SCOUT
LEVEL TRANSLATION
What happened to those who already made that jump. Not a coefficient: real players, counted.
Descriptive. These are the medians of those who already made the jump — never a forecast about any individual.
What happened to them
3 · publishable routes
NCAA Division I → G League
ncaa → gleague
655
measured jumps
432
players
86 %
Still playing the following year
Minutes per game+0.7 min
Points per 40+20 %
Assists per 40+36 %
Rebounds per 40+8 %
Efficiency (TS%)+2.9 pp
2015-2026hard identity 100 %evidence grade A
NCAA Division I → NBA
ncaa → nba
510
measured jumps
372
players
40 %
Still playing the following year
Minutes per game-11.5 min
Points per 40-15 %
Assists per 40+8 %
Rebounds per 40-12 %
Efficiency (TS%)-3 pp
2015-2025hard identity 100 %evidence grade A
NCAA Division I → EuroLeague
ncaa → euroliga
62
measured jumps
48
players
76 %
Still playing the following year
Minutes per game-9 min
Points per 40+12 %
Assists per 40+15 %
Rebounds per 40-18 %
Efficiency (TS%)+1.9 pp
2015-2025hard identity 100 %evidence grade A
Routes we do NOT publish
A pair is graded on sample, period and identity quality — and the worst of the three rules. These do not make it, and we say so.
primerafeb → acb
Primera FEB → ACB is the jump that matters most to the Spanish market and has ample sample (58 jumps, 29 players). It stays out because its hard identity is 0 %: its matches are resolved by name. What is missing is not data, it is the identity bridge.
Method: person_id · ≥300 min · ≥8 games · ≥60 measured jumps · ≥80 % hard identity · Measured on 2026-08-27