Usage Score
28.4
Player Dossier
2019-2024Illinois
WR • 6'1" • 190 lbs • Cedar Hill, TX, USA
Zakhari Franklin reads as a alpha target based on recent role and receiving efficiency.
Usage Score
28.4
Efficiency
80.9
Consistency
78
Season Value
61.6
Career Arc
Value trend by season
Best season by value score: 2022 Postseason · UTSA
Snapshot
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.
Zakhari Franklin, WR. Best season Best season by value score: 2022 Postseason · UTSA. Zakhari Franklin reads as a alpha target based on recent role and receiving efficiency.
Zakhari Franklin played WR for UTSA, Ole Miss, and Illinois. Across 6 tracked seasons, Zakhari Franklin recorded 8 rushing yards, 4,045 receiving yards, and 3 tackles. His top tracked season came in 2022 with UTSA.
Lead takeaway
Best season by value score: 2022 Postseason
UTSA paired 1,137 primary output with 76.6 efficiency.
Supporting note
2024 Postseason role shape
target-driven usage with 80.9 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 3 team stops, with role shifts visible across UTSA, Ole Miss, Illinois.
Supporting note
Peak game by takeover score: Kansas
Win with an explosive receiving profile. It landed in the 100th percentile of the selected season.
Analysis workspace
Filter the strongest season sample, inspect game-level shape, and then drop into the full log without losing the story of the year.
Understand the selected season before dropping into the full game log.
Games
12
Receiving Yards / G
54.8
Efficiency
80.9
Usage
28.4
Consistency
78
Best Game by takeover score
South Carolina
Active game
Hover over a point
Hover or select a game to keep its context visible here without the page shifting around.
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. South Carolina: 39. Unknown: 28. Kansas: 99. Central Michigan: 66. Nebraska: 50. Penn State: 49. Purdue: 60. Michigan: 26. Oregon: 72. Minnesota: 71. Michigan State: 44. Northwestern: 54
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. South Carolina: 4 by 65. Unknown: 2 by 93.3. Kansas: 9 by 73.3. Central Michigan: 5 by 88. Nebraska: 5 by 66.7. Penn State: 4 by 81.7. Purdue: 4 by 100. Michigan: 2 by 86.7. Oregon: 6 by 80. Minnesota: 5 by 94.7. Michigan State: 7 by 41.9. Northwestern: 3 by 100
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Dense stat lines with inline explanations and season-linked highlights.
12 games
Featured metric
Receiving Yards
Top game by takeover score
Kansas
Best efficiency game
100 vs Northwestern
| Result | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Tue 12/31 | vs South Carolina | W 21-17 | — | 4 | 39 | 9.8 | 9.80 | 1 | 15 |
| Sat 11/30 | @ Northwestern | W 38-28 | — | 3 | 54 | 18 | 18 | 0 | 43 |
| Sat 11/16 | vs Michigan State | W 38-16 | — | 7 | 44 | 6.3 | 6.30 | 1 | 15 |
| Sat 11/2 | vs Minnesota | L 17-25 | — | 5 | 71 | 14.2 | 14.20 | 1 | 21 |
| Sat 10/26 | @ Oregon | L 9-38 | — | 6 | 72 | 12 | 12 | 0 | 44 |
| Sat 10/19 | vs Michigan | W 21-7 | — | 2 | 26 | 13 | 13 | 0 | 13 |
| Sat 10/12 | vs Purdue | W 50-49 | — | 4 | 60 | 15 | 15 | 1 | 27 |
| Sat 9/28 | @ Penn State | L 7-21 | — | 4 | 49 | 12.3 | 12.30 | 0 | 18 |
| Sat 9/21 | @ Nebraska | W 31-24 | — | 5 | 50 | 10 | 10 | 0 | 17 |
| Sat 9/14 | vs Central Michigan | W 30-9 | — | 5 | 66 | 13.2 | 13.20 | 0 | 23 |
| Sat 9/7 | vs KansasHigh volume | W 23-17 | — | 9 | 99 | 11 | 11 | 0 | 42 |
| Fri 8/30 | vs Unknown | — | — | 2 | 28 | 14 | 14 | 0 | 16 |
Track team changes, role shifts, and season-to-season movement.
UTSA
2019-2022
Opening stop
Ole Miss
2023
Peak year stop
Illinois
2024
Final stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2019 Regular Season | UTSA | 491 | 67.8 | 23.3 | — |
| 2020 Postseason | UTSA | 694 | 75.9 | 27.8 | 203 |
| 2020 Regular Season | UTSA | 694 | 75.9 | 27.8 | 0 |
| 2021 Postseason | UTSA | 1,027 | 75.3 | 30.8 | 333 |
| 2021 Regular Season | UTSA | 1,027 | 75.3 | 30.8 | 0 |
| 2022 Postseason | UTSA | 1,137 | 76.6 | 27.5 | 110 |
| 2022 Regular Season | UTSA | 1,137 | 76.6 | 27.5 | 0 |
| 2023 Regular Season | Ole Miss | 38 | 65.6 | 9.5 | -1,099 |
| 2024 Postseason | Illinois | 658 | 80.9 | 28.4 | 620 |
| 2024 Regular Season | Illinois | 658 | 80.9 | 28.4 | 0 |
#1 Featured game
Illinois
Win with an explosive receiving profile.
155
Primary metric
155 receiving yards with a 100 efficiency score.
#2
Army
138
Primary metric
Loss with an explosive receiving profile.
138 receiving yards with a 76.7 efficiency score.
#3
Old Dominion
134
Primary metric
Win with an explosive receiving profile.
134 receiving yards with a 100 efficiency score.
#4
UTEP
126
Primary metric
Win with an explosive receiving profile.
126 receiving yards with a 100 efficiency score.
#5
Kansas
99
Primary metric
Win with an explosive receiving profile.
99 receiving yards with a 73.3 efficiency score.
#1 Season by value score
2022 Postseason · UTSA
1,137 primary output · 76.6 efficiency · 27.5 usage
69.8
#2
2022 Regular Season · UTSA
69.8
1,137 primary · 76.6 efficiency · 27.5 usage
#3
2021 Postseason · UTSA
67.6
1,027 primary · 75.3 efficiency · 30.8 usage
13
100+ receiving yards
10
8+ catch outings
9
2+ TD games
Recruit Profile
Class 2019 · Rating 0.7956
Cedar Hill · Cedar Hill, TX
Career Facts
3
Career teams
10
Seasons tracked
4,045
Career Receiving Yards
Data Context
Coverage spans 10 tracked seasons, 61 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.