| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Prince George Spruce Kings | BCHL | 57 | 4 | 17 | 21 | 0.368 | 0.1434 | 0.1479 | 0.5372 | 0.5540 |
| 2016-17 | Prince George Spruce Kings | BCHL | 56 | 12 | 15 | 27 | 0.482 | 0.1876 | 0.1839 | 0.7030 | 0.6891 |
| 2017-18 | Nanaimo Clippers | BCHL | 58 | 16 | 25 | 41 | 0.707 | 0.2751 | 0.2564 | 1.0309 | 0.9610 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Marian | D3 | NCHA | SR | 27 | 7 | 18 | 25 | 0.926 |
| 2020-21 | Marian | D3 | NCHA | JR | 19 | 8 | 10 | 18 | 0.947 |
| 2019-20 | Marian | D3 | NCHA | SO | 28 | 8 | 16 | 24 | 0.857 |
| 2018-19 | Marian | D3 | NCHA | FR | 23 | 3 | 9 | 12 | 0.522 |
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.