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Tommy Ritchie Elite Prospects ↗

Position: Defense DOB: 1996-08-31 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 Rochester Jr. Americans USPHL-Premier-Classic 35 5 1 6 0.171 0.0481 0.0491 0.1410 0.1440
2016-17 P.A.L. Junior Islanders USPHL-Premier-Classic 29 4 6 10 0.345 0.0968 0.0941 0.2836 0.2758
■ 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 Cortland D1 — JR 25 4 6 10 0.400
2019-20 SUNY Cortland D3 SUNYAC JR 25 4 6 10 0.400
2018-19 Cortland D1 — SO 20 2 1 3 0.150
2018-19 SUNY Cortland D3 SUNYAC SO 20 2 1 3 0.150
2017-18 SUNY Cortland D3 SUNYAC FR 24 3 6 9 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.38
2017-18 · SUNY Cortland
+422.3% vs. projection

NCAAe Rankings

#21012
Defenseman overall
#2454
Defenseman born in 1996
#268
in USPHL-Premier-Classic

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG

D2/3 Comparables

Ryan Smith
Castleton · 2013-14
0.385 Average
actual D2/3 PPG
Matt Hall
St. Thomas · 2003-04
0.286 Developing
actual D2/3 PPG
Steven Pratt
St. Norbert · 2007-08
0.364 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.