| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Tri-City Storm | USHL | 8 | 1 | 0 | 1 | 0.125 | 0.0768 | 0.0852 | 0.3683 | 0.4085 |
| 2023-24 | Tri-City Storm | USHL | 34 | 3 | 14 | 17 | 0.500 | 0.3074 | 0.3257 | 1.4731 | 1.5606 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Providence | D1 | HockeyEast | SO | 27 | 0 | 3 | 3 | 0.111 |
| 2024-25 | Providence | D1 | HockeyEast | — | 32 | 2 | 3 | 5 | 0.156 |
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.