| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | — | USHL | 47 | 2 | 8 | 10 | 0.213 | 0.1255 | 0.1331 | 0.6391 | 0.6780 |
| 2016-17 | Vernon Vipers | BCHL | 50 | 10 | 16 | 26 | 0.520 | 0.2004 | 0.2064 | 0.7568 | 0.7794 |
| 2017-18 | Surrey Eagles | BCHL | 58 | 21 | 28 | 49 | 0.845 | 0.3255 | 0.3196 | 1.2294 | 1.2071 |
| 2018-19 | Powell River Kings | BCHL | 55 | 41 | 43 | 84 | 1.527 | 0.5885 | 0.5461 | 2.2227 | 2.0625 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | RPI | D1 | ECAC | — | 37 | 6 | 15 | 21 | 0.568 |
| 2022-23 | UMass Lowell | D1 | HockeyEast | — | 24 | 1 | 9 | 10 | 0.417 |
| 2021-22 | UMass Lowell | D1 | HockeyEast | — | 35 | 8 | 14 | 22 | 0.629 |
| 2020-21 | Nebraska Omaha | D1 | NCHC | SO | 18 | 1 | 6 | 7 | 0.389 |
| 2019-20 | Nebraska Omaha | D1 | NCHC | FR | 36 | 2 | 16 | 18 | 0.500 |
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.