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Matt Rhymer Elite Prospects ↗

Position: Defense DOB: 1987-07-03 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
2003-04 Collingwood Blues OJHL 10 0 0 0 0.000 — — — —
2004-05 Collingwood Blues OJHL 39 5 9 14 0.359 0.0880 0.0922 0.2472 0.2591
2005-06 Pembroke Lumber Kings CCHL 41 3 10 13 0.317 0.0688 0.0702 0.2453 0.2502
2006-07 Pembroke Lumber Kings CCHL 51 11 32 43 0.843 0.1829 0.1775 0.6523 0.6330
■ 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
2010-11 SUNY Potsdam D3 SUNYAC JR 15 3 4 7 0.467
2009-10 SUNY Potsdam D3 SUNYAC SO 22 3 10 13 0.591
2008-09 SUNY Potsdam D3 SUNYAC FR 25 4 11 15 0.600
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.60
2008-09 · SUNY Potsdam
+372.4% vs. projection

NCAAe Rankings

#8270
Defenseman overall
#1022
Defenseman born in 1987

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Lawrence Cornellier
Wisconsin-Stevens Point · 2011-12
0.667 Strong
actual D2/3 PPG
Jake Martin
Fitchburg State · 2011-12
1.267 Elite
actual D2/3 PPG
Deiter Stange
Worcester State · 2018-19
0.462 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.