| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Weyburn Red Wings | SJHL | 35 | 4 | 5 | 9 | 0.257 | 0.0659 | 0.0675 | 0.1905 | 0.1952 |
| 2022-23 | Northern Manitoba Blizzard | MJHL | 52 | 7 | 29 | 36 | 0.692 | 0.1333 | 0.1292 | 0.4363 | 0.4227 |
| 2023-24 | Northern Manitoba Blizzard | MJHL | 58 | 9 | 43 | 52 | 0.897 | 0.1726 | 0.1582 | 0.5650 | 0.5178 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hamilton | D3 | NESCAC | — | 11 | 1 | 2 | 3 | 0.273 |
| 2024-25 | Hamilton | D3 | NESCAC | — | 22 | 2 | 6 | 8 | 0.364 |
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.