| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | New Jersey Rockets | NCDC | 40 | 13 | 13 | 26 | 0.650 | 0.2650 | 0.2725 | 0.5225 | 0.5374 |
| 2022-23 | New Jersey Rockets | NCDC | 50 | 25 | 33 | 58 | 1.160 | 0.4729 | 0.4665 | 0.9324 | 0.9198 |
| 2023-24 | New Jersey Rockets | NCDC | 48 | 35 | 25 | 60 | 1.250 | 0.5096 | 0.4738 | 1.0048 | 0.9343 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | University of New England | D3 | CNE | SO | 28 | 5 | 12 | 17 | 0.607 |
| 2024-25 | University of New England | D3 | CNE | — | 23 | 8 | 10 | 18 | 0.783 |
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.