| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | St. Thomas Academy | USHS-MN | 31 | 8 | 19 | 27 | 0.871 | 0.2345 | 0.2345 | 0.2116 | 0.2116 |
| 2020-21 | — | NAHL | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | — | USHL | 59 | 15 | 19 | 34 | 0.576 | 0.3670 | 0.3597 | 1.7270 | 1.6927 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Denver | D1 | NCHC | — | 44 | 15 | 10 | 25 | 0.568 |
| 2022-23 | Denver | D1 | NCHC | — | 34 | 8 | 4 | 12 | 0.353 |
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.