| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | USHL | 8 | 0 | 1 | 1 | 0.125 | 0.0768 | 0.0839 | 0.3683 | 0.4025 |
| 2019-20 | Berkshire School | NE-Prep | 30 | 20 | 25 | 45 | 1.500 | 0.4232 | 0.4232 | 0.6864 | 0.6864 |
| 2020-21 | — | USHL | 52 | 10 | 23 | 33 | 0.635 | 0.3901 | 0.3901 | 1.8697 | 1.8697 |
| 2021-22 | — | USHL | 57 | 24 | 58 | 82 | 1.439 | 0.8843 | 0.8332 | 4.2384 | 3.9933 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Denver | D1 | NCHC | SR | 44 | 21 | 34 | 55 | 1.250 |
| 2023-24 | Denver | D1 | NCHC | JR | 44 | 11 | 19 | 30 | 0.682 |
| 2022-23 | Denver | D1 | NCHC | SO | 32 | 10 | 22 | 32 | 1.000 |
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.