| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Winnipeg Monarchs | MJHL | 6 | 2 | 0 | 2 | 0.333 | 0.0642 | 0.0642 | 0.2100 | 0.2100 |
| 2021-22 | Northern Manitoba Blizzard | MJHL | 43 | 12 | 24 | 36 | 0.837 | 0.1612 | 0.1678 | 0.5276 | 0.5493 |
| 2022-23 | Portage Terriers | MJHL | 27 | 5 | 13 | 18 | 0.667 | 0.1283 | 0.1276 | 0.4202 | 0.4178 |
| 2023-24 | — | NAHL | 29 | 4 | 5 | 9 | 0.310 | 0.1102 | 0.1058 | 0.3258 | 0.3129 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Elmira | D3 | UCHC | SO | 14 | 7 | 4 | 11 | 0.786 |
| 2024-25 | Elmira | D3 | UCHC | — | 0 | 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.