| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Sherwood Park Crusaders | AJHL | 58 | 31 | 42 | 73 | 1.259 | 0.4221 | 0.4658 | 1.1647 | 1.2852 |
| 2019-20 | Sherwood Park Crusaders | AJHL | 54 | 53 | 46 | 99 | 1.833 | 0.6149 | 0.6149 | 1.6965 | 1.6965 |
| 2024-25 | TPS | Liiga | 5 | 0 | 1 | 1 | 0.200 | 0.5000 | 0.5945 | 1.7192 | 2.0442 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Denver | D1 | NCHC | SO | 39 | 23 | 22 | 45 | 1.154 |
| 2020-21 | Denver | D1 | NCHC | FR | 24 | 13 | 7 | 20 | 0.833 |
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.