| 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 | 0.2794 | 0.3211 | 0.6901 | 0.7931 |
| 2014-15 | Newmarket Hurricanes | OJHL | 1 | 0 | 1 | 1 | 1.000 | 0.2794 | 0.3067 | 0.6901 | 0.7574 |
| 2015-16 | Milton Menace | OJHL | 52 | 3 | 5 | 8 | 0.154 | 0.0430 | 0.0448 | 0.1061 | 0.1106 |
| 2016-17 | — | OJHL | 48 | 6 | 9 | 15 | 0.312 | 0.0873 | 0.0871 | 0.2157 | 0.2152 |
| 2017-18 | Toronto Patriots | OJHL | 53 | 8 | 12 | 20 | 0.377 | 0.1054 | 0.1001 | 0.2604 | 0.2472 |
| 2018-19 | — | OJHL | 59 | 11 | 25 | 36 | 0.610 | 0.1705 | 0.1535 | 0.4211 | 0.3792 |
| 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 | D3 | CNE | SO | 5 | 1 | 0 | 1 | 0.200 |
| 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.