Chapter 18: Key Takeaways - Team Defensive Analytics
Core Concepts Summary
1. Defensive Rating Fundamentals
- Defensive Rating (DRtg) = Points Allowed x 100 / Possessions
- Possessions = FGA + 0.44 x FTA - OREB + TOV
- Modern NBA league average: 110-114 DRtg
- Elite teams: <108 DRtg; Poor teams: >116 DRtg
2. The Defensive Measurement Challenge
| Challenge | Explanation | Implication |
|---|---|---|
| Prevention | Defense succeeds by preventing events | Hard to measure non-events |
| Collaboration | All 5 players work together | Individual attribution difficult |
| Variance | Outcome =/= process | Small samples misleading |
| Scheme dependence | Same player looks different in different systems | Context matters |
3. Rim Protection Metrics
- DFG% at Rim: Opponent FG% on contested rim shots
- Contest Frequency: Rim shots contested per 36 minutes
- Deterrence Effect: Change in opponent shot selection when player is on court
- Elite rim protector: <55% DFG at rim + 8+ contests per 36
4. Perimeter Defense Reality
Variance in Opponent 3P Shooting:
- Individual defender: 10-15%
- Team scheme: 15-20%
- Shooter skill + random: 65-75%
Implication: Single-season perimeter stats are unreliable
5. Defensive Versatility Value
- Switch-everything schemes eliminate advantageous matchups
- Switchable = can guard multiple positions (1-4 or 2-5)
- Modern premium on versatility over single-skill excellence
- No defensive weak links is often better than one elite + one poor defender
Essential Formulas
Team Defense
Defensive Rating = (Points Allowed x 100) / Possessions
Possessions = FGA + 0.44 x FTA - OREB + TOV
Relative DRtg = Team DRtg - League Average DRtg
On-Off Differential = Team DRtg (Off) - Team DRtg (On)
Rim Protection
DFG% at Rim = Opponent FGM at Rim / Opponent FGA at Rim (when contested)
Rim Protection Frequency = Rim Contests / Minutes x 36
Points Saved per Game = Contests/Game x (League Avg Rim% - Player DFG%) x 2
Rebounding
Defensive Rebound % = DRB / (DRB + Opponent ORB)
Second Chance Prevention = Opponent ORB x Expected PPP per Second Chance
Shot Quality Defense
Expected FG% = Base Rate (by zone) + Contest Adjustment
Shot Quality Defense = Opponent xFG% (lower is better)
Luck Factor = Opponent Actual FG% - Opponent xFG%
Implementation Checklist
Setting Up Defensive Analytics Pipeline
- [ ] Data Collection
- [ ] Acquire play-by-play with shot locations
- [ ] Gather tracking data for contests and positioning
- [ ] Collect opponent statistics by game
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[ ] Track lineup and rotation data
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[ ] Basic Metrics Calculation
- [ ] Calculate team Defensive Rating by game
- [ ] Compute on-off differentials for all players
- [ ] Generate opponent shooting splits by zone
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[ ] Track defensive rebounding rates
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[ ] Advanced Analysis
- [ ] Build shot quality model (xFG%)
- [ ] Calculate rim protection metrics
- [ ] Create versatility scores
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[ ] Estimate RAPM (if sufficient data)
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[ ] Visualization
- [ ] Shot location charts (opponent shots)
- [ ] Heat maps of defensive coverage
- [ ] On-off comparison charts
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[ ] Trend analysis over time
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[ ] Reporting
- [ ] Generate defensive profiles by player
- [ ] Identify scheme strengths/weaknesses
- [ ] Compare to league benchmarks
- [ ] Create video integration lists
Common Pitfalls to Avoid
1. Over-relying on Outcome Metrics
Problem: Using opponent FG% to evaluate individual defenders Solution: Weight process metrics (contests, shot quality allowed) more heavily
2. Small Sample Conclusions
Problem: Judging perimeter defense from one season Solution: Require 2000+ minutes minimum; use multi-year samples
