Chapter 20: Quiz - Recruiting Analytics

Instructions

Choose the best answer for each question. Questions cover recruiting ratings, prospect evaluation, class analysis, and efficiency metrics.

Section 1: Recruiting Data and Ratings (Questions 1-10)

Question 1

How many players typically receive a 5-star rating nationally per recruiting class?

A) About 10 B) About 30 C) About 100 D) About 300

Question 2

The "blue chip ratio" refers to:

A) The percentage of players with offers from top programs B) The ratio of 4 and 5-star players to total roster C) The ratio of starters to non-starters D) The percentage of players who sign early

Question 3

Which factor creates the most uncertainty in recruiting data quality?

A) Standardized testing protocols B) Self-reported measurables and unverified times C) Multiple rating services D) Player transfers

Question 4

A composite rating of 0.9850 typically indicates:

A) An elite 5-star prospect B) A high 4-star prospect C) An average 3-star prospect D) A below-average 2-star prospect

Question 5

Why are high school statistics difficult to compare directly?

A) Different states use different stat categories B) Competition levels vary dramatically C) Schemes affect individual statistics D) All of the above

Question 6

The stabilization point for recruiting ratings (when they become 50% reliable) is typically reached:

A) After looking at 1-2 seasons of college play B) When ratings from multiple services agree C) After accounting for physical development D) Ratings are already fully reliable at signing

Question 7

Which position typically has the most reliable height-to-success correlation?

A) Running back B) Cornerback C) Offensive tackle D) Quarterback

Question 8

"Evaluated" vs. "non-evaluated" status for recruits refers to:

A) Whether the player attended camps B) Whether rating services have seen game film C) Whether a player has official offers D) Whether physical measurements are verified

Question 9

The 247Sports Composite rating combines:

A) Only 247Sports expert ratings B) Ratings from 247Sports, Rivals, ESPN, and On3 C) High school statistics and measurables D) Expert ratings and player commit status

Question 10

Regional bias in recruiting ratings most affects:

A) Players from Texas and California B) Players from smaller states with less exposure C) Players at power conference schools D) Players who transfer

Section 2: Prospect Evaluation (Questions 11-17)

Question 11

When evaluating a prospect's physical profile, which approach is most appropriate?

A) Compare all prospects to the same standard B) Use position-specific ideal ranges C) Only consider height and weight D) Rely solely on 40-yard dash times

Question 12

A running back with 6.5 yards per carry in Texas 6A competition vs. a back with 8.0 yards per carry in a smaller classification should be compared:

A) Using raw statistics directly B) After applying competition-level adjustments C) Only by their star ratings D) By total yards, not yards per carry

Question 13

The "ceiling" vs. "floor" evaluation framework considers:

A) Maximum and minimum possible heights B) Best-case and worst-case development outcomes C) Scholarship limits D) Early enrollment dates

Question 14

Film evaluation is particularly valuable for assessing:

A) Measurable physical traits B) Technique, instincts, and mental processing C) Academic eligibility D) Injury history

Question 15

For a quarterback prospect, which combination of traits is most predictive of college success?

A) Raw arm strength and height B) Processing speed, accuracy, and decision-making C) 40-yard dash time and vertical jump D) High school team's record

Question 16

The term "projection" in prospect evaluation refers to:

A) Predicting future statistics B) Estimating growth potential beyond current abilities C) Forecasting draft position D) Calculating scholarship value

Question 17

Why is recruiting analytics more uncertain than professional player evaluation?

A) Less game film available B) Players still physically developing C) Smaller sample of competitive play D) All of the above

Section 3: Recruiting Class Analysis (Questions 18-24)

Question 18

The scholarship limit per year in FBS football is typically:

A) 15 players B) 20 players C) 25 players D) 30 players

Question 19

When building a recruiting class, "position need" should be balanced with:

A) Best player available (BPA) strategy B) Geographic distribution C) Signing day timing D) Rival school targets

Question 20

A program with a "critical need" at offensive line should:

A) Only recruit offensive linemen B) Prioritize OL but not ignore BPA talent C) Wait until the transfer portal D) Over-sign at the position

Question 21

The typical development timeline for an offensive lineman to become a starter is:

A) Freshman year B) 1-2 years C) 2-3 years D) 4+ years

Question 22

Which class composition metric is most correlated with championship contention?

