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Peter Morgan Elite Prospects ↗

Position: Forward DOB: 2000-05-28 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
2018-19 Aberdeen Wings NAHL 39 9 12 21 0.538 0.2134 0.2229 0.5654 0.5905
2019-20 — NAHL 50 17 28 45 0.900 0.3566 0.3566 0.9449 0.9449
2020-21 Kenai River Brown Bears NAHL 44 13 26 39 0.886 0.3512 0.3512 0.9306 0.9306
■ 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 — SR 29 15 20 35 1.207
2023-24 SUNY Geneseo D3 SUNYAC JR 27 10 24 34 1.259
2022-23 SUNY Geneseo D3 SUNYAC SO 23 13 13 26 1.130
2021-22 SUNY Geneseo D3 SUNYAC FR 29 19 25 44 1.517
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
1.52
2021-22 · SUNY Geneseo
+695.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
62%
Pro / Other

NCAAe Rankings

#13752
Forward overall
#567
Forward born in 2000
#582
in NAHL

D1 Comparables

Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.24 Average
NCAAe PPG
Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.24 Elite
NCAAe PPG
Alex Rauter
USHL · 2012-13 · 0.41 PPG
→ Cornell (0.40 D1 FR PPG)
0.25 Average
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.21 Average
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Steve Schroeder
Norwich · 2006-07
0.742 Strong
actual D2/3 PPG
Nicky Cozzi
Skidmore · 2018-19
0.000 No data
actual D2/3 PPG
Brian Scoville
Utica · 2017-18
0.586 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.