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Neal Sheehan Elite Prospects ↗

Position: Forward DOB: 1983-07-23 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
2001-02 Waterloo Black Hawks USHL 54 13 11 24 0.444 0.2830 0.2938 1.3317 1.3823
2002-03 Waterloo Black Hawks USHL 46 6 10 16 0.348 0.2215 0.2162 1.0423 1.0172
2003-04 — NAHL 52 10 24 34 0.654 0.2428 0.2271 0.6922 0.6474
■ 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
2007-08 Fredonia D3 — SR 27 12 17 29 1.074
2006-07 Fredonia D3 — JR 29 22 24 46 1.586
2005-06 Fredonia D3 — SO 28 18 17 35 1.250
2004-05 Fredonia D3 — FR 23 4 18 22 0.957
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.96
2004-05 · Fredonia
+401.6% vs. projection

NCAAe Rankings

#15096
Forward overall
#548
Forward born in 1983

D1 Comparables

Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Kullan Daikawa
Wisconsin-Stout · 2021-22
0.464 Average
actual D2/3 PPG
Dylan Giorgio
Bethel · 2018-19
0.520 Average
actual D2/3 PPG
Lawrence Cornellier
Wisconsin-Stevens Point · 2012-13
0.667 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.