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Ian Wood Elite Prospects ↗

Position: Forward DOB: 1994-09-20 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
2011-12 Pittsburgh Jr. Penguins NA3HL 1 0 1 1 1.000 0.2300 0.2490 0.3168 0.3430
2012-13 Pittsburgh Vengeance NA3HL 42 7 10 17 0.405 0.0931 0.0962 0.1282 0.1324
■ 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
2018-19 SUNY Morrisville D1 — SR 24 5 5 10 0.417
2018-19 SUNY Morrisville D3 SUNYAC SR 24 5 5 10 0.417
2017-18 SUNY Morrisville D3 SUNYAC JR 25 5 7 12 0.480
2016-17 SUNY Morrisville D3 SUNYAC SO 25 6 5 11 0.440
2015-16 SUNY Morrisville D3 SUNYAC FR 23 3 4 7 0.304
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.30
2015-16 · SUNY Morrisville
+125.9% vs. projection

NCAAe Rankings

#48175
Forward overall
#1982
Forward born in 1994
#3037
in NA3HL

D1 Comparables

Ryan Fitzgerald
NTDP-U18 · 2012-13 · 0.12 PPG
→ Boston College (0.72 D1 FR PPG)
0.09 Strong
NCAAe PPG
Cédric Lacroix
USHL · 2012-13 · 0.13 PPG
→ Maine (0.28 D1 FR PPG)
0.08 Developing
NCAAe PPG
Ian Mansfield
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.14 Developing
NCAAe PPG
Bo Pieper
USHL · 2012-13 · 0.19 PPG
→ Quinnipiac (0.34 D1 FR PPG)
0.12 Developing
NCAAe PPG
Matt Gaudreau
USHL · 2012-13 · 0.33 PPG
→ Boston College (0.12 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Cory Harder
St. Norbert · 2004-05
0.438 Average
actual D2/3 PPG
Greg Diamond
SUNY Geneseo · 2022-23
0.518 Average
actual D2/3 PPG
Brett Piper
Trine · 2016-17
0.625 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.