| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Boston Jr. Bruins | NCDC | 45 | 6 | 5 | 11 | 0.244 | 0.0565 | 0.0616 | 0.1969 | 0.2148 |
| 2022-23 | Haliburton County Huskies | OJHL | 12 | 1 | 0 | 1 | 0.083 | 0.0204 | 0.0208 | 0.0573 | 0.0583 |
| 2023-24 | Renfrew Wolves | CCHL | 29 | 9 | 24 | 33 | 1.138 | 0.2468 | 0.2401 | 0.8802 | 0.8565 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Salem State | D3 | MASCAC | — | 11 | 3 | 0 | 3 | 0.273 |
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.