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Trenton Penner Elite Prospects ↗

Position: Forward DOB: 2003-02-23 Country: Canada
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
2019-20 Winkler Flyers MJHL 1 0 0 0 0.000 — — — —
2020-21 Winkler Flyers MJHL 5 0 2 2 0.400 0.0770 0.0770 0.2522 0.2522
2021-22 Winkler Flyers MJHL 46 6 6 12 0.261 0.0502 0.0511 0.1645 0.1674
2022-23 Winkler Flyers MJHL 54 28 20 48 0.889 0.1711 0.1661 0.5605 0.5441
2023-24 Winkler Flyers MJHL 56 29 49 78 1.393 0.2681 0.2462 0.8784 0.8067
■ 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 Alaska Fairbanks D1 WCHA SO 6 0 0 0 0.000
2024-25 Alaska Fairbanks D1 WCHA — 10 0 1 1 0.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.10
2024-25 · Alaska Fairbanks
-45.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
8%
NCAA D2/D3
50%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#19681
Forward overall
#1013
Forward born in 2003
#155
in MJHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Corey Kennedy
Neumann · 2015-16
0.500 Average
actual D2/3 PPG
Ricky Carballo
Endicott · 2017-18
0.857 Strong
actual D2/3 PPG
Arvega Hovsepyan
Salve Regina · 2023-24
1.385 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.