| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Brunswick | NE-Prep | 28 | 11 | 11 | 22 | 0.786 | 0.1556 | 0.1556 | 0.3580 | 0.3580 |
| 2022-23 | Brunswick | NE-Prep | 29 | 6 | 8 | 14 | 0.483 | 0.0956 | 0.0956 | 0.2200 | 0.2200 |
| 2023-24 | Brunswick | NE-Prep | 32 | 6 | 9 | 15 | 0.469 | 0.0929 | 0.0929 | 0.2136 | 0.2136 |
| 2024-25 | New Mexico Ice Wolves | NAHL | 46 | 9 | 18 | 27 | 0.587 | 0.2157 | 0.2176 | 0.6196 | 0.6250 |
| 2025-26 | New Mexico Ice Wolves | NAHL | 52 | 29 | 30 | 59 | 1.135 | 0.4169 | 0.4000 | 1.1976 | 1.1492 |
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.