| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | New Jersey Rockets | NCDC | 43 | 20 | 35 | 55 | 1.279 | 0.2956 | 0.3139 | 1.0343 | 1.0984 |
| 2022-23 | Dubuque Fighting Saints | USHL | 5 | 0 | 1 | 1 | 0.200 | 0.1180 | 0.1148 | 0.5892 | 0.5731 |
| 2023-24 | — | BCHL | 55 | 9 | 30 | 39 | 0.709 | 0.2732 | 0.2593 | 1.0332 | 0.9807 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Babson | D3 | LittleEast | SO | 27 | 9 | 23 | 32 | 1.185 |
| 2024-25 | Skidmore | D3 | SUNYAC | — | 27 | 10 | 17 | 27 | 1.000 |
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.