| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Sioux Falls Stampede | USHL | 10 | 1 | 3 | 4 | 0.400 | 0.2459 | 0.2566 | 1.1785 | 1.2297 |
| 2022-23 | Sioux Falls Stampede | USHL | 56 | 8 | 16 | 24 | 0.429 | 0.2635 | 0.2613 | 1.2627 | 1.2520 |
| 2023-24 | Waterloo Black Hawks | USHL | 46 | 10 | 8 | 18 | 0.391 | 0.2405 | 0.2265 | 1.1528 | 1.0858 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bowling Green | D1 | CCHA | SO | 14 | 1 | 1 | 2 | 0.143 |
| 2024-25 | Bowling Green | D1 | CCHA | — | 21 | 1 | 3 | 4 | 0.191 |
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.