| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Mississauga Chargers | OJHL | 53 | 1 | 14 | 15 | 0.283 | 0.0694 | 0.0696 | 0.1937 | 0.1942 |
| 2016-17 | Mississauga Chargers | OJHL | 18 | 1 | 4 | 5 | 0.278 | 0.0681 | 0.0652 | 0.1902 | 0.1822 |
| 2017-18 | — | OJHL | 21 | 2 | 5 | 7 | 0.333 | 0.0817 | 0.0743 | 0.2281 | 0.2075 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Nazareth | D3 | UCHC | — | 24 | 1 | 14 | 15 | 0.625 |
| 2021-22 | King's | D3 | MAC | SR | 20 | 3 | 10 | 13 | 0.650 |
| 2020-21 | King's | D3 | MAC | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | King's | D1 | — | SO | 24 | 4 | 10 | 14 | 0.583 |
| 2019-20 | King's | D3 | MAC | SO | 24 | 4 | 10 | 14 | 0.583 |
| 2018-19 | King's | D1 | — | FR | 21 | 0 | 4 | 4 | 0.191 |
| 2018-19 | King's | D3 | MAC | FR | 21 | 0 | 4 | 4 | 0.191 |
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.