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Rebecca Freiburger Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2012-13 Rochester J.M./Lourdes USHS-MN-W 25 9 7 16 0.640 0.1028 0.1028 — —
2013-14 Rochester J.M./Lourdes USHS-MN-W 24 10 4 14 0.583 0.0937 0.0937 — —
2014-15 Rochester J.M./Lourdes USHS-MN-W 25 38 21 59 2.360 0.3790 0.3790 — —
2015-16 Rochester J.M./Lourdes USHS-MN-W 25 30 22 52 2.080 0.3340 0.3340 — —
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2019-20 Ohio State D1 WCHA-W SR 38 6 5 11 0.289
2018-19 Ohio State D1 WCHA-W JR 35 4 0 4 0.114
2017-18 Ohio State D1 WCHA-W SO 39 6 2 8 0.205
2016-17 Ohio State D1 WCHA-W FR 36 6 4 10 0.278
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.28
2016-17 · Ohio State
-7.7% vs. projection

NCAAe Rankings

#2139
Forward overall
#184
in USHS-MN-W

D1 Comparables

Catherine Skaja
USHS-MN-W · 2012-13 · 2.08 PPG
→ Minnesota (0.34 D1 FR PPG)
0.33 Developing
NCAAe PPG
Rebekah Kolstad
USHS-MN-W · 2012-13 · 2.09 PPG
→ North Dakota (0.06 D1 FR PPG)
0.34 Developing
NCAAe PPG
Emily Bergland
USHS-MN-W · 2013-14 · 2.04 PPG
→ Bemidji State (0.11 D1 FR PPG)
0.33 Developing
NCAAe PPG
Sylvia Marolt
USHS-MN-W · 2012-13 · 2.12 PPG
→ Bemidji State
0.34 No data
NCAAe PPG
Demi Gardner
USHS-MN-W · 2012-13 · 2.12 PPG
→ Minnesota (0.25 D1 FR PPG)
0.34 Developing
NCAAe PPG

D2/3 Comparables

Catherine Skaja
Minnesota ·
0.342 Developing
actual D2/3 PPG
Rebekah Kolstad
North Dakota ·
0.057 Developing
actual D2/3 PPG
Emily Bergland
Bemidji State ·
0.114 Developing
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.