| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | OJHL | 3 | 0 | 2 | 2 | 0.667 | 0.1634 | 0.1913 | 0.4590 | 0.5373 |
| 2018-19 | — | USHL | 55 | 10 | 24 | 34 | 0.618 | 0.3647 | 0.4052 | 1.8567 | 2.0630 |
| 2019-20 | — | USHL | 46 | 13 | 25 | 38 | 0.826 | 0.4873 | 0.4873 | 2.4811 | 2.4811 |
| 2020-21 | — | USHL | 52 | 10 | 38 | 48 | 0.923 | 0.5445 | 0.5445 | 2.7724 | 2.7724 |
| 2021-22 | — | USHL | 62 | 35 | 60 | 95 | 1.532 | 0.9039 | 0.8682 | 4.6021 | 4.4204 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Ohio State | D1 | BigTen | — | 38 | 10 | 26 | 36 | 0.947 |
| 2022-23 | Ohio State | D1 | BigTen | — | 40 | 9 | 32 | 41 | 1.025 |
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.