| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Tampa Bay Juniors | USPHL-Elite | 43 | 13 | 28 | 41 | 0.954 | 0.0880 | 0.0969 | 0.2184 | 0.2406 |
| 2019-20 | Boston Jr. Rangers | EHLP | 40 | 18 | 27 | 45 | 1.125 | 0.1290 | 0.1290 | 0.2536 | 0.2536 |
| 2020-21 | New Hampshire Jr. Monarchs | USPHL-Premier | 15 | 13 | 14 | 27 | 1.800 | 0.2354 | 0.2354 | 0.6109 | 0.6109 |
| 2021-22 | New Hampshire Jr. Monarchs | USPHL-Premier | 40 | 12 | 21 | 33 | 0.825 | 0.1079 | 0.1078 | 0.2800 | 0.2796 |
| 2022-23 | King Rebellion | OJHL | 52 | 13 | 12 | 25 | 0.481 | 0.1178 | 0.1099 | 0.3310 | 0.3089 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Canton | D3 | SUNYAC | JR | 16 | 4 | 0 | 4 | 0.250 |
| 2024-25 | Canton | D3 | SUNYAC | SO | 15 | 3 | 3 | 6 | 0.400 |
| 2023-24 | Canton | D3 | SUNYAC | FR | 18 | 3 | 5 | 8 | 0.444 |
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.