| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | NTDP-U18 | 7 | 0 | 3 | 3 | 0.429 | 0.3323 | 0.3387 | 1.5952 | 1.6261 |
| 2019-20 | — | USHL | 47 | 6 | 7 | 13 | 0.277 | 0.1700 | 0.1700 | 0.8149 | 0.8149 |
| 2020-21 | — | USHL | 47 | 20 | 24 | 44 | 0.936 | 0.5755 | 0.5755 | 2.7582 | 2.7582 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Denver | D1 | NCHC | — | 40 | 22 | 15 | 37 | 0.925 |
| 2021-22 | Denver | D1 | NCHC | — | 41 | 14 | 24 | 38 | 0.927 |
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.