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Nicklas Millhorn Elite Prospects ↗

Position: Forward DOB: 2002-02-26 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
2021-22 Toledo Cherokee USPHL-Premier 43 31 17 48 1.116 0.1460 0.1421 0.3789 0.3687
2022-23 Toledo Cherokee USPHL-Premier 43 45 37 82 1.907 0.2494 0.2304 0.6472 0.5979
■ 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 Fitchburg State D3 MASCAC GR 26 6 7 13 0.500
2024-25 Fitchburg State D3 MASCAC SR 26 12 5 17 0.654
2023-24 Fitchburg State D3 MASCAC JR 14 4 2 6 0.429
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.43
2023-24 · Fitchburg State
+156.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#5338
Forward overall
#226
Forward born in 2002
#114
in USPHL-Premier

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Troy Boisjoli
St. Norbert · 2002-03
0.435 Average
actual D2/3 PPG
Eric Berglund
Manhattanville · 2014-15
0.696 Strong
actual D2/3 PPG
Nicholas Gray
Johnson & Wales · 2015-16
0.652 Strong
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.