Draft value is real. Provable draft skill is rare.
Every June, thirty front offices spend first-round picks like they know
something. Do any of them? This analysis prices every pick slot from the
careers that actually followed, then asks which franchises and which
colleges beat that price. The sample is every draft class from 1989 through
2015: each one with ten full NBA seasons to accumulate a career, scored in
career Win Shares against a slot expectation fit isotonically over picks
1-60. No buckets, no functional form, and every table is produced twice, in
Python and R, and reconciled to numeric tolerance before a word is written.
The companion interactive viewer
holds every lottery and full draft board since 1989.
The slot gradient
77 → 2
Expected career Win Shares at pick 1 versus pick 60.
Best drafting franchise
+489 WS
Oklahoma City, above slot expectation across 69 picks.
Intervals crossing zero
27 of 30
Most of the league is statistically indistinguishable on drafting skill.
Wake Forest hit rate
70%
7 of 10 draftees became 10,000-minute NBA players.
The yardstick
A pick slot is a price
The whole analysis runs on one idea: price the slot, then score each pick
against its price. The diagram shows the steps and where each result below
comes from.
How the analysis works. Each slot gets a price from the careers that followed it, each pick is scored as its career minus that price, and the scores roll up into the franchise, college, and steal rankings that follow.
Before anyone gets credit for drafting well, the draft itself has to be
priced. The expectation curve below is a weighted isotonic fit of career
Win Shares over picks 1-60: pick 1 carries an expectation of 77 career Win
Shares, pick 60 carries 2. Everything that follows is measured against this
curve. A player's value is not his career; it is his career minus what his
slot was already worth.
The slot expectation curve. The gradient is steep at the top and nearly flat by the second round, which is why late steals are possible and top-pick "steals" are rare. Hover any pick for its expected career Win Shares.
The franchises
Twenty-seven of thirty error bars cross zero
Rank the franchises by career Win Shares above slot expectation and
Oklahoma City leads at +489 over 69 picks, with San Antonio (+411), the
Lakers (+251), Phoenix (+240), and Golden State (+204) behind. The LA
Clippers sit last at −394. But the honest headline is the intervals:
draft value is heavy-tailed, and 27 of 30 franchise intervals cross zero.
The ordering is the estimate, not a verdict. Ten thousand fan arguments
about "our front office drafts badly" rest on differences this data cannot
certify.
All 30 franchises by Win Shares above slot expectation, classes 1989-2015. Hover for the 95% interval and the share of drafted minutes each franchise actually kept: drafting well and keeping the player are different skills.
Drawn with their intervals, the rankings look different. Even Oklahoma
City's interval reaches below zero, and the only franchises whose intervals
clear zero sit at the bottom of the list.
Each franchise's Win Shares above slot (dot) with its 95% interval (line). Blue intervals cross zero: the data cannot tell that franchise's drafting from average. The red ones clear zero, and all of them clear it on the negative side.
The colleges
Wake Forest, quietly, out-drafted everyone
Flip the question from who drafts to who supplies. Among colleges with 8+
draftees, Wake Forest leads at +323 Win Shares above slot with a 70% hit
rate (Tim Duncan and Chris Paul will do that), ahead of UCLA (+224),
Marquette (+201), Florida (+142), and Xavier (+117). Among high-volume
programs with 15+ draftees, Kentucky has the best hit rate: 25 of 41 picks
(61%) became 10,000-minute NBA players.
The twelve colleges whose draftees most outplayed their draft slots. Hover for draftee counts and hit rates. Volume and efficiency diverge: powerhouse programs send more players, but the per-pick surplus hides in smaller ones.
The steals
The biggest steal in the sample went first overall
"Steal" usually means a late pick who hit. Priced against slot expectation,
the biggest steal of the era is LeBron James at +200 Win Shares above what
pick 1 already promises. The rest of the top five: Dirk Nowitzki (+170 from
pick 9), Chris Paul (+155 from pick 4), Kobe Bryant (+145 from pick 13),
and Kevin Garnett (+136 from pick 5). A first-overall steal sounds like a
contradiction. It is the strongest possible statement about a career: the
most expensive slot in basketball, and his career still came to 3.6 times
its price.
Every steal in the table as a line from the slot's price (gray dot) to the career (blue dot); the line's length is the value above slot. Top picks start far to the right, so only a historic career leaves a long line; a late pick starts near zero, so most of its career counts.
Player
Year
Pick
Drafted by
WS above slot
LeBron James
2003
1
Cleveland Cavaliers
+200
Dirk Nowitzki
1998
9
Milwaukee Bucks
+170
Chris Paul
2005
4
New Orleans Pelicans
+155
Kobe Bryant
1996
13
Charlotte Hornets
+145
Kevin Garnett
1995
5
Minnesota Timberwolves
+136
Explore it yourself
Every lottery, every board, in the browser
The numbers above compress 27 draft classes into a few tables. The
interactive draft viewer
is the uncompressed version: every lottery since 1989 with pre-lottery odds
and movement, the full two-round board with career outcomes, colleges, and
teams, in light and dark, timezone-safe, no install. The full tables behind
this page (colleges.csv, teams.csv, steals.csv, pick_curve.csv,
each with an _r.csv twin from the independent R implementation) ship in
the repo, and the reconcile gate holds the twins equal.
Method, code, and verification
The full technical write-up (data provenance, model specification, validation gates, and stated limitations) is the README. The analysis is implemented independently in R and Python and reconciled to numeric tolerance; run_checks.sh replays every gate.