| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Canmore Eagles | AJHL | 60 | 21 | 29 | 50 | 0.833 | 0.2765 | 0.3069 | 0.7723 | 0.8572 |
| 2018-19 | Canmore Eagles | AJHL | 59 | 34 | 40 | 74 | 1.254 | 0.4161 | 0.4417 | 1.1624 | 1.2338 |
| 2019-20 | Canmore Eagles | AJHL | 53 | 36 | 46 | 82 | 1.547 | 0.5134 | 0.5134 | 1.4339 | 1.4339 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Arizona State | D1 | NCHC | — | 37 | 6 | 3 | 9 | 0.243 |
| 2022-23 | Colgate | D1 | ECAC | — | 40 | 21 | 18 | 39 | 0.975 |
| 2021-22 | Colgate | D1 | ECAC | — | 39 | 10 | 21 | 31 | 0.795 |
| 2020-21 | Colgate | D1 | ECAC | — | 21 | 6 | 7 | 13 | 0.619 |
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.