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Blake Mitchell Elite Prospects ↗

Position: Forward DOB: 2004-09-18 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2022-23 Yellowstone Quake NA3HL 45 5 12 17 0.378 0.0474 0.0498 0.1193 0.1253
2023-24 Peoria Mustangs NA3HL 42 11 18 29 0.691 0.0867 0.0869 0.2180 0.2184
2024-25 West Bend Power NA3HL 45 8 16 24 0.533 0.0669 0.0636 0.1684 0.1600
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 University of Toledo ACHA_D1 — — 6 0 0 0 0.000
2024-25 University of Toledo ACHA_D1 — — 6 0 0 0 0.000
2023-24 University of Toledo ACHA_D1 — — 6 0 0 0 0.000
2022-23 University of Toledo ACHA_D1 — — 6 0 0 0 0.000
2021-22 University of Toledo ACHA_D1 — — 6 0 0 0 0.000
2020-21 University of Toledo ACHA_D1 — — 6 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
5%
Club / ACHA
0%
Other

NCAAe Rankings

#41498
Forward overall
#2705
Forward born in 2004
#2199
in NA3HL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Jack Lamothe
Johnson & Wales · 2023-24
0.000 No data
actual D2/3 PPG
Bryan Platt
Manhattanville · 2014-15
0.333 Developing
actual D2/3 PPG
Chase Sechrist
Salem State · 2022-23
0.167 Developing
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.