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Matthew Purmal Elite Prospects ↗

Position: Defense DOB: 1994-05-26 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
2011-12 Wichita Falls Wildcats NAHL 51 2 10 12 0.235 0.0864 0.0941 0.2484 0.2707
2012-13 Fort McMurray Oil Barons AJHL 59 4 11 15 0.254 0.0853 0.0875 0.2352 0.2412
2013-14 Green Bay Gamblers USHL 54 2 2 4 0.074 0.0437 0.0417 0.2226 0.2123
■ 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
2017-18 St. Lawrence D1 ECAC SR 28 0 3 3 0.107
2016-17 St. Lawrence D1 ECAC JR 28 1 1 2 0.071
2015-16 St. Lawrence D1 ECAC SO 32 0 9 9 0.281
2014-15 St. Lawrence D1 ECAC FR 23 4 2 6 0.261
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.26
2014-15 · St. Lawrence
+360.1% vs. projection

NCAAe Rankings

#22453
Defenseman overall
#2282
Defenseman born in 1994

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG

D2/3 Comparables

Troy Taylor
Castleton · 2014-15
0.762 Strong
actual D2/3 PPG
Brock Sawyer
Elmira · 2006-07
0.444 Average
actual D2/3 PPG
Alex Kolowrat
Suffolk · 2017-18
0.417 Average
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.