| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | — | USHL | 14 | 4 | 2 | 6 | 0.429 | 0.2635 | 0.2899 | 1.2627 | 1.3891 |
| 2017-18 | U.S. National U18 Team | NTDP-U18 | 61 | 15 | 20 | 35 | 0.574 | 0.4449 | 0.4321 | 2.1356 | 2.0742 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | North Dakota | D1 | NCHC | GR | 36 | 11 | 7 | 18 | 0.500 |
| 2021-22 | North Dakota | D1 | NCHC | SR | 18 | 6 | 3 | 9 | 0.500 |
| 2020-21 | North Dakota | D1 | NCHC | JR | 28 | 6 | 3 | 9 | 0.321 |
| 2019-20 | North Dakota | D1 | NCHC | SO | 28 | 2 | 8 | 10 | 0.357 |
| 2018-19 | North Dakota | D1 | NCHC | FR | 31 | 6 | 3 | 9 | 0.290 |
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.