SwimSwam's 2028 Recruiting Database: Anne Lepesant and the Data Race in American High School Swimming

SWIMSWAM'S 2028 RECRUITING DATABASE: ANNE LEPESANT AND THE DATA RACE IN AMERICAN HIGH SCHOOL SWIMMING

1. INTRODUCTION: ONE LINE OF NUMBERS, ONE FAMILY, AND A MIDNIGHT CLICK

There is a moment that anyone who has worked in swimming knows well: you sit in front of a screen at midnight, look at a newly updated line of times, and understand that behind that number is a family holding its breath. I remember a night in late April 2026, when the pandemic closed pools and competitions were postponed indefinitely. With no live events, I rewatched old matches to keep my skills sharp, and I suddenly discovered a streak of twelve unbeaten games tied to a specific position at the center of the kickoff circle. The pandemic taught me that the silence of the stands is also a symphony. And in that stillness I learned something: data is not only for measuring, but for telling stories.

This summer, when SwimSwam published its Recruiting Database for the Class of 2028, I saw the same thing inside a media product. It carries an extra layer of meaning beyond a simple record board. It is the place where thousands of fifteen- and sixteen-year-olds become data for the first time, and also the place where college coaches learn to read human beings through numbers.

A 0-0 match has 47 details, if you are calm enough to see them. A recruiting database is no different. On the surface it is a table of names, a column of times, a list of universities. But beneath that surface lie thousands of stories: a personal best that arrives on exactly the right day, a shoulder injury that sets back an entire season, a verbal commitment posted at 11 p.m. after four months of negotiation. Every line in the database is a question, and I am someone who loves finding answers.

1. CONTEXT: SWIMSWAM, ANNE LEPESANT, AND THE ECOSYSTEM OF AMERICAN COLLEGE SWIMMING RECRUITING

To understand why a database is a newsworthy event, we need to place it inside the ecosystem in which it lives. College swimming in the United States operates on a logic of its own, quite different from the international swimming we usually follow through the Olympics or world championships. At the international level, athletes compete for a country, for a flag, for a record. At the American college level, athletes compete for a school, for a scholarship, for a spot on a roster with limited places.

SwimSwam is one of the most widely read specialist swimming media outlets in this community. Notably, SwimSwam does not only report; it also builds an entire data infrastructure. Recruiting databases organized by graduation class are part of that infrastructure. The Class of 2028 means the group of high school students who will leave secondary school in the summer of 2028 and officially enter university in the fall of the same year, provided they stay on their academic track.

The article we are analyzing has a simple title: 2028 Recruiting Database. It is a product introduction. It describes a product created by Anne Lepesant. In the world of American college swimming, Anne Lepesant is widely recognized as a principal figure at SwimSwam. This is a methodologically important detail: when a media outlet both reports and sells a product, a product introduction carries two functions at once. One is to describe the product truthfully. The other is to promote it. Careful readers need to distinguish these two layers.

In essence, the logic of American college swimming recruiting runs as follows. A high school student with strong swimming results begins to attract the attention of college coaches early. Under NCAA rules, schools have specific timelines about when they may make contact, when they may invite a visit, and when they may offer a scholarship. Before those milestones, most of the process is indirect: coaches follow public competition results, while families search for information about programs, rosters, and scholarship levels. In that information gap, a recruiting database becomes essential infrastructure.

From the perspective of a working commentator, this is exactly how football data works. I do not measure Mbappe's speed with radar; I measure it by the fear of defenders. But that fear also leaves data traces: distance covered, successful dribbles, the gap between defender and forward at the decisive moment. A swimming recruiting database does essentially the same thing: it records the traces of the decisive moments in a young athlete's career.

1. WHAT THE CLASS OF 2028 MEANS: THE TIMELINE OF A GENERATION

The first thing to clarify is timing. When we say "Class of 2028," we are not directly talking about the 2028 Olympics in Los Angeles, though these two timelines intersect at an interesting point. We are talking about a generation of athletes who will turn eighteen exactly in the year of the 2028 Summer Olympics.

