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Will Calverley Elite Prospects ↗

Position: Forward DOB: 1998-07-17 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
2014-15 North York Rangers OJHL 1 0 0 0 0.000 — — — —
2015-16 North York Rangers OJHL 3 0 2 2 0.667 0.1634 0.1741 0.4590 0.4891
2016-17 Chilliwack Chiefs BCHL 56 17 33 50 0.893 0.3440 0.3559 1.2994 1.3442
2017-18 Chilliwack Chiefs BCHL 55 18 28 46 0.836 0.3223 0.3179 1.2172 1.2006
■ 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 Merrimack D1 HockeyEast — 38 5 15 20 0.526
2021-22 RIT D1 AHA SR 38 15 12 27 0.711
2020-21 RIT D1 AHA JR 18 12 13 25 1.389
2019-20 RIT D1 AHA SO 32 13 10 23 0.719
2018-19 RIT D1 AHA FR 37 7 9 16 0.432
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.43
2018-19 · RIT
+51.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
0%
NCAA D2/D3
42%
Pro / Other

NCAAe Rankings

#14353
Forward overall
#658
Forward born in 1998

D1 Comparables

Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG
Garret Clemment
NAHL · 2012-13 · 0.93 PPG
→ Lake Superior State (0.43 D1 FR PPG)
0.34 Average
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max McHugh
NAHL · 2012-13 · 0.88 PPG
→ Alabama-Huntsville (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Matthew Fawcett
Salve Regina · 2018-19
1.259 Elite
actual D2/3 PPG
Louie Kamienski
Endicott · 2023-24
1.000 Elite
actual D2/3 PPG
Sean Matthews
Milwaukee School of Engineering · 2021-22
0.000 No data
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.