| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Green Bay Gamblers | USHL | 2 | 1 | 1 | 2 | 1.000 | 0.6147 | 0.6865 | 2.9462 | 3.2905 |
| 2019-20 | Green Bay Gamblers | USHL | 5 | 1 | 0 | 1 | 0.200 | 0.1229 | 0.1229 | 0.5892 | 0.5892 |
| 2020-21 | Green Bay Gamblers | USHL | 50 | 23 | 20 | 43 | 0.860 | 0.5286 | 0.5286 | 2.5337 | 2.5337 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | North Dakota | D1 | NCHC | SR | 36 | 7 | 8 | 15 | 0.417 |
| 2023-24 | North Dakota | D1 | NCHC | JR | 37 | 9 | 10 | 19 | 0.513 |
| 2022-23 | North Dakota | D1 | NCHC | SO | 24 | 5 | 0 | 5 | 0.208 |
| 2021-22 | North Dakota | D1 | NCHC | FR | 31 | 3 | 3 | 6 | 0.194 |
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.