| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Renfrew Wolves | CCHL | 10 | 1 | 1 | 2 | 0.200 | 0.0434 | 0.0483 | 0.1547 | 0.1720 |
| 2016-17 | Nanaimo Clippers | BCHL | 52 | 8 | 10 | 18 | 0.346 | 0.1334 | 0.1422 | 0.5038 | 0.5369 |
| 2017-18 | Nanaimo Clippers | BCHL | 54 | 10 | 31 | 41 | 0.759 | 0.2926 | 0.2977 | 1.1050 | 1.1244 |
| 2018-19 | Penticton Vees | BCHL | 54 | 21 | 39 | 60 | 1.111 | 0.4281 | 0.4125 | 1.6170 | 1.5582 |
| 2019-20 | Penticton Vees | BCHL | 58 | 20 | 42 | 62 | 1.069 | 0.4119 | 0.4119 | 1.5557 | 1.5557 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Wisconsin | D1 | BigTen | — | 40 | 9 | 23 | 32 | 0.800 |
| 2022-23 | Minnesota | D1 | BigTen | — | 39 | 23 | 16 | 39 | 1.000 |
| 2021-22 | Minnesota | D1 | BigTen | — | 43 | 8 | 9 | 17 | 0.395 |
| 2020-21 | Clarkson | D1 | ECAC | FR | 17 | 0 | 3 | 3 | 0.176 |
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.