Mike Hayde engagement report
@CoachMikeHayde - 95K followers on X
Measured over 46 original posts from a 30-day window, last computed on September 19, 2026.
Engagement
A typical post picks up 9 interactions against 95K followers, an engagement rate of 0.01%. Measured over 46 original posts, its engagement rate beats 17% of 19,933 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 3.0K times each, and 0.298% of those impressions turn into an interaction. That is about 3.19% 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 63% of days. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 46 posts sampled, 61% carry an image or video and 20% link out. The account's strongest tracked post pulled 3.8K interactions, about 419x its own typical post. Recurring topics include #bethereason, #hayderecruiting101, #collegefootball.
Measured over 46 original posts from a 30-day window, last computed on September 19, 2026. Recurring tags: #bethereason, #hayderecruiting101, #collegefootball.
Compared with accounts its own size
Mike Hayde's engagement rate beats 17% of the tracked X accounts closest to it in follower count (19,933 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 15% 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 0.01%, Mike Hayde sits above the 10th percentile of the 200,758 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 | 0.67% |
| 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 20:00 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 | 61% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 20% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 61% 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.
- 20% 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 236 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 17, 2026419x their median
Malcolm Mitchell caught six passes in a Super Bowl. He says he's prouder of learning to read. When he arrived at the University of Georgia as one of the top recruits in the country, he could only read at about a junior high level. He'd grown up in Valdosta, Georgia, in what he calls an under-resourced community, where the idea that education could take you somewhere felt far-fetched. Sports was the only path anybody talked about. Then he got to campus and realized he'd been wrong about that. In 2013 he tore his ACL and missed almost the entire season. Stuck and looking for something to do, he started reading. His words: "I've always searched for ways to be creative. And when I got injured in 2013, reading picked up." He worked his way through children's books. The Very Hungry Caterpillar. The Giving Tree. He was a Division I wide receiver in a Barnes and Noble in Athens, Georgia, teaching himself with picture books. And then he did something most 20 year old athletes would never do. He walked up to a stranger near the bestseller rack and asked for a recommendation. Her name was Kathy Rackley. She was picking up the next book for her book club. She had no idea he played football. They started talking, and she mentioned the club. Mitchell had been looking for one to join, so he asked if she'd put in a word for him. Her response, in her own telling: "I don't know if you want to join ours. We're all 40, 50, 60 year old women." His response: "I don't care. I just like to read." He thought they'd say no. Instead they took him in completely. His words about it: "I've been adopted into their family." A star SEC wide receiver spent his junior year of college in a suburban book club full of middle-aged women in Athens, Georgia, working through the same novels they were. And then he started going to elementary schools to read with kids. That became Read With Malcolm, which became the Share the Magic Foundation, dedicated to getting print books into the hands of children and building their reading skills. In 2015, while still in college, he wrote and self-published a children's book called The Magician's Hat, about a magician whose power comes from books. His reaction to that: "Being a published author never crossed my mind." The Patriots drafted him in the fourth round in 2016. He caught 32 passes as a rookie, then six more in Super Bowl LI, the game New England came back from 28-3 to beat Atlanta. That same year he was named Georgia's Children's Author of the Year, and Scholastic gave him a three book deal. Knee injuries ended his NFL career in 2019. He was 25. It didn't slow the other thing down at all. He's a full-time literacy advocate now, writing children's books and speaking to educators and kids across the country. And he has said it plainly, more than once. He is more proud of learning to read than he is of winning a Super Bowl. For more stories like this, follow us on any platform @thesportsontap
- Aug 10, 2026360x their median
NEW: Florida has dropped retro uniforms with a blue helmet in honor of Steve Spurrierβs 1966 Heisman seasonπ (via @GatorsFB) https://t.co/1uBXhOzQGa
- Aug 8, 2026343x their median
.@adamvinatieri officially receives his @ProFootballHOF gold jacket π https://t.co/CQfNxcoARc
- Sep 18, 2026260x their median
This locker room is straight bunsπ https://t.co/3jOkUUBiT6
- Sep 16, 202677x their median
We knew there was a gap between Big Ten/SEC roster spending and ACC/Big 12 roster spending. But one thing I found interesting in our reporting is how big a gap there is within the Big Ten and SEC. Every P4 school's estimated roster budget. Gift link. https://t.co/JObx6x7VaI
- Sep 6, 202670x their median
