Tereza Gildainova
Position:
Forward
DOB: 2008-01-01
Country: Unknown
NCAA-W Projection
Cornell
Set Commitment
NCAA Division I Women's
Projected PPG — WCHA-W
0.33
Average (0.25–0.45)
Base NCAAe-W PPG0.3795
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencelow
Seasons Used1
NCAA D3W
Projected PPG — Division Avg
0.90
Strong (0.65–1.00)
Base D3e-W PPG1.0536
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencelow
Seasons Used1
D1W / D3W Likelihood
38%
NCAA D1W
8%
NCAA D3W
55%
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 | — | 16U-AAA-W | 32 | 13 | 21 | 34 | 1.062 | 0.3795 | 0.3795 |
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 |
|---|---|---|---|
| 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 |
| Corbin Boyd | USHS-MN-W · 2013-14 · 2.42 PPG | 0.269 | Minnesota State |
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| Lauren Hespenheide | USHS-MN-W · 2012-13 · 2.40 PPG | 0.257 | St. Cloud State |
Historical Comparables — NCAA D3W
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Molly Terebayza | 2021-22 · 1.44 PPG | 0.731 | St. Olaf | MIAC |
| Dani Sibley | 2010-11 · 1.44 PPG | 0.733 | Wisconsin-River Falls | WIAC |
| Claire Cripps | 2010-11 · 2.20 PPG | 0.480 | Augsburg | MIAC |
| Emily Cronkhite | 2018-19 · 1.76 PPG | 0.600 | Augsburg | MIAC |
| Alyssa Heim | 2016-17 · 2.62 PPG | — | Wisconsin-Eau Claire | WIAC |
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.