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Big League Digest engagement report

@BigLeagueDigest - 240K followers on X

Measured over 39 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Middle of its size range
Per follower
0.029%
of 240K followers
Per impression
0.382%
19K views on a typical post
Reach
7.72%
of its followers see a post
Typical post
71
interactions (median)
Saved
0.016%
3 bookmarks on a typical post
Posting rate
3.97/day
active 27% of days
Peak time
19:00 UTC
Sunday

A typical post picks up 71 interactions against 240K followers, an engagement rate of 0.029%. Measured over 39 original posts, its engagement rate beats 38% of 20,444 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 19K times each, and 0.382% of those impressions turn into an interaction. That is about 7.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 19:00 UTC, and Sunday is the busiest day of the week. Of the 39 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 21K interactions, about 295x its own typical post.

Measured over 39 original posts from a 30-day window, last computed on September 28, 2026. Recurring tag: #game162.

Compared with accounts its own size

Big League Digest's engagement rate beats 38% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 21% 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 0.029%, Big League Digest sits above the 25th percentile of the 205,782 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,782 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.143%
75th percentile0.679%
90th percentile2.56%
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 19:00 UTC, and Sunday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 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 140 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

  • Sep 27, 2026295x their median

    Max Scherzer refuses to leave the game after his 104th pitch. ⚾️♥️ https://t.co/0yOeLuh8kd

    20K9291112273.0M viewsView on X
  • Sep 26, 2026234x their median

    Justin Verlander's ending was one for the ages. Had to add the moneyball music, because how in the heck can you not be romantic about baseball after something like that? https://t.co/l26CZrDb8g

    15K1.5K87178699K viewsView on X
  • Sep 9, 2026174x their median

    STATCAST SAYS THIS THROW FROM ELLY WAS 105.3 MPH... https://t.co/4SS32476ff

    11K8781542924.4M viewsView on X
  • Sep 27, 2026135x their median

    Jameis Winston tackled Cam Skattebo 😭 https://t.co/h4c1ut8a6q

    9.0K353130153602K viewsView on X
  • Sep 27, 202685x their median

    "What makes you confident that this team will be able to contend next year?" Juan Soto: "Carson Benge." https://t.co/4tnam7pRPC

    5.6K3756067272K viewsView on X
  • Sep 27, 202685x their median

    Justin Verlander reveals the game that convinced him to stop throwing as hard as he could “The whole knock on me early in my career was that I threw too many pitches. I’d throw 120 pitches, but I was only going six innings.” “I had a game in Boston where we really needed me to get deep in the game. Our bullpen was shot. I go out the first couple innings, and I look up and I’ve got sixty-something pitches.” “To me, the most important thing for that game was to chew innings. I was like, ‘I can’t keep this pace.’ So I ended up slowing myself down. I was throwing fastballs at 89. I threw a changeup in that game at 91 and threw a fastball at 89 in the same game.” “I just pulled the throttle way back. I was like, ‘Man, here, hit it. Put it in play.’ All of a sudden, I was like, ‘Man, I am really able to hit my spot.’” “I basically took that mentality and flipped it going into the next season. Let me try starting games like this and then building up as I go. If I get in trouble, I’ve always got it in my back pocket.” “I always viewed it from the hitter’s perspective as you’re facing three different pitchers in three different at-bats, and they’re progressively getting harder to hit.”

    5.8K1621626529K viewsView on X
  • Sep 27, 202624x their median

    Alex Bregman leaves the yard again 🤯 #Game162 https://t.co/jopWlvVwDO

    1.6K872719359K viewsView on X
  • Sep 27, 202617x their median

    Was Drake Maye crying on the sideline?? https://t.co/52bIiYa9Nk

    1.1K294238172K viewsView on X
  • Sep 27, 202612x their median

    Good luck trying to hit anything Jacob Misiorowski throws your way 😳 https://t.co/YqeRdjuyRx

    81849133164K viewsView on X
  • Sep 8, 202610x their median

    Tarik Skubal is expected to sign for $400 million this offseason, per @JeffPassan https://t.co/wUstMH4j0V

    58721792773K 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

#game162

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 71 interactions against 240K followers, an engagement rate of 0.029%. Measured over 39 original posts, its engagement rate beats 38% of 20,444 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 19K times each, and 0.382% of those impressions turn into an interaction. That is about 7.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 19:00 UTC, and Sunday is the busiest day of the week. Of the 39 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 21K interactions, about 295x its own typical post.

What is Big League Digest's engagement rate on X?
Big League Digest (@BigLeagueDigest) has an engagement rate of 0.029%, based on the median interactions across 39 original posts from the last 30 days against 239,882 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.029%, Big League Digest sits above the 25th percentile of the 205,782 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 @BigLeagueDigest have real engagement?
Its engagement rate beats 38% of the tracked X accounts closest to it in follower count (20,444 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 @BigLeagueDigest post?
Most posts go out around 19:00 UTC, and Sunday is its busiest day, at roughly 3.97 posts per day across the measured window.

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