| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Sioux Falls Stampede | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Leamington Flyers | OJHL | 53 | 4 | 12 | 16 | 0.302 | 0.0740 | 0.0794 | 0.2079 | 0.2230 |
| 2024-25 | — | BCHL | 53 | 5 | 8 | 13 | 0.245 | 0.0945 | 0.0977 | 0.3570 | 0.3692 |
| 2025-26 | Des Moines Buccaneers | USHL | 59 | 2 | 12 | 14 | 0.237 | 0.1400 | 0.1343 | 0.7127 | 0.6836 |
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.