| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | St. Cloud | USHS-MN | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | St. Cloud | USHS-MN | 15 | 4 | 8 | 12 | 0.800 | 0.1013 | 0.1013 | 0.1943 | 0.1943 |
| 2021-22 | St. Cloud | USHS-MN | 26 | 6 | 7 | 13 | 0.500 | 0.0633 | 0.0633 | 0.1215 | 0.1215 |
| 2023-24 | Notre Dame Hounds | SJHL | 34 | 2 | 5 | 7 | 0.206 | 0.0528 | 0.0517 | 0.1552 | 0.1519 |
| 2024-25 | Notre Dame Hounds | SJHL | 56 | 3 | 11 | 14 | 0.250 | 0.0640 | 0.0592 | 0.1885 | 0.1744 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | University of Utah | ACHA_D1 | — | — | 16 | 3 | 5 | 8 | 0.500 |
| 2024-25 | University of Utah | ACHA_D1 | — | — | 16 | 3 | 5 | 8 | 0.500 |
| 2023-24 | University of Utah | ACHA_D1 | — | — | 16 | 3 | 5 | 8 | 0.500 |
| 2022-23 | University of Utah | ACHA_D1 | — | — | 16 | 3 | 5 | 8 | 0.500 |
| 2021-22 | University of Utah | ACHA_D1 | — | — | 16 | 3 | 5 | 8 | 0.500 |
| 2020-21 | University of Utah | ACHA_D1 | — | — | 16 | 3 | 5 | 8 | 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.