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Quinn Booth Elite Prospects ↗

Position: Forward DOB: 2004-10-05 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
2021-22 Tilton NE-Prep 23 2 8 10 0.435 0.0839 0.0839 0.1990 0.1990
2022-23 Tilton NE-Prep 28 8 14 22 0.786 0.1516 0.1516 0.3595 0.3595
2023-24 Smiths Falls Bears CCHL 31 6 9 15 0.484 0.1050 0.1043 0.3746 0.3719
2024-25 Smiths Falls Bears CCHL 51 19 33 52 1.020 0.2212 0.2096 0.7893 0.7481
■ 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 Suffolk D3 CNE — 21 3 6 9 0.429
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.43
2025-26 · Suffolk
+198.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
20%
NCAA D2/D3
40%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#21433
Forward overall
#1163
Forward born in 2004

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.34 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.35 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Cayden Cahill
Wisconsin-River Falls · 2016-17
0.862 Strong
actual D2/3 PPG
Blake Kashark
UMass Dartmouth · 2023-24
0.400 Average
actual D2/3 PPG
Gavin Simopoulos
Southern Maine · 2023-24
0.560 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.