| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Brooks School | NE-Prep | 24 | 5 | 9 | 14 | 0.583 | 0.1125 | 0.1125 | 0.2669 | 0.2669 |
| 2022-23 | Brooks School | NE-Prep | 25 | 20 | 21 | 41 | 1.640 | 0.3164 | 0.3164 | 0.7505 | 0.7505 |
| 2023-24 | New Hampshire Mountain Kings | NAHL | 8 | 1 | 0 | 1 | 0.125 | 0.0444 | 0.0454 | 0.1312 | 0.1341 |
| 2024-25 | South Shore Kings | NCDC | 53 | 30 | 32 | 62 | 1.170 | 0.2703 | 0.2628 | 0.9459 | 0.9197 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wesleyan | D3 | NESCAC | FR | 14 | 1 | 2 | 3 | 0.214 |
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.