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Anthony Mollica Elite Prospects ↗

Position: Defense DOB: 2001-06-07 Country: USA
No commitment set

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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
2019-20 Lincoln Stars USHL 26 1 3 4 0.154 0.0907 0.0907 0.4531 0.4531
2020-21 New Jersey Jr. Titans NAHL 43 5 10 15 0.349 0.1239 0.1239 0.3662 0.3662
2021-22 New Jersey Jr. Titans NAHL 50 8 13 21 0.420 0.1492 0.1414 0.4410 0.4180
■ 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
2025-26 Adrian D3 NCHA SR 26 4 5 9 0.346
2024-25 Adrian D3 NCHA — 28 1 10 11 0.393
2023-24 St. Lawrence D1 ECAC — 5 0 1 1 0.200
2022-23 St. Lawrence D1 ECAC — 12 0 1 1 0.083
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.08
2022-23 · St. Lawrence
-37.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
10%
NCAA D2/D3
52%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#11557
Defenseman overall
#2107
Defenseman born in 2001

D1 Comparables

Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Riley Christensen
St. Norbert · 2014-15
1.000 Elite
actual D2/3 PPG
Jody Sullivan
SUNY Oswego · 2015-16
0.400 Average
actual D2/3 PPG
Brayden Sampson
Aurora · 2017-18
0.518 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.