| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Proctor Academy | NE-Prep | 31 | 16 | 9 | 25 | 0.806 | 0.2275 | 0.2275 | 0.3691 | 0.3691 |
| 2019-20 | Proctor Academy | NE-Prep | 27 | 11 | 15 | 26 | 0.963 | 0.2717 | 0.2717 | 0.4407 | 0.4407 |
| 2021-22 | Maryland Black Bears | NAHL | 6 | 1 | 0 | 1 | 0.167 | 0.0660 | 0.0649 | 0.1750 | 0.1721 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colby | D3 | NESCAC | SR | 16 | 2 | 1 | 3 | 0.188 |
| 2024-25 | Colby | D3 | NESCAC | JR | 8 | 0 | 1 | 1 | 0.125 |
| 2023-24 | Colby | D3 | NESCAC | SO | 16 | 6 | 0 | 6 | 0.375 |
| 2022-23 | Colby | D3 | NESCAC | FR | 18 | 2 | 1 | 3 | 0.167 |
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.