| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Cedar Rapids RoughRiders | USHL | 15 | 0 | 1 | 1 | 0.067 | 0.0410 | 0.0451 | 0.1965 | 0.2163 |
| 2019-20 | Cedar Rapids RoughRiders | USHL | 41 | 4 | 5 | 9 | 0.220 | 0.1349 | 0.1349 | 0.6467 | 0.6467 |
| 2020-21 | Youngstown Phantoms | USHL | 28 | 2 | 8 | 10 | 0.357 | 0.2195 | 0.2195 | 1.0521 | 1.0521 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | North Dakota | D1 | NCHC | JR | 32 | 1 | 3 | 4 | 0.125 |
| 2024-25 | North Dakota | D1 | NCHC | — | 1 | 0 | 1 | 1 | 1.000 |
| 2023-24 | North Dakota | D1 | NCHC | — | 33 | 0 | 8 | 8 | 0.242 |
| 2022-23 | Minnesota | D1 | BigTen | — | 0 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Minnesota | D1 | BigTen | — | 28 | 2 | 5 | 7 | 0.250 |
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.