| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | AJHL | 2 | 1 | 1 | 2 | 1.000 | 0.3318 | 0.3946 | 0.9268 | 1.1022 |
| 2019-20 | — | AJHL | 51 | 20 | 23 | 43 | 0.843 | 0.2797 | 0.2797 | 0.7814 | 0.7814 |
| 2020-21 | — | AJHL | 7 | 2 | 1 | 3 | 0.429 | 0.1422 | 0.1422 | 0.3972 | 0.3972 |
| 2021-22 | — | USHL | 62 | 28 | 33 | 61 | 0.984 | 0.6048 | 0.6196 | 2.8988 | 2.9697 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | North Dakota | D1 | NCHC | SR | 40 | 21 | 11 | 32 | 0.800 |
| 2024-25 | North Dakota | D1 | NCHC | JR | 38 | 14 | 8 | 22 | 0.579 |
| 2023-24 | North Dakota | D1 | NCHC | SO | 40 | 9 | 10 | 19 | 0.475 |
| 2022-23 | North Dakota | D1 | NCHC | FR | 36 | 8 | 8 | 16 | 0.444 |
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.