| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Toronto Patriots | OJHL | 31 | 9 | 12 | 21 | 0.677 | 0.2035 | 0.2133 | 0.4637 | 0.4861 |
| 2019-20 | Toronto Patriots | OJHL | 54 | 26 | 36 | 62 | 1.148 | 0.3449 | 0.3449 | 0.7859 | 0.7859 |
| 2020-21 | Youngstown Phantoms | USHL | 49 | 20 | 18 | 38 | 0.775 | 0.4767 | 0.4767 | 2.2848 | 2.2848 |
| 2021-22 | — | USHL | 61 | 16 | 18 | 34 | 0.557 | 0.3426 | 0.3039 | 1.6422 | 1.4567 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Augustana | D1 | CCHA | SR | 37 | 5 | 14 | 19 | 0.513 |
| 2024-25 | Ferris State | D1 | CCHA | — | 35 | 7 | 19 | 26 | 0.743 |
| 2023-24 | Western Michigan | D1 | NCHC | — | 3 | 0 | 1 | 1 | 0.333 |
| 2022-23 | Western Michigan | D1 | NCHC | — | 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.