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Eric Brenk Elite Prospects ↗

Position: Forward DOB: 1994-04-29 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
2011-12 Sioux Falls Stampede USHL 43 2 5 7 0.163 0.1037 0.1089 0.4879 0.5124
2012-13 St. Cloud Norsemen NAHL 59 22 22 44 0.746 0.2769 0.2868 0.7897 0.8179
2013-14 — NAHL 61 21 22 43 0.705 0.2617 0.2579 0.7463 0.7355
2014-15 Jersey Hitmen USPHL-Premier-Classic 48 22 32 54 1.125 0.3378 0.3219 0.9267 0.8832
■ 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 Augsburg D3 MIAC SR 25 8 15 23 0.920
2017-18 Augsburg D3 MIAC JR 25 9 8 17 0.680
2016-17 Augsburg D3 MIAC SO 27 16 7 23 0.852
2015-16 Augsburg D3 MIAC FR 25 9 5 14 0.560
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.56
2015-16 · Augsburg
+120.8% vs. projection

NCAAe Rankings

#10484
Forward overall
#424
Forward born in 1994

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Dennis Sicard
Buffalo State · 2005-06
0.643 Average
actual D2/3 PPG
Andy Willock
SUNY Plattsburgh · 2005-06
0.727 Strong
actual D2/3 PPG
Shane Remenda
SUNY Plattsburgh · 2002-03
0.655 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.