| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Nanaimo Clippers | BCHL | 54 | 20 | 17 | 37 | 0.685 | 0.2552 | 0.2639 | 0.9984 | 1.0323 |
| 2014-15 | Nanaimo Clippers | BCHL | 34 | 11 | 22 | 33 | 0.971 | 0.3615 | 0.3569 | 1.4143 | 1.3964 |
| 2015-16 | Nanaimo Clippers | BCHL | 56 | 27 | 57 | 84 | 1.500 | 0.5587 | 0.5217 | 2.1856 | 2.0407 |
| 2022-23 | Shanghai Dragons | KHL | 60 | 14 | 5 | 19 | 0.317 | 0.7917 | 0.7578 | — | — |
| 2023-24 | Shanghai Dragons | KHL | 67 | 23 | 12 | 35 | 0.522 | 1.3060 | 1.1769 | — | — |
| 2024-25 | Amur Khabarovsk | KHL | 33 | 13 | 9 | 22 | 0.667 | 1.6667 | 1.4527 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Clarkson | D1 | ECAC | SR | 28 | 8 | 21 | 29 | 1.036 |
| 2018-19 | Clarkson | D1 | ECAC | JR | 38 | 14 | 15 | 29 | 0.763 |
| 2017-18 | Clarkson | D1 | ECAC | SO | 40 | 11 | 22 | 33 | 0.825 |
| 2016-17 | Clarkson | D1 | ECAC | FR | 38 | 7 | 14 | 21 | 0.553 |
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.