| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Cushing Academy | NE-Prep | 25 | 13 | 10 | 23 | 0.920 | 0.1823 | 0.1823 | 0.4192 | 0.4192 |
| 2022-23 | Cushing Academy | NE-Prep | 32 | 27 | 27 | 54 | 1.688 | 0.3343 | 0.3343 | 0.7509 | 0.8114 |
| 2023-24 | Cedar Rapids RoughRiders | USHL | 59 | 14 | 16 | 30 | 0.508 | 0.3000 | 0.3093 | 1.5272 | 1.5745 |
| 2024-25 | Youngstown Phantoms | USHL | 61 | 16 | 19 | 35 | 0.574 | 0.3385 | 0.3317 | 1.7234 | 1.6888 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston College | D1 | HockeyEast | FR | 34 | 3 | 3 | 6 | 0.176 |
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.