| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Omaha Lancers | USHL | 4 | 0 | 3 | 3 | 0.750 | 0.4610 | 0.4610 | 2.2096 | 2.2096 |
| 2021-22 | — | USHL | 53 | 0 | 20 | 20 | 0.377 | 0.2320 | 0.2411 | 1.1119 | 1.1557 |
| 2022-23 | Youngstown Phantoms | USHL | 61 | 2 | 25 | 27 | 0.443 | 0.2721 | 0.2687 | 1.3040 | 1.2876 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Providence | D1 | HockeyEast | JR | 34 | 3 | 11 | 14 | 0.412 |
| 2024-25 | Providence | D1 | HockeyEast | SO | 34 | 2 | 12 | 14 | 0.412 |
| 2023-24 | Providence | D1 | HockeyEast | FR | 18 | 0 | 3 | 3 | 0.167 |
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.