| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | NMH | NE-Prep | 30 | 6 | 11 | 17 | 0.567 | 0.1142 | 0.1142 | 0.2594 | 0.2594 |
| 2019-20 | NMH | NE-Prep | 25 | 9 | 9 | 18 | 0.720 | 0.1452 | 0.1452 | 0.3295 | 0.3295 |
| 2020-21 | Maryland Black Bears | NAHL | 42 | 5 | 4 | 9 | 0.214 | 0.0796 | 0.0796 | 0.2269 | 0.2269 |
| 2021-22 | — | NAHL | 13 | 2 | 2 | 4 | 0.308 | 0.1142 | 0.1081 | 0.3258 | 0.3085 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Curry | D3 | CNE | — | 20 | 6 | 2 | 8 | 0.400 |
| 2024-25 | Curry | D3 | CNE | — | 25 | 11 | 10 | 21 | 0.840 |
| 2022-23 | UMass Boston | D3 | NEHC | FR | 25 | 5 | 3 | 8 | 0.320 |
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.