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Matthew Hansen Elite Prospects ↗

Position: Forward DOB: 1993-05-11 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
2010-11 Cedar Rapids RoughRiders USHL 44 5 5 10 0.227 0.1341 0.1406 0.6827 0.7159
2011-12 Des Moines Buccaneers USHL 14 1 1 2 0.143 0.0843 0.0845 0.4292 0.4300
2012-13 Alberni Valley Bulldogs BCHL 40 14 26 40 1.000 0.3853 0.3748 0.7509 0.7124
■ 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
2016-17 Colorado College D1 NCHC — 27 6 9 15 0.556
2015-16 Colorado College D1 NCHC — 33 4 4 8 0.242
2014-15 Colorado College D1 NCHC — 34 3 7 10 0.294
2013-14 Colorado College D1 NCHC — 12 1 1 2 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.17
2013-14 · Colorado College
-24.7% vs. projection

NCAAe Rankings

#17161
Forward overall
#594
Forward born in 1993
#1670
in USHL

D1 Comparables

Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Emmond Bell
Norwich · 2006-07
0.640 Average
actual D2/3 PPG
Steve Evans
Westfield State · 2009-10
0.950 Strong
actual D2/3 PPG
Ryan Panet
Lake Forest · 2000-01
0.750 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.