WHAT IS DRAFT SCORE?
Draft Score is a proposal for re-ranking the NBA lottery. Instead of using record alone, it combines multi-year futility, competitive effort against other lottery teams, and final regular-season record to decide who deserves the best odds.
The model is built to answer two questions at once: what kind of team should be helped by the draft, and what kind of behavior should the lottery reward. The final 2025-26 results make that easier to see. Draft Score shifted lottery equity away from one-year collapses and toward teams with real multi-year futility that still competed against peers.
WHAT THE MODEL MEASURES
Draft Score uses a 40/35/25 split. The formula is simple enough to explain, but the interaction between the three inputs is what matters. Each one captures a different idea of who deserves lottery help, and together they make tanking much harder to optimize.
40%
Priors
Two-year average league rank before the current season. Frozen before opening night. This is the memory of organizational suffering, and it keeps one bad year from erasing two years of context.
35%
Lottery MOV
Average point differential against final lottery teams. This is the effort check. Losing close matters. Getting blown out by peers matters more. It is how the model distinguishes honest bad teams from teams optimizing for losses.
25%
Record
Final regular-season record within the lottery field. Still relevant, but too weak to let raw losing overpower history and effort. Record stays in the model without being allowed to dominate it.
WHY THIS MODEL EXISTS
The current NBA lottery is built almost entirely on record. That makes losing the only signal that really matters. The league flattened odds in 2019 to reduce the race to absolute last place, but it did not remove the core incentive. It just widened the zone where being bad still pays.
Draft Score changes the ranking logic before it changes the odds. Instead of asking only who lost the most games, it asks three separate questions: who has been bad for years, who is still competing against peer teams, and who actually finished with the worst record. The model is designed so those forces pull against each other instead of all rewarding the same behavior.
That tension is the whole point. A team cannot maximize priors, MOV, and record all at once. Priors are frozen before the season. MOV rewards effort. Record still rewards losing. Once those incentives stop lining up cleanly, tanking stops being the obvious answer.
HOW TO GAME IT
// The one-year tank //
Under the current NBA system, the one-year tank is straightforward. A team trades productive veterans, rests healthy players, plays developmental lineups, piles up losses, and climbs the odds board. Draft Score attacks that strategy from two sides. Priors are frozen before opening night, so a late collapse does not rewrite recent competence. Lottery-field MOV then punishes the kind of ugly, low-effort losses that tanking usually produces.
That means a team can still worsen its record, but the gains from record are partially canceled by poor priors and a collapsing MOV profile. The strategy does not disappear entirely, but it becomes dramatically weaker than it is under the current system.
// The disciplined long rebuild //
The most effective way to maximize Draft Score looks a lot like the kind of team that genuinely deserves help. A franchise can strip down over multiple years, absorb losing seasons, build very bad priors, then enter a target season still bad enough to miss the playoffs but competitive enough to post a strong lottery-field MOV. That profile is hard to fake quickly, expensive in organizational patience, and much closer to a real rebuild than a one-year dive.
That is not a flaw in the model. It is the point. If the best way to game the system is to become the exact kind of team the draft is supposed to help — long-term bad, still trying, still rebuilding honestly — then the gaming problem is already much healthier.
// The middle-class strategy //
The original lottery gives teams in the 30-to-42-win range very little reason to keep going. They are too bad to matter in the playoffs and not bad enough to matter in the lottery. Draft Score gives them a different path. If they have endured multiple weak seasons and keep competing against peer teams, they can earn legitimate lottery position without needing to become strategically hopeless.
WHAT THE FINAL SEASON REVEALED
// 1. Frozen priors worked //
The strongest proof of the model came from who it refused to reward. Recent winners in collapse mode did not automatically inherit premium lottery status just because they bottomed out once. That memory of prior competence survived the season.
// 2. MOV changed the moral center //
Record tells you who lost. Lottery-field MOV tells you how they lost. That distinction is everything. Teams that competed, even while remaining structurally bad, rose. Teams that got obliterated by peer opponents sank.
// 3. The middle class finally had a lane //
The current NBA lottery has almost no imagination for teams stuck between hopeless and relevant. Draft Score did. A team could be merely mediocre in the final standings and still earn serious lottery position if it had endured long enough and kept competing. That is a healthier incentive structure than demanding either tanking or irrelevance.
BIGGEST GAINERS
Charlotte 2026 — +12 spots, +24.5% odds
Charlotte finished with a winning record and would have been nearly invisible in the current lottery. Draft Score instead treated them as the cleanest example of sustained futility turning into honest competition: terrible priors, elite pool MOV, real reward.
Houston 2024 — +11 spots, +23.5% odds
A 41-win team jumping to the top of the model is exactly the point. Two catastrophic prior seasons still mattered, and Houston’s competitive play against peer teams turned that history into real lottery equity without asking them to lose on purpose.
Oklahoma City 2023 — +10 spots, +18.4% odds
OKC had already paid the price across earlier seasons. The model recognized that history instead of pretending a better current record erased it. A rebuild that kept competing was rewarded instead of ignored.
BIGGEST LOSERS
Indiana 2026 — -9 spots, -13.2% odds
Indiana had one of the league’s worst records, but they had just been a Finals team. Draft Score treated that collapse as exactly what it was: one bad season, not sustained suffering. Their priors and poor pool MOV buried them.
Sacramento 2026 — -6 spots, -12.9% odds
The current system sees a terrible record and hands over premium odds. Draft Score remembers Sacramento was recently competitive and also sees weak performance against the lottery field. Recent competence plus current non-competition is not a top-tier lottery case.
Houston 2021 — -13 spots, -13.5% odds
This is the clearest anti-tank example in the sample. Houston cratered after recent success and posted awful pool MOV. The current system rewarded the collapse. Draft Score nearly erased it.
WHY STEEP ODDS STILL MATTER
Draft Score pairs its ranking with a steeper odds table because position is supposed to matter again. Under the current NBA system, the worst three records all get the same top odds, which reduces the meaning of moving from #3 to #1. Under Draft Score, the difference between those spots matters because the ranking itself is making a stronger judgment.
That only works if the ranking is better than record alone. The model argues that concentrated odds should flow to teams with deeper evidence of need: sustained futility, competitive effort, and a bad final season, not just a single collapse timed perfectly for lottery night.
VS CURRENT NBA
| Metric | Draft Score | Current NBA |
|---|---|---|
| Primary ranking logic | Priors + lottery MOV + record | Record only |
| Rewards effort | Yes, via pool MOV | No |
| Recognizes multi-year futility | Yes | No |
| Rewards one-year collapse | Limited | Strongly |
| Middle-class path | Yes | Barely |
| Top odds concentration | Steep | Flat |
FINAL READ
Draft Score moved equity from strategic losers to sustained sufferers.
That is the cleanest summary of the final season. It did not erase randomness, but it changed who deserved the strongest odds.
The model made effort visible.
By forcing lottery-field MOV into the ranking, it separated honest bad teams from teams that simply optimized for losses.
The NBA middle class finally mattered.
Teams stuck in long-term mediocrity were not forced to choose between fake relevance and intentional collapse. They had another route.
// examples last updated Apr 18, 2026 //