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Washington Softball engagement report

@UWSoftball - 93K followers on X

Measured over 37 original posts from a 30-day window, last computed on September 20, 2026.

Engagement

Middle of its size range
Per follower
0.101%
of 93K followers
Per impression
2.52%
3.7K views on a typical post
Reach
4.01%
of its followers see a post
Typical post
94
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.67/day
active 70% of days
Peak time
17:00 UTC
Thursday

A typical post picks up 94 interactions against 93K followers, an engagement rate of 0.101%. Measured over 37 original posts, its engagement rate beats 52% of 20,183 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 3.7K times each, and 2.52% of those impressions turn into an interaction. That is about 4.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 37 posts sampled, 100% carry an image or video and 8% link out. The account's strongest tracked post pulled 520 interactions, about 5.4x its own typical post.

Measured over 37 original posts from a 30-day window, last computed on September 20, 2026. Recurring tag: #hispanicheritagemonth.

Compared with accounts its own size

Washington Softball's engagement rate beats 52% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 7 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 68% 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 0.101%, Washington Softball sits above the 25th percentile of the 203,212 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.142%.

p100.004%
p250.024%
p50 (median)0.142%
p750.674%
p902.54%
p9982.4%
Engagement rate as a share of followers, across the 203,212 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,901 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 percentile0.004%
25th percentile0.024%
50th percentile0.142%
75th percentile0.674%
90th percentile2.54%
99th percentile82.4%

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 17:00 UTC, and Thursday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video100% of posts+111%+108% to +115%34K
Outbound link8% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 100% 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.
  • 8% 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 70 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • May 19, 20265.4x their median

    The greatest setting is about to get greater πŸ™Œ https://t.co/I5DFHkVvdZ

    4564413775K viewsView on X
  • Sep 7, 20262.6x their median

    Dawgs in the house for some Apple Cup football 🍎 https://t.co/fUvYZTFRMK

    23272013K viewsView on X
  • Sep 1, 20262.3x their median

    Kinda chic to be a π˜Ώπ˜Όπ™’π™‚ https://t.co/FOJta5aOjR

    2151006.8K viewsView on X
  • Aug 31, 20262.0x their median

    If you’re asking β€œwhy Washington?” π™π™π™š π™£π™–π™’π™š 𝙨π™₯π™šπ™–π™ π™¨ 𝙛𝙀𝙧 π™žπ™©π™¨π™šπ™‘π™›. https://t.co/Q0bmBO51K8

    17310105.3K viewsView on X
  • Aug 4, 20261.9x their median

    Get to know the Dawg Mother herself πŸ’œ https://t.co/eM7NPj5fxr

    1694307.1K viewsView on X
  • Sep 13, 20261.8x their median

    Dawgs in the greatest setting in college football 🀩 https://t.co/OUZzeyZbtO

    1636006.9K viewsView on X
  • Sep 15, 20261.7x their median

    dawgs are back dawgs are back dawgs are back!!!! https://t.co/oXIzMmJv4g

    1524007.6K viewsView on X
  • Aug 26, 20261.6x their median

    Seattle is the place to be. https://t.co/tG5NOKxYrs

    1474104.1K viewsView on X
  • Aug 29, 20261.5x their median

    Sending all the birthday love to Amira Rodriguez πŸŽ‰ https://t.co/r721PmtERo

    1410104.8K viewsView on X
  • Sep 14, 20261.5x their median

    Media day from the digital lens πŸ“Έ https://t.co/j3i5nMCrcg

    1383005.1K viewsView 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

#hispanicheritagemonth

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 94 interactions against 93K followers, an engagement rate of 0.101%. Measured over 37 original posts, its engagement rate beats 52% of 20,183 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 3.7K times each, and 2.52% of those impressions turn into an interaction. That is about 4.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 37 posts sampled, 100% carry an image or video and 8% link out. The account's strongest tracked post pulled 520 interactions, about 5.4x its own typical post.

What is Washington Softball's engagement rate on X?
Washington Softball (@UWSoftball) has an engagement rate of 0.101%, based on the median interactions across 37 original posts from the last 30 days against 93,015 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.101%, Washington Softball sits above the 25th percentile of the 203,212 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 @UWSoftball have real engagement?
Its engagement rate beats 52% of the tracked X accounts closest to it in follower count (20,183 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 @UWSoftball post?
Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 1.67 posts per day across the measured window.

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