| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Avon Old Farms | NE-Prep | 24 | 2 | 4 | 6 | 0.250 | 0.0495 | 0.0495 | 0.1139 | 0.1139 |
| 2022-23 | Avon Old Farms | NE-Prep | 28 | 9 | 12 | 21 | 0.750 | 0.1486 | 0.1486 | 0.3417 | 0.3417 |
| 2023-24 | Avon Old Farms | NE-Prep | 27 | 17 | 23 | 40 | 1.482 | 0.2935 | 0.2935 | — | — |
| 2024-25 | Lincoln Stars | USHL | 60 | 16 | 21 | 37 | 0.617 | 0.3638 | 0.3469 | 1.8522 | 1.7663 |
| 2025-26 | Lincoln Stars | USHL | 59 | 48 | 37 | 85 | 1.441 | 0.8499 | 0.7694 | 4.3270 | 3.9174 |
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.