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David Tolan Elite Prospects ↗

Position: Forward DOB: 2003-10-16 Country: USA
No commitment set

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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
2021-22 Northeast Generals NAHL 40 10 13 23 0.575 0.2113 0.2252 0.6069 0.6468
2022-23 — NAHL 33 11 8 19 0.576 0.2115 0.2150 0.6078 0.6179
2023-24 — NAHL 33 3 10 13 0.394 0.1447 0.1402 0.4158 0.4029
■ 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 Buffalo State D3 SUNYAC SO 19 3 6 9 0.474
2024-25 Buffalo State D3 SUNYAC — 23 6 5 11 0.478
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.48
2024-25 · Buffalo State
+228.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
18%
NCAA D2/D3
42%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#28623
Forward overall
#1649
Forward born in 2003
#2512
in NAHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG

D2/3 Comparables

Garrett Gintoli
Milwaukee School of Engineering · 2016-17
0.593 Average
actual D2/3 PPG
Sean Roadhouse
Wisconsin-River Falls · 2007-08
0.480 Average
actual D2/3 PPG
Jordan Zalba
Neumann · 2008-09
0.741 Strong
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.