Robert Morris
Set Commitment
NCAA Division I Women's
Projected PPG — WCHA-W
0.34
Average (0.25–0.45)
Base NCAAe-W PPG0.4015
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencelow
Seasons Used1
NCAA D3W
Projected PPG — Division Avg
1.24
Elite (1.00+)
Base D3e-W PPG1.4509
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencelow
Seasons Used1
D1W / D3W Likelihood
60%
NCAA D1W
8%
NCAA D3W
32%
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 | Kingston Jr. Ice Wolves | OWHL-U22 | 45 | 33 | 20 | 53 | 1.178 | 0.4125 | 0.4015 |
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 |
|---|---|---|---|
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| Lauren Abbenante | NE-Prep-Girls · 2012-13 · 1.30 PPG | 0.607 | Holy Cross |
| Katie Rooney | USHS-MN-W · 2012-13 · 2.52 PPG | 0.219 | RPI |
| Darby Dodds | USHS-MN-W · 2013-14 · 2.52 PPG | 0.000 | Lindenwood |
| Reagan Haley | USHS-MN-W · 2013-14 · 2.80 PPG | 0.108 | Minnesota Duluth |
Historical Comparables — NCAA D3W
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Celia Midtbo | 2022-23 · 1.73 PPG | 0.840 | Saint Mary's (MN) | MIAC |
| Amber Tilander | 2017-18 · 2.22 PPG | 0.655 | St. Scholastica | NCHA |
| Erica Power | 2013-14 · 1.40 PPG | 1.038 | Gustavus Adolphus | MIAC |
| Mikaila Rubin | 2016-17 · 2.21 PPG | 0.654 | Nazareth | UCHC |
| Alyssa Hulst | 2015-16 · 2.08 PPG | 0.700 | Norwich | NEHC |
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.