| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Renfrew Wolves | CCHL | 25 | 0 | 6 | 6 | 0.240 | 0.0685 | 0.0718 | 0.1858 | 0.1949 |
| 2018-19 | Blind River Beavers | NOJHL | 54 | 26 | 44 | 70 | 1.296 | 0.2186 | 0.2080 | 0.5386 | 0.5126 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Wentworth | D3 | CNE | — | 23 | 6 | 6 | 12 | 0.522 |
| 2019-20 | SUNY Plattsburgh | D3 | — | FR | 26 | 6 | 5 | 11 | 0.423 |
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.