| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | — | USHL | 49 | 1 | 8 | 9 | 0.184 | 0.1129 | 0.1129 | 0.5412 | 0.5412 |
| 2021-22 | — | USHL | 61 | 3 | 42 | 45 | 0.738 | 0.4535 | 0.4774 | 2.1734 | 2.2881 |
| 2022-23 | — | USHL | 48 | 6 | 30 | 36 | 0.750 | 0.4610 | 0.4614 | 2.2096 | 2.2114 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | North Dakota | D1 | NCHC | JR | 39 | 5 | 20 | 25 | 0.641 |
| 2024-25 | North Dakota | D1 | NCHC | SO | 38 | 4 | 24 | 28 | 0.737 |
| 2023-24 | North Dakota | D1 | NCHC | FR | 40 | 5 | 24 | 29 | 0.725 |
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.