| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Notre Dame Hounds | SJHL | 4 | 0 | 2 | 2 | 0.500 | 0.1281 | 0.1390 | 0.3769 | 0.4090 |
| 2024-25 | Notre Dame Hounds | SJHL | 40 | 5 | 3 | 8 | 0.200 | 0.0512 | 0.0528 | 0.1508 | 0.1556 |
| 2025-26 | Warman Wolverines | SJHL | 52 | 2 | 4 | 6 | 0.115 | 0.0296 | 0.0290 | 0.0870 | 0.0852 |
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.