3. Ignoring Scheme Context
Problem: Comparing players in different defensive systems Solution: Adjust for scheme (drop vs. switch) and role
4. Neglecting Collaboration
Problem: Attributing team success/failure to individuals Solution: Recognize defense is fundamentally a 5-man endeavor
5. Assuming Skill from Results
Problem: Thinking low opponent FG% = good defense Solution: Separate shot quality creation from opponent shooting variance
Quick Reference Tables
Defensive Rating Benchmarks (Modern NBA)
| Percentile | DRtg | Classification |
|---|---|---|
| 90th | <108 | Elite |
| 75th | 108-110 | Very Good |
| 50th | 110-113 | Average |
| 25th | 113-116 | Below Average |
| 10th | >116 | Poor |
Rim Protection Benchmarks
| Metric | Elite | Good | Average | Poor |
|---|---|---|---|---|
| DFG% at Rim | <55% | 55-58% | 58-62% | >62% |
| Contests/36 | 8+ | 6-8 | 4-6 | <4 |
| Points Saved/36 | 1.5+ | 1.0-1.5 | 0.5-1.0 | <0.5 |
Individual Defensive Metric Reliability
| Metric | Sample for Stability | Year-to-Year Correlation |
|---|---|---|
| DRtg On-Off | 2000+ minutes | 0.3-0.4 |
| D-RAPM | Full season | 0.3-0.4 |
| DFG% at Rim | 200+ contests | 0.5-0.6 |
| DFG% Perimeter | 300+ contests | 0.2-0.3 |
Defensive Scheme Guide
Drop Coverage
Ideal For: Teams with elite rim protector, weaker perimeter defenders Strengths: Protects rim, reduces layups/lobs Weaknesses: Concedes pull-up threes, vulnerable to elite shooters Personnel Need: DPOY-caliber rim protector + decent perimeter recovery
Switch-Everything
Ideal For: Teams with multiple versatile defenders Strengths: Eliminates advantageous switches, disrupts actions Weaknesses: Post-up mismatches, size differential exploitation Personnel Need: All 5 players must guard 3+ positions competently
Blitz/Trap
Ideal For: Creating chaos, stopping elite ball handlers Strengths: Disruptive, forces turnovers, increases tempo Weaknesses: Leaves shooters open if rotation slow Personnel Need: Quick rotators, active hands, good communication
Zone
Ideal For: Hiding a weak defender, stopping penetration Strengths: Protects paint, reduces direct matchup exploitation Weaknesses: Vulnerable to good shooting, offensive rebounding Personnel Need: Smart defenders, good communicators
Application Scenarios
Scenario 1: Evaluating a Free Agent Defender
- Gather multi-year on-off data
- Calculate D-RAPM if available
- Analyze scheme fit with your team
- Review tracking metrics (contests, rim protection)
- Watch video for process evaluation
- Consider versatility for your scheme needs
Scenario 2: Game Planning Defense Against Opponent
- Identify opponent's primary actions (PnR, ISO, etc.)
- Analyze their efficiency by play type
- Find their weak links (who to help off)
- Design scheme to force worst options
- Track shot quality allowed in-game
Scenario 3: Building a Defensive Roster
- Identify your anchor (rim protector vs. switchable)
- Ensure no severe weak links
- Match personnel to scheme requirements
- Prioritize versatility at wing positions
- Consider transition defense ability
Scenario 4: Identifying Defensive Improvement Areas
- Compare shot quality allowed to actual FG%
- Identify high-frequency opponent actions
- Find efficiency by zone/play type
- Track transition frequency against
- Analyze second-chance points allowed
Key Insight Summary
- Defense is collaborative: Individual metrics have limited meaning without team context
- Process > Outcome: Shot quality metrics are more stable than shooting percentages
- Multi-year samples needed: Single seasons have too much variance
- Rim protection still matters: But must be balanced with perimeter coverage
- Versatility is premium: Modern offense hunts mismatches relentlessly
- Scheme fit is crucial: Same player looks different in different systems
- Video integration required: Numbers identify where to look; film shows why
- Regular season != Playoffs: Scheme weaknesses get exploited more in postseason