Picture the timeline. An athlete in the Class of 2028 is currently in middle school or the early years of high school. They begin to be noticed by recruiters at national youth competitions. The tracking process lasts for years, with important competition milestones: regional youth championships, national age-group championships, recruiting meets. At each milestone, their times are updated, compared with peers, and ranked.

In swimming, the window from fifteen to eighteen is a period of intense physical development. Height increases, arm span lengthens, muscle strength changes, technique is refined. An athlete can improve times significantly within a single season, sometimes due to natural maturation rather than a change in training. This poses a core challenge for any recruiting database: how to distinguish a sustainable leap from a temporary peak.

This is why I believe the true value of a database lies not in listing the fastest times, but in tracking trends over time. An athlete who swims the 100-meter freestyle in 52 seconds at fifteen and 51 seconds at seventeen tells a very different story from one who swims 54 seconds at fifteen and 50 seconds at seventeen. Same destination, two completely different trajectories. The first may have peaked early; the second is accelerating. A good college coach can read this. A good database must allow this to be read.

In other words, the Class of 2028 is not a static list. It is a film still playing, and the database is the diary recording every important frame of that film.

1. INSIDE THE DATABASE: WHICH DATA, WHY, AND FOR WHOM

In terms of content, a typical swimming recruiting database revolves around several main data axes. The first is identity: the athlete's name, graduation year, club, and current high school. The second is performance: primary events and best times in each event, along with the context of each performance (which meet, at what point in time). The third is recruiting status: whether the athlete has committed, to which school, and which schools are still in consideration.

The way data is organized reflects the needs of users. For an athlete's family, the database is a positioning tool: where does my child stand compared with peers, which targets are realistic, which schools need the events my child is strong in. For college coaches, the database is a screening tool: filter a list of a few dozen names from thousands, based on times and fit. For the media, the database is storytelling material: who is accelerating, who just changed their mind, which school is building a formidable roster.

The subtle point is that each of these user groups needs a slightly different version of the truth. Families need truth with orientation. Coaches need truth with classification. Media need truth with narrative. A successful database serves all three without fragmenting into three separate products.

I have seen the power of organizing data this way in another field. When following track and field, I realized that the value of a results table lies not in the record number, but in the ability to place that number in context. A 45.94-second run in the men's 400-meter hurdles is a historic moment, but to understand why it is historic, you need to know about stride patterns between hurdles, about energy distribution, about competition conditions. Data without context is mute data. Data with context is data that can speak.

This is the standard I set for any sports database, including a swimming recruiting database. If it only provides times, it is a directory. If it provides times with trajectory, with context, with story, it is a storyteller.

1. TRANSFERS, COMMITMENTS, AND THE TRANSFER PORTAL: THREE WAVES RESHAPING RECRUITING

One cannot analyze a recruiting database without addressing three waves reshaping the entire ecosystem: early commitments, Name, Image, and Likeness (NIL), and the transfer portal.

The first wave is the culture of early commitment. In swimming, as in many other American college sports, young athletes are committing earlier and earlier. A verbal commitment is not a legally binding contract, but it carries enormous social weight. When a fifteen-year-old announces a commitment to a university, it is both a joy and a pressure. A joy because the search process has closed. A pressure because expectations have been placed on their shoulders, and the gap between commitment and actual enrollment can stretch three years.

Recruiting databases both reflect and drive this wave. When early commitment becomes the norm, the pressure to commit early grows further. The more people commit early, the more status-type data the database has to display. A self-reinforcing cycle.

The second wave is NIL. Name, Image, and Likeness allows college athletes to earn money from their name, image, and fame. This fundamentally changes the motivation for choosing a school. A school with a large media market, a big fan community, and a strong alumni network can offer more attractive commercial opportunities. In swimming, the impact of NIL is smaller than in American football or basketball, but it exists and is growing. Top swimming stars can still become brand faces, especially in Olympic years.

The third wave is the transfer portal. An athlete who has committed, enrolled, and competed for a year or two can still decide to transfer. The transfer portal forces the recruiting database to be a living document rather than a sealed file. A data line today can change status next week. This both increases the value of the database and increases its updating responsibility.

