| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Northern Manitoba Blizzard | MJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Northern Manitoba Blizzard | MJHL | 60 | 5 | 21 | 26 | 0.433 | 0.0834 | 0.0904 | 0.2732 | 0.2961 |
| 2019-20 | Maryland Black Bears | NAHL | 50 | 1 | 7 | 8 | 0.160 | 0.0588 | 0.0588 | 0.1689 | 0.1689 |
| 2020-21 | West Kelowna Warriors | BCHL | 17 | 0 | 2 | 2 | 0.118 | 0.0453 | 0.0453 | 0.1711 | 0.1711 |
| 2021-22 | Northern Manitoba Blizzard | MJHL | 54 | 4 | 20 | 24 | 0.444 | 0.0855 | 0.0800 | 0.2802 | 0.2621 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Anna Maria | D3 | MASCAC | — | 22 | 2 | 4 | 6 | 0.273 |
| 2022-23 | Anna Maria | D3 | MASCAC | — | 25 | 2 | 6 | 8 | 0.320 |
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.