| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Chilliwack Chiefs | BCHL | 7 | 0 | 1 | 1 | 0.143 | 0.0551 | 0.0629 | 0.2080 | 0.2375 |
| 2015-16 | Chilliwack Chiefs | BCHL | 55 | 15 | 29 | 44 | 0.800 | 0.3082 | 0.3354 | 1.1642 | 1.2669 |
| 2016-17 | — | BCHL | 53 | 5 | 12 | 17 | 0.321 | 0.1236 | 0.1282 | 0.4669 | 0.4842 |
| 2017-18 | Vernon Vipers | BCHL | 53 | 17 | 33 | 50 | 0.943 | 0.3635 | 0.3595 | 1.3729 | 1.3577 |
| 2018-19 | Vernon Vipers | BCHL | 30 | 10 | 19 | 29 | 0.967 | 0.3725 | 0.3483 | 1.4068 | 1.3154 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Nebraska Omaha | D1 | NCHC | — | 39 | 3 | 12 | 15 | 0.385 |
| 2022-23 | Notre Dame | D1 | BigTen | SR | 36 | 6 | 9 | 15 | 0.417 |
| 2021-22 | Notre Dame | D1 | BigTen | JR | 36 | 8 | 11 | 19 | 0.528 |
| 2020-21 | Notre Dame | D1 | BigTen | SO | 28 | 4 | 7 | 11 | 0.393 |
| 2019-20 | Notre Dame | D1 | BigTen | FR | 37 | 1 | 6 | 7 | 0.189 |
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.