For years, I was openly skeptical of international players making the jump to college basketball, and had written about it on here. The track record was mixed, elite prospects were rare, and most classes lacked the physical maturity or statistical proof to justify major expectations.
Over the summer, I built my first-ever statistical translation model to equate international professional production to college-level output. The goal was simple: compare new international additions on equal footing with returning college players and transfers inside my system. The pushback was immediate. Some didn’t like the rankings. Others questioned how professional stats could translate. A few insisted certain internationals were ranked too high. It’s early and maybe they will be, but lets take a look at the early returns.
Now, with the season underway, the early results are validating the model—and the shift in how international talent reaches college basketball.
Everyone talks about the freshman class this year, but the international class is crushing it as well. These are the players that were in the top 250 in our model in the preseason from their Euro pro stat translations and how they are currently preforming
Looking back, Andrej Kostic shouldn’t have been included where he was. I missed that he had such a small sample size—only six games and 51 total minutes—which should have filtered him out and forced his lower-division numbers to be used instead. Outside of that oversight, though, this was the only real miss in the group.
Even the players others were hyping—like Omer Mayer, (3.5 Pts, 1.5 Reb, 1.5 Ast, 2.6 PER) who CBS kept mentioning nationally in the preseason—were graded much lower in my model. Mayer translated to just a 1.7 rating and ranked 794th. And so far, players like him and Paul Mbiya are performing exactly the way their stats suggested, not the way the preseason perception painted them.
A New Era of International College Players
For the first time, real NIL money reshaped the international market. High-major programs went out and signed players who weren’t fringe teenagers or long-term projects—they were productive professionals, often playing in leagues stacked with former NBA players and high-level NCAA alumni.
This wasn’t the old model of taking a flyer on a 19-year-old averaging 4 points in a secondary league. We were looking at players:
Putting up efficient double-digit scoring nights
Logging minutes against pro athletes in their primes
Competing in top-tier leagues like the ACB, G-BBL, ABA Liga, and Lega A
Some sharing the floor with six or more former NBA players on any given night
When I dug into the numbers, the performances stood out immediately. This class was a different caliber of international recruit, and the model reflected that.
Why The Model Ranked Players Higher Than Critics Expected
Take a player like Sananda Fru —whose ranking sparked some of the loudest pushback.
He posted:
72% True Shooting
137 Offensive Rating
High usage
12.4 PPG in 26.4 MPG
In the German BBL, one of the best leagues in the world
For comparison, Carson Edwards, at age 27—in his physical prime—averaged:
14.8 PPG in 24 minutes
54% TS
In the same league
And everyone remembers what Carson Edwards did at Purdue, he averaged 24.3 points per game at a much younger and likely less advanced age.
So if Edwards, at full maturity, produced less efficiently than Fru, why wouldn’t the model grade Fru as a high-level college impact player?
The same logic applied elsewhere. Several players entered college basketball fresh off 18.0 PER seasons in the ACB—the best domestic league in the World outside the EuroLeague and NBA. Yet some fans insisted a Patriot League guard with a similar 18 PER against one of the softest schedules in the country should be rated higher than Mario Saint-Supery.
It never made sense. The context always mattered.
What This Means for College Basketball Recruiting
The takeaway is simple:
High-major programs are beginning to treat international recruiting the way the NBA does—seriously.
With NIL money in play, teams can now bring over age-22 year old pros with:
Real resumes
High-level competition history
Efficiency that translates
Physical maturity college kids rarely have
This is exactly why the model projected these players so highly—and why the early results show the system works.
When you build something for the first time—especially a translation model—criticism is inevitable. But there’s nothing more satisfying than seeing the actual games validate the numbers. The toughest part of the process was converting the international leagues into reliable, comparable values so they could be integrated into the model. I used AI as a tool to assist with that framework, with plenty of manual spot-checking and my own research layered on top. And so far, the results suggest the approach is working.
The international class was undervalued publicly with some of these national ranking systems ranking even the top guys 600+, but the data never lied. With the way this year’s internationals have already impacted their teams, it’s clear that college basketball’s talent landscape is changing fast.
This year wasn’t a fluke—it was the beginning of a trend if the money stays steady. And we’ll keep refining the model as international if internationals remain a part of the sport.
