Atalanta B.C. vs Python Programming — Instagram Profile Comparison
Compare Atalanta B.C. and Python Programming Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.
This page provides a detailed Instagram comparison between @atalantabc (Atalanta B.C.) and @python.coder_ (Python Programming). With 1.2M and 1.2M followers respectively, both accounts are classified as Mega and Mega level Instagram profiles. Our analysis covers key areas including follower statistics, engagement rates, posting frequency, hashtag strategy, and authority scores.
Profile Overview
⚫️🔵 Official account of Atalanta BC 🏆 @europaleague 2023/24 📍 Bergamo 🏟 @newbalancearena 👕 @atalanta_store_official 👦 @atalantabc_under23
1.2M
Followers
50%
113
Following
18.6K
Posts
93%
💻• Learn Python & AI 🤖 📥• Collab - DM or pythoncoder85@gmail. 👇🏼 one prompt, viral made. 👇
1.2M
Followers
50%
72
Following
1.5K
Posts
7%
In this overview, @atalantabc is currently leading the comparison with stronger numbers in 2 out of 3 primary metrics. The percentage bars reflect each account's share relative to the combined total of both profiles.
Top Performing Posts
Data Structures Notes 💻...Save it & Share it 🚀 .... . . 🚀 Follow us & Comment - 'py' for Python Handwritten Notes in DM 📤 . . #Computer #pythonprogramming #coders #datascience #codingbootcamp #web #engineering #developers #programmerlife #coderlife #daysofcode #artificialintelligence #android #codingmemes #robotics #design #developerlife #ai #stem #webdev #learntocode #website #dev #codingforkids #frontend #reactjs
@python.coder_'s best post achieved 39.6K likes, which is 33.3K more than @atalantabc's top post at 6.3K likes. A strong top post typically indicates either viral content, high audience resonance, or effective use of Instagram's recommendation algorithm.
Key Metrics Comparison
In this head-to-head comparison, @python.coder_ wins 4 out of 6 categories while @atalantabc takes 2. @python.coder_ leads overall, but @atalantabc shows notable strength in Following.
The most significant gap appears in Avg Comments, where @python.coder_ leads by 97%.
Hashtag Performance
12
With Hashtags
0
Without Hashtags
11
With Hashtags
1
Without Hashtags
Both accounts employ hashtag strategies. @atalantabc uses an average of 1.7 hashtags per post compared to @python.coder_'s 8.1.
@python.coder_ has a more effective hashtag strategy
Engagement Trend
+20.4%
Engagement change
Likes
Comments
-97.1%
Engagement change
Likes
Comments
@atalantabc shows a positive 20.4% engagement growth, indicating increasing audience interest and content resonance.
@python.coder_ shows a significant -97.1% engagement decline. This sharp drop may be influenced by one or more viral older posts that inflated the historical average, rather than indicating a genuine loss of audience interest.
Overall, @atalantabc demonstrates the stronger engagement trajectory in this comparison.
Posting Frequency
@atalantabc
@python.coder_
Both accounts post approximately 12.0 and 12.0 times per week respectively. @atalantabc achieves a higher consistency score of 35%, meaning their posting schedule is more predictable.
This significant consistency gap suggests that @atalantabc follows a more disciplined content calendar, which typically results in better algorithm favorability on Instagram.
@atalantabc is most active on Sunday, while @python.coder_ prefers Monday.
Advanced Analytics
The Authority Score is calculated from five weighted factors: Reach (max 25), Engagement (max 30), Follower-to-Following Ratio (max 20), Consistency (max 15), and Verification status (max 10). Scores above 80 are rated "Elite".
Account Classification
1.2M followers
Range: 1M-10M
@atalantabc
1.2M followers
Range: 1M-10M
@python.coder_
The Influence Index reflects an account's overall impact potential on a scale of 1-100, combining audience size with engagement quality and content activity.
Engagement Quality
@atalantabc
0.23%
Benchmark: 0.2-0.5%
@python.coder_
0.56%
Benchmark: 0.2-0.5%
Following/Followers Ratio
@atalantabc
1:10.6K
Very influential
@python.coder_
1:16.6K
Very influential
Content Density(posts per 1K followers)
@atalantabc
15.61
Very Active@python.coder_
1.26
ActiveContent Density measures total posts per 1,000 followers. Higher values indicate more prolific content creation relative to audience size. Celebrity accounts typically show low density due to massive follower counts.
Expert Verdict & Conclusion
Overall Analysis:
After analyzing all available metrics across 5 categories, @python.coder_ emerges as the clear leader in this comparison with 4 metric wins compared to @atalantabc's 1.
@atalantabc
@atalantabc excels in: Posts.
@python.coder_
@python.coder_ excels in: Followers, Engagement Rate, Avg Likes, Avg Comments.
With an engagement rate of 0.56% (benchmark for this size: 0.2-0.5%), this profile demonstrates below-average audience interaction.
Conclusion
This comparison highlights that Instagram success is multifaceted. While @python.coder_ has the larger audience (1.2M followers), @python.coder_ generates deeper engagement per post (0.56%). Both accounts represent significant influence within their space on Instagram.
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