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Miles Harrington Elite Prospects ↗

Position: Forward DOB: 2002-10-04 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 Maine Nordiques NAHL 1 0 0 0 0.000 — — — —
2021-22 Danbury Jr. Hat Tricks NAHL 57 6 10 16 0.281 0.0997 0.1011 0.2961 0.3003
2022-23 — NAHL 55 3 3 6 0.109 0.0388 0.0374 0.1151 0.1111
■ 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 Wilkes D3 MAC GR 22 2 3 5 0.227
2024-25 Wilkes D3 MAC SR 26 6 7 13 0.500
2023-24 Wilkes D3 MAC JR 24 4 3 7 0.292
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.29
2023-24 · Wilkes
+442.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
18%
NCAA D2/D3
65%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#53146
Forward overall
#3483
Forward born in 2002
#6101
in NAHL

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Turk Scatliff
Concordia · 2014-15
0.000 No data
actual D2/3 PPG
Dominic Chirico
SUNY Brockport · 2021-22
0.182 Developing
actual D2/3 PPG
Brandon Leitz
Saint John's · 2018-19
0.200 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.