Maine
Set Commitment
NCAA Division I Women's
Projected PPG — WCHA-W
0.13
Developing (<0.25)
Base NCAAe-W PPG0.1561
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencemedium
Seasons Used2
NCAA D3W
Projected PPG — Division Avg
0.48
Average (0.35–0.65)
Base D3e-W PPG0.5642
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencemedium
Seasons Used2
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 | — | OWHL-U22 | 3 | 1 | 0 | 1 | 0.333 | 0.1167 | 0.1167 |
| 2025-26 | Mississauga Hurricanes U22 | OWHL-U22 | 48 | 5 | 20 | 25 | 0.521 | 0.1824 | 0.1824 |
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 |
|---|---|---|---|
| Natalie Snodgrass | USHS-MN-W · 2012-13 · 1.20 PPG | 1.000 | UConn |
| Kaylee Druk | USHS-MN-W · 2012-13 · 1.20 PPG | 0.000 | Syracuse |
| Tianna Gunderson | USHS-MN-W · 2013-14 · 1.20 PPG | 0.069 | Minnesota |
| Presley Norby | USHS-MN-W · 2013-14 · 1.20 PPG | 0.525 | Wisconsin |
| Mac Johnson | USHS-MN-W · 2013-14 · 1.22 PPG | 0.125 | St. Cloud State |
Historical Comparables — NCAA D3W
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Marta Mazzocchi | 2022-23 · 0.90 PPG | 0.727 | Trinity | NESCAC |
| Rylan Kissel | 2024-25 · 1.11 PPG | 0.577 | Bethel | MIAC |
| Morgan Mordini | 2017-18 · 1.78 PPG | 0.370 | Elmira | UCHC |
| Riley Schneider | 2014-15 · 1.52 PPG | 0.435 | Saint Benedict | MIAC |
| Molly Garin | 2014-15 · 0.52 PPG | 1.267 | Hamline | 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.