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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 0.0964 0.0964 0.2288 0.2288
2022-23 Frederick Gunn NE-Prep 36 7 13 20 0.556 0.1072 0.1072 0.2542 0.2542
2023-24 New York Apple Core EHL 45 26 32 58 1.289 0.1886 0.1883 0.6319 0.6307
■ 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
0.13
before college
→
Actual FR PPG
0.96
2024-25 · Keene State
+617.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D2/D3
2%
Club / ACHA
15%
Other

NCAAe Rankings

#16827
Forward overall
#839
Forward born in 2004

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Steve Gervais
Neumann · 2008-09
0.625 Average
actual D2/3 PPG
Carlos Fornaris
New England College · 2014-15
1.115 Elite
actual D2/3 PPG
Michael Parks
Finlandia · 2003-04
1.208 Elite
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.