| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Springfield Jr. Blues | NAHL | 40 | 10 | 8 | 18 | 0.450 | 0.1653 | 0.1861 | — | — |
| 2023-24 | Langley Rivermen | BCHL | 43 | 4 | 6 | 10 | 0.233 | 0.0896 | 0.0949 | 0.3385 | 0.3584 |
| 2024-25 | Sioux Falls Stampede | USHL | 28 | 6 | 5 | 11 | 0.393 | 0.2318 | 0.2276 | 1.1800 | 1.1584 |
| 2025-26 | Sioux Falls Stampede | USHL | 51 | 17 | 23 | 40 | 0.784 | 0.4627 | 0.4319 | 2.3556 | 2.1987 |
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.