Maine
Set Commitment
NCAA Division I Women's
Projected PPG — WCHA-W
0.16
Developing (<0.25)
Base NCAAe-W PPG0.1897
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencelow
Seasons Used1
NCAA D3W
Projected PPG — Division Avg
0.59
Average (0.35–0.65)
Base D3e-W PPG0.6856
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencelow
Seasons Used1
D1W / D3W Likelihood
12%
NCAA D1W
18%
NCAA D3W
70%
Club / Other
Based on 40 comparable players
Career Trajectory
Dashed = raw PPG · ■ Solid = age-adjusted NCAAe-W PPG · ■ Green = actual college PPG
Pre-College Seasons
Most women's college players come directly from high school hockey. Junior or HS season stats below (when available on Elite Prospects).
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-W PPG | Age-Adjusted |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Stoney Creek Sabres | OWHL-U22 | 2 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2025-26 | Stoney Creek Sabres | OWHL-U22 | 48 | 20 | 6 | 26 | 0.542 | 0.1897 | 0.1897 |
NCAAe-W = points/game translated to NCAA-W equivalent · COVID-flagged seasons in yellow
Historical Comparables — NCAA D1W
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Joie Phelps | USHS-MN-W · 2013-14 · 1.26 PPG | 0.182 | Cornell |
| Kiki Radke | USHS-MN-W · 2013-14 · 1.24 PPG | 0.273 | Bemidji State |
| Nicole Guagliardo | USHS-W · 2013-14 · 2.27 PPG | 0.156 | Mercyhurst |
| Mac Johnson | USHS-MN-W · 2013-14 · 1.22 PPG | 0.125 | St. Cloud State |
| Natalie Snodgrass | USHS-MN-W · 2012-13 · 1.20 PPG | 1.000 | UConn |
Historical Comparables — NCAA D3W
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Maddie Kolbow | 2014-15 · 1.08 PPG | 0.633 | Hamline | MIAC |
| Tory Heller | 2011-12 · 1.68 PPG | 0.407 | Wisconsin-Eau Claire | WIAC |
| Alexandra Kleckner | 2023-24 · 1.38 PPG | 0.500 | Saint Benedict | MIAC |
| Abigail Chamernick | 2021-22 · 1.37 PPG | 0.500 | Hamline | MIAC |
| Samantha O'Brien | 2011-12 · 1.71 PPG | — | Augsburg | MIAC |
Women's college hockey projections draw primarily on high school and junior stats when available. Because most women go directly from HS to college, projections with limited pre-college data use conference-based priors.
NCAAe-W factors are derived from historical pre-college→NCAA-W transitions. For many players, projection confidence is lower than men's due to sparse pre-college tracking.