A) Total class size B) Average star rating C) Blue chip ratio above 50% D) Number of early enrollees

Question 23

The "early signing period" in December has changed recruiting by:

A) Eliminating late visits B) Compressing evaluation timelines C) Reducing transfers D) Increasing class sizes

Question 24

Class points are calculated primarily based on:

A) Total number of commits B) Sum of composite ratings C) Position distribution D) Commit date timing

Section 4: Transfer Portal (Questions 25-28)

Question 25

Transfer portal evaluation differs from high school evaluation primarily because:

A) Transfers have no measurable data B) College film and statistics are available C) Transfers cannot receive scholarships D) Ratings no longer apply

Question 26

A "step down" in transfer portal terminology means:

A) Moving to a lower position on depth chart B) Transferring to a lower-tier program C) Losing scholarship money D) Losing eligibility

Question 27

Which factor is LEAST predictive of transfer success?

A) Original recruiting ranking B) Production at original school C) Distance from hometown D) Years of eligibility remaining

Question 28

The transfer portal has most significantly impacted recruiting of:

A) Freshmen only B) All positions equally C) High-need positions and immediate contributors D) Only quarterbacks

Section 5: Recruiting Efficiency (Questions 29-35)

Question 29

"Development efficiency" measures:

A) How quickly recruits become starters B) Actual outcomes vs. expected outcomes based on ratings C) Recruiting budget usage D) Class ranking year over year

Question 30

A program with development efficiency > 1.0:

A) Produces more starters than expected from recruiting ratings B) Has above-average recruiting classes C) Spends efficiently on recruiting travel D) Signs players earlier than competitors

Question 31

The historical rate at which 4-star recruits become NFL draft picks is approximately:

A) 5% B) 22% C) 45% D) 65%

Question 32

Which metric best evaluates recruiting ROI for a program?

A) Class rankings alone B) Starters and all-conference players produced relative to recruiting rankings C) Total scholarship spending D) Number of official visits hosted

Question 33

Programs that consistently over-perform their recruiting typically excel at:

A) Signing higher-rated recruits B) Player development and scheme fit C) Geographic advantages D) Hiring celebrity coaches

Question 34

The correlation between composite recruiting rating and becoming an NFL draft pick is approximately:

A) 0.15-0.20 B) 0.35-0.45 C) 0.55-0.65 D) 0.75-0.85

Question 35

When comparing recruiting efficiency across programs, the most important control variable is:

A) Conference affiliation B) Stadium size C) Baseline expected outcomes from recruiting ratings D) Coaching salary

Answer Key

Section 1: Recruiting Data and Ratings

  1. B - About 30 players receive 5-star ratings nationally
  2. B - Ratio of 4 and 5-star players to total roster
  3. B - Self-reported measurables create quality uncertainty
  4. B - 0.9850 typically indicates a high 4-star
  5. D - All factors make direct comparison difficult
  6. A - After 1-2 seasons of college play
  7. C - Offensive tackle has strongest height correlation
  8. B - Whether rating services have seen game film
  9. B - Combines ratings from 247, Rivals, ESPN, On3
  10. B - Players from smaller states with less exposure

Section 2: Prospect Evaluation

  1. B - Use position-specific ideal ranges
  2. B - After applying competition-level adjustments
  3. B - Best-case and worst-case development outcomes
  4. B - Technique, instincts, and mental processing
  5. B - Processing speed, accuracy, and decision-making
  6. B - Estimating growth potential beyond current abilities
  7. D - All factors increase uncertainty

Section 3: Recruiting Class Analysis

  1. C - 25 players per year
  2. A - Best player available (BPA) strategy
  3. B - Prioritize OL but don't ignore BPA
  4. C - 2-3 years typical for OL development
  5. C - Blue chip ratio above 50%
  6. B - Compressing evaluation timelines
  7. B - Sum of composite ratings

Section 4: Transfer Portal

  1. B - College film and statistics are available
  2. B - Transferring to a lower-tier program
  3. C - Distance from hometown is least predictive
  4. C - High-need positions and immediate contributors

Section 5: Recruiting Efficiency

  1. B - Actual outcomes vs. expected based on ratings
  2. A - Produces more starters than expected
  3. B - Approximately 22% of 4-stars are drafted
  4. B - Starters and all-conference relative to rankings
  5. B - Player development and scheme fit
  6. B - Correlation approximately 0.35-0.45
  7. C - Baseline expected outcomes from recruiting ratings

Scoring Guide

  • 30-35 correct: Excellent! Ready for professional recruiting analytics
  • 24-29 correct: Good understanding, review weak areas
  • 18-23 correct: Solid foundation, more practice needed
  • Below 18: Review chapter material before proceeding