The box score tells you what happened. Advanced stats tell you who actually won the math. A player who scores 28 points on 26 shots (poor efficiency) loses the math even if his name is at the top of the box score. A player who scores 18 on 11 shots (excellent efficiency) wins it. Advanced stats translate raw production into the underlying truth about who helped or hurt their team.
This is the plain-English guide to the 14 advanced stats that matter in 2026 NBA basketball — for coaches who want to grade decisions, bettors who want to read the line, and fans who want to argue at a higher level.
The 4 You Absolutely Need to Know
These are the four stats that explain ~80% of basketball outcomes:
1. True Shooting Percentage (TS%)
The single best one-number measure of scoring efficiency.
TS% = points / (2 × (FGA + 0.44 × FTA))
- League average: ~57-58%
- Elite scorer threshold: 60%+
- MVP-tier scorer: 65%+
- Brunson 2026: ~62% (championship-level at high volume)
- Wembanyama 2026: ~63%
TS% combines twos, threes, and free throws into one number. Unlike plain FG%, it correctly values a three-pointer (1.5x a two) and gives credit for getting to the line. It's the metric every front office leads with when evaluating a scorer.
2. Effective Field Goal Percentage (eFG%)
`eFG% = (FGM + 0.5 × 3PM) / FGA`
- League average: ~54%
- Elite shooter threshold: 56%+
eFG% is TS% without the free throws. Useful when you want to grade the field-goal portion of a player's scoring in isolation. A high TS% with a low eFG% means the player is gaming the foul line; a low TS% with a high eFG% means the player isn't drawing enough fouls.
3. Usage Rate (USG%)
What % of his team's possessions ended with him.
- League average for a starter: 18-22%
- High-usage star: 28-32%
- Brunson 2026 Finals: ~36%
Usage rate puts efficiency in context. A guy with 70% TS% on 12% usage isn't carrying offense — he's getting easy looks. A guy with 60% TS% on 32% usage IS carrying offense. The combination of high TS% AND high usage is the signature of a true star.
4. Net Rating (per 100 possessions)
Points scored - points allowed, per 100 possessions, on the floor.
- Championship teams: +6 to +10
- Playoff teams: +2 to +5
- Lottery teams: -3 to -8
Net rating is the truest single-number test of "is this team / lineup good?" Every +1 of season-long net rating correlates to about 2.5 additional wins.
Want to apply these stats with possession-level context — coverage, action type, lineup math? Start a HoopBrief plan and the 12-lens framework pairs the headline advanced stats with the per-possession reasons behind them.
The 4 That Decide Player Value Debates
These are the four stats analytics writers use when they argue about MVP and All-NBA selections.
5. PER (Player Efficiency Rating)
John Hollinger's per-minute productivity index. League average is hard-set to 15.0; superstars live at 25-30+.
PER's strength: a quick filter. PER's weakness: it underweights defense and overweights high-usage offensive players. Useful as a first-look number; don't argue on it alone.
6. BPM (Box Plus/Minus)
Per-100-possessions impact above league average, with team context built in.
- 0.0: league average
- +5: All-Star
- +8 to +12: MVP-tier
BPM is the metric most front offices trust over PER in 2026 because it tries to credit defense via team-stats decomposition. Still imperfect, but better-calibrated.
7. VORP (Value Over Replacement Player)
Cumulative season value above a replacement-level player. Rewards playing well AND playing a lot.
- 2-3: good rotation player
- 4-5: All-Star caliber
- 6-8: All-NBA candidate
- 8+: MVP conversation
8. Win Shares (WS) / WS per 48
Estimated wins each player contributed. WS per 48 is the rate stat (.150 is good, .200+ is elite, .250 is generational).
WS has the longest history of the value metrics and underwrites a lot of comparison-across-eras arguments. It tends to underrate defensive specialists.
The 4 That Tell You Who Wins Closeouts and Fourth Quarters
9. Offensive Rating (ORTG)
Points scored per 100 possessions, by player or team. Elite NBA offenses live at 118+ in 2026; bad ones at 108 or below.
10. Defensive Rating (DRTG)
Same scale, defense side. Elite defenses allow 108 or fewer per 100; bad defenses give up 118+.
11. Assist Percentage (AST%)
% of teammate field goals a player assisted on while on the floor.
- Lead point guard: 30-40%+
- Trae Young / Haliburton tier: 45%+
12. Turnover Percentage (TOV%)
% of possessions that end in the player turning the ball over. League average ~13%; elite floor generals are under 11%.
Combine high AST% + low TOV% and you have a primary handler whose decisions reliably create points without giving them back. That's the signature of every championship-level lead guard.
The 2 That Tell You the Story Most Fans Miss
13. Points Per Possession (PPP)
The cleanest measure of efficiency on any possession type. Our PPP explainer piece covers it in detail.
- Spot-up three: ~1.10 PPP (best NBA shot)
- Cut to the rim: ~1.35 PPP (best NBA action)
- Late-clock iso: ~0.78 PPP (worst NBA shot)
Coaches and analysts use PPP per play type to decide which actions to call. It's the metric behind every "good shot / bad shot" debate.
14. Plus/Minus and On/Off Splits
How much your team out- or under-performs when the player is on the floor.
- Raw +/-: simple but noisy.
- On/Off net rating: much better — the gap between team net rating with the player on vs off.
A player whose team is +8 with them on the floor and -3 with them off is creating value worth a championship-tier salary.
How These Fit Together
Most basketball debates collapse if you triangulate three things:
- TS% (is he efficient as a scorer?)
- Usage rate (at what volume?)
- On/Off net rating (does his team win when he's playing?)
A player with high TS%, high usage, AND positive on/off is a star. A player with high TS% but low usage and a flat on/off is a complementary piece. A player with high usage and low TS% is hurting his team. The combination decides the argument.
For the analytics-minus-the-math version, see our NBA analytics without a stats degree piece. For the moneyball-history backstory, moneyball for basketball.
Want to pair these stats with possession-level film context — what coverage, what action, what lineup? HoopBrief subscriber plans tag every NBA possession across 12 lenses so the headline stats come with the WHY behind them.
Where to Go Next
Companion analytics pieces: NBA analytics without a stats degree — 7 numbers you should know, points per possession (PPP) explained for 2026, moneyball for basketball — how data is changing the NBA.
Application: how scouts evaluate decision-making, how to read NBA defensive coverages on film, why the mid-range still matters in today's NBA.
Hub: Player Development Hub.
