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Drew Olivieri Elite Prospects ↗

Position: Forward DOB: 2002-05-21 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 Worcester Jr. Railers EHL 45 13 26 39 0.867 0.1268 0.1289 0.4249 0.4318
2022-23 Seacoast Spartans EHL 45 34 39 73 1.622 0.2373 0.2288 0.7954 0.7670
■ 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 New England D3 — JR 28 19 23 42 1.500
2024-25 New England D3 — SO 27 11 24 35 1.296
2023-24 New England D3 — FR 6 1 0 1 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.17
2023-24 · New England
+3.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#6503
Forward overall
#300
Forward born in 2002
#41
in EHL

D1 Comparables

Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.51 Developing
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.50 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG

D2/3 Comparables

Robert Clerc
SUNY Potsdam · 2017-18
0.625 Average
actual D2/3 PPG
Arlen Marshall
Manhattanville · 2005-06
0.840 Strong
actual D2/3 PPG
Alex Laplante
New England College · 2018-19
0.704 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.