| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | New Hampshire Avalanche | EHLP | 18 | 2 | 1 | 3 | 0.167 | 0.0315 | 0.0322 | 0.0375 | 0.0384 |
| 2023-24 | New Hampshire Avalanche | EHLP | 36 | 6 | 16 | 22 | 0.611 | 0.1154 | 0.1127 | 0.1376 | 0.1344 |
| 2024-25 | New Hampshire Avalanche | EHL | 5 | 1 | 2 | 3 | 0.600 | 0.2111 | 0.2071 | 0.2942 | 0.2886 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Nichols | D3 | CNE | FR | 4 | 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.