| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Holy Family | USHS-MN | 17 | 5 | 2 | 7 | 0.412 | 0.0521 | 0.0521 | 0.1000 | 0.1000 |
| 2021-22 | Holy Family | USHS-MN | 26 | 25 | 19 | 44 | 1.692 | 0.2142 | 0.2142 | 0.4111 | 0.4111 |
| 2022-23 | Holy Family | USHS-MN | 26 | 29 | 40 | 69 | 2.654 | 0.3360 | 0.3360 | 0.6446 | 0.6446 |
| 2023-24 | Ogden Mustangs | NCDC | 51 | 38 | 28 | 66 | 1.294 | 0.5276 | 0.5473 | 1.0402 | 1.0790 |
| 2024-25 | North Iowa Bulls | NAHL | 44 | 10 | 10 | 20 | 0.455 | 0.1670 | 0.1653 | 0.4797 | 0.4749 |
| 2025-26 | Houston Bulls | NAHL | 29 | 6 | 16 | 22 | 0.759 | 0.2787 | 0.2622 | 0.8007 | 0.7533 |
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.