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Tommy Donnelly Elite Prospects ↗

Position: Defense DOB: 1999-07-14 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
2017-18 Philadelphia Revolution EHL 4 1 0 1 0.250 0.0578 0.0612 0.1223 0.1295
2018-19 Philadelphia Revolution EHL 43 8 21 29 0.674 0.1558 0.1572 0.3300 0.3330
■ 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
2020-21 Elmira D1 UCHC SO 8 0 0 0 0.000
2020-21 Elmira D3 UCHC — 8 0 0 0 0.000
2019-20 Elmira D1 UCHC FR 19 1 5 6 0.316
2019-20 Elmira D3 UCHC — 19 1 5 6 0.316
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.32
2019-20 · Elmira
+181.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
35%
Other

NCAAe Rankings

#5110
Defenseman overall
#1157
Defenseman born in 1999
#568
in EHL

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG

D2/3 Comparables

Pat Deitz
Concordia · 2007-08
0.680 Strong
actual D2/3 PPG
Neal Sheehan
Fredonia · 2002-03
0.957 Strong
actual D2/3 PPG
Kyle Anderson
Wesleyan · 2018-19
0.000 No data
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.