| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Calgary Canucks | AJHL | 12 | 1 | 1 | 2 | 0.167 | 0.0559 | 0.0619 | 0.1545 | 0.1712 |
| 2018-19 | Calgary Canucks | AJHL | 58 | 0 | 8 | 8 | 0.138 | 0.0463 | 0.0490 | 0.1278 | 0.1354 |
| 2019-20 | Calgary Canucks | AJHL | 57 | 1 | 12 | 13 | 0.228 | 0.0765 | 0.0765 | 0.2114 | 0.2114 |
| 2020-21 | Calgary Canucks | AJHL | 15 | 0 | 5 | 5 | 0.333 | 0.1118 | 0.1118 | 0.3089 | 0.3089 |
| 2021-22 | Calgary Canucks | AJHL | 60 | 4 | 18 | 22 | 0.367 | 0.1230 | 0.1124 | 0.3399 | 0.3105 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Albertus Magnus | D3 | UCHC | SR | 26 | 3 | 19 | 22 | 0.846 |
| 2024-25 | Albertus Magnus | D3 | UCHC | JR | 26 | 3 | 5 | 8 | 0.308 |
| 2023-24 | Albertus Magnus | D3 | UCHC | SO | 23 | 3 | 8 | 11 | 0.478 |
| 2022-23 | Albertus Magnus | D3 | UCHC | FR | 21 | 0 | 4 | 4 | 0.191 |
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.