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Neil Trimm Elite Prospects ↗

Position: Forward DOB: 1983-02-15 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
2000-01 Pembroke Lumber Kings CCHL 52 15 16 31 0.596 0.1293 0.1334 0.4613 0.4758
2001-02 Pembroke Lumber Kings CCHL 55 15 29 44 0.800 0.1735 0.1709 0.6190 0.6097
2002-03 Pembroke Lumber Kings CCHL 55 22 40 62 1.127 0.2445 0.2296 0.8722 0.8191
2003-04 Pembroke Lumber Kings CCHL 54 43 55 98 1.815 0.3936 0.3499 1.4041 1.2483
■ 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
2007-08 Neumann D3 MAC SR 23 15 30 45 1.956
2006-07 Neumann D3 MAC JR 27 18 49 67 2.482
2005-06 Neumann D3 MAC SO 25 18 27 45 1.800
2004-05 Neumann D3 MAC FR 10 10 8 18 1.800
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
1.80
2004-05 · Neumann
+596.9% vs. projection

NCAAe Rankings

#7768
Forward overall
#282
Forward born in 1983
#38
in CCHL

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
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

Stuart Stefan
Castleton · 2006-07
1.000 Elite
actual D2/3 PPG
Jonny Ruiz
Johnson & Wales · 2014-15
0.731 Strong
actual D2/3 PPG
Corey Stark
Wisconsin-Superior · 2005-06
1.038 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.