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Peter Unger Elite Prospects ↗

Position: Forward DOB: 2004-01-27 Country: USA
No commitment set

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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 Frederick Gunn NE-Prep 34 8 9 17 0.500 0.0990 0.0990 0.2278 0.2278
2022-23 Frederick Gunn NE-Prep 36 7 13 20 0.556 0.1101 0.1101 0.2531 0.2531
2023-24 New York Apple Core EHL 45 26 32 58 1.289 0.2977 0.2972 0.6307 0.6295
■ 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 Keene State D3 LittleEast SO 22 5 12 17 0.773
2024-25 Keene State D3 LittleEast — 23 9 13 22 0.957
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.96
2024-25 · Keene State
+402.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D2/D3
2%
Club / ACHA
10%
Other

NCAAe Rankings

#17241
Forward overall
#854
Forward born in 2004

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 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

Carlos Fornaris
New England College · 2014-15
1.115 Elite
actual D2/3 PPG
Matt Hughes
Finlandia · 2007-08
1.286 Elite
actual D2/3 PPG
Steve Gervais
Neumann · 2008-09
0.625 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.