Quiz: Receiving Analytics
Target: 70% or higher to proceed.
Section 1: Multiple Choice (1 point each)
1. What does target share measure?
- A) Percentage of team yards from a receiver
- B) Percentage of team pass attempts to a receiver
- C) Percentage of completions
- D) Share of team touchdowns
Answer
**B)** Percentage of team pass attempts to a receiver *Explanation:* Target share = receiver's targets / team's total pass attempts.2. What does ADOT stand for?
- A) Average Distance Over Time
- B) Average Depth of Target
- C) Adjusted Distance of Throw
- D) Actual Depth of Target
Answer
**B)** Average Depth of Target *Explanation:* ADOT measures the average air yards on all pass attempts to a receiver.3. What does a RACR above 1.0 indicate?
- A) The receiver is dropping passes
- B) The receiver gains more yards than targeted (high YAC)
- C) The quarterback is inaccurate
- D) The receiver has low target share
Answer
**B)** The receiver gains more yards than targeted (high YAC) *Explanation:* RACR = receiving yards / air yards. Above 1.0 means YAC is adding to the air yards.4. Why is raw catch rate a limited metric for receiver evaluation?
- A) It's too complicated
- B) It doesn't account for target difficulty (depth, separation)
- C) It's not tracked accurately
- D) It overvalues touchdowns
Answer
**B)** It doesn't account for target difficulty (depth, separation) *Explanation:* A receiver with mostly short targets will have higher catch rate than a deep threat regardless of skill.5. What is the primary challenge in separating receiver value from QB value?
- A) They're on different teams
- B) Receivers don't control throw quality, but outcomes depend on it
- C) There's no data available
- D) QBs don't affect receiver stats
Answer
**B)** Receivers don't control throw quality, but outcomes depend on it *Explanation:* A perfectly run route with a bad throw results in poor stats for the receiver.6. What does YAC measure?
- A) Yards in the air before catch
- B) Yards gained after making the catch
- C) Yards lost on drops
- D) Total receiving yards
Answer
**B)** Yards gained after making the catch *Explanation:* YAC = yards after catch, measuring receiver contribution post-reception.7. A receiver with low ADOT and high YAC is likely a:
- A) Deep threat
- B) Red zone specialist
- C) Slot/YAC specialist
- D) Tight end
Answer
**C)** Slot/YAC specialist *Explanation:* Low ADOT means short targets; high YAC means gaining yards after catch—characteristic of slot receivers.8. What is WOPR used to measure?
- A) Wins over passing replacement
- B) Weighted opportunity rating combining target and air yards share
- C) Wide out production rating
- D) Weekly offensive passing rate
Answer
**B)** Weighted opportunity rating combining target and air yards share *Explanation:* WOPR = 1.5 × target share + 0.7 × air yards share, measuring receiving opportunity.9. Why might a receiver have high EPA but low catch rate?
- A) Deep targets with successful completions
- B) They drop everything
- C) Bad quarterback
- D) EPA doesn't work for receivers
Answer
**A)** Deep targets with successful completions *Explanation:* Deep targets have lower catch rates but high EPA when caught. A few big plays can drive high EPA.10. How can you control for QB quality when evaluating receivers?
- A) Ignore it
- B) Compare receivers who have the same quarterback
- C) Use fantasy points
- D) Only look at catch rate
Answer
**B)** Compare receivers who have the same quarterback *Explanation:* Same-QB comparison isolates receiver contribution since throw quality is constant.Section 2: True/False (1 point each)
11. High target share always indicates an elite receiver.
Answer
**False** *Explanation:* A receiver can have high target share due to lack of other options, not necessarily skill.12. EPA per target is generally higher than EPA per rushing attempt.
Answer
**True** *Explanation:* Passing is more efficient than rushing (~+0.05 EPA vs ~-0.05), so receiving EPA is typically higher.13. ADOT and catch rate are typically positively correlated.
Answer
**False** *Explanation:* They're negatively correlated—deeper targets are harder to catch.14. Red zone targets typically have higher EPA than non-red zone targets.
Answer
**True** *Explanation:* Red zone plays are closer to scoring, so successful plays have higher EPA impact.15. Yards after catch is entirely attributable to the receiver's skill.
Answer
**False** *Explanation:* YAC also depends on throw location, scheme design, and blocker effort—not purely receiver skill.Section 3: Code Analysis (2 points each)
16. What does this code calculate?
passes.groupby('receiver_player_name').agg(
racr=lambda x: x['yards_gained'].sum() / x['air_yards'].sum()
)
Answer
This calculates RACR (Receiver Air Conversion Ratio) for each receiver. RACR = total receiving yards / total air yards - Values > 1.0 mean receiver gains more than targeted (YAC contribution) - Values < 1.0 mean incomplete passes or low YAC17. What's the issue with this receiver comparison?
rec_a = passes[passes['receiver'] == 'WR_A']['epa'].mean()
rec_b = passes[passes['receiver'] == 'WR_B']['epa'].mean()
print(f"WR_A is better: {rec_a > rec_b}")
Answer
**Issues:** 1. No sample size check 2. No QB quality control (different QBs) 3. No target quality comparison (depth, situation) 4. No statistical significance test **Better approach:**# Check targets, compare with same QB
# Account for ADOT and situations
# Use confidence intervals
18. What does this code accomplish?
qb_baseline = passes.groupby('passer_player_name')['epa'].mean()
passes = passes.merge(qb_baseline.rename('qb_epa'),
left_on='passer_player_name', right_index=True)
passes['rec_over_qb'] = passes['epa'] - passes['qb_epa']
Answer
This creates a QB-adjusted receiving metric: 1. Calculates each QB's average EPA 2. Joins QB baseline to each pass 3. Subtracts QB average from each target's EPA 4. Result: How much better/worse was this target vs. QB's typical pass? This helps isolate receiver contribution from QB quality.Section 4: Short Answer (2 points each)
19. Explain the difference between air yards, YAC, and receiving yards.
Sample Answer
**Air Yards:** Distance the ball travels in the air from line of scrimmage to catch point (or intended catch point) **YAC (Yards After Catch):** Yards gained by the receiver after making the catch, before being tackled **Receiving Yards:** Total yards gained on the play = Air Yards + YAC (for completions) Example: A 25-yard reception where the ball traveled 15 yards in the air and the receiver ran 10 more yards: - Air yards: 15 - YAC: 10 - Receiving yards: 2520. Why is target share an important but incomplete metric?
