| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Ottawa Jr. Senators | CCHL | 46 | 9 | 10 | 19 | 0.413 | 0.0896 | 0.1002 | 0.3195 | 0.3573 |
| 2017-18 | Toronto Patriots | OJHL | 48 | 8 | 13 | 21 | 0.438 | 0.1072 | 0.1140 | 0.3012 | 0.3202 |
| 2018-19 | Toronto Patriots | OJHL | 45 | 14 | 18 | 32 | 0.711 | 0.1743 | 0.1768 | 0.4896 | 0.4965 |
| 2019-20 | Toronto Patriots | OJHL | 39 | 14 | 29 | 43 | 1.103 | 0.2702 | 0.2702 | 0.7591 | 0.7591 |
| 2020-21 | Cowichan Valley Capitals | BCHL | 15 | 3 | 6 | 9 | 0.600 | 0.2312 | 0.2312 | 0.8732 | 0.8732 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Hobart | D3 | SUNYAC | — | 7 | 1 | 2 | 3 | 0.429 |
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.