IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Timmy Organ Elite Prospects ↗

Position: Defense DOB: 2000-07-02 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
2018-19 Toledo Cherokee USPHL-Premier 16 7 7 14 0.875 0.1178 0.1222 0.2979 0.3090
2019-20 — NAHL 11 0 1 1 0.091 0.0338 0.0338 0.0962 0.0962
2020-21 Toledo Cherokee USPHL-Premier 28 10 28 38 1.357 0.1827 0.1827 0.4620 0.4620
■ 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
2024-25 Trine D3 NCHA SR 27 4 8 12 0.444
2023-24 Trine D3 NCHA JR 28 2 13 15 0.536
2022-23 Trine D3 NCHA SO 26 4 9 13 0.500
2021-22 Trine D3 NCHA FR 21 1 3 4 0.191
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.19
2021-22 · Trine
+65.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
85%
Other

NCAAe Rankings

#9769
Defenseman overall
#1340
Defenseman born in 2000
#1198
in USPHL-Premier

D1 Comparables

Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.11 Strong D
NCAAe PPG
Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.11 Average D
NCAAe PPG
Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.17 Strong D
NCAAe PPG
Chris Leibinger
USHL · 2012-13 · 0.33 PPG
→ Michigan Tech (0.13 D1 FR PPG)
0.21 Developing D
NCAAe PPG
Zach Yoder
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.31 D1 FR PPG)
0.07 Strong D
NCAAe PPG

D2/3 Comparables

Nathan Young
Elmira · 2018-19
0.353 Average
actual D2/3 PPG
Spencer Gourlay
SUNY Cortland · 2011-12
0.364 Average
actual D2/3 PPG
Dustin Sieben
Northland · 2000-01
0.809 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.