| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Cambridge-Isanti | USHS-MN | 27 | 12 | 13 | 25 | 0.926 | 0.2493 | 0.2493 | 0.2249 | 0.2249 |
| 2022-23 | Cambridge-Isanti | USHS-MN | 26 | 25 | 22 | 47 | 1.808 | 0.4866 | 0.4866 | 0.4391 | 0.4391 |
| 2023-24 | Cambridge-Isanti | USHS-MN | 27 | 27 | 16 | 43 | 1.593 | 0.4287 | 0.4287 | 0.3868 | 0.3868 |
| 2024-25 | Granite City Lumberjacks | NA3HL | 33 | 15 | 18 | 33 | 1.000 | 0.1205 | 0.1217 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint John's | D3 | MIAC | FR | 22 | 3 | 3 | 6 | 0.273 |
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.