Usage Score
35.2
Player Dossier
2022-2025Tulane
Makhi Hughes
RB • 5'11" • 210 lbs • Birmingham, AL, USA
Balanced backfield optionSteady chain mover
Makhi Hughes leans balanced backfield option traits and 44.4 efficiency.
Efficiency
55.8
Consistency
76.7
Season Value
65
Career Arc
Value trend by season
Best season by value score: 2023 Postseason · Tulane
222323242425
Snapshot
- Career Teams
- 2
- Seasons Tracked
- 6
- Program Path
- Tulane • Oregon
- Peak Game
- Peak game by takeover score: North Texas
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.
Makhi Hughes, RB. Best season Best season by value score: 2023 Postseason · Tulane. Makhi Hughes leans balanced backfield option traits and 44.4 efficiency.
Player insights
Lead takeaway
Best season by value score: 2023 Postseason
Tulane paired 1,445 primary output with 55.8 efficiency.
Supporting note
2023 Postseason role shape
backfield-heavy usage with 55.8 efficiency.
Supporting note
Career value cooled off
2025 Regular Season fell back from the prior stop by season value score.
Supporting note
Multi-stop career journey
Production spans 2 team stops, with role shifts visible across Tulane, Oregon.
Supporting note
Peak game by takeover score: UTSA
Win driven by a workhorse rushing load. 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.
2023 Postseason · Tulane
Games
14
Scrimmage Yards / G
103.2
Efficiency
55.8
Usage
35.2
Consistency
76.7
Best Game by takeover score
Virginia Tech
Hover a point or expand a game row to keep the active game context visible here.
Game-by-Game Trend
1234567891011121314
Chronological game order.
Game by game trend chart. Virginia Tech: 88. South Alabama: 41. Ole Miss: 98. Southern Miss: 83. Unknown: 32. UAB: 130. Memphis: 130. North Texas: 134. Rice: 165. East Carolina: 106. Tulsa: 139. Florida Atlantic: 81. UTSA: 166. SMU: 52
Volume vs Efficiency
Low volume / high quality
High volume / high quality
Low volume / lower quality
High volume / lower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. Virginia Tech: 15 by 61.1. South Alabama: 8 by 53.4. Ole Miss: 24 by 42. Southern Miss: 14 by 61.8. Unknown: 6 by 58.5. UAB: 23 by 58.5. Memphis: 26 by 52.1. North Texas: 22 by 63.2. Rice: 24 by 70.2. East Carolina: 26 by 43.2. Tulsa: 20 by 72.1. Florida Atlantic: 23 by 36.1. UTSA: 26 by 66.5. SMU: 12 by 43.1
Split Comparison
Wins117.5 · n=10 · +38.2 vs Losses
Losses79.3 · n=3 · -38.2 vs Wins
First Half86 · n=7 · -34.4 vs Second Half
Second Half120.4 · n=7 · +34.4 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
14 games
Featured metric
Scrimmage Yards
Top game by takeover score
UTSA
Best efficiency game
72.1 vs Tulsa
| Result | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Wed 12/27 | vs Virginia Tech | L 20-41 | 15 | 88 | 5.90 | 0 | — | — | 5.9 |
| Sat 12/2 | vs SMU | L 14-26 | 11 | 44 | 4 | 0 | 1 | 8 | 4.3 |
| Fri 11/24 | vs UTSA100 rush yards · 150 scrimmage yards | W 29-16 | 26 | 166 | 6.40 | 1 | — | — | 6.4 |
| Sat 11/18 | @ Florida Atlantic | W 24-8 | 21 | 72 | 3.40 | 0 | 2 | 9 | 3.5 |
| Sat 11/11 | vs Tulsa100 rush yards | W 24-22 | 19 | 131 | 6.90 | 1 | 1 | 8 | 7.0 |
| Sat 11/4 | @ East Carolina100 rush yards | W 13-10 | 25 | 105 | 4.20 | 0 | 1 | 1 | 4.1 |
| Sat 10/28 | @ Rice100 rush yards · 150 scrimmage yards | W 30-28 | 23 | 153 | 6.70 | 0 | 1 | 12 | 6.9 |
| Sat 10/21 | vs North Texas100 rush yards | W 35-28 | 20 | 121 | 6.10 | 1 | 2 | 13 | 6.1 |
| Fri 10/13 | @ Memphis100 rush yards | W 31-21 | 26 | 130 | 5 | 1 | — | — | 5 |
| Sat 9/30 | vs UAB100 rush yards · 2+ TD | W 35-23 | 22 | 123 | 5.60 | 2 | 1 | 7 | 5.7 |
| Sat 9/23 | vs Unknown | — | 5 | 29 | 5.80 | 0 | 1 | 3 | 5.3 |
| Sat 9/16 | @ Southern Miss | W 21-3 | 14 | 83 | 5.90 | 0 | — | — | 5.9 |
| Sat 9/9 | vs Ole Miss | L 20-37 | 23 | 92 | 4 | 1 | 1 | 6 | 4.1 |
| Sun 9/3 | vs South Alabama | W 37-17 | 8 | 41 | 5.10 | 0 | — | — | 5.1 |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Tulane
2022-2024
Opening stop
- 2
Oregon
2025
Final stop
Season Progression
202220232023202420242025
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2022 Regular Season | Tulane | 0 | — | — | — |
| 2023 Postseason | Tulane | 1,445 | 55.8 | 35.2 | 1,445 |
| 2023 Regular Season | Tulane | 1,445 | 55.8 | 35.2 | 0 |
| 2024 Postseason | Tulane | 1,577 | 53.9 | 36.8 | 132 |
| 2024 Regular Season | Tulane | 1,577 | 53.9 | 36.8 | 0 |
| 2025 Regular Season | Oregon | 94 | 44.4 | 8 | -1,483 |
Signature Performances
Top Games
#1 Featured game
North Texas
Win driven by a workhorse rushing load.
203
Primary metric
203 scrimmage yards and 54.4 usage.
#2
UTSA
166
Primary metric
Win driven by a workhorse rushing load.
166 scrimmage yards and 52 usage.
#3
Rice
165
Primary metric
Win driven by a workhorse rushing load.
165 scrimmage yards and 38.7 usage.
#4
Louisiana
166
Primary metric
Win driven by a workhorse rushing load.
166 scrimmage yards and 39.7 usage.
#5
Rice
169
Primary metric
Win driven by a workhorse rushing load.
169 scrimmage yards and 54.9 usage.
Top Seasons
#1 Season by value score
2023 Postseason · Tulane
1,445 primary output · 55.8 efficiency · 35.2 usage
65
#2
2023 Regular Season · Tulane
65
1,445 primary · 55.8 efficiency · 35.2 usage
#3
2024 Postseason · Tulane
64.4
1,577 primary · 53.9 efficiency · 36.8 usage
Milestones
14
100+ rush yards
7
150+ scrimmage yards
7
2+ TD games
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2022 · Rating 0.8541
Huffman · Birmingham, AL
- Committed To
- Tulane
- Commit Date
- Jan 1, 2022
Career Facts
2
Career teams
6
Seasons tracked
3,116
Career Scrimmage Yards
Data Context
Coverage spans 6 tracked seasons, 32 games, and SP opponent-strength context when available. Derived metrics fall back to raw production when share or rating context is missing.