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Christian Wood Elite Prospects ↗

Position: Defense DOB: 2004-02-10 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 Frederick Gunn NE-Prep 23 0 2 2 0.087 0.0168 0.0168 0.0398 0.0398
2022-23 Frederick Gunn NE-Prep 36 5 22 27 0.750 0.1447 0.1447 0.3432 0.3432
2023-24 — NAHL 44 2 10 12 0.273 0.0969 0.0954 0.2863 0.2820
■ 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 Middlebury D3 NESCAC SO 23 0 1 1 0.043
2024-25 Middlebury D3 NESCAC — 25 2 7 9 0.360
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.36
2024-25 · Middlebury
+231.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
8%
NCAA D2/D3
32%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#13809
Defenseman overall
#2760
Defenseman born in 2004

D1 Comparables

Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG

D2/3 Comparables

Kelly Reynolds
St. Scholastica · 2003-04
0.556 Average
actual D2/3 PPG
Mark Stewart
SUNY Potsdam · 2000-01
0.346 Developing
actual D2/3 PPG
Chris Lutz
Chatham · 2016-17
0.400 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.