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Michael Thomas engagement report

@Cantguardmike - 467K followers on X

Measured over 13 original posts from a 30-day window, last computed on September 7, 2026.

Engagement

Middle of its size range
Per follower
0.114%
of 467K followers
Per impression
0.715%
74K views on a typical post
Reach
15.9%
of its followers see a post
Typical post
532
interactions (median)
Saved
0.024%
18 bookmarks on a typical post
Posting rate
2.5/day
active 67% of days
Peak time
04:00 UTC
Saturday

A typical post picks up 532 interactions against 467K followers, an engagement rate of 0.114%. Measured over 13 original posts, its engagement rate beats 67% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 74K times each, and 0.715% of those impressions turn into an interaction. That is about 15.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 04:00 UTC, and Saturday is the busiest day of the week. Of the 13 posts sampled, 62% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 37x its own typical post. Recurring topics include #gobucks, #hsld, #jets.

Measured over 13 original posts from a 30-day window, last computed on September 7, 2026. Recurring tags: #gobucks, #hsld, #jets.

Compared with accounts its own size

Michael Thomas's engagement rate beats 67% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 39% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.114%, Michael Thomas sits above the 50th percentile of the 66,536 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.5%.

p100.002%
p250.016%
p50 (median)0.1%
p750.5%
p902.09%
p99119.7%
Engagement rate as a share of followers, across the 66,536 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,995 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.5%
90th percentile2.09%
99th percentile119.7%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 04:00 UTC, and Saturday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video62% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 62% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 88 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Aug 8, 202637x their median

    https://t.co/D9az66vKZW

    18K1.9K158143482K viewsView on X
  • Aug 8, 202620x their median

    https://t.co/BEXUzBx8sg

    9.6K996574198K viewsView on X
  • Aug 9, 202617x their median

    And to my teammates, we know the truth. #WhoDat https://t.co/RcuKxpTH8j

    8.2K793161250K viewsView on X
  • Sep 5, 202615x their median

    https://t.co/5LdkFvC43Z

    7.8K361014106K viewsView on X
  • Aug 9, 202613x their median

    🫡 https://t.co/AUNWvAk2Sh

    6.3K49602574K viewsView on X
  • Sep 5, 202611x their median

    I need to see Jeremiah getting fed just like buddy or we riot. #GoBucks

    5.4K508090138K viewsView on X
  • Aug 7, 20267.1x their median

    https://t.co/eEfWlaFI25

    3.5K172062877K viewsView on X
  • Aug 7, 20262.5x their median

    https://t.co/uH2mlSrcr2

    1.2K15801058K viewsView on X
  • Aug 31, 20262.4x their median

    DEVELOPING: Brandon Inniss could reportedly enter “first-round conversations” with a strong final season at Ohio State. One NFL scout reportedly believes there are “comparisons to be made” between Inniss and Jaxon Smith-Njigba (Seahawks WR). For reference, Inniss is 6’-0”, 199 pounds, while JSN stands at 6’-0”, 197 pounds 😳

    98249155113445K viewsView on X
  • Nov 30, 2014

    Drew Brees is 35 years old & #Saints have seen arm strength wane. He’s not big like Brady or Manning. #Saints must be prepared for the end

    24424412597View on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#gobucks#hsld#jets#saints#whodat

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 532 interactions against 467K followers, an engagement rate of 0.114%. Measured over 13 original posts, its engagement rate beats 67% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 74K times each, and 0.715% of those impressions turn into an interaction. That is about 15.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 04:00 UTC, and Saturday is the busiest day of the week. Of the 13 posts sampled, 62% carry an image or video. The account's strongest tracked post pulled 20K interactions, about 37x its own typical post. Recurring topics include #gobucks, #hsld, #jets.

What is Michael Thomas's engagement rate on X?
Michael Thomas (@Cantguardmike) has an engagement rate of 0.114%, based on the median interactions across 13 original posts from the last 30 days against 466,734 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.114%, Michael Thomas sits above the 50th percentile of the 66,536 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @Cantguardmike have real engagement?
Its engagement rate beats 67% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @Cantguardmike post?
Most posts go out around 04:00 UTC, and Saturday is its busiest day, at roughly 2.5 posts per day across the measured window.

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