Player Dossier

2021-2024

TCU

JP Richardson

WR • 6'0" • 190 lbs • Missouri City, TX, USA

Vertical playmakerExplosive finisher

JP Richardson reads as a vertical playmaker based on recent role and receiving efficiency.

Usage Score

17.8

Efficiency

74

Consistency

63.2

Season Value

63.8

Career Arc

Value trend by season

Best season by Season Value: 2024 Postseason · TCU

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Snapshot

Career Teams
2
Seasons Tracked
7
Program Path
Oklahoma State • TCU
Peak Game
Peak game by takeover score: Arizona

Scouting Read

Best season and peak-game context are pinned here so the rest of the page can stay analytical without losing the headline story.

JP Richardson, WR. Best season Best season by Season Value: 2024 Postseason · TCU. JP Richardson reads as a vertical playmaker based on recent role and receiving efficiency.

JP Richardson played WR for Oklahoma State and TCU. Across 4 tracked seasons, JP Richardson recorded 32 passing yards, 4 rushing yards, and 1,940 receiving yards. His top tracked season came in 2024 with TCU.

Player insights

Lead takeaway

Best season by value score: 2024 Postseason

TCU paired 733 primary output with 74 efficiency.

Supporting note

2024 Postseason role shape

target-driven usage with 74 efficiency.

Supporting note

Career value stayed steady

2024 Regular Season tracked close to the prior stop by season value score.

Supporting note

Multi-stop career journey

Production spans 2 team stops, with role shifts visible across Oklahoma State, TCU.

Supporting note

Peak game by takeover score: Arizona

Win with an explosive receiving profile. It landed in the 100th percentile of the selected season.

Analysis workspace

Season Workbench

Filter the strongest season sample, inspect game-level shape, and then drop into the full log without losing the story of the year.

Season Explorer

Understand the selected season before dropping into the full game log.

2024 Postseason · TCU

Games

13

Receiving Yards / G

56.4

Efficiency

74

Usage

17.8

Consistency

63.2

Best Game by takeover score

Arizona

Hover a point or expand a game row to keep the active game context visible here.

Active game

Hover over a point

Hover or select a game to keep its context visible here without the page shifting around.

Game-by-Game Trend

Follow how the selected stat changes from one game to the next. Spikes mark standout outings, while dips show quieter weeks.

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Chronological game order.

Game by game trend chart. Louisiana: 53. Stanford: 107. Long Island University: 25. UCF: 46. SMU: 14. Kansas: 42. Houston: 98. Utah: 53. Texas Tech: 35. Baylor: 3. Oklahoma State: 100. Arizona: 107. Cincinnati: 50

Volume vs Efficiency

Each dot is a game. Farther right means the player carried more of the workload, and higher means they were more efficient with those chances.

Low volumeHigh quality

High volumeHigh quality

Low volumeLower quality

High volumeLower quality

Volume on the x-axis, quality on the y-axis.

Volume versus efficiency scatter chart. Louisiana: 5 by 70.7. Stanford: 6 by 100. Long Island University: 2 by 83.3. UCF: 5 by 61.3. SMU: 3 by 31.1. Kansas: 4 by 70. Houston: 9 by 72.6. Utah: 3 by 100. Texas Tech: 4 by 58.3. Baylor: 1 by 20. Oklahoma State: 7 by 95.2. Arizona: 6 by 100. Cincinnati: 2 by 100

Split Comparison

Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.

Wins63.6 · Games = 9 · +23.3 vs Losses
Losses40.3 · Games = 4 · -23.3 vs Wins

Game Log

Dense stat lines with inline explanations and season-linked highlights.

13 games

Featured metric

Receiving Yards

Top game by takeover score

Arizona

Best efficiency game

100 vs Cincinnati

Result
Sat 12/28vs LouisianaW 34-355310.610.60120
Sat 11/30@ CincinnatiW 20-132502525030
Sat 11/23vs Arizona100 receiving yardsW 49-28610717.817.80138
Sun 11/10vs Oklahoma State100 receiving yardsW 38-13710014.314.30034
Sun 11/3@ BaylorL 34-37133303
Sat 10/26vs Texas TechW 35-344358.88.80017
Sun 10/20@ UtahW 13-735317.717.70026
Fri 10/4vs HoustonHigh volumeL 19-3099810.910.90025
Sat 9/28@ KansasW 38-2744210.510.50020
Sat 9/21@ SMUL 42-663144.74.7007
Sat 9/14vs UCFL 34-355469.29.20023
Sun 9/8vs Long Island UniversityW 45-022512.512.50015
Sat 8/31@ Stanford100 receiving yardsW 34-27610717.817.80034

Career Arc

Track team changes, role shifts, and season-to-season movement.

  1. 1

    Oklahoma State

    2021-2022

    Opening stop

  2. 2

    TCU

    2023-2024

    Final stop

Season Value Progression

2021202120222022202320242024
SeasonTeamPrimaryEfficiencyUsageDelta
2021 PostseasonOklahoma State16850.517.3
2021 Regular SeasonOklahoma State16850.517.30
2022 PostseasonOklahoma State50361.717.4335
2022 Regular SeasonOklahoma State50361.717.40
2023 Regular SeasonTCU53667.814.733
2024 PostseasonTCU7337417.8197
2024 Regular SeasonTCU7337417.80

Signature Performances

Top Games

#1 Featured game

Arizona

Win with an explosive receiving profile.

107

Primary metric

107 receiving yards with a 100 efficiency score.

#2

Iowa State

90

Primary metric

Win with an explosive receiving profile.

90 receiving yards with a 100 efficiency score.

#3

Stanford

107

Primary metric

Win with an explosive receiving profile.

107 receiving yards with a 100 efficiency score.

#4

BYU

104

Primary metric

Win with an explosive receiving profile.

104 receiving yards with a 100 efficiency score.

#5

Oklahoma State

100

Primary metric

Win with an explosive receiving profile.

100 receiving yards with a 95.2 efficiency score.

Top Seasons

#1 Season by Season Value

2024 Postseason · TCU

733 primary output · 74 efficiency · 17.8 usage

63.8

#2

2024 Regular Season · TCU

63.8

733 primary · 74 efficiency · 17.8 usage

#3

2023 Regular Season · TCU

53.1

536 primary · 67.8 efficiency · 14.7 usage

Milestones

4

100+ receiving yards

1

8+ catch outings

0

2+ TD games

Bio, Recruit, and Data Context

Recruit context is not available for this player in the current dataset.

Career Facts

2

Career teams

7

Seasons tracked

1,940

Career Receiving Yards

Data Context

Coverage spans 7 tracked seasons, 44 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.