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Alex Grubbs 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
2012-13 Hayward High USHS-W 23 3 4 7 0.304 0.0915 0.0915 — —
2013-14 Hayward High USHS-W 23 14 13 27 1.174 0.3530 0.3530 — —
2015-16 Hayward High USHS-W 24 9 19 28 1.167 0.3508 0.3508 — —
■ 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
2019-20 Wisconsin-Stevens Point D3 WIAC SR 28 6 7 13 0.464
2018-19 Wisconsin-Stevens Point D3 WIAC JR 27 7 5 12 0.444
2017-18 Wisconsin-Stevens Point D3 WIAC SO 27 5 4 9 0.333
2016-17 Wisconsin-Stevens Point D3 WIAC FR 27 5 5 10 0.370
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.37
2016-17 · Wisconsin-Stevens Point
+22.9% vs. projection

NCAAe Rankings

#2309
Forward overall
#830
in USHS-W

D1 Comparables

Sylvia Marolt
USHS-MN-W · 2012-13 · 2.12 PPG
→ Bemidji State
0.34 No data
NCAAe PPG
Demi Gardner
USHS-MN-W · 2012-13 · 2.12 PPG
→ Minnesota State (0.25 D1 FR PPG)
0.34 Developing
NCAAe PPG
Rebekah Kolstad
USHS-MN-W · 2012-13 · 2.09 PPG
→ North Dakota (0.06 D1 FR PPG)
0.34 Developing
NCAAe PPG
Taylor Williamson
USHS-MN-W · 2013-14 · 2.14 PPG
→ Minnesota (0.40 D1 FR PPG)
0.34 Average
NCAAe PPG
Catherine Skaja
USHS-MN-W · 2012-13 · 2.08 PPG
→ Minnesota (0.34 D1 FR PPG)
0.33 Developing
NCAAe PPG

D2/3 Comparables

Gracyn Knowles
Wisconsin-River Falls · 2024-25
0.548 Average
actual D2/3 PPG
Madison Gaffney
Hamline · 2014-15
0.633 Average
actual D2/3 PPG
Payton Rudiger
Wisconsin-River Falls · 2015-16
0.435 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.