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Bailey Bram Elite Prospects ↗

Position: Forward DOB: 1990-09-05 Country: Canada
NCAA-W Projection
No commitment set

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
2.53
Elite (0.70+)
Base NCAAe-W PPG2.3584
Conf. Strength0.997
Year Adj (FR)×1.00
Confidencehigh
Seasons Used1

NCAA D3W

Projected PPG — Division Avg
4.21
Elite (1.00+)
Base D3e-W PPG4.9171
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencehigh
Seasons Used1

D1W / D3W Likelihood

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).

SeasonTeamLeagueGP GAPtsPPG NCAAe-W PPGAge-Adjusted
2012-13 Markham Thunder CWHL 24 6 12 18 0.750 N/A N/A
2013-14 Linköping HC SDHL 2 4 3 7 3.500 4.0933 3.6797
2014-15 Calgary Inferno CWHL 24 4 10 14 0.583 N/A N/A
2015-16 Calgary Inferno CWHL 16 3 11 14 0.875 N/A N/A
2016-17 Calgary Inferno CWHL 22 12 12 24 1.091 N/A N/A
2017-18 Calgary Inferno CWHL 0 0 0 0 0.000 N/A N/A
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

College Seasons

SeasonSchoolConferenceYear GPGAPtsPPG
2011-12 Mercyhurst CHA-W SR 32 27 41 68 2.125
2010-11 Mercyhurst CHA-W JR 28 15 27 42 1.500
2009-10 Mercyhurst CHA-W SO 33 29 27 56 1.697
2008-09 Mercyhurst CHA-W FR 37 16 19 35 0.946

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Dani Schultz 2010-11 · 4.88 PPG 1.071 Wisconsin-Superior WIAC
Abbey Luth 2017-18 · 3.95 PPG 1.107 William Smith NEHC
Hailey Holland 2016-17 · 3.95 PPG 1.036 Gustavus Adolphus MIAC
Isabelle Stephes 2023-24 · 33.00 PPG 0.125 Wisconsin-River Falls WIAC
Sophie Rausch 2018-19 · 2.72 PPG 1.346 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.