| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | NAHL | 54 | 13 | 26 | 39 | 0.722 | 0.2653 | 0.2880 | — | — |
| 2019-20 | — | USHL | 43 | 12 | 16 | 28 | 0.651 | 0.3841 | 0.3841 | 1.9541 | 1.9541 |
| 2020-21 | — | USHL | 47 | 19 | 25 | 44 | 0.936 | 0.5523 | 0.5523 | 2.8093 | 2.8093 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Ohio State | D1 | BigTen | — | 31 | 9 | 7 | 16 | 0.516 |
| 2022-23 | Ohio State | D1 | BigTen | — | 40 | 15 | 5 | 20 | 0.500 |
| 2021-22 | Ohio State | D1 | BigTen | — | 37 | 8 | 17 | 25 | 0.676 |
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.