| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Waywayseecappo Wolverines | MJHL | 34 | 2 | 20 | 22 | 0.647 | 0.1831 | 0.1831 | 0.4077 | 0.4078 |
| 2023-24 | Waywayseecappo Wolverines | MJHL | 57 | 11 | 31 | 42 | 0.737 | 0.2084 | 0.1975 | 0.4643 | 0.4400 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Stevens Point | D3 | WIAC | SO | 27 | 2 | 8 | 10 | 0.370 |
| 2024-25 | Wisconsin-Stevens Point | D3 | WIAC | FR | 14 | 0 | 3 | 3 | 0.214 |
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.