Ric Bucher engagement report
@RicBucher - 594K followers on X
Measured over 19 original posts from a 30-day window, last computed on October 9, 2026.
Engagement
A typical post picks up 5 interactions against 594K followers, an engagement rate of 0.001%. Measured over 19 original posts, its engagement rate beats 10% of 19,932 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 15K times each, and 0.033% of those impressions turn into an interaction. That is about 2.57% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 21:00 UTC, and Thursday is the busiest day of the week. Of the 19 posts sampled, 42% carry an image or video and 53% link out. The account's strongest tracked post pulled 1.5K interactions, about 307x its own typical post. Recurring topics include #nba, #ontheball, #pacificrims.
Measured over 19 original posts from a 30-day window, last computed on October 9, 2026. Recurring tags: #nba, #ontheball, #pacificrims.
Compared with accounts its own size
Ric Bucher's engagement rate beats 10% of the tracked X accounts closest to it in follower count (19,932 accounts, accounts of similar size (decile 10 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 2% 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 0.001%, Ric Bucher sits below the 10th percentile of the 200,870 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.141% |
| 75th percentile | 0.671% |
| 90th percentile | 2.53% |
| 99th percentile | 82.4% |
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 21:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 42% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 53% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 42% 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.
- 53% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 235 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
- Aug 18, 2026307x their median
The narrative of transgender athletes 'descending' upon women's sports is inflated. In the NCAA, only 10 out of over 550,000 athletes identify as transgender. Misogyny poses a far greater threat than a few individuals defining their gender identity. #WNBA #TransAthletes #Sports https://t.co/iLRNYWdLpI
- Sep 28, 2026193x their median
Mike's dominance was visceral, LeBron's analytical. Jordan believed he needed himself; LeBron seeks all possible help. Apples and oranges when comparing their paths to greatness. #NBA #MichaelJordan #LeBronJames https://t.co/LXRb1EaWrf
- Jul 14, 2026106x their median
Brunson bet $113M on himself, defying Knicks history. The NBA system forces great players to take less than they're worth to improve team wins. His decision paid off, and his ambition will be remembered by fans everywhere. #NBADefies #PlayerPower https://t.co/5rVvn9oTx9
- Apr 24, 202656x their median
New episodes drop every week - Tune in now🎙️ https://t.co/ShUn4cuuzK
- Jul 22, 202650x their median
Rich Paul presenting LeBron's best team fits on a podcast signals a shift in leverage. It's not about lack of interest, but adjusting to a new reality. Fans cling to a mythologized version of LeBron, lashing out when reality hits. #LeBronJames #NBA https://t.co/C0jKeiqUBw
- Jul 28, 202648x their median
Jonathan Kuminga has the physical tools to be a superior defender and a more dynamic offensive player than Lou Dort. Yet, he was let go, and Dort was acquired. That should be a wake-up call for JK. #NBADraft #PlayerDevelopment https://t.co/849EHFIPJB
- Jul 30, 202621x their median
Embiid's playoff defense was surprisingly poor, with a high blow-by rate and lack of rim protection. Pairing him with LeBron raises concerns about defensive consistency and hustle, especially with multiple high-usage players demanding the ball. #NBA #BasketballAnalysis https://t.co/yC9gJmMoNE
- Sep 4, 202620x their median
Ennis is exploiting an NBA blind spot. A conversation revealed why he's targeting the WNBA: he feels the NBA prematurely ended his career by blackballing him for his comments on their China dealings. #NBANews #SportsBusiness https://t.co/uYTZNclLPs
- Jul 13, 202612x their median
Sports are losing their soul to AI and replays. We chase perfect accuracy, forgetting the human element captivates us. Overanalyzing incidents with slow-mo and snapshots isn't justice; it's the opposite. #WorldCup https://t.co/XMD85pRm5u
- Aug 2, 20268.8x their median
Experimenting with free throw rules in the game disrespects its core principles. Instead of tinkering with fundamentals, let's cap instant replay reviews at 60 seconds. The integrity of the game should be the priority. #Basketball #GameChangers https://t.co/Cci2CepqAH
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
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 5 interactions against 594K followers, an engagement rate of 0.001%. Measured over 19 original posts, its engagement rate beats 10% of 19,932 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 15K times each, and 0.033% of those impressions turn into an interaction. That is about 2.57% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 21:00 UTC, and Thursday is the busiest day of the week. Of the 19 posts sampled, 42% carry an image or video and 53% link out. The account's strongest tracked post pulled 1.5K interactions, about 307x its own typical post. Recurring topics include #nba, #ontheball, #pacificrims.
- What is Ric Bucher's engagement rate on X?
- Ric Bucher (@RicBucher) has an engagement rate of 0.001%, based on the median interactions across 19 original posts from the last 30 days against 594,218 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, Ric Bucher sits below the 10th percentile of the 200,870 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 @RicBucher have real engagement?
- Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (19,932 accounts), which puts it in the bottom quarter for its size 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 @RicBucher post?
- Most posts go out around 21:00 UTC, and Thursday is its busiest day, at roughly 0.83 posts per day across the measured window.