| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Tri-City Storm | USHL | 48 | 5 | 4 | 9 | 0.188 | 0.1153 | 0.1153 | 0.5524 | 0.5524 |
| 2020-21 | — | USHL | 27 | 3 | 2 | 5 | 0.185 | 0.1138 | 0.1138 | 0.5456 | 0.5456 |
| 2021-22 | — | USHL | 60 | 18 | 25 | 43 | 0.717 | 0.4406 | 0.4502 | 2.1115 | 2.1574 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ohio State | D1 | BigTen | SR | 37 | 12 | 20 | 32 | 0.865 |
| 2024-25 | Ohio State | D1 | BigTen | JR | 40 | 14 | 19 | 33 | 0.825 |
| 2023-24 | Ohio State | D1 | BigTen | SO | 38 | 9 | 17 | 26 | 0.684 |
| 2022-23 | Ohio State | D1 | BigTen | FR | 40 | 14 | 7 | 21 | 0.525 |
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.