| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Soo Eagles | NOJHL | 9 | 4 | 3 | 7 | 0.778 | 0.1299 | 0.1299 | 0.3238 | 0.3238 |
| 2020-21 | Maryland Black Bears | NAHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Soo Eagles | NOJHL | 47 | 27 | 29 | 56 | 1.192 | 0.1990 | 0.1979 | 0.4960 | 0.4931 |
| 2022-23 | Soo Eagles | NOJHL | 58 | 21 | 34 | 55 | 0.948 | 0.1584 | 0.1507 | 0.3948 | 0.3756 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Grand Valley State University | ACHA_D1 | — | — | 32 | 4 | 12 | 16 | 0.500 |
| 2024-25 | Grand Valley State University | ACHA_D1 | — | — | 32 | 4 | 12 | 16 | 0.500 |
| 2023-24 | Grand Valley State University | ACHA_D1 | — | — | 32 | 4 | 12 | 16 | 0.500 |
| 2022-23 | Grand Valley State University | ACHA_D1 | — | — | 32 | 4 | 12 | 16 | 0.500 |
| 2021-22 | Grand Valley State University | ACHA_D1 | — | — | 32 | 4 | 12 | 16 | 0.500 |
| 2020-21 | Grand Valley State University | ACHA_D1 | — | — | 32 | 4 | 12 | 16 | 0.500 |
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.