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Kaylee Wood Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin 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
2013-14 Champlin Park High (Women) USHS-W 22 1 6 7 0.318 0.0957 0.0957 — —
2014-15 Champlin Park High (Women) USHS-W 21 5 11 16 0.762 0.2291 0.2291 — —
2015-16 Champlin Park High (Women) USHS-W 25 15 9 24 0.960 0.2887 0.2887 — —
2016-17 Champlin Park High (Women) USHS-W 24 19 20 39 1.625 0.4886 0.4886 — —
■ 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
2020-21 Wisconsin-Superior D3 WIAC — 10 2 5 7 0.700
2019-20 Wisconsin-Superior D3 WIAC JR 27 4 3 7 0.259
2018-19 Wisconsin-Superior D3 WIAC SO 22 0 2 2 0.091
2017-18 Wisconsin-Superior D3 WIAC FR 27 2 4 6 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.22
2017-18 · Wisconsin-Superior
-36.5% vs. projection

NCAAe Rankings

#1493
Forward overall
#510
in USHS-W

D1 Comparables

Emma Nuutinen
SMLIIGA-W · 2012-13 · 1.25 PPG
→ North Dakota (0.56 D1 FR PPG)
0.47 Strong
NCAAe PPG
Dana Rasmussen
USHS-MN-W · 2013-14 · 2.96 PPG
→ Ohio State (0.17 D1 FR PPG)
0.48 Developing
NCAAe PPG
Reagan Haley
USHS-MN-W · 2012-13 · 2.92 PPG
→ Minnesota Duluth (0.11 D1 FR PPG)
0.47 Developing
NCAAe PPG
Haley Mack
USHS-MN-W · 2013-14 · 2.88 PPG
→ Bemidji State (0.37 D1 FR PPG)
0.46 Average
NCAAe PPG
Kelly Pannek
USHS-MN-W · 2013-14 · 3.08 PPG
→ Minnesota (1.07 D1 FR PPG)
0.49 Elite
NCAAe PPG

D2/3 Comparables

Zsofia Pazmandi
Plattsburgh · 2022-23
0.875 Strong
actual D2/3 PPG
Emma Flynn
Amherst · 2016-17
0.615 Average
actual D2/3 PPG
Ivy Boric
Plattsburgh · 2015-16
1.296 Elite
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.