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Stefan Miklakos Elite Prospects ↗

Position: Forward DOB: 2000-01-20 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
2017-18 New York Apple Core EHLP 3 1 2 3 1.000 0.1147 0.1178 0.2254 0.2314
2018-19 Avon Old Farms NE-Prep 26 15 14 29 1.115 0.2210 0.2210 0.5082 0.5082
2019-20 Lone Star Brahmas NAHL 34 6 1 7 0.206 0.0756 0.0756 0.2173 0.2173
2020-21 Lone Star Brahmas NAHL 24 0 2 2 0.083 0.0306 0.0306 0.0879 0.0879
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
2024-25 SUNY Geneseo D3 SUNYAC SR 20 4 8 12 0.600
2023-24 SUNY Geneseo D3 SUNYAC JR 25 7 9 16 0.640
2022-23 SUNY Geneseo D3 SUNYAC SO 24 15 9 24 1.000
2021-22 SUNY Geneseo D3 SUNYAC FR 26 5 3 8 0.308
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
Actual FR PPG
0.31
2021-22 · SUNY Geneseo
+100.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
85%
Other

NCAAe Rankings

#32774
Forward overall
#1676
Forward born in 2000

D1 Comparables

USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.46 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.28 Average
NCAAe PPG
USHL · 2012-13 · 0.43 PPG
→ Harvard (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.31 Strong
NCAAe PPG
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.14 Developing
NCAAe PPG

D2/3 Comparables

Curry · 2011-12
0.727 Strong
actual D2/3 PPG
SUNY Cortland · 2010-11
0.769 Strong
actual D2/3 PPG
Augsburg · 2013-14
0.966 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.