| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Trinity-Pawling | NE-Prep | 24 | 5 | 11 | 16 | 0.667 | 0.1321 | 0.1321 | 0.3037 | 0.3037 |
| 2019-20 | Trinity-Pawling | NE-Prep | 25 | 18 | 24 | 42 | 1.680 | 0.3328 | 0.3328 | 0.7654 | 0.7654 |
| 2020-21 | Johnstown Tomahawks | NAHL | 51 | 24 | 30 | 54 | 1.059 | 0.3890 | 0.3890 | 1.1176 | 1.1176 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Holy Cross | D1 | AHA | — | 37 | 7 | 10 | 17 | 0.460 |
| 2023-24 | Holy Cross | D1 | AHA | — | 38 | 6 | 7 | 13 | 0.342 |
| 2022-23 | Holy Cross | D1 | AHA | — | 38 | 0 | 3 | 3 | 0.079 |
| 2021-22 | Holy Cross | D1 | AHA | — | 36 | 2 | 10 | 12 | 0.333 |
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.