| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Millbrook | NE-Prep | 24 | 0 | 4 | 4 | 0.167 | 0.0322 | 0.0322 | 0.0763 | 0.0763 |
| 2022-23 | Millbrook | NE-Prep | 26 | 1 | 13 | 14 | 0.538 | 0.1039 | 0.1039 | 0.2464 | 0.2464 |
| 2023-24 | Buffalo Jr. Sabres | OJHL | 21 | 1 | 4 | 5 | 0.238 | 0.0584 | 0.0567 | 0.1630 | 0.1582 |
| 2024-25 | Cornwall Colts | CCHL | 7 | 0 | 2 | 2 | 0.286 | 0.0620 | 0.0578 | 0.2212 | 0.2062 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Elmira | D3 | UCHC | FR | 9 | 0 | 1 | 1 | 0.111 |
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.