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Matthew Muzyka Elite Prospects ↗

Position: Forward DOB: 1996-04-13 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
2014-15 Hartford Jr. Wolfpack EHL 21 6 6 12 0.571 0.1226 0.1277 0.2798 0.2914
2015-16 Drumheller Dragons AJHL 50 19 20 39 0.780 0.2605 0.2522 0.7241 0.7010
2016-17 — NAHL 5 0 2 2 0.400 0.1485 0.1385 0.4235 0.3949
■ 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
2020-21 Skidmore D3 SUNYAC SR 0 0 0 0 0.000
2019-20 Skidmore D3 SUNYAC JR 26 7 5 12 0.462
2018-19 Skidmore D3 SUNYAC SO 25 9 11 20 0.800
2017-18 Skidmore D3 SUNYAC FR 26 5 9 14 0.538
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.54
2017-18 · Skidmore
+241.9% vs. projection

NCAAe Rankings

#19163
Forward overall
#786
Forward born in 1996

D1 Comparables

Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Travis Quigley
Southern New Hampshire · 2017-18
0.333 Developing
actual D2/3 PPG
Danny O'Donnell
Aurora · 2016-17
0.280 Developing
actual D2/3 PPG
Thomas Dunn
Fredonia · 2015-16
0.429 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.