| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Springfield Jr. Blues | NAHL | 46 | 0 | 4 | 4 | 0.087 | 0.0320 | 0.0360 | 0.0918 | 0.1034 |
| 2023-24 | Springfield Jr. Blues | NAHL | 48 | 1 | 4 | 5 | 0.104 | 0.0383 | 0.0413 | 0.1100 | 0.1186 |
| 2024-25 | Springfield Jr. Blues | NAHL | 59 | 0 | 12 | 12 | 0.203 | 0.0747 | 0.0766 | 0.2147 | 0.2202 |
| 2025-26 | Springfield Jr. Blues | NAHL | 58 | 7 | 23 | 30 | 0.517 | 0.1900 | 0.1855 | 0.5459 | 0.5330 |
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.