| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | OJHL | 53 | 11 | 18 | 29 | 0.547 | 0.1644 | 0.1759 | 0.3746 | 0.4008 |
| 2022-23 | — | OJHL | 54 | 16 | 45 | 61 | 1.130 | 0.3393 | 0.3457 | 0.7732 | 0.7877 |
| 2023-24 | — | OJHL | 52 | 42 | 58 | 100 | 1.923 | 0.5777 | 0.5585 | 1.3164 | 1.2727 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Merrimack | D1 | HockeyEast | SO | 34 | 13 | 22 | 35 | 1.029 |
| 2024-25 | Niagara | D1 | AHA | — | 36 | 12 | 27 | 39 | 1.083 |
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.