To Our Student Athletes, Coaches, Athletics Administrators, and Supporters of Edward Waters University Athletics: First, to the young men who took the field Saturday afternoon at Jackson State: I am proud of you. You fought. You did not quit. Down after down, in a setting built to overwhelm a visiting team, you kept competing. That resolve reflects what our coaches and athletics leadership have built here, and I saw it clearly. It was not the outcome we wanted. Congratulations to Coach T.C. Taylor and the Jackson State program, who were the better team on Saturday and who have built something their university and their community should be proud of. We also know we can play much better, and that is ours to correct together. That said, and secondly, I owe you an apology, because the position we placed you in Saturday was not your doing and it was not your coaches'. That game went on our schedule two years ago and I enthusiastically supported it. The decision was mine, and I own it. Going forward, Edward Waters University will not schedule Division I opposition in football except on terms this institution sets and that materially and substantially advance our program goals. I want you and our supporters to understand exactly why. The economics do not work. We were paid a $65,000 guarantee, which covered none of our costs. Travel and related expenses ran roughly $30,000 to $35,000, so we cleared about $30,000. That does not begin to justify what such a game asks of a team, a coaching staff, and a program. The competitive terms are not commensurate ones. When we put 29 funded scholarships on the field against an FCS limit of 63, we are not being measured. We are being mismeasured. NCAA Division II caps us at 36. Our opponents are permitted nearly twice that before the first recruit signs. That figure of 29 also places us in the top quarter of the SIAC, and as a private institution the total dollar investment behind each of our equivalencies exceeds what even many of our public conference peers commit to the same count. We are not underinvesting in this program. We were competing against a structure, not simply a team. That result then follows our coaches into living rooms during recruiting season, where a young man decides he would rather sit on a bench at a Division I institution than compete and start here, because he has been shown a scoreboard telling him one product is superior to the other. It is not superior. It is different. Superior and different are not synonyms, and I will not keep handing anyone evidence drawn from a comparison that was never commensurate to begin with. Consider what HBCU Division I programs collect when they accept the same treatment they ask us to accept. This season, per reported contracts: Florida A&M receives $740,000 at Miami; Morgan State receives $600,000 at Arizona State; Tennessee State received $600,000 at Georgia; Arkansas Pine Bluff receives $550,000 at Missouri; Howard receives roughly $1,000,000 across games at Indiana and Rutgers; Another HBCU program was paid $1,000,000 to play at Ohio State last season and lost 70 to 0. Taken together, HBCU football programs will take in close to $7,000,000 from these games in 2026. Tennessee State is the clearest illustration. That is a very capable FCS program which lost to this same Jackson State team by two points the week before, and it was beaten 63 to 3 by my alma mater, the University of Georgia, on Saturday. The result says nothing about Tennessee State. It says everything about what happens when a program plays division(s) above itself. The difference is that Tennessee State went home with $600,000 and can convert it into something materially significant for its program. That is a defensible trade. Ours was not. I want to be clear that no one dealt with us unfairly. JSU and our sister HBCU institutions negotiated what was right for their programs, and we accepted terms we believed at the time were right for ours.
- Aug 14, 202635x their median
Stillman College is bringing back Tiger football after overcoming the financial challenge that forced its 2015 shutdown https://t.co/lAua9uWkJz
- Sep 16, 202631x their median
NEW: Florida's 2026 football roster budget ranked No. 15 nationally and 7th in the SEC β and the Gators are outspending Georgia, Auburn, Oklahoma and Florida State, per The Athleticπ Details: https://t.co/WHwx1v3WBx https://t.co/LwP01E7XIa
- Sep 10, 202625x their median
2026 HBCU Football Payoffs from FBS games https://t.co/2gkLfEqTb5
- Sep 5, 202620x their median
ππ‘π βπππ’π π‘ππ¨π«π¬β ππ‘ππ πππ ππ‘π πππ’π π‘ππ¨π«π‘π¨π¨π! π€£ππΎ Clark Atlanta handles business for the THIRD year in a row, taking down the Maroon Tigers in the 2026 ATL Labor Day Classic! #GoPanthersπΎ | #WeAreCAU https://t.co/ucECYaE10F
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 9 interactions against 95K followers, an engagement rate of 0.01%. Measured over 46 original posts, its engagement rate beats 17% of 19,933 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 3.0K times each, and 0.298% of those impressions turn into an interaction. That is about 3.19% 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 63% of days. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 46 posts sampled, 61% carry an image or video and 20% link out. The account's strongest tracked post pulled 3.8K interactions, about 419x its own typical post. Recurring topics include #bethereason, #hayderecruiting101, #collegefootball.
- What is Mike Hayde's engagement rate on X?
- Mike Hayde (@CoachMikeHayde) has an engagement rate of 0.01%, based on the median interactions across 46 original posts from the last 30 days against 94,723 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.01%, Mike Hayde sits above the 10th percentile of the 200,758 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 @CoachMikeHayde have real engagement?
- Its engagement rate beats 17% of the tracked X accounts closest to it in follower count (19,933 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 @CoachMikeHayde post?
- Most posts go out around 20:00 UTC, and Thursday is its busiest day, at roughly 2.73 posts per day across the measured window.