| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Nipawin Hawks | SJHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Nipawin Hawks | SJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | — | SJHL | 25 | 2 | 3 | 5 | 0.200 | 0.0512 | 0.0525 | 0.1482 | 0.1521 |
| 2017-18 | Yorkton Terriers | SJHL | 42 | 3 | 10 | 13 | 0.309 | 0.0793 | 0.0777 | 0.2294 | 0.2248 |
| 2018-19 | Humboldt Broncos | SJHL | 21 | 0 | 4 | 4 | 0.191 | 0.0488 | 0.0453 | 0.1412 | 0.1311 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Castleton | D3 | LittleEast | SR | 26 | 0 | 1 | 1 | 0.038 |
| 2021-22 | Castleton | D3 | LittleEast | JR | 20 | 0 | 1 | 1 | 0.050 |
| 2020-21 | Castleton | D1 | — | SO | 7 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Castleton | D3 | LittleEast | SO | 7 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Castleton | D1 | — | FR | 12 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Castleton | D3 | LittleEast | FR | 12 | 0 | 0 | 0 | 0.000 |
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.