| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Renfrew Wolves | CCHL | 7 | 2 | 1 | 3 | 0.429 | 0.0930 | 0.1065 | 0.3316 | 0.3799 |
| 2017-18 | Renfrew Wolves | CCHL | 54 | 4 | 6 | 10 | 0.185 | 0.0402 | 0.0440 | 0.1433 | 0.1568 |
| 2018-19 | Cowichan Valley Capitals | BCHL | 54 | 5 | 8 | 13 | 0.241 | 0.0927 | 0.0973 | 0.3503 | 0.3678 |
| 2019-20 | Cowichan Valley Capitals | BCHL | 36 | 8 | 13 | 21 | 0.583 | 0.2247 | 0.2247 | 0.8489 | 0.8489 |
| 2020-21 | Grande Prairie Storm | AJHL | 18 | 6 | 4 | 10 | 0.556 | 0.1863 | 0.1863 | 0.5142 | 0.5142 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Cornell | D1 | ECAC | — | 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.