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Ellie Cleary 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
2016-17 Monsignor Martin USHS-W 20 8 7 15 0.750 0.2255 0.2255 — —
2017-18 Monsignor Martin USHS-W 20 0 11 11 0.550 0.1654 0.1654 — —
■ 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 Potsdam D3 — — 25 2 9 11 0.440
2021-22 SUNY Potsdam D3 — — 25 2 9 11 0.440
2020-21 Potsdam D3 — — 0 0 0 0 0.000
2020-21 SUNY Potsdam D3 — — 0 0 0 0 0.000
2019-20 Potsdam D3 — — 24 2 8 10 0.417
2019-20 SUNY Potsdam D3 — — 24 2 8 10 0.417
2018-19 Potsdam D3 — — 22 4 3 7 0.318
2018-19 SUNY Potsdam D3 — — 22 4 3 7 0.318
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.32
2018-19 · Potsdam
+96.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D1
0%
NCAA D2/D3
95%
Club / Other

NCAAe Rankings

#4412
Forward overall
#1527
in USHS-W

D1 Comparables

Grace Zumwinkle
USHS-MN-W · 2012-13 · 1.08 PPG
→ Minnesota (1.00 D1 FR PPG)
0.16 Elite
NCAAe PPG
Jordan Chancellor
USHS-MN-W · 2012-13 · 1.08 PPG
→ Yale (0.52 D1 FR PPG)
0.16 Average
NCAAe PPG
Liz Schepers
USHS-MN-W · 2012-13 · 1.12 PPG
→ Ohio State (0.41 D1 FR PPG)
0.17 Average
NCAAe PPG
Sierra Semmel
NE-Prep-Girls · 2012-13 · 0.26 PPG
→ Maine
0.16 No data
NCAAe PPG
Natalie Snodgrass
USHS-MN-W · 2012-13 · 1.20 PPG
→ UConn (1.00 D1 FR PPG)
0.18 Elite
NCAAe PPG

D2/3 Comparables

Grace Zumwinkle
Minnesota ·
1.000 Elite
actual D2/3 PPG
Jordan Chancellor
Yale ·
0.517 Average
actual D2/3 PPG
Liz Schepers
Ohio State ·
0.410 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.