| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Totino-Grace | USHS-MN | 20 | 3 | 5 | 8 | 0.400 | 0.0506 | 0.0506 | 0.0972 | 0.0972 |
| 2022-23 | Totino-Grace | USHS-MN | 25 | 8 | 8 | 16 | 0.640 | 0.0810 | 0.0810 | 0.1555 | 0.1555 |
| 2023-24 | Totino-Grace | USHS-MN | 26 | 26 | 19 | 45 | 1.731 | 0.2191 | 0.2191 | 0.7277 | 0.8195 |
| 2024-25 | Powell River Kings | BCHL | 18 | 3 | 2 | 5 | 0.278 | 0.1070 | 0.1151 | 0.4043 | 0.4350 |
| 2025-26 | Spruce Grove Saints | BCHL | 52 | 17 | 30 | 47 | 0.904 | 0.3482 | 0.3618 | 1.3153 | 1.3667 |
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.