| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Carleton Place Canadians | CCHL | 7 | 1 | 1 | 2 | 0.286 | 0.0912 | 0.1058 | 0.2212 | 0.2565 |
| 2016-17 | Carleton Place Canadians | CCHL | 4 | 1 | 1 | 2 | 0.500 | 0.1596 | 0.1767 | 0.3871 | 0.4286 |
| 2017-18 | Carleton Place Canadians | CCHL | 5 | 1 | 0 | 1 | 0.200 | 0.0639 | 0.0675 | 0.1548 | 0.1634 |
| 2018-19 | Carleton Place Canadians | CCHL | 55 | 17 | 26 | 43 | 0.782 | 0.2496 | 0.2524 | 0.6052 | 0.6119 |
| 2019-20 | Carleton Place Canadians | CCHL | 56 | 23 | 58 | 81 | 1.446 | 0.4618 | 0.4618 | 1.1197 | 1.1197 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Wisconsin | D1 | BigTen | — | 37 | 18 | 19 | 37 | 1.000 |
| 2023-24 | Michigan Tech | D1 | CCHA | SR | 40 | 18 | 15 | 33 | 0.825 |
| 2022-23 | Michigan Tech | D1 | CCHA | JR | 39 | 12 | 19 | 31 | 0.795 |
| 2021-22 | Michigan Tech | D1 | CCHA | SO | 36 | 5 | 8 | 13 | 0.361 |
| 2020-21 | Michigan Tech | D1 | WCHA | FR | 13 | 1 | 1 | 2 | 0.154 |
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.