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Tom Terranova Elite Prospects ↗

Position: Forward DOB: 1997-07-14 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
2016-17 — USPHL-Premier-Classic 37 6 7 13 0.351 0.1055 0.1072 0.2894 0.2940
2017-18 Utica Jr. Comets NCDC 45 9 17 26 0.578 0.1628 0.1550 0.4678 0.4454
■ 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
2021-22 SUNY Potsdam D3 SUNYAC SR 22 7 4 11 0.500
2019-20 SUNY Potsdam D3 — SO 27 4 12 16 0.593
2018-19 SUNY Potsdam D3 — FR 23 2 4 6 0.261
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.26
2018-19 · SUNY Potsdam
+124.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#29695
Forward overall
#1319
Forward born in 1997

D1 Comparables

Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG

D2/3 Comparables

Shawn O'Malley
Aurora · 2017-18
0.696 Strong
actual D2/3 PPG
Jay Dardis
Wisconsin-Superior · 2000-01
1.037 Elite
actual D2/3 PPG
Elliot Van Orsdel
Southern Maine · 2021-22
0.444 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.