| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Renfrew Wolves | CCHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Blind River Beavers | NOJHL | 22 | 4 | 5 | 9 | 0.409 | 0.0690 | 0.0681 | 0.1700 | 0.1677 |
| 2022-23 | Florida Jr. Blades | USPHL-Premier | 30 | 9 | 13 | 22 | 0.733 | 0.0987 | 0.0945 | 0.2496 | 0.2390 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UMass Dartmouth | D3 | — | JR | 6 | 0 | 0 | 0 | 0.000 |
| 2024-25 | UMass Dartmouth | D3 | — | SO | 7 | 1 | 0 | 1 | 0.143 |
| 2023-24 | Fredonia | D3 | SUNYAC | FR | 4 | 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.