| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Alberni Valley Bulldogs | BCHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Alberni Valley Bulldogs | BCHL | 44 | 5 | 35 | 40 | 0.909 | 0.3503 | 0.3947 | 1.3230 | 1.4905 |
| 2016-17 | Alberni Valley Bulldogs | BCHL | 53 | 10 | 20 | 30 | 0.566 | 0.2181 | 0.2346 | 0.8237 | 0.8859 |
| 2017-18 | Vernon Vipers | BCHL | 51 | 10 | 21 | 31 | 0.608 | 0.2342 | 0.2406 | 0.8845 | 0.9088 |
| 2022-23 | Univ. of British Columbia | USports-M | 25 | 5 | 7 | 12 | 0.480 | 0.2532 | 0.2477 | 1.4069 | 1.3765 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Arizona State | D1 | NCHC | SR | 26 | 2 | 3 | 5 | 0.192 |
| 2020-21 | Arizona State | D1 | NCHC | JR | 26 | 2 | 5 | 7 | 0.269 |
| 2019-20 | Arizona State | D1 | NCHC | SO | 36 | 5 | 13 | 18 | 0.500 |
| 2018-19 | Arizona State | D1 | NCHC | FR | 35 | 3 | 11 | 14 | 0.400 |
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.