| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Avon Old Farms | NE-Prep | 27 | 5 | 11 | 16 | 0.593 | 0.1672 | 0.1672 | 0.2712 | 0.2712 |
| 2022-23 | Avon Old Farms | NE-Prep | 28 | 3 | 16 | 19 | 0.679 | 0.1914 | 0.1914 | 0.3105 | 0.3105 |
| 2023-24 | Rochester Jr. Americans | NAHL | 25 | 1 | 8 | 9 | 0.360 | 0.1426 | 0.1398 | 0.3780 | 0.3705 |
| 2024-25 | Rochester Jr. Americans | NAHL | 56 | 5 | 33 | 38 | 0.679 | 0.2689 | 0.2494 | 0.7125 | 0.6609 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Stonehill | D1 | AHA | FR | 6 | 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.