| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Flint Firebirds | OHL | 9 | 0 | 4 | 4 | 0.444 | 0.2571 | 0.2847 | 1.1419 | 1.2646 |
| 2022-23 | Flint Firebirds | OHL | 55 | 3 | 3 | 6 | 0.109 | 0.0631 | 0.0672 | 0.2803 | 0.2983 |
| 2023-24 | Idaho Falls Spud Kings | NCDC | 20 | 13 | 5 | 18 | 0.900 | 0.3669 | 0.3878 | 0.7234 | 0.7646 |
| 2024-25 | Aberdeen Wings | NAHL | 34 | 9 | 13 | 22 | 0.647 | 0.2377 | 0.2400 | 0.6830 | 0.6896 |
| 2025-26 | Aberdeen Wings | NAHL | 55 | 24 | 30 | 54 | 0.982 | 0.3607 | 0.3465 | 1.0363 | 0.9954 |
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.