| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Brainerd | USHS-MN | 26 | 11 | 13 | 24 | 0.923 | 0.2485 | 0.2485 | 0.2242 | 0.2242 |
| 2020-21 | — | NAHL | 9 | 0 | 1 | 1 | 0.111 | 0.0440 | 0.0440 | 0.1166 | 0.1166 |
| 2021-22 | — | USHL | 61 | 7 | 11 | 18 | 0.295 | 0.1814 | 0.1899 | 0.8694 | 0.9101 |
| 2022-23 | — | USHL | 59 | 16 | 35 | 51 | 0.864 | 0.5313 | 0.5285 | 2.5467 | 2.5335 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Denver | D1 | NCHC | JR | 43 | 18 | 21 | 39 | 0.907 |
| 2024-25 | Denver | D1 | NCHC | — | 44 | 11 | 24 | 35 | 0.795 |
| 2023-24 | Bemidji State | D1 | CCHA | — | 32 | 11 | 13 | 24 | 0.750 |
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.