| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Chilliwack Chiefs | BCHL | 33 | 3 | 13 | 16 | 0.485 | 0.1887 | 0.1820 | 0.7070 | 0.6817 |
| 2016-17 | Spruce Grove Saints | AJHL | 60 | 14 | 21 | 35 | 0.583 | 0.1948 | 0.1775 | 0.5415 | 0.4933 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Trinity | D3 | NESCAC | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Trinity | D3 | NESCAC | JR | 27 | 4 | 7 | 11 | 0.407 |
| 2018-19 | Trinity | D3 | NESCAC | SO | 26 | 2 | 7 | 9 | 0.346 |
| 2017-18 | Trinity | D3 | NESCAC | FR | 24 | 6 | 7 | 13 | 0.542 |
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.