| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Newmarket Hurricanes | OJHL | 2 | 0 | 2 | 2 | 1.000 | 0.2451 | 0.2817 | 0.6885 | 0.7913 |
| 2014-15 | Newmarket Hurricanes | OJHL | 1 | 0 | 1 | 1 | 1.000 | 0.2451 | 0.2690 | 0.6885 | 0.7557 |
| 2015-16 | Milton Menace | OJHL | 52 | 3 | 5 | 8 | 0.154 | 0.0377 | 0.0393 | 0.1059 | 0.1104 |
| 2016-17 | — | OJHL | 48 | 6 | 9 | 15 | 0.312 | 0.0766 | 0.0764 | 0.2152 | 0.2147 |
| 2017-18 | Toronto Patriots | OJHL | 53 | 8 | 12 | 20 | 0.377 | 0.0925 | 0.0878 | 0.2598 | 0.2467 |
| 2018-19 | — | OJHL | 59 | 11 | 25 | 36 | 0.610 | 0.1496 | 0.1347 | 0.4201 | 0.3783 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Curry | D3 | CNE | SR | 29 | 8 | 25 | 33 | 1.138 |
| 2021-22 | Curry | D3 | CNE | JR | 21 | 5 | 7 | 12 | 0.571 |
| 2020-21 | Curry | D1 | CNE | SO | 5 | 1 | 0 | 1 | 0.200 |
| 2020-21 | Curry | D3 | CNE | SO | 5 | 1 | 0 | 1 | 0.200 |
| 2019-20 | Curry | D1 | CNE | FR | 24 | 4 | 8 | 12 | 0.500 |
| 2019-20 | Curry | D3 | CNE | FR | 24 | 4 | 8 | 12 | 0.500 |
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.