The REIGN
Score

What Is the REIGN Score?

The NBA is a different sport than it was in 1946. Pace, rules, roster sizes, the three-point line, league expansion. All of it makes raw counting stats difficult for cross-era comparisons. A 2,000-point season meant something very different in 1962 than it does in 2025.

The REIGN Score sidesteps that problem. It measures each player's output relative to what the average team produced per game that season. The higher the score, the more a player dominated his era in that stat.

The Formula

One division. The denominator is the average number of [points / rebounds / assists / etc.] that a single NBA team produced per game that season, sourced directly from Basketball Reference's historical league averages. The result tells you how many team-games' worth of that stat the player generated on his own.

Example

In 2023-24, the average NBA team scored 114.2 points per game. Shai Gilgeous-Alexander scored 2,254 total points that season:

SGA's REIGN Score of 19.7 means he single-handedly produced the scoring output of an entire NBA team across nearly 20 full games.

Now compare that to Michael Jordan in 1986-87. The average team scored 109.9 PPG that year, and Jordan put up 3,041 points:

Jordan's REIGN of 27.7 is roughly 40% more dominant than SGA's, despite the 37-year gap between them. That gap is exactly what REIGN makes visible: dominance relative to the era, regardless of when they played.

Why It Works

• Pace-adjusted by design. Faster eras inflate raw totals, but they inflate the league average equally, so the ratio stays honest.
• Expansion-proof. When the league adds teams, the per-team average naturally adjusts for changes in talent concentration.
• Rule-change resistant. The three-point line, zone defense, hand-checking: all shift league averages, and the formula adjusts for those shifts on its own.
• Intuitive. A REIGN Score of 25 means one player matched the output of an entire team across 25 games. 25 team-games of output from one player. That speaks for itself.
• Universal. Works for any counting stat (points, rebounds, assists, steals, blocks, threes), and the scores are directly comparable across stat categories.

What It Measures (and What It Doesn't)

REIGN measures relative statistical dominance: how much of a given stat one NBA player produced compared to the league norm of his era. A high REIGN Score means that player was an outlier among his NBA peers.

It does not measure efficiency, defense, leadership, clutch play, or any of the intangibles. A player who scores 25 PPG on 60% shooting and one who scores 25 PPG on 40% shooting get the same REIGN. REIGN doesn't care whether those points came on good or bad shots.

Limitations

• Volume, not efficiency. REIGN only cares about total production regardless of how efficiently it came. Two players with the same season total get the same score regardless of shooting percentage.
• Counting stats only. Percentages, advanced metrics, and per-possession stats aren't captured. This is purely about raw output relative to the league.
• Games played matters. A player who misses 20 games will have a lower REIGN even if his per-game numbers are elite. This is intentional: REIGN measures total season dominance, so missing time always hurts.
• Early era gaps. Steals and blocks weren't tracked until 1973-74. Three-pointers didn't exist until 1979-80. For those seasons, affected stats show as unavailable.

Data Sources

All data is sourced from Basketball Reference, the most comprehensive public source for historical NBA statistics.

• League averages: Per-team per-game stats from BR's League Season Summary page, covering 80 seasons from 1946-47 through 2025-26.
• Player totals: Individual season totals from BR's per-season player totals pages, covering over 30,000 player-seasons across every NBA season.

Each player-season is its own entry. Jordan 1987 and Jordan 1996 are distinct entries, each measured against their own season's league context.

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