| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Holy Family | USHS-MN | 22 | 0 | 5 | 5 | 0.227 | 0.0288 | 0.0288 | 0.0552 | 0.0552 |
| 2022-23 | Holy Family | USHS-MN | 26 | 14 | 15 | 29 | 1.115 | 0.1412 | 0.1412 | — | — |
| 2023-24 | Holy Family | USHS-MN | 26 | 16 | 15 | 31 | 1.192 | 0.1509 | 0.1509 | 0.2896 | 0.2896 |
| 2024-25 | Bismarck Bobcats | NAHL | 29 | 3 | 4 | 7 | 0.241 | 0.0887 | 0.0912 | 0.2548 | 0.2619 |
| 2025-26 | Des Moines Buccaneers | USHL | 26 | 0 | 1 | 1 | 0.038 | 0.0227 | 0.0212 | 0.1156 | 0.1081 |
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.