Dartmouth
Set Commitment
NCAA Division I Women's
Projected PPG — ECAC-W
0.16
Developing (<0.25)
Base NCAAe-W PPG0.1937
Conf. Strength1.010
Year Adj (FR)×0.80
Confidencelow
Seasons Used1
NCAA D3W
Projected PPG — Division Avg
0.46
Average (0.35–0.65)
Base D3e-W PPG0.5409
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 |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | — | 16U-AAA-W | 11 | 2 | 4 | 6 | 0.545 | 0.1937 | 0.1937 |
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 |
| Sydney Brodt | USHS-MN-W · 2012-13 · 1.32 PPG | 0.600 | Minnesota Duluth |
| Jackie Pieper | USHS-MN-W · 2013-14 · 1.32 PPG | 0.324 | Merrimack |
| Nicole Guagliardo | USHS-W · 2013-14 · 2.27 PPG | 0.156 | Mercyhurst |
| Kiki Radke | USHS-MN-W · 2013-14 · 1.24 PPG | 0.273 | Bemidji State |
Historical Comparables — NCAA D3W
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jenna Allen | 2023-24 · 0.93 PPG | 0.586 | Augsburg | MIAC |
| Mia Montanari | 2024-25 · 1.08 PPG | 0.500 | RPI | ECAC |
| Flora Pasztor | 2025-26 · 1.35 PPG | — | Post | NE10 |
| Ellie Newpower | 2023-24 · 0.79 PPG | 0.679 | Hamline | MIAC |
| Taylor Lesnar | 2024-25 · 1.50 PPG | 0.357 | St. Norbert | 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.