Loading Historical Data
Analyzing 10 seasons of NBA performance data...
Key Findings
What 10 seasons of data reveal about consistency and playoff success
Correlation Explorer
Compare how different metrics correlate with playoff wins
Which Window Best Predicts Playoffs?
Comparing correlation strength across different analysis periods
Net Rating vs Rugosity
Direct comparison of predictive power
Badge Performance Analysis
Do teams with specific badges perform better in the playoffs?
Archetype Performance Analysis
Which team profiles perform best in the playoffs?
Understanding Archetypes
Each team is classified into one of 16 archetypes based on four binary dimensions:
Examples:
- Elite Consistent: High offense + High defense + Consistent on both ends
- Elite Volatile: High offense + High defense + Inconsistent play
- Offensive Juggernaut: Great offense, poor defense, varies by consistency
- Defensive Anchor: Great defense, poor offense, varies by consistency
Methodology
How the analysis was conducted
Core Metrics
Net rating is the difference between offensive and defensive efficiency, measured as points scored/allowed per 100 possessions.
Consistency Metrics
We test three different approaches to measuring consistency:
1. Rugosity - Arc-to-chord ratio measuring path volatility
A rugosity of 1.0 means perfectly consistent (straight line). Higher values indicate more volatile performance.
2. Standard Deviation - Classic volatility measure
Measures how much ratings vary from the average. Lower = more consistent.
3. Residual Standard Deviation - Volatility after removing trend
Captures "noise" around the trend. A team can be improving (positive trend) but still have high residual std if they're erratic.
Combined Metrics
To test whether consistency adds predictive power on top of raw performance:
Rewards teams that are both good AND consistent.
Penalizes inconsistency directly.
Trend Metrics
Trend scores capture whether a team is improving or declining over the analysis window.
We also calculate separate offensive and defensive trends to see if one side improving/declining matters more.
Archetypes
Each team is classified into one of 16 archetypes based on four binary dimensions relative to league medians:
- Offensive rating above/below median
- Defensive rating above/below median
- Offensive consistency above/below median
- Defensive consistency above/below median
Badge Analysis
We track which teams would have earned each badge in historical seasons and analyze their playoff performance:
- Consistently Good/Bad: Most consistent among top/bottom 10 net rating
- Best Offense/Defense: Highest offensive/defensive rating
- On the Rise/Decline: Highest positive/negative trend
Analysis Windows
We calculate metrics using the last 10, 20, 30, 40 games of the regular season, plus the full season. This tests whether late-season performance is more predictive than full-season averages.
Playoff Performance
Playoff success is measured by total playoff wins (0-16). Teams that missed the playoffs receive 0 wins. This creates a continuous scale where the champion has 16 wins.
Playoff Teams Only Analysis
We also analyze just playoff teams to answer: among playoff teams, does consistency predict deeper runs? This isolates the effect of consistency for teams that have already qualified.