| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Chippewa Steel | NAHL | 35 | 9 | 9 | 18 | 0.514 | 0.1890 | 0.2077 | — | — |
| 2024-25 | Tri-City Storm | USHL | 62 | 9 | 10 | 19 | 0.306 | 0.1808 | 0.1813 | 0.9197 | 0.9220 |
| 2025-26 | Tri-City Storm | USHL | 61 | 11 | 14 | 25 | 0.410 | 0.2417 | 0.2306 | 1.2297 | 1.1734 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Vermont | D1 | HockeyEast | FR | 0 | 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.