| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Ogden Mustangs | NCDC | 43 | 7 | 6 | 13 | 0.302 | 0.0699 | 0.0703 | 0.2444 | 0.2458 |
| 2024-25 | — | NCDC | 45 | 8 | 13 | 21 | 0.467 | 0.1079 | 0.1037 | 0.3774 | 0.3628 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Beloit | D3 | WIAC | — | 24 | 5 | 2 | 7 | 0.292 |
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.