| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Swan Valley Stampeders | MJHL | 46 | 5 | 12 | 17 | 0.370 | 0.1046 | 0.1086 | 0.2329 | 0.2418 |
| 2022-23 | Swan Valley Stampeders | MJHL | 58 | 24 | 36 | 60 | 1.034 | 0.2927 | 0.2902 | 0.6518 | 0.6462 |
| 2023-24 | — | MJHL | 58 | 21 | 31 | 52 | 0.897 | 0.2536 | 0.2381 | 0.5649 | 0.5304 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Wisconsin-Superior | D3 | WIAC | FR | 9 | 1 | 2 | 3 | 0.333 |
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.