IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Tyler Buonopane Elite Prospects ↗

Position: Forward DOB: 2000-06-16 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 Valley Jr. Warriors EHL 40 9 6 15 0.375 0.0866 0.0914 0.1835 0.1936
2019-20 — EHL 43 18 20 38 0.884 0.2041 0.2041 0.4324 0.4324
2020-21 Connecticut RoughRiders EHL 37 21 34 55 1.486 0.3434 0.3434 0.7273 0.7273
■ 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 Lake Forest D3 NCHA SR 23 3 4 7 0.304
2023-24 Lake Forest D3 NCHA JR 23 1 8 9 0.391
2022-23 Lake Forest D3 NCHA SO 15 2 4 6 0.400
2021-22 Lake Forest D3 NCHA FR 12 2 2 4 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.33
2021-22 · Lake Forest
+326.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
85%
Other

NCAAe Rankings

#11256
Forward overall
#474
Forward born in 2000
#127
in EHL

D1 Comparables

Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG

D2/3 Comparables

Tyler Branish
Roger Williams · 2022-23
0.200 Developing
actual D2/3 PPG
Parker Colley
Marian · 2015-16
0.522 Average
actual D2/3 PPG
Brayden Sampson
Aurora · 2015-16
0.518 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.