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Maddie Mills Elite Prospects ↗

Position: Forward DOB: 1998-08-19 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
2014-15 Shattuck St. Mary's 16U USHS-W 49 41 40 81 1.653 0.4812 0.4756 — —
2015-16 Shattuck St. Mary's Prep USHS-W 60 38 36 74 1.233 0.3590 0.3353 — —
2016-17 Shattuck St. Mary's Prep USHS-W 59 35 44 79 1.339 0.3898 0.3454 — —
■ 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
2021-22 Northeastern D1 HEA-W — 36 16 17 33 0.917
2020-21 Cornell D1 ECAC-W SR 0 0 0 0 0.000
2019-20 Cornell D1 ECAC-W JR 33 20 21 41 1.242
2018-19 Cornell D1 ECAC-W SO 36 18 21 39 1.083
2017-18 Cornell D1 ECAC-W — 33 18 15 33 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
1.00
2017-18 · Cornell
+242.2% vs. projection

NCAAe Rankings

#1168
Forward overall
#39
Forward born in 1998
#388
in USHS-W

D1 Comparables

Taylor Williamson
USHS-MN-W · 2013-14 · 2.14 PPG
→ Minnesota (0.40 D1 FR PPG)
0.34 Average
NCAAe PPG
Haley Mack
USHS-MN-W · 2012-13 · 2.16 PPG
→ Bemidji State (0.37 D1 FR PPG)
0.35 Average
NCAAe PPG
Emily Bergland
USHS-MN-W · 2012-13 · 2.16 PPG
→ Bemidji State (0.11 D1 FR PPG)
0.35 Developing
NCAAe PPG
Corbin Boyd
USHS-MN-W · 2012-13 · 2.16 PPG
→ Minnesota (0.27 D1 FR PPG)
0.35 Developing
NCAAe PPG
Brittany Wheeler
USHS-MN-W · 2013-14 · 2.16 PPG
→ Yale (0.11 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Taylor Williamson
Minnesota ·
0.395 Average
actual D2/3 PPG
Haley Mack
Bemidji State ·
0.371 Average
actual D2/3 PPG
Emily Bergland
Bemidji State ·
0.114 Developing
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.