| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Flint Firebirds | OHL | 62 | 7 | 13 | 20 | 0.323 | 0.1866 | 0.2034 | 0.8447 | 0.9206 |
| 2024-25 | Flint Firebirds | OHL | 63 | 13 | 32 | 45 | 0.714 | 0.4132 | 0.4290 | 1.8703 | 1.9418 |
| 2025-26 | Flint Firebirds | OHL | 65 | 36 | 36 | 72 | 1.108 | 0.6408 | 0.6331 | 2.9004 | 2.8655 |
| 2026-27 | Flint Firebirds | OHL | 5 | 2 | 8 | 10 | 2.000 | 1.1570 | 1.1570 | 5.2368 | 5.2368 |
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.