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Tanner Rowe Elite Prospects ↗

Position: Forward DOB: 2002-08-26 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
2020-21 Maryland Black Bears NAHL 38 6 3 9 0.237 0.0870 0.0870 0.2499 0.2499
2021-22 Omaha Lancers USHL 56 4 7 11 0.196 0.1159 0.1122 0.5899 0.5711
2022-23 Omaha Lancers USHL 58 6 9 15 0.259 0.1525 0.1397 0.7767 0.7115
■ 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 Ferris State D1 CCHA JR 29 1 3 4 0.138
2024-25 Michigan D1 BigTen — 20 0 0 0 0.000
2023-24 Michigan D1 BigTen — 25 1 0 1 0.040
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.04
2023-24 · Michigan
-63.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
10%
NCAA D2/D3
57%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#40182
Forward overall
#2503
Forward born in 2002

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Mac Olson
Hobart · 2011-12
0.846 Strong
actual D2/3 PPG
Phil Cherneski
Wisconsin-Eau Claire · 2000-01
0.739 Strong
actual D2/3 PPG
Teddy Purcell
SUNY Geneseo · 2005-06
0.550 Average
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.