Every February on signing day, and again every summer, college football fans argue about the same thing: whose recruiting class is best, and whether it will matter. The arguments lean on a number nearly everyone quotes and almost nobody can define — the star rating, and the 247Sports Composite rankings built on top of it. Let’s take the mystery out of both: what the stars mean, how a prospect gets one, how individual ratings become a team class ranking, and — the part that matters most — what any of it actually predicts.
The one-sentence version: recruiting rankings are opinions about teenagers, expressed on a shared scale, and in the aggregate they predict team success surprisingly well — while telling you almost nothing guaranteed about any single player.
What a star rating means
The major services rate high-school prospects on a scale that runs from roughly two stars to five stars. The shape of that scale is the first thing to understand, because it is steeply pyramidal:
- Five stars — a tiny handful per recruiting cycle, on the order of a few dozen names nationally. These are the consensus elite, the players services expect to be immediate-impact talents and eventual NFL prospects.
- Four stars — a few hundred prospects, the broad “blue-chip” tier alongside the five-stars.
- Three stars — the large middle of the rated population: solid scholarship players, many of whom develop into stars.
- Two stars — rated prospects below that, often lower-division or developmental signees.
The crucial point is scarcity. Because five-stars number only in the dozens, landing even one is a genuine event for a program, and the difference between a roster full of four- and five-stars and one built on three-stars is enormous in talent terms. That scarcity is exactly what makes the blue-chip ratio — the share of a roster that arrived as a four- or five-star — such a powerful filter.
How services actually rate a prospect
A star rating is not a measurement; it is a forecast. Analysts at each service combine two distinct judgments:
- Evaluation — what the player is now: film study, measurables (height, weight, speed), performance at camps and combines, and competition level. This is the scouting half.
- Projection — what the player is likely to become at the college level and beyond. Two recruits can look similar on film but project differently based on frame, position, and developmental ceiling.
Because evaluation and projection are both human judgments, services disagree. One outlet might see a four-star; another, a high three-star. That disagreement is not a bug — it is information — and resolving it is precisely the job of a composite.
The 247Sports Composite: a weighted average, on a points scale
The 247Sports Composite is the de facto industry standard because it doesn’t pick a side. It takes the ratings that multiple services assign to the same prospect and blends them into a single number using a weighted average, then maps that number onto a continuous points scale (a prospect rating expressed as a decimal, where the very best approach a perfect score). A star count is then assigned from where the prospect lands on that scale.
Two design choices make the Composite more useful than any single service’s list. First, by averaging across services it smooths out one analyst’s outlier opinion. Second, the underlying points scale is continuous: two four-stars are rarely equal, and the points let you rank them. That continuity is what makes the next step — turning individuals into a team ranking — possible.
How team class rankings reward quality AND quantity
Here is the single most misunderstood thing about recruiting rankings: a team’s class ranking is not a simple average of its signees’ ratings. If it were, a team could rank first by signing two five-stars and nobody else. Instead, the Composite team formula awards points for each commit and adds them up, with diminishing returns — so a class is rewarded for landing elite players and for filling out a full, deep class.
The intuition is a cumulative score with a curve. Conceptually it works like this:
| Class profile (hypothetical) | Commits | Made-up points |
|---|---|---|
| Few elite signees only | 8 | ~190 |
| Balanced strong class | 22 | ~290 |
| Large, mostly mid-tier class | 28 | ~250 |
The numbers above are invented to illustrate the shape, not real ratings. But the lesson is real: because each additional commit adds points (with the best players worth far more), the top of the team rankings is occupied by programs that sign both a cluster of blue-chips and a large overall haul. A tiny class of two five-stars will not out-rank a deep class of four-stars, even if its average rating is higher. This is also why a team can “jump” the rankings late simply by signing more players.
scripts/recruiting-rankings.py, which pulls the 247Sports Composite team rankings for the active cycle. Re-run it and drop the table in here with an “as of” date. (Per site policy, I’d rather show this note than invent rankings.)
What rankings actually predict
Now the payoff question. In the aggregate, recruiting rankings work: team-level talent correlates strongly with team-level success. The programs that consistently sign top-ranked classes are, year after year, overrepresented among national contenders. That is the whole premise behind the blue-chip ratio, and it is why our talent composite tutorial builds a roster-wide talent number to compare teams. Talent, measured this way, is a real and durable signal.
But the predictive power lives in the aggregate, and it comes with heavy caveats at the individual level:
- They are projections of teenagers. Plenty of three-stars become All-Americans; plenty of five-stars never start. Any single ranking is a probability, not a promise.
- Development and fit matter enormously. A coaching staff, scheme, and developmental track can turn a mid-rated class into production — or waste a blue-chip haul.
- The transfer portal changed the math. A high-school class ranking now captures only part of how a roster is built. Teams reload through the portal every offseason, so a program’s true incoming talent is high-school recruiting plus transfers — a point we dig into in the transfer portal, quantified.
- NIL reshapes recruiting itself. Name, image, and likeness money now influences where elite prospects sign, which can concentrate talent even further and scramble traditional recruiting territories.
How to read a recruiting ranking like an analyst
Treat star ratings as a distribution, not a verdict. A class ranked in the top ten means a program landed a lot of high-probability talent — that’s worth a great deal, and it sets the ceiling. But weigh it against development history, scheme fit, and, in the modern era, what the portal added or subtracted. The fan who says “rankings don’t matter” is wrong; so is the one who treats a five-star as a finished player. The truth is the useful middle: talent is the strongest single predictor we have, and it is still only a prediction.
Sources & further reading
- 247Sports — 247sports.com (Composite ratings and team class rankings)
- CollegeFootballData.com — collegefootballdata.com (recruiting and talent data; free API key)
- Related: The blue-chip ratio · Building a talent composite in Python · The transfer portal, quantified