| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Sioux Falls Stampede | USHL | 50 | 16 | 27 | 43 | 0.860 | 0.5476 | 0.5769 | 2.5772 | 2.7150 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Michigan | D1 | BigTen | — | 29 | 9 | 14 | 23 | 0.793 |
| 2023-24 | Western Michigan | D1 | NCHC | — | 29 | 9 | 14 | 23 | 0.793 |
| 2022-23 | Boston University | D1 | HockeyEast | — | 29 | 4 | 7 | 11 | 0.379 |
| 2021-22 | Boston University | D1 | HockeyEast | — | 28 | 6 | 11 | 17 | 0.607 |
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.