| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Cranbrook Bucks | BCHL | 15 | 3 | 0 | 3 | 0.200 | 0.0745 | 0.0745 | 0.2914 | 0.2914 |
| 2021-22 | Cranbrook Bucks | BCHL | 53 | 5 | 12 | 17 | 0.321 | 0.1195 | 0.1155 | 0.4674 | 0.4518 |
| 2022-23 | Cranbrook Bucks | BCHL | 50 | 10 | 22 | 32 | 0.640 | 0.2384 | 0.2188 | 0.9325 | 0.8557 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Merrimack | D1 | HockeyEast | — | 39 | 1 | 7 | 8 | 0.205 |
| 2024-25 | Merrimack | D1 | HockeyEast | — | 32 | 0 | 1 | 1 | 0.031 |
| 2023-24 | Lake Superior State | D1 | CCHA | — | 37 | 1 | 8 | 9 | 0.243 |
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.