| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Holderness | NE-Prep | 29 | 12 | 17 | 29 | 1.000 | 0.2821 | 0.2821 | 0.4576 | 0.4576 |
| 2023-24 | Holderness | NE-Prep | 29 | 21 | 30 | 51 | 1.759 | 0.4961 | 0.4961 | 0.8047 | 0.8047 |
| 2024-25 | New Jersey Jr. Titans | NAHL | 9 | 1 | 1 | 2 | 0.222 | 0.0880 | 0.0861 | 0.2333 | 0.2283 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bowdoin | D3 | NESCAC | FR | 3 | 0 | 0 | 0 | 0.000 |
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.