| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Abitibi Eskimos | NOJHL | 7 | 2 | 1 | 3 | 0.429 | 0.0723 | 0.0729 | 0.1781 | 0.1796 |
| 2016-17 | Surrey Eagles | BCHL | 40 | 7 | 18 | 25 | 0.625 | 0.2432 | 0.2221 | 0.9114 | 0.8323 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Aurora | D3 | — | FR | 14 | 2 | 5 | 7 | 0.500 |
| 2017-18 | Neumann | D3 | — | FR | 9 | 3 | 3 | 6 | 0.667 |
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.