| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Provo Predators | USPHL-Premier | 18 | 16 | 10 | 26 | 1.444 | 0.4761 | 0.4761 | 0.4914 | 0.4914 |
| 2021-22 | Oakville Blades | OJHL | 30 | 14 | 9 | 23 | 0.767 | 0.2303 | 0.2390 | 0.5248 | 0.5446 |
| 2022-23 | Wenatchee Wild | BCHL | 47 | 23 | 16 | 39 | 0.830 | 0.3091 | 0.3068 | 1.2091 | 1.2001 |
| 2023-24 | — | BCHL | 37 | 10 | 15 | 25 | 0.676 | 0.2517 | 0.2383 | 0.9846 | 0.9321 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Cornell | D1 | ECAC | SO | 9 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Cornell | D1 | ECAC | — | 4 | 0 | 0 | 0 | 0.000 |
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.