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Mat Hehr Elite Prospects ↗

Position: Forward DOB: 1988-10-08 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
2005-06 Sherwood Park Crusaders AJHL 6 0 0 0 0.000 — — — —
2006-07 Sherwood Park Crusaders AJHL 37 1 2 3 0.081 0.0272 0.0285 0.0750 0.0785
2007-08 Sherwood Park Crusaders AJHL 50 14 10 24 0.480 0.1610 0.1596 0.4442 0.4403
2008-09 Sherwood Park Crusaders AJHL 51 6 12 18 0.353 0.1184 0.1124 0.3266 0.3101
■ 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 Fredonia D3 SUNYAC SR 25 8 7 15 0.600
2011-12 Fredonia D3 SUNYAC JR 26 8 13 21 0.808
2010-11 Fredonia D3 SUNYAC SO 28 12 9 21 0.750
2009-10 Fredonia D3 SUNYAC FR 20 15 11 26 1.300
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
1.30
2009-10 · Fredonia
+1056.6% vs. projection

NCAAe Rankings

#44812
Forward overall
#1481
Forward born in 1988
#1794
in AJHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Jake Howie
Marian · 2014-15
0.667 Strong
actual D2/3 PPG
Jeff Zatorski
SUNY Potsdam · 2005-06
0.522 Average
actual D2/3 PPG
Mason Campbell
Saint John's · 2021-22
0.640 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.