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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 0.0688 0.0712 0.1961 0.2029
2013-14 Soo Eagles NAHL 57 7 18 25 0.439 0.1629 0.1603 0.4644 0.4571
2014-15 Soo Eagles NAHL 60 18 18 36 0.600 0.2228 0.2076 0.6353 0.5920
■ 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
+250.9% vs. projection

NCAAe Rankings

#24568
Forward overall
#989
Forward born in 1994
#2661
in NAHL

D1 Comparables

Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG

D2/3 Comparables

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
Spencer Korona
Trinity · 2021-22
0.520 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.