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Dillon Henningson Elite Prospects ↗

Position: Forward DOB: 1985-12-11 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
2003-04 La Ronge Ice Wolves SJHL 55 9 20 29 0.527 0.1523 0.1621 0.3970 0.4227
2004-05 La Ronge Ice Wolves SJHL 54 28 27 55 1.018 0.2942 0.2988 0.7667 0.7787
2005-06 La Ronge Ice Wolves SJHL 55 34 33 67 1.218 0.3519 0.3408 0.9171 0.8883
■ 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
2009-10 Manhattanville D3 — SR 24 8 9 17 0.708
2008-09 Manhattanville D3 — JR 24 12 5 17 0.708
2007-08 Manhattanville D3 — SO 27 8 6 14 0.518
2006-07 Manhattanville D3 — FR 17 5 8 13 0.765
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.76
2006-07 · Manhattanville
+175.8% vs. projection

NCAAe Rankings

#11377
Forward overall
#400
Forward born in 1985
#157
in SJHL

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.44 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.31 Average
NCAAe PPG

D2/3 Comparables

Grant Everett
Wisconsin-River Falls · 2007-08
0.708 Strong
actual D2/3 PPG
Patrick Jobb
SUNY Plattsburgh · 2008-09
0.556 Average
actual D2/3 PPG
Adam Kudynski
Lebanon Valley · 2003-04
0.909 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.