| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Merritt Centennials | BCHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Merritt Centennials | BCHL | 57 | 5 | 28 | 33 | 0.579 | 0.2231 | 0.2161 | 0.8435 | 0.8171 |
| 2022-23 | JYP | Liiga | 48 | 3 | 7 | 10 | 0.208 | 0.5208 | 0.4735 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Princeton | D1 | ECAC | SR | 30 | 3 | 17 | 20 | 0.667 |
| 2017-18 | Princeton | D1 | ECAC | JR | 31 | 7 | 26 | 33 | 1.065 |
| 2016-17 | Princeton | D1 | ECAC | SO | 34 | 4 | 21 | 25 | 0.735 |
| 2015-16 | Princeton | D1 | ECAC | FR | 31 | 2 | 5 | 7 | 0.226 |
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.