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Davis Bone Elite Prospects ↗

Position: Forward DOB: 2001-09-19 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
2018-19 New Hampton NE-Prep 34 3 3 6 0.176 0.0350 0.0350 0.0804 0.0804
2019-20 New Hampton NE-Prep 34 1 5 6 0.176 0.0350 0.0350 0.0804 0.0804
2020-21 Vermont Lumberjacks EHL 34 20 12 32 0.941 0.2174 0.2174 0.4605 0.4605
2021-22 — OJHL 51 9 6 15 0.294 0.0721 0.0675 0.2025 0.1897
■ 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
2025-26 Johnson & Wales D3 CNE SR 23 1 8 9 0.391
2024-25 Johnson & Wales D3 CNE JR 8 3 0 3 0.375
2023-24 Johnson & Wales D3 CNE SO 25 7 9 16 0.640
2022-23 Johnson & Wales D3 CNE FR 24 3 3 6 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.25
2022-23 · Johnson & Wales
+435.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
15%
NCAA D2/D3
60%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#35742
Forward overall
#1932
Forward born in 2001

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Alexis Trudeau
Nichols · 2024-25
0.455 Average
actual D2/3 PPG
Alfred Rotiroti
Rivier · 2021-22
0.286 Developing
actual D2/3 PPG
Phil Erickson
Wilkes · 2017-18
0.500 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.