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Izzy Friedman 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
2016-17 Monsignor Martin USHS-W 20 8 6 14 0.700 0.2105 0.2105 — —
2017-18 Monsignor Martin USHS-W 18 6 9 15 0.833 0.2506 0.2506 — —
■ 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
2022-23 William Smith D3 NEHC SR 21 2 3 5 0.238
2021-22 William Smith D3 NEHC JR 25 1 2 3 0.120
2020-21 William Smith D3 NEHC SO 0 0 0 0 0.000
2019-20 William Smith D3 NEHC FR 27 1 5 6 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.22
2019-20 · William Smith
+10.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
0%
NCAA D2/D3
88%
Club / Other

NCAAe Rankings

#3310
Forward overall
#1182
in USHS-W

D1 Comparables

Danielle Marmer
19U-AAA-W · 2012-13 · 0.70 PPG
→ Quinnipiac (0.11 D1 FR PPG)
0.24 Developing
NCAAe PPG
Lindsay Roethke
USHS-MN-W · 2013-14 · 1.52 PPG
→ UConn (0.03 D1 FR PPG)
0.24 Developing
NCAAe PPG
Sydney Brodt
USHS-MN-W · 2013-14 · 1.54 PPG
→ Minnesota Duluth (0.60 D1 FR PPG)
0.25 Strong
NCAAe PPG
Brooklynn Schugel
USHS-MN-W · 2012-13 · 1.54 PPG
→ Minnesota Duluth (0.27 D1 FR PPG)
0.25 Developing
NCAAe PPG
Taylor Wente
USHS-MN-W · 2013-14 · 1.54 PPG
→ Minnesota (0.66 D1 FR PPG)
0.25 Strong
NCAAe PPG

D2/3 Comparables

McKenzie Rich
Franklin Pierce · 2021-22
0.219 Developing
actual D2/3 PPG
Kaylee Wood
Wisconsin-Superior · 2016-17
0.222 Developing
actual D2/3 PPG
Maddie McCollins
Wisconsin-River Falls · 2016-17
0.750 Strong
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.