Sample Answer
**Important because:** - Shows opportunity level - Indicates team's confidence in receiver - Correlates with raw production - Baseline for all volume stats **Incomplete because:** - High volume doesn't mean high efficiency - May reflect lack of options, not quality - Doesn't account for target quality (depth, situation) - Can be inflated by garbage time - Ignores QB and scheme contribution Need efficiency metrics (EPA/target) alongside target share.21. How would you design an analysis to identify undervalued receivers?
Sample Answer
**Analysis Design:** 1. **Efficiency over volume**: Find receivers with high EPA/target but low target share 2. **QB adjustment**: Identify receivers who perform despite bad QBs 3. **Situational excellence**: Find third-down or red zone specialists 4. **YAC specialists**: Receivers who maximize short targets 5. **Team context**: Compare to teammates with same QB/scheme **Metrics to use:** - EPA per target (rank high, volume rank low = undervalued) - Catch rate over expected - QB-adjusted EPA - RACR (converting opportunities) Undervalued = high efficiency + low opportunity + not on dominant passing teamSection 5: Application (3 points each)
22. Design an analysis to determine if a receiver's success is due to their skill or their quarterback.
Sample Answer
**Analysis Approach:** 1. **Same-QB comparison**: - Compare all receivers targeted by the same QB - If one receiver significantly outperforms, suggests individual skill 2. **Multi-QB tracking**: - Follow receiver if they change teams/QBs - Consistent performance = receiver skill - Variable performance = QB-dependent 3. **QB-adjusted metrics**: - Calculate receiver EPA over QB baseline - Positive = adds value beyond QB 4. **YAC isolation**: - YAC is less QB-dependent - High YAC suggests receiver skill 5. **Catch rate over expected**: - Controls for throw difficulty - Isolates receiver catching ability **Limitation:** Perfect separation impossible—receiving is inherently collaborative.23. A team is considering two free agent receivers: (A) High target share (28%), average EPA/target (0.15), or (B) Low target share (14%), high EPA/target (0.35). How would you advise them?
Sample Answer
**Analysis:** 1. **Efficiency matters more**: - Receiver B is more efficient (0.35 vs 0.15 EPA/target) - But can B maintain efficiency with more volume? 2. **Volume increase projection**: - B at 14% share might become 20-25% as a starter - Historical data: efficiency often declines with volume - But top receivers maintain both 3. **Context investigation**: - Why is B's share low? Injury? Bad team? Role player? - Why is A's efficiency average? Covered by #1 CB? Poor QB? 4. **QB fit**: - Analyze receivers with new team's QB - Which style fits the offense? 5. **Additional factors**: - Age and trajectory - Injury history - Contract demands **Recommendation:** Likely prefer B unless volume increase kills efficiency. High-efficiency receivers often maintain performance better than high-volume average receivers. But need context on why shares differ.Section 6: Matching (1 point each)
Match the metric with what it primarily measures:
| Metric | Measures |
|---|---|
| 24a. ADOT | A. Opportunity conversion |
| 24b. RACR | B. Receiving efficiency |
| 24c. EPA/target | C. Target depth |
| 24d. YAC | D. Post-catch production |
Answers
**24a. C** - ADOT: Target depth (average air yards) **24b. A** - RACR: Opportunity conversion (yards / air yards) **24c. B** - EPA/target: Receiving efficiency (value per opportunity) **24d. D** - YAC: Post-catch production (yards after catch)Section 7: Critical Thinking (2 points)
25. A receiver leads the league in yards but has below-average EPA per target and the lowest catch rate among qualified receivers. How would you evaluate this player?
Sample Answer
**How this happens:** 1. **Extreme volume**: Enough targets to accumulate yards despite low efficiency 2. **Deep threat role**: Low catch rate + high yards = successful deep balls 3. **Boom-bust profile**: Few catches, but big ones **Evaluation considerations:** 1. **Role understanding**: Is this by design (field stretcher) or inefficiency? 2. **Team context**: - Does team have many options? (if not, force-fed targets) - QB quality affecting catch rate? 3. **EPA interpretation**: - Low EPA/target but high total EPA possible - Check situational EPA (3rd down, red zone) 4. **Sustainability**: - Can maintain volume? - What happens if targets decrease? 5. **True value**: - Yards are inflated by volume - Efficiency matters for wins - But stretching the field has unmeasured value **Assessment:** Not necessarily bad—deep threats have this profile. But don't pay for yards; pay for efficiency. If team can get similar production cheaper, consider it.Scoring
| Section | Points | Your Score |
|---|---|---|
| Multiple Choice (1-10) | 10 | ___ |
| True/False (11-15) | 5 | ___ |
| Code Analysis (16-18) | 6 | ___ |
| Short Answer (19-21) | 6 | ___ |
| Application (22-23) | 6 | ___ |
| Matching (24) | 4 | ___ |
| Critical Thinking (25) | 2 | ___ |
| Total | 39 | ___ |
Passing Score: 27/39 (70%)