| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Des Moines Buccaneers | USHL | 16 | 2 | 1 | 3 | 0.188 | 0.1153 | 0.1132 | 0.5524 | 0.5422 |
| 2022-23 | Fargo Force | USHL | 58 | 21 | 15 | 36 | 0.621 | 0.3815 | 0.3546 | 1.8287 | 1.7000 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | North Dakota | D1 | NCHC | JR | 35 | 5 | 7 | 12 | 0.343 |
| 2024-25 | Minnesota | D1 | BigTen | — | 34 | 12 | 7 | 19 | 0.559 |
| 2024-25 | Minnesota Duluth | D1 | NCHC | — | 35 | 12 | 7 | 19 | 0.543 |
| 2023-24 | Minnesota | D1 | BigTen | — | 37 | 8 | 2 | 10 | 0.270 |
| 2023-24 | Minnesota Duluth | D1 | NCHC | — | 37 | 8 | 2 | 10 | 0.270 |
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.