| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | NAHL | 25 | 1 | 3 | 4 | 0.160 | 0.0568 | 0.0568 | 0.1680 | 0.1680 |
| 2022-23 | New Hampshire Jr. Monarchs | NCDC | 50 | 15 | 30 | 45 | 0.900 | 0.2080 | 0.1986 | 0.7277 | 0.6947 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bowdoin | D3 | NESCAC | GR | 26 | 9 | 10 | 19 | 0.731 |
| 2024-25 | Bowdoin | D3 | NESCAC | SR | 24 | 2 | 2 | 4 | 0.167 |
| 2023-24 | Bowdoin | D3 | NESCAC | JR | 22 | 10 | 5 | 15 | 0.682 |
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.