| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Jersey Hitmen | NCDC | 7 | 2 | 2 | 4 | 0.571 | 0.2330 | 0.2557 | 0.4593 | 0.5041 |
| 2023-24 | Dubuque Fighting Saints | USHL | 45 | 10 | 11 | 21 | 0.467 | 0.2753 | 0.2755 | 1.4017 | 1.4025 |
| 2024-25 | Dubuque Fighting Saints | USHL | 57 | 9 | 10 | 19 | 0.333 | 0.1966 | 0.1867 | 1.0010 | 0.9505 |
| 2025-26 | Cedar Rapids RoughRiders | USHL | 62 | 28 | 28 | 56 | 0.903 | 0.5328 | 0.4802 | 2.7127 | 2.4448 |
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.