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Bradley Pung Elite Prospects ↗

Position: Forward DOB: 1994-04-20 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
2012-13 — NAHL 27 3 2 5 0.185 0.0680 0.0703 0.1955 0.2022
2013-14 Soo Eagles NAHL 57 7 18 25 0.439 0.1611 0.1586 0.4629 0.4556
2014-15 Soo Eagles NAHL 60 18 18 36 0.600 0.2204 0.2054 0.6333 0.5902
■ 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
2018-19 St. Norbert D3 NCHA SR 26 6 14 20 0.769
2017-18 St. Norbert D3 NCHA JR 32 8 10 18 0.562
2016-17 St. Norbert D3 NCHA SO 29 7 11 18 0.621
2015-16 St. Norbert D3 NCHA FR 30 6 11 17 0.567
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.57
2015-16 · St. Norbert
+254.6% vs. projection

NCAAe Rankings

#31119
Forward overall
#1193
Forward born in 1994
#2860
in NAHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
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

Thor Hansen
Keene State · 2023-24
0.708 Strong
actual D2/3 PPG
Brodie Tutton
SUNY Geneseo · 2014-15
0.500 Average
actual D2/3 PPG
Casey Roepke
Milwaukee School of Engineering · 2022-23
0.731 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.