| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | USHL | 1 | 1 | 0 | 1 | 1.000 | 0.6147 | 0.6739 | 2.9462 | 3.2301 |
| 2024-25 | Green Bay Gamblers | USHL | 52 | 44 | 27 | 71 | 1.365 | 0.8393 | 0.8357 | 4.0227 | 4.0053 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | North Dakota | D1 | NCHC | FR | 38 | 18 | 16 | 34 | 0.895 |
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.