| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | St. Thomas Academy | USHS-MN | 21 | 11 | 15 | 26 | 1.238 | 0.3333 | 0.3333 | 0.3007 | 0.3007 |
| 2021-22 | Minnesota Magicians | NAHL | 12 | 2 | 4 | 6 | 0.500 | 0.1981 | 0.2184 | 0.5250 | 0.5789 |
| 2022-23 | Madison Capitols | USHL | 38 | 4 | 5 | 9 | 0.237 | 0.1456 | 0.1470 | 0.6977 | 0.7046 |
| 2023-24 | Wisconsin Windigo | NAHL | 53 | 23 | 39 | 62 | 1.170 | 0.4635 | 0.4661 | 1.2282 | 1.2352 |
| 2024-25 | West Kelowna Warriors | BCHL | 36 | 13 | 13 | 26 | 0.722 | 0.2690 | 0.2518 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Dartmouth | D1 | ECAC | FR | 5 | 0 | 0 | 0 | 0.000 |
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.