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Chase McLane Elite Prospects ↗

Position: Forward DOB: 2000-04-22 Country: USA
2020 NHL Draft Round 7, Pick #209  ·  Nashville Predators Nashville Predators
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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
2017-18 Tri-City Storm USHL 48 1 9 10 0.208 0.1229 0.1294 0.6236 0.6567
2018-19 Tri-City Storm USHL 34 7 15 22 0.647 0.3817 0.3823 1.9373 1.9402
2019-20 Tri-City Storm USHL 18 5 11 16 0.889 0.5244 0.5244 2.6612 2.6612
■ 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
2024-25 Colorado College D1 NCHC — 33 5 5 10 0.303
2023-24 Penn State D1 BigTen SR 17 3 3 6 0.353
2022-23 Penn State D1 BigTen JR 21 2 3 5 0.238
2021-22 Penn State D1 BigTen SO 30 3 10 13 0.433
2020-21 Penn State D1 BigTen FR 19 3 2 5 0.263
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.26
2020-21 · Penn State
+9.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

88%
NCAA D1
0%
NCAA D2/D3
12%
Pro / Other

NCAAe Rankings

#9005
Forward overall
#380
Forward born in 2000
#747
in USHL

D1 Comparables

Brandon Hawkins
NAHL · 2012-13 · 0.97 PPG
→ Bowling Green (0.77 D1 FR PPG)
0.40 Strong
NCAAe PPG
Drew Smolcynski
USHL · 2012-13 · 0.69 PPG
→ St. Lawrence (0.44 D1 FR PPG)
0.42 Average
NCAAe PPG
Ray Pigozzi
USHL · 2012-13 · 0.64 PPG
→ UMass (0.55 D1 FR PPG)
0.39 Average
NCAAe PPG
Daniel Milne
OHL · 2012-13 · 0.70 PPG
→ Michigan
0.41 No data
NCAAe PPG
Christian Heil
USHL · 2012-13 · 0.62 PPG
→ Colorado College (0.04 D1 FR PPG)
0.38 Developing
NCAAe PPG

D2/3 Comparables

Donny Flynn
Wilkes · 2015-16
1.423 Elite
actual D2/3 PPG
Ryan Woodward
SUNY Oswego · 2000-01
1.226 Elite
actual D2/3 PPG
Justin Fox
Salem State · 2005-06
1.429 Elite
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.