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Matthew Monk Elite Prospects ↗

Position: Defense DOB: 1998-08-28 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
2015-16 West Kelowna Warriors BCHL 3 0 0 0 0.000
2016-17 West Kelowna Warriors BCHL 3 0 0 0 0.000
2017-18 Whitecourt Wolverines AJHL 49 5 18 23 0.469 0.1574 0.1545 0.4344 0.4264
2018-19 AJHL 55 2 24 26 0.473 0.1585 0.1479 0.4374 0.4082
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
2022-23 Skidmore D3 SUNYAC SR 27 4 9 13 0.481
2021-22 Skidmore D3 SUNYAC JR 26 0 5 5 0.192
2020-21 Skidmore D3 SUNYAC SO 0 0 0 0 0.000
2019-20 Skidmore D1 SUNYAC FR 26 1 7 8 0.308
2019-20 Skidmore D3 SUNYAC FR 26 1 7 8 0.308
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
Actual FR PPG
0.31
2019-20 · Skidmore
+116.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
10%
NCAA D2/D3
45%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#10231
Defenseman overall
#1810
Defenseman born in 1998

D1 Comparables

USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

SUNY Plattsburgh · 2021-22
0.381 Average
actual D2/3 PPG
Milwaukee School of Engineering · 2018-19
0.640 Average
actual D2/3 PPG
Hobart · 2005-06
0.444 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.