Functional Patterns vs jack gilinsky — Instagram Profile Comparison

Compare Functional Patterns and jack gilinsky Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.

This page provides a detailed Instagram comparison between @functionalpatterns (Functional Patterns) and @jackgilinsky (jack gilinsky). With 1.5M and 7.5M 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.

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VS
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Profile Overview

🏃🏻‍♀️ Move better. Eliminate pain. Take the 🤔 out of training your body. Results are 👑 and we make them last Start your pain free journey👇 🛠️

1.5M

Followers

17%

51

Following

12

Posts

50%

ComparisonTrailing
Leader

1/2 of @jackandjack

7.5M

Followers

83%

402

Following

12

Posts

50%

ComparisonLeading

In this overview, @jackgilinsky 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

Top post by @functionalpatterns

There’s something deeply human about watching great movement. When you watch somebody like @jumpman23 move, your nervous system pays attention before your intellect even catches up. Timing, leverage, weight distribution, coordination, posture. Your body recognizes efficient movement patterns instinctively. One of the things brought up by @theleverking in our current @fp.certified HBS2 course is how important it is to watch good movement on film. Not to overanalyze it or impose your beliefs onto it, but to simply observe and let it permeate into your system. Over time, your eye starts recognizing better positioning, better sequencing, better rotational mechanics, and better organization of tension throughout the body. That’s how humans have always learned movement. The problem is that a lot of people study biomechanics intellectually but can’t produce results physically. They can name muscles, ligaments, and movement patterns all day long, but the people they train still move poorly, still hurt, and still lack coordination. That’s because information alone doesn’t reorganize the nervous system. This is why we follow clues that lead to results, not ideology. @fp.evidence is our proof that FP works. A lot of pages online cite elite movers and impose theories onto what they’re seeing after the fact. We don’t do that. We look at what consistently improves posture, gait, breathing, coordination, and pain levels in real human beings. So watch great movers often. Let your nervous system absorb the patterns. Then train in a way that actually allows your body to integrate them. Otherwise it’s just intellectual entertainment disguised as biomechanics. #functionalpatterns #fpisthestandard #projectfunction #biomechanics #jordan

@functionalpatterns
11K
248
Winner
Top post by @jackgilinsky

No caption

@jackgilinsky
141.6K
577
11K likesVS141.6K likes 🏆

@jackgilinsky's best post achieved 141.6K likes, which is 130.6K more than @functionalpatterns's top post at 11K likes. A strong top post typically indicates either viral content, high audience resonance, or effective use of Instagram's recommendation algorithm.

Key Metrics Comparison

@functionalpatterns(0 wins)
VS
(5 wins)@jackgilinsky
1.5M
Followers
80% ahead
7.5M
51
Following
87% ahead
402
12
Total Posts
12
0.20%
Engagement Rate
60% ahead
0.50%
2.9K
Avg Likes
92% ahead
37.4K
96
Avg Comments
70% ahead
320
functionalpatterns0 - 5🏆 jackgilinsky

In this head-to-head comparison, @jackgilinsky wins 5 out of 6 categories while @functionalpatterns takes 0. @jackgilinsky leads overall, but @functionalpatterns shows notable strength in —.

The most significant gap appears in Avg Likes, where @jackgilinsky leads by 92%.

Hashtag Performance

Better Strategy
@functionalpatterns

12

With Hashtags

0

Without Hashtags

Avg per post4.5
Avg Likes2.9K
Avg Comments96
Hashtags boost engagement
#functionalpatterns#projectfunction#fpisthestandard#functionaltraining#posture
@jackgilinsky

0

With Hashtags

12

Without Hashtags

Avg per post0.0
Avg Likes0
Avg Comments0
Hashtags don't help

@functionalpatterns uses an average of 4.5 hashtags per post, while @jackgilinsky does not currently use hashtags. The data shows that hashtags boost engagement for @functionalpatterns.

Engagement Trend

Better Trend
@functionalpatterns
Growing

+71.9%

Engagement change

+73%

Likes

+51%

Comments

Older posts avg2.2K
Recent posts avg3.8K
@jackgilinsky
Declining

-54.4%

Engagement change

-55%

Likes

-27%

Comments

Older posts avg51.8K
Recent posts avg23.6K

@functionalpatterns shows a positive 71.9% engagement growth, indicating increasing audience interest and content resonance.

@jackgilinsky shows a significant -54.4% 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, @functionalpatterns demonstrates the stronger engagement trajectory in this comparison.

Posting Frequency

@functionalpatterns

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Monday
Consistency13%

@jackgilinsky

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Friday
Consistency29%

Both accounts post approximately 12.0 and 12.0 times per week respectively. @jackgilinsky achieves a higher consistency score of 29%, meaning their posting schedule is more predictable.

@functionalpatterns is most active on Monday, while @jackgilinsky prefers Friday.

Advanced Analytics

Authority Score
46
Established
@functionalpatterns
Reach22/25
Engagement2/30
Ratio20/20
Consistency2/15
Verification0/10
Authority Score
Winner
59
Established
@jackgilinsky
Reach22/25
Engagement5/30
Ratio20/20
Consistency2/15
Verification10/10

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

Mega

1.5M followers

Range: 1M-10M

@functionalpatterns

Mega

7.5M followers

Range: 1M-10M

@jackgilinsky

Influence Index
51
/ 100
@functionalpatterns
Influence Index
Winner
68
/ 100
@jackgilinsky

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

@functionalpatterns

0.20%

Benchmark: 0.2-0.5%

Low

@jackgilinsky

0.50%

Benchmark: 0.2-0.5%

Low

Following/Followers Ratio

@functionalpatterns

1:29.4K

Very influential

Excellent

@jackgilinsky

1:18.7K

Very influential

Excellent

Content Density(posts per 1K followers)

@functionalpatterns

0.01

Low

@jackgilinsky

0.00

Low

Content 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, @jackgilinsky emerges as the clear leader in this comparison with 4 metric wins compared to @functionalpatterns's 0.


@functionalpatterns

No leading metrics in this comparison

@jackgilinsky

@jackgilinsky excels in: Followers, Engagement Rate, Avg Likes, Avg Comments.

With an engagement rate of 0.50% (benchmark for this size: 0.2-0.5%), this profile demonstrates below-average audience interaction.

FollowersEngagement RateAvg LikesAvg Comments

Conclusion

This comparison highlights that Instagram success is multifaceted. While @jackgilinsky has the larger audience (7.5M followers), @jackgilinsky generates deeper engagement per post (0.50%). Both accounts represent significant influence within their space on Instagram.

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Analysis FAQ

FAQ About @functionalpatterns vs @jackgilinsky

Detailed answers about this specific comparison and metrics

Based on our real-time data, jackgilinsky leads the follower count with a difference of 6,001,324 followers. Specifically, @functionalpatterns has 1,500,398 followers while @jackgilinsky has 7,501,722 followers. Follower count is one of the most visible Instagram metrics and indicates the overall reach of each account. However, a higher follower count doesn't always mean better performance — engagement rate and content quality are equally important factors to consider when comparing Instagram profiles.

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