Usage Score
4.3
Player Dossier
2013-2017Memphis
Christian Johnson
DL • 6'5" • 270 lbs • Memphis, TN, USA
Ball-hunting defenderSplash play profile
Christian Johnson shows a ball-hunting defender profile with 15.4 disruption score.
Efficiency
15.4
Consistency
11.1
Season Value
16
Career Arc
Value trend by season
Best season by value score: 2017 Postseason · Memphis
13141516161717
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 7
- Program Path
- Memphis
- Peak Game
- Peak game by takeover score: Tulane
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.
Christian Johnson, DL. Best season Best season by value score: 2017 Postseason · Memphis. Christian Johnson shows a ball-hunting defender profile with 15.4 disruption score.
Player insights
Lead takeaway
Best season by value score: 2017 Postseason
Memphis paired 8 primary output with 15.4 efficiency.
Supporting note
2017 Postseason role shape
impact-led usage with 15.4 efficiency.
Supporting note
Career value stayed steady
2017 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Tulane
Win with 3 impact plays across the defensive snap sheet. 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.
2017 Postseason · Memphis
Games
12
Havoc Plays / G
0.7
Efficiency
15.4
Usage
4.3
Consistency
11.1
Best Game by takeover score
Iowa State
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.
Chronological game order.
Game by game trend chart. Iowa State: 1. UL Monroe: 0. UCLA: 0. Unknown: 0. UCF: 0. UConn: 2. Navy: 0. Houston: 0. Tulane: 3. Tulsa: 2. SMU: 0. UCF: 0
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. Iowa State: 2 by 18.3. UL Monroe: 1 by 4.2. UCLA: 0 by 0. Unknown: 1 by 4.2. UCF: 2 by 8.3. UConn: 4 by 36.7. Navy: 1 by 4.2. Houston: 4 by 16.7. Tulane: 4 by 46.7. Tulsa: 2 by 28.3. SMU: 3 by 12.5. UCF: 1 by 4.2
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins0.9 · Games = 8 · +0.5 vs Losses
Losses0.3 · Games = 3 · -0.5 vs Wins
First Half0.5 · Games = 6 · -0.3 vs Second Half
Second Half0.8 · Games = 6 · +0.3 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
12 games
Featured metric
Havoc Plays
Top game by takeover score
Tulane
Best efficiency game
46.7 vs Tulane
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 12/30 | vs Iowa State | L 20-21 | 2 | 1 | — | 1 | 0 | — | 0 | — | — |
| Sat 12/2 | @ UCF | L 55-62 | 1 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/18 | vs SMU | W 66-45 | 3 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/4 | @ Tulsa | W 41-14 | 2 | 1 | — | 1 | 1 | — | 0 | — | — |
| Sat 10/28 | vs Tulane | W 56-26 | 4 | 3 | — | 1.50 | 1.50 | — | 0 | — | — |
| Fri 10/20 | @ Houston | W 42-38 | 4 | 3 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/14 | vs Navy | W 30-27 | 1 | 1 | — | 0 | 0 | — | 0 | — | — |
| Fri 10/6 | @ UConn | W 70-31 | 4 | 4 | — | 1 | 1 | — | 0 | — | — |
| Sat 9/30 | @ UCF | L 13-40 | 2 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sun 9/24 | vs Unknown | — | 1 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/16 | vs UCLA | W 48-45 | 0 | 0 | — | 0 | 0 | — | 0 | — | — |
| Fri 9/1 | vs UL Monroe | W 37-29 | 1 | 0 | — | 0 | 0 | — | 0 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Memphis
2013-2017
Opening stop
Season Progression
2013201420152016201620172017
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2013 Regular Season | Memphis | 0 | — | — | — |
| 2014 Regular Season | Memphis | 0 | — | — | 0 |
| 2015 Regular Season | Memphis | 0 | — | — | 0 |
| 2016 Postseason | Memphis | 6 | 13.9 | 4.5 | 6 |
| 2016 Regular Season | Memphis | 6 | 13.9 | 4.5 | 0 |
| 2017 Postseason | Memphis | 8 | 15.4 | 4.3 | 2 |
| 2017 Regular Season | Memphis | 8 | 15.4 | 4.3 | 0 |
Signature Performances
Top Games
#1 Featured game
Tulane
Win with 3 impact plays across the defensive snap sheet.
3
Primary metric
3 disruption/tackle impact with 52.4 takeover score.
#2
Houston
2
Primary metric
Win with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 44.7 takeover score.
#3
Western Kentucky
2
Primary metric
Loss with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 43.7 takeover score.
#4
UConn
2
Primary metric
Win with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 38.9 takeover score.
#5
Tulsa
2
Primary metric
Win with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 35.5 takeover score.
Top Seasons
#1 Season by value score
2017 Postseason · Memphis
8 primary output · 15.4 efficiency · 4.3 usage
16
#2
2017 Regular Season · Memphis
16
8 primary · 15.4 efficiency · 4.3 usage
#3
2016 Postseason · Memphis
14.2
6 primary · 13.9 efficiency · 4.5 usage
Milestones
0
Impact games
0
Splash games
0
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
2★
Class 2013 · Rating 0.7683
Southwind · Memphis, TN
- Committed To
- Memphis
- Commit Date
- Jan 1, 2013
Career Facts
1
Career teams
7
Seasons tracked
44
Career Tackles
Data Context
Coverage spans 7 tracked seasons, 22 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.