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Rob Moseley engagement report

@DuckFootball - 70K followers on X

Measured over 33 original posts from a 30-day window, last computed on September 17, 2026.

Engagement

Middle of its size range
Per follower
0.16%
of 70K followers
Per impression
1.45%
7.6K views on a typical post
Reach
11.0%
of its followers see a post
Typical post
111
interactions (median)
Saved
0.013%
1 bookmarks on a typical post
Posting rate
2.07/day
active 20% of days
Peak time
19:00 UTC
Saturday

A typical post picks up 111 interactions against 70K followers, an engagement rate of 0.16%. Measured over 33 original posts, its engagement rate beats 57% of 19,933 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 7.6K times each, and 1.45% of those impressions turn into an interaction. That is about 11.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 19:00 UTC, and Saturday is the busiest day of the week. Of the 33 posts sampled, 6% are part of a thread. The account's strongest tracked post pulled 1.6K interactions, about 14x its own typical post. Recurring topics include #goducks, #producks, #clevstb.

Measured over 33 original posts from a 30-day window, last computed on September 17, 2026. Recurring tags: #goducks, #producks, #clevstb.

Compared with accounts its own size

Rob Moseley's engagement rate beats 57% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 6 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 50% 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 0.16%, Rob Moseley sits above the 50th percentile of the 201,555 accounts in this comparison. That places it in the above the median band, which runs 0.142% to 0.671%.

p100.004%
p250.024%
p50 (median)0.142%
p750.671%
p902.53%
p9982.5%
Engagement rate as a share of followers, across the 201,555 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,929 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 percentile0.671%
90th percentile2.53%
99th percentile82.5%

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 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: 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: 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 video3% of posts+111%+108% to +115%34K
Outbound link3% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 3% 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.
  • 3% 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 208 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 12, 202614x their median

    Dan Lanning: "The score was closer than it really was, because it really wasn’t close. We got our a— kicked." #GoDucks

    1.5K942818102K viewsView on X
  • Sep 12, 20264.6x their median

    Teitum Tuioti: "One game isn’t going to define us. Everyone in the locker room, we gotta stay together right now. It’s gonna be hostile out there. ... Obviously, the first two games weren’t up to our standard. Now there’s a problem, and we’ve gotta fix that problem." #GoDucks

    4611632423K viewsView on X
  • Sep 12, 20264.6x their median

    Lanning: "We didn't have a lot of rhythm on offense; defensively, we gave up way too many explosives, some poor eye discipline, not winning at the point of attack. Our guys are much more capable of that, so all that starts with me. I didn't prepare our guys well enough." #GoDucks

    4102271537K viewsView on X
  • Sep 14, 20264.2x their median

    Watch Oregon’s #9. That’s 235-pound LB Devon Jackson, flying by Ducks DBs. He was No. 11 on the Freaks List: https://t.co/Os3FpHp57m https://t.co/0H557SfUI8

    419201210381K viewsView on X
  • Sep 15, 20263.7x their median

    Press conference with Dante Moore opens with a reporter apologizing on behalf of the press corps for misconstruing his absence postgame Saturday. Said they wouldn't have written what they did if they'd known he was getting medical attention. Very classy. #GoDucks

    3681522337K viewsView on X
  • Sep 15, 20263.3x their median

    Lanning: "Sometimes you've got to learn hard lessons through hard performances, and this is — you know, this is by far the worst performance that we've had since I've been here. ... I felt like our players did respond today. You'll see what that looks like on Saturday." #GoDucks

    3198259154K viewsView on X
  • Sep 15, 20262.5x their median

    Poncho Laloulu said he and the UO leaders are trying to hold players more accountable this week: "Everything starts in practice. ... If you practice terrible it's going to show up in a game; if you practice with elite basic fundamentals, it’s going to show up in a game." #GoDucks

    248199316K viewsView on X
  • Sep 12, 20261.8x their median

    Back to Eugene to regroup. Tough day. Lot to work on the next couple weeks before conference play starts. #GoDucks

    138557110K viewsView on X
  • Sep 12, 20261.7x their median

    DL: "We have to evaluate everything we're doing. On the same note a lot of what we're doing is the same thing that's had success the last few years. So it's not like you throw stuff in the trash. Figure out where are the holes, patch the holes, fix them and attack them." #GoDucks

    1424371025K viewsView on X
  • Sep 12, 20261.6x their median

    Dan Lanning: "This is a game that we need to show improvement; we didn't show improvement, so we have to see that now moving forward with our team." Said tackling and play at the line of scrimmage had to look better today, and didn't. #GoDucks

    158415318K 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

#goducks#producks#clevstb#newprofilepic#reelspeed

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 111 interactions against 70K followers, an engagement rate of 0.16%. Measured over 33 original posts, its engagement rate beats 57% of 19,933 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 7.6K times each, and 1.45% of those impressions turn into an interaction. That is about 11.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 19:00 UTC, and Saturday is the busiest day of the week. Of the 33 posts sampled, 6% are part of a thread. The account's strongest tracked post pulled 1.6K interactions, about 14x its own typical post. Recurring topics include #goducks, #producks, #clevstb.

What is Rob Moseley's engagement rate on X?
Rob Moseley (@DuckFootball) has an engagement rate of 0.16%, based on the median interactions across 33 original posts from the last 30 days against 69,765 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.16%, Rob Moseley sits above the 50th percentile of the 201,555 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 @DuckFootball have real engagement?
Its engagement rate beats 57% of the tracked X accounts closest to it in follower count (19,933 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 @DuckFootball post?
Most posts go out around 19:00 UTC, and Saturday is its busiest day, at roughly 2.07 posts per day across the measured window.

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