| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | — | USHL | 38 | 2 | 6 | 8 | 0.210 | 0.1294 | 0.1294 | 0.6202 | 0.6202 |
| 2020-21 | — | USHL | 53 | 3 | 23 | 26 | 0.491 | 0.3016 | 0.3016 | 1.4454 | 1.4454 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | New Hampshire | D1 | HockeyEast | SR | 35 | 4 | 13 | 17 | 0.486 |
| 2023-24 | New Hampshire | D1 | HockeyEast | JR | 36 | 1 | 13 | 14 | 0.389 |
| 2022-23 | New Hampshire | D1 | HockeyEast | SO | 35 | 1 | 8 | 9 | 0.257 |
| 2021-22 | New Hampshire | D1 | HockeyEast | FR | 33 | 1 | 7 | 8 | 0.242 |
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.