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Matthew DeBlouw Elite Prospects ↗

Position: Forward DOB: 1993-09-17 Country: USA
2012 · Round 6, Pick #186  ·  Calgary Flames Calgary Flames
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 Muskegon Lumberjacks USHL 33 2 4 6 0.182 0.1072 0.1143 0.5460 0.5822
2011-12 Muskegon Lumberjacks USHL 58 11 22 33 0.569 0.3357 0.3423 1.7089 1.7423
■ 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
2015-16 Michigan State D1 BigTen SR 28 9 8 17 0.607
2014-15 Michigan State D1 BigTen JR 35 8 5 13 0.371
2013-14 Michigan State D1 BigTen SO 23 0 4 4 0.174
2012-13 Michigan State D1 BigTen FR 42 10 11 21 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.50
2012-13 · Michigan State
+132.7% vs. projection

NCAAe Rankings

#21212
Forward overall
#731
Forward born in 1993
#2076
in USHL

D1 Comparables

Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.31 Strong
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.39 Developing
NCAAe PPG
Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.30 Average
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Colin Bella
Lake Forest · 2021-22
0.963 Strong
actual D2/3 PPG
Ryan Bloom
University of New England · 2010-11
1.654 Elite
actual D2/3 PPG
Jason Yuel
Curry · 2005-06
1.769 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.