College Football Nerds engagement report
@CFBNerds - 57K followers on X
Measured over 29 original posts from a 30-day window, last computed on October 7, 2026.
Engagement
A typical post picks up 344 interactions against 57K followers, an engagement rate of 0.609%. Measured over 29 original posts, its engagement rate beats 77% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 29K times each, and 1.20% of those impressions turn into an interaction. That is about 50.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 13:00 UTC, and Saturday is the busiest day of the week. Of the 29 posts sampled, 48% carry an image or video, 24% are part of a thread and 7% link out. The account's strongest tracked post pulled 2.5K interactions, about 7.4x its own typical post.
Measured over 29 original posts from a 30-day window, last computed on October 7, 2026. Recurring tag: #bamavsmissst.
Compared with accounts its own size
College Football Nerds's engagement rate beats 77% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 5 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 41% 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 0.609%, College Football Nerds sits above the 50th percentile of the 213,472 accounts in this comparison. That places it in the above the median band, which runs 0.147% to 0.699%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.147% |
| 75th percentile | 0.699% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 13:00 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.
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 | 48% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 7% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 48% 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.
- 7% 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 294 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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
- Oct 5, 20267.4x their median
We do it each week, MY Sunday SEC takeaways... ALABAMA: Handled their business. Set tone early on ground with run game & TE involvement. 40, 88 & 9 great again. OL strained in run game. Had some let downs in pass pro. 4 good in pass pro. Quick game early helped set things up down the field. They won the LOS. 13 personal package was nice. 17 & 13 ran well, good feel. QB just seems to be getting more & more comfy. Good leaving pocket. OL struggled with some hat placement in run game. All around effort was good there. TEs add a ton. 87 was good. 9 helped in pass game. 4 good in protection. Big game for 7 at WR. Worked seam well. Ball security an issue early. Def showed up. Kept numbers out side & back. Didn't have to overcommit yo the box. 1 good up front, had pas rush wins. Took ball away, scored. 5 big pick 6 early. Coverage solid most of the day. 11 good as spy/delayed blitzer. Showed speed. 9 TFLs vs that group is strong. Did not let tempo dictate things. 90 good on interior. 14 made things happen up front. Took momentum early & did not look back.
- Sep 14, 20265.0x their median
Jireh Edwards was crazy active in his debut. Kane Wommack on Edwards back in August: “His blitz IQ and awareness is really high.” … yeah, I’d say that’s accurate. https://t.co/vqzV9FwIJN
- Sep 29, 20264.1x their median
The CFB Nerds model is back for 2026 (even if we're doing fewer shows). Top 25 below. A few things that stand out: - Alabama and Mississippi State are both top 5 - The model isn't buying Ole Miss (#41) - Texas Tech (#17) and Indiana (#19) are top 20, but not elite teams https://t.co/mtUC4Vvu03
- Sep 21, 20263.7x their median
Trinidad Chambliss looked like a future FIRST OVERALL PICK against LSU. One NFL scout reportedly believes Chambliss is “so good” that he could be the first QB off the board, despite his age. The Rebels QB might be Ole Miss’ best QB prospect since Eli Manning 😳🔥 https://t.co/3KTyckDve2
- Oct 6, 20262.9x their median
CFB Nerds top-25 rating update: Highlights: - Miami, Alabama, and Georgia are your Tier-1. There seem to be 6-7 clear national title contenders, all big brands, in more a return to historical norms. - Penn State (#18) has the #1 pass defense in the country and the #97 run defense. The model has them usually losing to NW but favors them vs USC. - Missouri (#10) has the same kind of split: #4 run defense, #85 pass defense. - Ole Miss is #9 in the AP and #38 here. There isn't a single stat where they jump off the page. - LSU (#8) has the #1 run defense and a top-10 pass defense, but the offense is mediocre. - Last week we said UMass at #11 would only change if they started struggling. They're #61 now. That's a no-priors model working the way it's supposed to. This is a power rating calculated without priors (only on-field 2026 data), not a resume ranking or poll.
- Sep 27, 20262.0x their median
Keelon Russell looks great, but his WRs are very very unjustifiably open. I honestly don’t know how much is Kamario Taylor and Russell being good and how much is South Carolina being bad. Cause they’re shockingly bad on the backend.
- Oct 3, 20261.9x their median
I believe that Alabama is the first team to score 45+ in their first 5 games since 2019 Oklahoma did it with Jalen Hurts. Alabama scored 45+ in their first 6 FBS games in 2018.
- Sep 13, 20261.9x their median
Same-Side Counter vs. Bear Front HUGE Block by the LT Goosby https://t.co/rF2oReUdUz
- Sep 19, 20261.8x their median
My current Top-10: 1) Georgia 2) Texas 3) Ohio State 4) Indiana 5) Notre Dame 6) Miami 7) LSU 8) Alabama 9) Texas A&M 10) Ole Miss I feel like we know a lot less than we think we do. I suspect 2-4 teams on this list will turn out to be imposters. Alabama may be a top-4 team imo
- Sep 21, 20261.6x their median
Mike Norvell today on Ashton Daniels' first pick against Alabama: "It was gonna be a touchdown. The nickel, the guy who picked the ball, busted the coverage... Ashton read it so good. It’s what we thought might happen, but crap happens sometimes." https://t.co/bRjfCanedT
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 344 interactions against 57K followers, an engagement rate of 0.609%. Measured over 29 original posts, its engagement rate beats 77% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 29K times each, and 1.20% of those impressions turn into an interaction. That is about 50.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 13:00 UTC, and Saturday is the busiest day of the week. Of the 29 posts sampled, 48% carry an image or video, 24% are part of a thread and 7% link out. The account's strongest tracked post pulled 2.5K interactions, about 7.4x its own typical post.
- What is College Football Nerds's engagement rate on X?
- College Football Nerds (@CFBNerds) has an engagement rate of 0.609%, based on the median interactions across 29 original posts from the last 30 days against 56,666 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.609%, College Football Nerds sits above the 50th percentile of the 213,472 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 @CFBNerds have real engagement?
- Its engagement rate beats 77% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the top 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 @CFBNerds post?
- Most posts go out around 13:00 UTC, and Saturday is its busiest day, at roughly 2.7 posts per day across the measured window.