| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Millbrook | NE-Prep | 32 | 10 | 19 | 29 | 0.906 | 0.1748 | 0.1748 | 0.4147 | 0.4147 |
| 2020-21 | Millbrook | NE-Prep | 2 | 2 | 1 | 3 | 1.500 | 0.2893 | 0.2893 | 0.6864 | 0.6864 |
| 2021-22 | Cranbrook Bucks | BCHL | 46 | 5 | 17 | 22 | 0.478 | 0.1843 | 0.1764 | 0.6969 | 0.6671 |
| 2022-23 | Cranbrook Bucks | BCHL | 54 | 9 | 28 | 37 | 0.685 | 0.2640 | 0.2398 | 0.9984 | 0.9069 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hobart | D3 | SUNYAC | GR | 31 | 7 | 17 | 24 | 0.774 |
| 2024-25 | Hobart | D3 | SUNYAC | SR | 31 | 3 | 20 | 23 | 0.742 |
| 2023-24 | Hobart | D3 | SUNYAC | JR | 27 | 5 | 22 | 27 | 1.000 |
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.