| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Springfield Jr. Blues | NAHL | 48 | 4 | 4 | 8 | 0.167 | 0.0612 | 0.0662 | 0.1760 | 0.1903 |
| 2023-24 | Chippewa Steel | NAHL | 59 | 7 | 23 | 30 | 0.508 | 0.1868 | 0.1930 | 0.5367 | 0.5546 |
| 2024-25 | Salmon Arm Silverbacks | BCHL | 46 | 4 | 11 | 15 | 0.326 | 0.1256 | 0.1210 | 0.4746 | 0.4573 |
| 2025-26 | Salmon Arm Silverbacks | BCHL | 54 | 4 | 13 | 17 | 0.315 | 0.1213 | 0.1124 | 0.4581 | 0.4246 |
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.