| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Oakville Blades | OJHL | 55 | 27 | 21 | 48 | 0.873 | 0.2139 | 0.2096 | 0.6009 | 0.5889 |
| 2019-20 | Oakville Blades | OJHL | 51 | 29 | 57 | 86 | 1.686 | 0.4133 | 0.4133 | 1.1610 | 1.1610 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Nebraska Omaha | D1 | NCHC | — | 34 | 10 | 15 | 25 | 0.735 |
| 2023-24 | Alaska Fairbanks | D1 | WCHA | — | 33 | 20 | 6 | 26 | 0.788 |
| 2022-23 | Alaska Fairbanks | D1 | WCHA | — | 34 | 9 | 6 | 15 | 0.441 |
| 2021-22 | Alaska Fairbanks | D1 | WCHA | — | 29 | 4 | 8 | 12 | 0.414 |
| 2020-21 | Alaska Fairbanks | D1 | WCHA | — | 0 | 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.