| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Toronto Patriots | OJHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Newmarket Hurricanes | OJHL | 40 | 4 | 2 | 6 | 0.150 | 0.0419 | 0.0419 | 0.1035 | 0.1035 |
| 2017-18 | Newmarket Hurricanes | OJHL | 48 | 5 | 8 | 13 | 0.271 | 0.0757 | 0.0721 | 0.1869 | 0.1780 |
| 2018-19 | Caledon Admirals | OJHL | 54 | 15 | 23 | 38 | 0.704 | 0.1966 | 0.1776 | 0.4856 | 0.4386 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | SUNY Potsdam | D3 | SUNYAC | SR | 22 | 4 | 3 | 7 | 0.318 |
| 2021-22 | SUNY Potsdam | D3 | SUNYAC | JR | 18 | 1 | 1 | 2 | 0.111 |
| 2019-20 | SUNY Potsdam | D3 | — | FR | 5 | 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.