Rivier
Set Commitment
NCAA Division I Women's
Projected PPG — WCHA-W
0.04
Developing (<0.25)
Base NCAAe-W PPG0.0504
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencelow
Seasons Used1
NCAA D3W
Projected PPG — Division Avg
0.10
Developing (<0.35)
Base D3e-W PPG0.1221
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencelow
Seasons Used1
D1W / D3W Likelihood
2%
NCAA D1W
0%
NCAA D3W
98%
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 |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston Hockey Academy 19U AAA | 19U-AAA-W | 24 | 1 | 3 | 4 | 0.167 | 0.0531 | 0.0504 |
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 |
|---|---|---|---|
| Presley Norby | USHS-MN-W · 2012-13 · 0.33 PPG | 0.525 | Wisconsin |
| Laura Anderson | USHS-MN-W · 2012-13 · 0.34 PPG | 0.290 | Yale |
| Taylor Heise | USHS-MN-W · 2012-13 · 0.36 PPG | 0.897 | Minnesota |
| Sierra Smith | USHS-MN-W · 2012-13 · 0.40 PPG | 0.000 | Minnesota |
| Katie McMillan | USHS-MN-W · 2012-13 · 0.24 PPG | 0.314 | Penn State |
Historical Comparables — NCAA D3W
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Alisa Canney | 2016-17 · 0.30 PPG | 0.407 | William Smith | NEHC |
| Gracyn Knowles | 2021-22 · 0.22 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Maeve McAdams | 2023-24 · 0.64 PPG | 0.190 | Middlebury | NESCAC |
| Hunter Gallus | 2016-17 · 0.30 PPG | — | St. Catherine | MIAC |
| Everly Bauck | 2016-17 · 0.30 PPG | — | St. Scholastica | NCHA |
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.