| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Islanders Hockey Club | NCDC | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Chicago Steel | USHL | 50 | 12 | 13 | 25 | 0.500 | 0.3074 | 0.3261 | 1.4731 | 1.5626 |
| 2019-20 | Lincoln Stars | USHL | 46 | 21 | 23 | 44 | 0.957 | 0.5880 | 0.5880 | 2.8180 | 2.8180 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Penn State | D1 | BigTen | SR | 25 | 2 | 6 | 8 | 0.320 |
| 2022-23 | Penn State | D1 | BigTen | JR | 38 | 7 | 10 | 17 | 0.447 |
| 2021-22 | Penn State | D1 | BigTen | SO | 38 | 5 | 7 | 12 | 0.316 |
| 2020-21 | Penn State | D1 | BigTen | FR | 21 | 5 | 6 | 11 | 0.524 |
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.