| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | New Jersey Jr. Titans | NAHL | 27 | 5 | 11 | 16 | 0.593 | 0.2200 | 0.2200 | 0.6274 | 0.6274 |
| 2021-22 | — | NAHL | 38 | 6 | 10 | 16 | 0.421 | 0.1564 | 0.1561 | 0.4459 | 0.4450 |
| 2022-23 | New Jersey Rockets | NCDC | 19 | 3 | 3 | 6 | 0.316 | 0.0890 | 0.0848 | 0.2557 | 0.2436 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UMass Boston | D3 | — | JR | 26 | 1 | 4 | 5 | 0.192 |
| 2024-25 | UMass Boston | D3 | NEHC | SO | 19 | 3 | 3 | 6 | 0.316 |
| 2023-24 | UMass Boston | D3 | NEHC | FR | 16 | 1 | 2 | 3 | 0.188 |
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.