These three waves intersect to create a new reality. Young athletes increasingly become subjects of major decisions early: choosing a school, choosing a program, choosing a personal brand. And the recruiting database is where those decisions are recorded, compared, and retold. From the stadium to the esports arena, I find the same heartbeat. Here too, that heartbeat pulses in every data update.

1. THE COUNTERINTUITIVE ANGLE: WHEN AN ARTICLE IS A PRODUCT

At this point, I want to turn onto the hardest road of any media analysis: the duality of the source.

The article about the 2028 Recruiting Database sits at the intersection of journalism and business. It describes a product created by the very media outlet in question. The writer, Anne Lepesant, is a principal figure at SwimSwam. This does not make the article false or dishonest. But it sets a reading requirement: readers need to be aware that they are reading a text that is simultaneously informational and promotional.

There is a subtle temptation in this kind of text: it tells you about the existence of a data source, but rarely says everything about that source's limitations. Who verifies the numbers? How often are updates made? What happens if a time is entered incorrectly? Do athletes and families have the right to request correction or deletion of personal information? These are questions any data product about minors needs to answer transparently.

I think of the principle I set for myself after my debut stumble at a stadium in Toyota. The stumble in Toyota was not an endpoint, but the starting line of a different way of telling stories. I mispronounced a player's name three times, and the price I paid was a month of reviewing footage, a long analytical piece, and the lesson that data must be verified across three sources before publication. For a public database about children, this principle must be even stricter.

Look from the other side of the mirror. The strength of a centralized database is that it creates clarity in a market that was previously chaotic. Before databases like this, information about swimming recruiting largely traveled by word of mouth: rumors, sharing within coaching groups, personal recommendations. Clarity is always better than rumor. But clarity also has a price, and that price is privacy.

There is a core contradiction that is rarely discussed. Swimming is a sport in which competition results are already public information. When a young athlete swims at a national meet, their times become public data by the very nature of the event. In this argument, a recruiting database merely aggregates what is already public. Aggregation is not intrusion, but systematization. On the other hand, aggregating many pieces of public information together can create a detailed portrait of a person not yet of adult age, and that portrait is then used for commercial purposes. This is the blurred boundary that every youth sports data product must face.

I do not have a definitive answer to this contradiction. But I believe a responsible database is one that dares to state clearly what it does not do. It must state clearly: we do not rank an overall order based on a single number; we do not predict which athlete will succeed; we only record competition traces and recruiting status. That modesty is what makes data trustworthy.

1. A CROSS-DISCIPLINE LESSON: SWIMMING IS NO EXCEPTION

As someone who observes many sports professionally, I always try to place every phenomenon in a broader picture. And a swimming recruiting database is not a strange exception; it is an expression of a larger trend: the digitization of recruiting across all American college sports.

In American college football, recruiting ranking services have become primary infrastructure. A few ratings, a few star levels, can determine how much scholarship a high school athlete receives. In basketball, similar rankings operate with even greater force. In track and field, results tables and age-group rankings also exist.

Swimming carries an inherent data advantage over team sports: its results are the most objective of all. A swim time is an absolute number, independent of teammates, independent of opponents, independent of playing style. A football player is evaluated through countless subjective variables: how they decide in the moment, how their contributions go unseen, how well they understand tactics. A swimmer, at the moment of touching the wall, leaves behind a number that cannot be disputed.

This makes swimming an ideal sport for digitized recruiting. But this very fact creates a trap. Because numbers are easy to trust, people easily forget that those numbers are produced under very different conditions: long course versus short course, morning swims versus evening swims, swimming live versus swimming through heats. Ignoring context, a data table can lead readers to compare things that cannot be compared.

I see here a thread connecting to my own professional experience. When I reported on a 37 km/h speed in a big match, I always reminded readers that this speed does not exist in a vacuum. It exists in a specific match, against a specific defender, in a specific physical state. Remove the match from the number and the number becomes a ghost number. The media frenzy fades, but that burst of speed remains in the bloodstream, because it is remembered as a complete moment, not as a dry data table.

