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Bryce Freel Elite Prospects ↗

Position: Forward DOB: 1997-05-23 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
2015-16 Chicago Bulldogs NA3HL 44 1 5 6 0.136 0.0164 0.0169 0.0431 0.0444
2016-17 Chicago Bulldogs NA3HL 41 6 5 11 0.268 0.0323 0.0316 0.0848 0.0831
2017-18 Florida Eels USPHL-Premier 43 7 20 27 0.628 0.0845 0.0790 0.2137 0.1998
■ 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 Northland D3 — SO 11 0 1 1 0.091
2018-19 Northland D3 — FR 7 0 1 1 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.14
2018-19 · Northland
+178.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#51288
Forward overall
#2557
Forward born in 1997

D1 Comparables

Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Corson Searles
Bryn Athyn · 2018-19
0.500 Average
actual D2/3 PPG
Victor Nordenson
Manhattanville · 2006-07
0.222 Developing
actual D2/3 PPG
David Henry
Wisconsin-Eau Claire · 2012-13
0.538 Average
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.