side Snapchat Spotlight performance comparison.

@sports.buster has 199.6K subscribers and @foot-mood has 257.1K. Across the 92 and 17 Spotlight posts we have collected, @sports.buster averages 250.9K views per post and @foot-mood 5.4K; engagement is 0.03% against 7.77%.

@sports.buster

Sports Buster

@sports.buster

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@foot-mood

Foot Mood

@foot-mood

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@sports.buster Metric @foot-mood
199.6K Subscribers 257.1K
92 Spotlight Posts 17
11.5M Total Views 65.1K
250.9K Avg Views / Post 5.4K
4.8M Best Post Views 14.2K
0.03% Engagement Rate (%) 7.77%
2.2K Subscribers per Post 15.1K

What the posts and readings show

On the typical post, @sports.buster gets 1.3x the views of @foot-mood (6,117 against 4,854 for the middle post).

@sports.buster: Across the 45 of its 92 collected Spotlight posts that have a view count, the middle post has 6,117 views, while the average is 256,433: a few big posts lift it, and the most-viewed one holds 41% of these views. The most-viewed post (4,787,155 views) went up on July 9, 2024. The collected posts run from July 3, 2024 to October 21, 2026. Subscribers went from 198,500 on May 7, 2026 to 199,600 on October 22, 2026 (+0.6%).

@foot-mood: Across the 11 of its 17 collected Spotlight posts that have a view count, the middle post has 4,854 views, close to the average of 5,922. The most-viewed post (14,231 views) went up on November 17, 2025. The collected posts run from August 26, 2025 to November 17, 2025. Subscribers went from 259,300 on May 11, 2026 to 257,100 on October 24, 2026 (-0.8%).

Each account's full report has its growth chart, posting pattern and top posts: @sports.buster and @foot-mood.

Methodology: the figures cover the Spotlight posts SnapDataHub has collected for each account, not every post it has made. Averages and the middle (median) post use only posts that came with a view count. Engagement rate = (likes + comments) / views × 100 over the collected posts. Subscriber counts are Snapchat's own; it rounds counts of 1 million or more to the nearest 100,000. How we calculate these numbers.