| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Austin Bruins | NAHL | 37 | 1 | 2 | 3 | 0.081 | 0.0321 | 0.0321 | — | — |
| 2020-21 | Austin Bruins | NAHL | 55 | 5 | 23 | 28 | 0.509 | 0.2017 | 0.2017 | 0.5345 | 0.5345 |
| 2021-22 | Cedar Rapids RoughRiders | USHL | 62 | 8 | 25 | 33 | 0.532 | 0.3272 | 0.3094 | 1.5683 | 1.4830 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Michigan | D1 | BigTen | — | 17 | 0 | 3 | 3 | 0.176 |
| 2025-26 | Michigan State | D1 | BigTen | SR | 17 | 0 | 3 | 3 | 0.176 |
| 2024-25 | Ferris State | D1 | CCHA | SR | 36 | 6 | 12 | 18 | 0.500 |
| 2023-24 | Ferris State | D1 | CCHA | JR | 36 | 4 | 16 | 20 | 0.556 |
| 2022-23 | Ferris State | D1 | CCHA | SO | 32 | 4 | 7 | 11 | 0.344 |
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.