| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Williston-Northampton | NE-Prep | 24 | 9 | 5 | 14 | 0.583 | 0.1645 | 0.1645 | 0.2669 | 0.2669 |
| 2022-23 | Williston-Northampton | NE-Prep | 30 | 14 | 16 | 30 | 1.000 | 0.2821 | 0.2821 | 0.4576 | 0.4576 |
| 2023-24 | — | CCHL | 56 | 11 | 20 | 31 | 0.554 | 0.1768 | 0.1695 | 0.4285 | 0.4109 |
| 2024-25 | Pembroke Lumber Kings | CCHL | 55 | 51 | 28 | 79 | 1.436 | 0.4586 | 0.4191 | 1.1119 | 1.0161 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bowdoin | D3 | NESCAC | FR | 21 | 8 | 8 | 16 | 0.762 |
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.