| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Bismarck Bobcats | NAHL | 58 | 14 | 24 | 38 | 0.655 | 0.2327 | 0.2407 | — | — |
| 2023-24 | Bismarck Bobcats | NAHL | 54 | 20 | 30 | 50 | 0.926 | 0.3289 | 0.3245 | 0.9721 | 0.9591 |
| 2024-25 | Bismarck Bobcats | NAHL | 35 | 14 | 21 | 35 | 1.000 | 0.3552 | 0.3318 | 1.0499 | 0.9808 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Robert Morris | D1 | AHA | FR | 27 | 6 | 5 | 11 | 0.407 |
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.