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Andrue Trelstad Elite Prospects ↗

Position: Forward DOB: 1999-02-24 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
2014-15 Chisago Lakes High USHS-MN 19 3 5 8 0.421 0.0533 0.0559 0.1023 0.1073
2016-17 Minnesota Mullets USPHL-Elite 17 6 9 15 0.882 0.0814 0.0871 0.2021 0.2162
2017-18 Minnesota Mullets USPHL-Premier 40 11 26 37 0.925 0.1210 0.1237 0.3139 0.3210
2018-19 Texas Jr. Brahmas NA3HL 44 14 26 40 0.909 0.1141 0.1100 0.2870 0.2766
2019-20 Texas Jr. Brahmas NA3HL 43 22 39 61 1.419 0.1780 0.1780 0.4479 0.4479
■ 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
2020-21 Wisconsin-Stout D1 BigTen FR 2 1 0 1 0.500
2020-21 Wisconsin-Stout D3 BigTen FR 2 1 0 1 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.50
2020-21 · Wisconsin-Stout
+405.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
62%
Other

NCAAe Rankings

#17609
Forward overall
#845
Forward born in 1999

D1 Comparables

Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG

D2/3 Comparables

Shane Beaulieu
SUNY Cortland · 2016-17
0.375 Average
actual D2/3 PPG
Joe Gori
SUNY Plattsburgh · 2002-03
0.357 Average
actual D2/3 PPG
David Moncur
Wisconsin-Superior · 2003-04
0.360 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.