| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Drayton Valley Thunder | AJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Fort McMurray Oil Barons | AJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | La Ronge Ice Wolves | SJHL | 20 | 6 | 8 | 14 | 0.700 | 0.1793 | 0.1891 | 0.5271 | 0.5558 |
| 2018-19 | La Ronge Ice Wolves | SJHL | 56 | 28 | 42 | 70 | 1.250 | 0.3202 | 0.3211 | 0.9413 | 0.9440 |
| 2019-20 | — | SJHL | 57 | 13 | 38 | 51 | 0.895 | 0.2292 | 0.2292 | 0.6737 | 0.6737 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Stevenson | D3 | MAC | — | 28 | 10 | 17 | 27 | 0.964 |
| 2022-23 | Wisconsin-Superior | D3 | WIAC | JR | 29 | 3 | 10 | 13 | 0.448 |
| 2021-22 | Wisconsin-Superior | D3 | WIAC | SO | 23 | 9 | 7 | 16 | 0.696 |
| 2020-21 | Wisconsin-Superior | D1 | BigTen | FR | 8 | 0 | 1 | 1 | 0.125 |
| 2020-21 | Wisconsin-Superior | D3 | BigTen | FR | 8 | 0 | 1 | 1 | 0.125 |
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.