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Matt Thurber Elite Prospects ↗

Position: Forward DOB: 1989-10-02 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
2005-06 Omaha Lancers USHL 53 11 12 23 0.434 0.2668 0.3015 1.2787 1.4452
2006-07 Omaha Lancers USHL 58 11 32 43 0.741 0.4557 0.4916 2.1843 2.3563
2007-08 Omaha Lancers USHL 58 14 41 55 0.948 0.5829 0.5989 2.7939 2.8708
■ 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
2012-13 Northern Michigan D1 — SR 30 6 26 32 1.067
2011-12 Northern Michigan D1 — JR 37 11 19 30 0.811
2009-10 Wisconsin D1 — SO 9 0 3 3 0.333
2008-09 Wisconsin D1 — FR 33 2 6 8 0.242
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.52
before college
→
Actual FR PPG
0.24
2008-09 · Wisconsin
-53.2% vs. projection

NCAAe Rankings

#6225
Forward overall
#225
Forward born in 1989
#430
in USHL

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.71 Strong
NCAAe PPG
Brendan Harms
USHL · 2012-13 · 1.09 PPG
→ Bemidji State (0.55 D1 FR PPG)
0.69 Strong
NCAAe PPG
Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.66 Developing
NCAAe PPG
Alex Roos
USHL · 2012-13 · 0.73 PPG
→ Colorado College (0.49 D1 FR PPG)
0.46 Average
NCAAe PPG

D2/3 Comparables

Geordan Buffoline
New England · 2017-18
1.667 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2004-05
1.704 Elite
actual D2/3 PPG
Joona Juntunen
Saint Mary's (MN) · 2023-24
0.826 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.