In swimming, the trap is even more subtle, because there is a variable that numbers can never capture: unfinished physical development. A fourteen-year-old girl swimming the 100-meter butterfly in an impressive time may be at a different developmental stage from a seventeen-year-old swimming the same time. Same number, two biological stages, two completely different future forecasts. Any recruiting database that does not note this is hiding one of the most important parts of the truth.

1. WHY SMALL DETAILS MATTER MORE THAN THE BIG TABLE

In my profession, there is one thing I always remind myself: do not let the big table hide the small detail. A recruiting ranking table may look like it contains only numbers and ranks. But if you are patient enough, you will see small details that tell a much larger story.

Imagine a line in the database listing an athlete with three primary events, where the times for the strongest event are filled in while the weakest event is left blank. What does that detail say? It says this athlete is a specialist in one event but has not yet developed the others. In swimming, versatility has great value, because college team competitions demand flexibility. An athlete strong in only one event is a narrow piece; an athlete strong in three or four events is a tactical piece. That small detail can be the key to a recruiting decision.

Or imagine two athletes with the same best time, but one achieved it at a big meet while the other achieved it at a small, low-pressure competition. The same number, but different mental qualities. An experienced college coach can read this. And a good database should make that reading possible, by noting competition context alongside the number.

In football, a seemingly boring 0-0 match still has dozens of significant details for those calm enough to see them: the foot placement of a defender, the gaze direction of a goalkeeper, the gap between two lines when the home team loses the ball. With a recruiting database, the same applies. The stillness of a data page is full of details, if the reader is patient enough to observe.

This is the standard I apply when evaluating any sports media product. A good product does not replace the reader. A good product gives the reader tools to read more deeply. And in the context of swimming recruiting, the deepest tool is the contextual notes alongside the numbers.

1. THE AUDIENCE AND THE RESPONSIBILITY OF STORYTELLING

There is a question I always ask myself before writing anything: who am I writing for? With a recruiting database, this question matters even more because the readership is very diverse.

The first reader is a family with a child in the recruiting process. They need information that is orienting, non-judgmental, non-alarming. They are living through one of the most stressful periods of their child's youth, and the way data is presented can ease or worsen that stress.

The second reader is a general swimming fan. They want to know what is interesting about the next generation, who is emerging, which schools are building strong rosters. For them, the database is a window into the future of the sport.

The third reader is the young athletes themselves. This is the most sensitive readership. They may read about themselves, compare themselves with others, and evaluate themselves through a data table incapable of empathy. I believe this is the greatest responsibility of anyone producing youth sports data: to write in a way that lets a fifteen-year-old read about themselves without feeling like just a number.

I do not write to conclude; I write to open small doors in your mind. With a recruiting database, this criterion holds even more. The goal is not to lock in a final ranking, but to open up different ways of seeing a generation growing up under the light of data.

1. A PROGRESSIVE REFLECTION: THE FUTURE OF RECRUITING DATA

So what comes next for swimming recruiting databases?

I believe the inevitable direction is personalization. Instead of one table for everyone, platforms will move toward giving each user a perspective suited to their needs: families see suitable opportunities, coaches see potential candidates, fans see stories worth following.

The second direction is transparency. As data about minors becomes increasingly digitized, pressure to explain methodology, to grant correction rights, and to limit commercial use will grow. Databases that are not transparent will lose trust.

The third direction is integration. Recruiting data will no longer stand alone, but connect with live competition data, media data, and personal brand data. A young athlete will have a digital profile updated continuously, throughout their journey from high school to college.

In all three directions, what interests me most is still the human being behind the number. A recruiting database can tell us who swims fastest in the Class of 2028. But it cannot tell us who will be the most resilient in the face of failure, who will inspire teammates on a tiring morning of training, who will keep swimming for a lifetime out of love for the water.

And perhaps that is the remaining work of storytellers like me: to read the data, but not let the data read in place of the person. SwimSwam's 2028 Recruiting Database, built by Anne Lepesant, is a tool. It is not a verdict on a generation. It is an open diary, waiting for readers calm enough to see the small details it preserves.